Acoustooptical Spectral Processing of Radar Signals Taking into Account the Signal Spectra of Local Heterodyne and Optical Radiation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-11

AUTHORS

A. A. Merkin, T. T. Sultanov, V. A. Zubov

ABSTRACT

We describe the formation of a radio signal designed for acoustooptical processing based on the radar signal analyzed which is characterized by a spectrum, a heterodyne signal with a spectrum of known structure, and a mixer. The signal formed fits the working frequency of the acoustooptical cell. In the cell, the signal produces a traveling acoustic wave due to propagating inhomogeneities of the dielectric constant or refractive index. Within the framework of physical optics, we consider how the acoustooptical cell used for processing the signal works in the regime of the Raman–Nath diffraction. The cell is illuminated by quasimonochromatic radiation of known arbitrary spatial and spectrum structures. One works in the first and higher diffraction orders. Using an original method proposed earlier, we analyze the functioning of the acoustooptical cell in the Bragg diffraction regime at small radiation transformation coefficients. The description is done for a probing signal of known spatial and spectrum structures. The method of acoustooptical analysis of the spectrum structure of a radio signal or radar signal is considered under the decreased influence of the spectra of the probing optical radiation and heterodyne signal. The effect of the spectrum structure of the probing radiation used when processing the radio signal which propagates within the acoustooptical cell is studied in complete analogy with taking into account the exciting radiation spectrum in spectroscopy. For signals with a low level of noise, we use the method based on the Fourier transformation of the intensity distribution registered and on that of the intensity distribution of the initial probing radiation spectrum. Effects of the width and spectrum structure of the heterodyne can also be taken into account similar to the method of excluding the spread function used in investigating spectrograms. The processing uses Fourier transforms of the registered spectrum intensity distribution and of the known spectrum intensity distribution of the heterodyne signal. More... »

PAGES

561-583

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1012966317015

DOI

http://dx.doi.org/10.1023/a:1012966317015

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052643240


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/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.425806.d", 
          "name": [
            "Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Merkin", 
        "givenName": "A. A.", 
        "id": "sg:person.016340465555.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016340465555.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.425806.d", 
          "name": [
            "Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sultanov", 
        "givenName": "T. T.", 
        "id": "sg:person.014226050506.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014226050506.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.425806.d", 
          "name": [
            "Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zubov", 
        "givenName": "V. A.", 
        "id": "sg:person.013653363167.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013653363167.80"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02558696", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009885638", 
          "https://doi.org/10.1007/bf02558696"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2001-11", 
    "datePublishedReg": "2001-11-01", 
    "description": "We describe the formation of a radio signal designed for acoustooptical processing based on the radar signal analyzed which is characterized by a spectrum, a heterodyne signal with a spectrum of known structure, and a mixer. The signal formed fits the working frequency of the acoustooptical cell. In the cell, the signal produces a traveling acoustic wave due to propagating inhomogeneities of the dielectric constant or refractive index. Within the framework of physical optics, we consider how the acoustooptical cell used for processing the signal works in the regime of the Raman\u2013Nath diffraction. The cell is illuminated by quasimonochromatic radiation of known arbitrary spatial and spectrum structures. One works in the first and higher diffraction orders. Using an original method proposed earlier, we analyze the functioning of the acoustooptical cell in the Bragg diffraction regime at small radiation transformation coefficients. The description is done for a probing signal of known spatial and spectrum structures. The method of acoustooptical analysis of the spectrum structure of a radio signal or radar signal is considered under the decreased influence of the spectra of the probing optical radiation and heterodyne signal. The effect of the spectrum structure of the probing radiation used when processing the radio signal which propagates within the acoustooptical cell is studied in complete analogy with taking into account the exciting radiation spectrum in spectroscopy. For signals with a low level of noise, we use the method based on the Fourier transformation of the intensity distribution registered and on that of the intensity distribution of the initial probing radiation spectrum. Effects of the width and spectrum structure of the heterodyne can also be taken into account similar to the method of excluding the spread function used in investigating spectrograms. The processing uses Fourier transforms of the registered spectrum intensity distribution and of the known spectrum intensity distribution of the heterodyne signal.", 
    "genre": "article", 
    "id": "sg:pub.10.1023/a:1012966317015", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1091852", 
        "issn": [
          "0270-2010", 
          "1071-2836"
        ], 
        "name": "Journal of Russian Laser Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "keywords": [
      "heterodyne signal", 
      "acoustooptical cell", 
      "optical radiation", 
      "spectrum structure", 
      "radiation spectrum", 
      "intensity distribution", 
      "radio signals", 
      "Raman-Nath diffraction", 
      "Bragg diffraction regime", 
      "higher diffraction orders", 
      "radar signals", 
      "quasimonochromatic radiation", 
      "refractive index", 
      "diffraction regime", 
      "acoustic waves", 
      "diffraction orders", 
      "physical optics", 
      "radiation", 
      "complete analogy", 
      "heterodyne", 
      "spread function", 
      "spectra", 
      "signal works", 
      "Fourier transformation", 
      "Fourier transform", 
      "optics", 
      "signal spectrum", 
      "spectral processing", 
      "regime", 
      "spectroscopy", 
      "transformation coefficients", 
      "structure", 
      "diffraction", 
      "waves", 
      "inhomogeneity", 
      "dielectric", 
      "signals", 
      "propagates", 
      "processing", 
      "width", 
      "decreased influence", 
      "distribution", 
      "mixer", 
      "spectrogram", 
      "original method", 
      "account", 
      "method", 
      "analogy", 
      "noise", 
      "coefficient", 
      "frequency", 
      "transform", 
      "formation", 
      "description", 
      "influence", 
      "effect", 
      "work", 
      "order", 
      "function", 
      "transformation", 
      "index", 
      "analysis", 
      "framework", 
      "cells", 
      "levels", 
      "low levels", 
      "functioning", 
      "acoustooptical processing", 
      "small radiation transformation coefficients", 
      "radiation transformation coefficients", 
      "acoustooptical analysis", 
      "exciting radiation spectrum", 
      "initial probing radiation spectrum", 
      "probing radiation spectrum", 
      "spectrum intensity distribution", 
      "Acoustooptical Spectral Processing", 
      "Local Heterodyne"
    ], 
    "name": "Acoustooptical Spectral Processing of Radar Signals Taking into Account the Signal Spectra of Local Heterodyne and Optical Radiation", 
    "pagination": "561-583", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052643240"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1012966317015"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1012966317015", 
      "https://app.dimensions.ai/details/publication/pub.1052643240"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_338.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1023/a:1012966317015"
  }
]
 

