Design of Micro-strip Symmetrical Dual-band Filter Based on Wireless Sensor Network Nodes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Wenbo Cheng, Kai Deng, Wei Cheng

ABSTRACT

The micro-strip antenna filter design of wireless sensor network nodes is usually used to improve the out-of-band suppression and frequency selectivity by increasing the order of the filters, but the filters are usually single band, not only the size is large, but also the in-band characteristics of the filters are not ideal. This paper proposes a method to design a micro-strip symmetric dual-band filter in wireless sensor network nodes. Firstly, the coupling matrix of single-passband filter is obtained by using the synthesis method of generalized Chebyshev filter function. Then, the coupling matrix of the dual-passband filter is generated according to the reflection zeros and the transmission zeros. Finally, the S parameters response curve is drawn by mapping the normalized frequency domain of the dual-passband to the actual frequency domain. According to the data analysis and experimental results, the method is feasible and effective to design a micro-strip symmetrical dual-band filter. It can not only provide a more guiding design method for the joint design of antenna and RF front-end circuit, but also realize the spread of single-passband filter to multi-frequency for a wireless sensor network node antenna. More... »

PAGES

34

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13638-019-1347-y

DOI

http://dx.doi.org/10.1186/s13638-019-1347-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112071603


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1005", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Communications Technologies", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Technology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chengdu University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.411288.6", 
          "name": [
            "School of Physics and Electronic Engineering, Yibin University, 644000, Ybin, China", 
            "Key Lab of Earth Exploration & Information Techniques of Ministry of Education, Chengdu University of Technology, 610059, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Wenbo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yibin University", 
          "id": "https://www.grid.ac/institutes/grid.413041.3", 
          "name": [
            "School of Physics and Electronic Engineering, Yibin University, 644000, Ybin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "Kai", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yibin University", 
          "id": "https://www.grid.ac/institutes/grid.413041.3", 
          "name": [
            "Network and Multimedia Management Center, Yibin University, 644000, Ybin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Wei", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/0471221619.ch3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009331989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mop.24954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017410905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mop.24954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017410905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/el.2013.4217", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056754971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/el.2015.2394", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056756840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/iet-map.2011.0261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056830885"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/iet-map.2015.0495", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056831739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/iet-map.2016.0375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056831945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/22.754877", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061126251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmtt.2002.806937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061705756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmtt.2015.2488643", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061711056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmtt.2016.2638814", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061711718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12677/ja.2013.24005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064598057"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12677/ja.2014.32002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064598059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12677/ja.2015.43003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064598066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1874110x01408011280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069226953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2528/pierc13052204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070909145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/amm.263-266.943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071921923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/el.2016.4192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083922234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/el.2017.0580", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084137692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-017-0671-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085382293", 
          "https://doi.org/10.1007/s11032-017-0671-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-017-0671-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085382293", 
          "https://doi.org/10.1007/s11032-017-0671-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1360/n112016-00286", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085539856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12677/ja.2017.61001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085642772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/el.2017.1556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085890045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tap.2017.2735461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091035466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmtt.2017.2737989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091315121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmtt.2017.2740170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091480537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1587/elex.14.20170832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091595719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mop.30934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093085017"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "The micro-strip antenna filter design of wireless sensor network nodes is usually used to improve the out-of-band suppression and frequency selectivity by increasing the order of the filters, but the filters are usually single band, not only the size is large, but also the in-band characteristics of the filters are not ideal. This paper proposes a method to design a micro-strip symmetric dual-band filter in wireless sensor network nodes. Firstly, the coupling matrix of single-passband filter is obtained by using the synthesis method of generalized Chebyshev filter function. Then, the coupling matrix of the dual-passband filter is generated according to the reflection zeros and the transmission zeros. Finally, the S parameters response curve is drawn by mapping the normalized frequency domain of the dual-passband to the actual frequency domain. According to the data analysis and experimental results, the method is feasible and effective to design a micro-strip symmetrical dual-band filter. It can not only provide a more guiding design method for the joint design of antenna and RF front-end circuit, but also realize the spread of single-passband filter to multi-frequency for a wireless sensor network node antenna.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13638-019-1347-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1050477", 
        "issn": [
          "1687-1472", 
          "1687-1499"
        ], 
        "name": "EURASIP Journal on Wireless Communications and Networking", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2019"
      }
    ], 
    "name": "Design of Micro-strip Symmetrical Dual-band Filter Based on Wireless Sensor Network Nodes", 
    "pagination": "34", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d820b9b61b2685c7431ad6e246c81a372c5b64b76a1b5e5f961cf2a8b81013cc"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13638-019-1347-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112071603"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13638-019-1347-y", 
      "https://app.dimensions.ai/details/publication/pub.1112071603"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:04", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000334_0000000334/records_127794_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13638-019-1347-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13638-019-1347-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13638-019-1347-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13638-019-1347-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13638-019-1347-y'


 

This table displays all metadata directly associated to this object as RDF triples.

