Blind Joint Equalization of Multiple Synchronous Mobile Users for Spatial Division Multiple Access View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1996

AUTHORS

Dirk T. M. Slock

ABSTRACT

We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m > p antennas receiving mixtures of these signals through multipath propagation (equivalently, oversampling of the received signals of a smaller number of antenna signals could be used). We consider conditions on the matrix channel response for the existence of a Zero-Forcing Equalizer (ZEE) (which cancels inter-symbol and inter-user interference). In the noisefree case, we show how a ZFE can be obtained from linear prediction and the channel matrix itself can also be determined as a byproduct. The problem is one of signal and noise subspaces and we show a convenient way of solving the deterministic maximum likelihood problem using a minimal linear parameterization of the noise subspace. This parameterization is found as a byproduct in the linear prediction problem. More... »

PAGES

435-446

Book

TITLE

Signal Processing in Telecommunications

ISBN

978-3-540-76019-1
978-1-4471-1013-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4471-1013-2_34

DOI

http://dx.doi.org/10.1007/978-1-4471-1013-2_34

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036399433


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/2008/10", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Technology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Mobile Communications Department, Institut EURECOM, 2229 route des Cr\u00eates, B.P. 193, 06904, Sophia Antipolis Cedex, France", 
          "id": "http://www.grid.ac/institutes/grid.28848.3e", 
          "name": [
            "Mobile Communications Department, Institut EURECOM, 2229 route des Cr\u00eates, B.P. 193, 06904, Sophia Antipolis Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Slock", 
        "givenName": "Dirk T. M.", 
        "id": "sg:person.015046645205.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015046645205.37"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1996", 
    "datePublishedReg": "1996-01-01", 
    "description": "We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m > p antennas receiving mixtures of these signals through multipath propagation (equivalently, oversampling of the received signals of a smaller number of antenna signals could be used). We consider conditions on the matrix channel response for the existence of a Zero-Forcing Equalizer (ZEE) (which cancels inter-symbol and inter-user interference). In the noisefree case, we show how a ZFE can be obtained from linear prediction and the channel matrix itself can also be determined as a byproduct. The problem is one of signal and noise subspaces and we show a convenient way of solving the deterministic maximum likelihood problem using a minimal linear parameterization of the noise subspace. This parameterization is found as a byproduct in the linear prediction problem.", 
    "editor": [
      {
        "familyName": "Biglieri", 
        "givenName": "Ezio", 
        "type": "Person"
      }, 
      {
        "familyName": "Luise", 
        "givenName": "Marco", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4471-1013-2_34", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-540-76019-1", 
        "978-1-4471-1013-2"
      ], 
      "name": "Signal Processing in Telecommunications", 
      "type": "Book"
    }, 
    "keywords": [
      "spatial division multiple access", 
      "division multiple access", 
      "same carrier frequency", 
      "Blind Joint Equalization", 
      "digital modulation formats", 
      "multiple access", 
      "modulation formats", 
      "channel matrix", 
      "mobile users", 
      "joint equalization", 
      "multipath propagation", 
      "multiple users", 
      "carrier frequency", 
      "channel response", 
      "noisefree case", 
      "antenna", 
      "equalizer", 
      "noise subspace", 
      "equalization", 
      "convenient way", 
      "signals", 
      "users", 
      "ZFE", 
      "byproducts", 
      "format", 
      "access", 
      "linear prediction", 
      "matrix", 
      "frequency", 
      "problem", 
      "mixture", 
      "propagation", 
      "maximum likelihood problem", 
      "linear prediction problem", 
      "way", 
      "conditions", 
      "likelihood problem", 
      "subspace", 
      "response", 
      "existence", 
      "linear parameterization", 
      "cases", 
      "parameterization", 
      "prediction", 
      "prediction problem"
    ], 
    "name": "Blind Joint Equalization of Multiple Synchronous Mobile Users for Spatial Division Multiple Access", 
    "pagination": "435-446", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036399433"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4471-1013-2_34"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4471-1013-2_34", 
      "https://app.dimensions.ai/details/publication/pub.1036399433"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:47", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_399.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-1-4471-1013-2_34"
  }
]
 

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.10.1007/978-1-4471-1013-2_34'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4471-1013-2_34'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4471-1013-2_34'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4471-1013-2_34'


 