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.10.1023/a:1012966317015'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1012966317015'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1012966317015'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1012966317015'


 

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

153 TRIPLES      22 PREDICATES      104 URIs      95 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1012966317015 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Nde650eb702e34597bd475e39c46cc3f4
4 schema:citation sg:pub.10.1007/bf02558696
5 schema:datePublished 2001-11
6 schema:datePublishedReg 2001-11-01
7 schema:description We describe the formation of a radio signal designed for acoustooptical processing based on the radar signal analyzed which is characterized by a spectrum, a heterodyne signal with a spectrum of known structure, and a mixer. The signal formed fits the working frequency of the acoustooptical cell. In the cell, the signal produces a traveling acoustic wave due to propagating inhomogeneities of the dielectric constant or refractive index. Within the framework of physical optics, we consider how the acoustooptical cell used for processing the signal works in the regime of the Raman–Nath diffraction. The cell is illuminated by quasimonochromatic radiation of known arbitrary spatial and spectrum structures. One works in the first and higher diffraction orders. Using an original method proposed earlier, we analyze the functioning of the acoustooptical cell in the Bragg diffraction regime at small radiation transformation coefficients. The description is done for a probing signal of known spatial and spectrum structures. The method of acoustooptical analysis of the spectrum structure of a radio signal or radar signal is considered under the decreased influence of the spectra of the probing optical radiation and heterodyne signal. The effect of the spectrum structure of the probing radiation used when processing the radio signal which propagates within the acoustooptical cell is studied in complete analogy with taking into account the exciting radiation spectrum in spectroscopy. For signals with a low level of noise, we use the method based on the Fourier transformation of the intensity distribution registered and on that of the intensity distribution of the initial probing radiation spectrum. Effects of the width and spectrum structure of the heterodyne can also be taken into account similar to the method of excluding the spread function used in investigating spectrograms. The processing uses Fourier transforms of the registered spectrum intensity distribution and of the known spectrum intensity distribution of the heterodyne signal.
8 schema:genre article
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N2f35e1ec8551493594d2810b37f09334
12 Nfdbc1c64b8bd4ac4b09c6ea4d7036065
13 sg:journal.1091852
14 schema:keywords Acoustooptical Spectral Processing
15 Bragg diffraction regime
16 Fourier transform
17 Fourier transformation
18 Local Heterodyne
19 Raman-Nath diffraction
20 account
21 acoustic waves
22 acoustooptical analysis
23 acoustooptical cell
24 acoustooptical processing
25 analogy
26 analysis
27 cells
28 coefficient
29 complete analogy
30 decreased influence
31 description
32 dielectric
33 diffraction
34 diffraction orders
35 diffraction regime
36 distribution
37 effect
38 exciting radiation spectrum
39 formation
40 framework
41 frequency
42 function
43 functioning
44 heterodyne
45 heterodyne signal
46 higher diffraction orders
47 index
48 influence
49 inhomogeneity
50 initial probing radiation spectrum
51 intensity distribution
52 levels
53 low levels
54 method
55 mixer
56 noise
57 optical radiation
58 optics
59 order