162 TRIPLES      21 PREDICATES      55 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13638-019-1347-y schema:about anzsrc-for:10
2 anzsrc-for:1005
3 schema:author Nf2d0cbfb89fa4e22b9248b4576354da9
4 schema:citation sg:pub.10.1007/s11032-017-0671-3
5 https://doi.org/10.1002/0471221619.ch3
6 https://doi.org/10.1002/mop.24954
7 https://doi.org/10.1002/mop.30934
8 https://doi.org/10.1049/el.2013.4217
9 https://doi.org/10.1049/el.2015.2394
10 https://doi.org/10.1049/el.2016.4192
11 https://doi.org/10.1049/el.2017.0580
12 https://doi.org/10.1049/el.2017.1556
13 https://doi.org/10.1049/iet-map.2011.0261
14 https://doi.org/10.1049/iet-map.2015.0495
15 https://doi.org/10.1049/iet-map.2016.0375
16 https://doi.org/10.1109/22.754877
17 https://doi.org/10.1109/tap.2017.2735461
18 https://doi.org/10.1109/tmtt.2002.806937
19 https://doi.org/10.1109/tmtt.2015.2488643
20 https://doi.org/10.1109/tmtt.2016.2638814
21 https://doi.org/10.1109/tmtt.2017.2737989
22 https://doi.org/10.1109/tmtt.2017.2740170
23 https://doi.org/10.12677/ja.2013.24005
24 https://doi.org/10.12677/ja.2014.32002
25 https://doi.org/10.12677/ja.2015.43003
26 https://doi.org/10.12677/ja.2017.61001
27 https://doi.org/10.1360/n112016-00286
28 https://doi.org/10.1587/elex.14.20170832
29 https://doi.org/10.2174/1874110x01408011280
30 https://doi.org/10.2528/pierc13052204
31 https://doi.org/10.4028/www.scientific.net/amm.263-266.943
32 schema:datePublished 2019-12
33 schema:datePublishedReg 2019-12-01
34 schema:description The micro-strip antenna filter design of wireless sensor network nodes is usually used to improve the out-of-band suppression and frequency selectivity by increasing the order of the filters, but the filters are usually single band, not only the size is large, but also the in-band characteristics of the filters are not ideal. This paper proposes a method to design a micro-strip symmetric dual-band filter in wireless sensor network nodes. Firstly, the coupling matrix of single-passband filter is obtained by using the synthesis method of generalized Chebyshev filter function. Then, the coupling matrix of the dual-passband filter is generated according to the reflection zeros and the transmission zeros. Finally, the S parameters response curve is drawn by mapping the normalized frequency domain of the dual-passband to the actual frequency domain. According to the data analysis and experimental results, the method is feasible and effective to design a micro-strip symmetrical dual-band filter. It can not only provide a more guiding design method for the joint design of antenna and RF front-end circuit, but also realize the spread of single-passband filter to multi-frequency for a wireless sensor network node antenna.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N0871c39179aa4a699d985bf7be18b6b5
39 Na8b8782d438f49ea9f1ad46c12ecb166
40 sg:journal.1050477
41 schema:name Design of Micro-strip Symmetrical Dual-band Filter Based on Wireless Sensor Network Nodes
42 schema:pagination 34
43 schema:productId N2a5d2f900ef8497980a75a04db9c1699
44 Nd28eddf889474913941432cdcd9fa67e
45 Nf8219576eec74d4b8db6e0006234e780
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112071603
47 https://doi.org/10.1186/s13638-019-1347-y
48 schema:sdDatePublished 2019-04-11T09:04
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher Nc3a5e340d661485f8d8474580ca9d763
51 schema:url https://link.springer.com/10.1186%2Fs13638-019-1347-y
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N0871c39179aa4a699d985bf7be18b6b5 schema:issueNumber 1
56 rdf:type schema:PublicationIssue
57 N238c951d32c84f248f2f9e0c0e0a31ab schema:affiliation https://www.grid.ac/institutes/grid.413041.3
58 schema:familyName Cheng
59 schema:givenName Wei
60 rdf:type schema:Person
61 N2a5d2f900ef8497980a75a04db9c1699 schema:name readcube_id
62 schema:value d820b9b61b2685c7431ad6e246c81a372c5b64b76a1b5e5f961cf2a8b81013cc
63 rdf:type schema:PropertyValue
64 N34278586d3d9488baacc8b6ffa2cb7c5 schema:affiliation https://www.grid.ac/institutes/grid.413041.3
65 schema:familyName Deng
66 schema:givenName Kai
67 rdf:type schema:Person
68 N389e3a10ce964360b914f075e5025b54 rdf:first N34278586d3d9488baacc8b6ffa2cb7c5
69 rdf:rest Nbc6a963b3f4d4185a65af9689a28d238
70 N9fa65567e092401b8957d61b44cb4454 schema:affiliation https://www.grid.ac/institutes/grid.411288.6
71 schema:familyName Cheng
72 schema:givenName Wenbo
73 rdf:type schema:Person
74 Na8b8782d438f49ea9f1ad46c12ecb166 schema:volumeNumber 2019
75 rdf:type schema:PublicationVolume
76 Nbc6a963b3f4d4185a65af9689a28d238 rdf:first N238c951d32c84f248f2f9e0c0e0a31ab
77 rdf:rest rdf:nil
78 Nc3a5e340d661485f8d8474580ca9d763 schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 Nd28eddf889474913941432cdcd9fa67e schema:name doi
81 schema:value 10.1186/s13638-019-1347-y
82 rdf:type schema:PropertyValue
83 Nf2d0cbfb89fa4e22b9248b4576354da9 rdf:first N9fa65567e092401b8957d61b44cb4454
84 rdf:rest N389e3a10ce964360b914f075e5025b54
85 Nf8219576eec74d4b8db6e0006234e780 schema:name dimensions_id