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

110 TRIPLES      23 PREDICATES      71 URIs      64 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4471-1013-2_34 schema:about anzsrc-for:10
2 anzsrc-for:1005
3 schema:author N19e25957b9a74a438d62b9391b86c850
4 schema:datePublished 1996
5 schema:datePublishedReg 1996-01-01
6 schema:description We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m > p antennas receiving mixtures of these signals through multipath propagation (equivalently, oversampling of the received signals of a smaller number of antenna signals could be used). We consider conditions on the matrix channel response for the existence of a Zero-Forcing Equalizer (ZEE) (which cancels inter-symbol and inter-user interference). In the noisefree case, we show how a ZFE can be obtained from linear prediction and the channel matrix itself can also be determined as a byproduct. The problem is one of signal and noise subspaces and we show a convenient way of solving the deterministic maximum likelihood problem using a minimal linear parameterization of the noise subspace. This parameterization is found as a byproduct in the linear prediction problem.
7 schema:editor N502a5f7a473e4d5cbb0ee319573e35b7
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N2d38b8717f774d81a310219d8a7082ad
12 schema:keywords Blind Joint Equalization
13 ZFE
14 access
15 antenna
16 byproducts
17 carrier frequency
18 cases
19 channel matrix
20 channel response
21 conditions
22 convenient way
23 digital modulation formats
24 division multiple access
25 equalization
26 equalizer
27 existence
28 format
29 frequency
30 joint equalization
31 likelihood problem
32 linear parameterization
33 linear prediction
34 linear prediction problem
35 matrix
36 maximum likelihood problem
37 mixture
38 mobile users
39 modulation formats
40 multipath propagation
41 multiple access
42 multiple users
43 noise subspace
44 noisefree case
45 parameterization
46 prediction
47 prediction problem
48 problem
49 propagation
50 response
51 same carrier frequency
52 signals
53 spatial division multiple access
54 subspace
55 users
56 way
57 schema:name Blind Joint Equalization of Multiple Synchronous Mobile Users for Spatial Division Multiple Access
58 schema:pagination 435-446
59 schema:productId N5d0f3d41837d4fb7be4f22678c09ac2a
60 N6fbd061d902e497193344466a6cbc45c
61 schema:publisher N1106061cbe354f65977b6335b43b2558
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036399433
63 https://doi.org/10.1007/978-1-4471-1013-2_34
64 schema:sdDatePublished 2022-05-20T07:47
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher Ncd8158d9a5e843d98b52a42aec516109
67 schema:url https://doi.org/10.1007/978-1-4471-1013-2_34
68 sgo:license sg:explorer/license/
69 sgo:sdDataset chapters
70 rdf:type schema:Chapter
71 N1106061cbe354f65977b6335b43b2558 schema:name Springer Nature
72 rdf:type schema:Organisation
73 N19e25957b9a74a438d62b9391b86c850 rdf:first sg:person.015046645205.37
74 rdf:rest rdf:nil
75 N2d38b8717f774d81a310219d8a7082ad schema:isbn 978-1-4471-1013-2
76 978-3-540-76019-1
77 schema:name Signal Processing in Telecommunications
78 rdf:type schema:Book
79 N4c12736a46f94f659b6df91748c3a58b rdf:first Nb6a29fd533f74ab0b9beef6a40f8a9ba
80 rdf:rest rdf:nil
81 N502a5f7a473e4d5cbb0ee319573e35b7 rdf:first N739dcfcf304847959f3d93ce8e2e1b74
82 rdf:rest N4c12736a46f94f659b6df91748c3a58b
83 N5d0f3d41837d4fb7be4f22678c09ac2a schema:name dimensions_id
84 schema:value pub.1036399433
85 rdf:type schema:PropertyValue
86 N6fbd061d902e497193344466a6cbc45c schema:name doi
87 schema:value 10.1007/978-1-4471-1013-2_34
88 rdf:type schema:PropertyValue
89 N739dcfcf304847959f3d93ce8e2e1b74 schema:familyName Biglieri
90 schema:givenName Ezio
91 rdf:type schema:Person
92 Nb6a29fd533f74ab0b9beef6a40f8a9ba schema:familyName Luise
93 schema:givenName Marco
94 rdf:type schema:Person
95 Ncd8158d9a5e843d98b52a42aec516109 schema:name Springer Nature - SN SciGraph project
96 rdf:type schema:Organization
97 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
98 schema:name Technology
99 rdf:type schema:DefinedTerm
100 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
101 schema:name Communications Technologies
102 rdf:type schema:DefinedTerm
103 sg:person.015046645205.37 schema:affiliation grid-institutes:grid.28848.3e
104 schema:familyName Slock
105 schema:givenName Dirk T. M.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015046645205.37
107 rdf:type schema:Person
108 grid-institutes:grid.28848.3e schema:alternateName Mobile Communications Department, Institut EURECOM, 2229 route des Crêtes, B.P. 193, 06904, Sophia Antipolis Cedex, France
109 schema:name Mobile Communications Department, Institut EURECOM, 2229 route des Crêtes, B.P. 193, 06904, Sophia Antipolis Cedex, France
110 rdf:type schema:Organization
 




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


...