60 original method
61 physical optics
62 probing radiation spectrum
63 processing
64 propagates
65 quasimonochromatic radiation
66 radar signals
67 radiation
68 radiation spectrum
69 radiation transformation coefficients
70 radio signals
71 refractive index
72 regime
73 signal spectrum
74 signal works
75 signals
76 small radiation transformation coefficients
77 spectra
78 spectral processing
79 spectrogram
80 spectroscopy
81 spectrum intensity distribution
82 spectrum structure
83 spread function
84 structure
85 transform
86 transformation
87 transformation coefficients
88 waves
89 width
90 work
91 schema:name Acoustooptical Spectral Processing of Radar Signals Taking into Account the Signal Spectra of Local Heterodyne and Optical Radiation
92 schema:pagination 561-583
93 schema:productId N26ce33c9198343bea8b017959f355332
94 Nc31b4e06de5545c2bdca89cdd510667f
95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052643240
96 https://doi.org/10.1023/a:1012966317015
97 schema:sdDatePublished 2021-12-01T19:12
98 schema:sdLicense https://scigraph.springernature.com/explorer/license/
99 schema:sdPublisher Nbb1bf4d69cd6411ab58bf5b6fc496d02
100 schema:url https://doi.org/10.1023/a:1012966317015
101 sgo:license sg:explorer/license/
102 sgo:sdDataset articles
103 rdf:type schema:ScholarlyArticle
104 N26a33a9c367d4af1b2650f25042e655f rdf:first sg:person.013653363167.80
105 rdf:rest rdf:nil
106 N26ce33c9198343bea8b017959f355332 schema:name dimensions_id
107 schema:value pub.1052643240
108 rdf:type schema:PropertyValue
109 N2f35e1ec8551493594d2810b37f09334 schema:volumeNumber 22
110 rdf:type schema:PublicationVolume
111 Nbb1bf4d69cd6411ab58bf5b6fc496d02 schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Nc31b4e06de5545c2bdca89cdd510667f schema:name doi
114 schema:value 10.1023/a:1012966317015
115 rdf:type schema:PropertyValue
116 Ndc8bb8c5e52f46ec9d8520ca728f3dcb rdf:first sg:person.014226050506.53
117 rdf:rest N26a33a9c367d4af1b2650f25042e655f
118 Nde650eb702e34597bd475e39c46cc3f4 rdf:first sg:person.016340465555.29
119 rdf:rest Ndc8bb8c5e52f46ec9d8520ca728f3dcb
120 Nfdbc1c64b8bd4ac4b09c6ea4d7036065 schema:issueNumber 6
121 rdf:type schema:PublicationIssue
122 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
123 schema:name Physical Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
126 schema:name Other Physical Sciences
127 rdf:type schema:DefinedTerm
128 sg:journal.1091852 schema:issn 0270-2010
129 1071-2836
130 schema:name Journal of Russian Laser Research
131 schema:publisher Springer Nature
132 rdf:type schema:Periodical
133 sg:person.013653363167.80 schema:affiliation grid-institutes:grid.425806.d
134 schema:familyName Zubov
135 schema:givenName V. A.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013653363167.80
137 rdf:type schema:Person
138 sg:person.014226050506.53 schema:affiliation grid-institutes:grid.425806.d
139 schema:familyName Sultanov
140 schema:givenName T. T.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014226050506.53
142 rdf:type schema:Person
143 sg:person.016340465555.29 schema:affiliation grid-institutes:grid.425806.d
144 schema:familyName Merkin
145 schema:givenName A. A.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016340465555.29
147 rdf:type schema:Person
148 sg:pub.10.1007/bf02558696 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009885638
149 https://doi.org/10.1007/bf02558696
150 rdf:type schema:CreativeWork
151 grid-institutes:grid.425806.d schema:alternateName Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia
152 schema:name Russian Academy of Sciences, P. N. Lebedev Physical Institute, Leninskii Pr. 53, 119991, Moscow, Russia
153 rdf:type schema:Organization
 




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


...