86 schema:value pub.1112071603
87 rdf:type schema:PropertyValue
88 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
89 schema:name Technology
90 rdf:type schema:DefinedTerm
91 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
92 schema:name Communications Technologies
93 rdf:type schema:DefinedTerm
94 sg:journal.1050477 schema:issn 1687-1472
95 1687-1499
96 schema:name EURASIP Journal on Wireless Communications and Networking
97 rdf:type schema:Periodical
98 sg:pub.10.1007/s11032-017-0671-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085382293
99 https://doi.org/10.1007/s11032-017-0671-3
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1002/0471221619.ch3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009331989
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1002/mop.24954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017410905
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1002/mop.30934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093085017
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1049/el.2013.4217 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056754971
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1049/el.2015.2394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056756840
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1049/el.2016.4192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083922234
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1049/el.2017.0580 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084137692
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1049/el.2017.1556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085890045
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1049/iet-map.2011.0261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056830885
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1049/iet-map.2015.0495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056831739
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1049/iet-map.2016.0375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056831945
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1109/22.754877 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061126251
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1109/tap.2017.2735461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091035466
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1109/tmtt.2002.806937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061705756
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1109/tmtt.2015.2488643 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061711056
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1109/tmtt.2016.2638814 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061711718
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1109/tmtt.2017.2737989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091315121
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1109/tmtt.2017.2740170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091480537
136 rdf:type schema:CreativeWork
137 https://doi.org/10.12677/ja.2013.24005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064598057
138 rdf:type schema:CreativeWork
139 https://doi.org/10.12677/ja.2014.32002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064598059
140 rdf:type schema:CreativeWork
141 https://doi.org/10.12677/ja.2015.43003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064598066
142 rdf:type schema:CreativeWork
143 https://doi.org/10.12677/ja.2017.61001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085642772
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1360/n112016-00286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085539856
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1587/elex.14.20170832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091595719
148 rdf:type schema:CreativeWork
149 https://doi.org/10.2174/1874110x01408011280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069226953
150 rdf:type schema:CreativeWork
151 https://doi.org/10.2528/pierc13052204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070909145
152 rdf:type schema:CreativeWork
153 https://doi.org/10.4028/www.scientific.net/amm.263-266.943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071921923
154 rdf:type schema:CreativeWork
155 https://www.grid.ac/institutes/grid.411288.6 schema:alternateName Chengdu University of Technology
156 schema:name Key Lab of Earth Exploration & Information Techniques of Ministry of Education, Chengdu University of Technology, 610059, Chengdu, China
157 School of Physics and Electronic Engineering, Yibin University, 644000, Ybin, China
158 rdf:type schema:Organization
159 https://www.grid.ac/institutes/grid.413041.3 schema:alternateName Yibin University
160 schema:name Network and Multimedia Management Center, Yibin University, 644000, Ybin, China
161 School of Physics and Electronic Engineering, Yibin University, 644000, Ybin, China
162 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...