Robust Phase Bias Estimation Method for Azimuth Multi-Channel HRWS SAR System Based on Maximum Modified Kurtosis

The azimuth multi-channel synthetic aperture radar (MC-SAR) systems can simultaneously realize high-resolution and wide-swath (HRWS) earth observations. However, channel phase bias inevitably exists in the practical work of the azimuth MC-SAR system, which is the main factor for the “virtual target”...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronics (Basel) 2022-11, Vol.11 (22), p.3821
Hauptverfasser: Pan, Xingbo, Zhang, Hanqing, Shu, Gaofeng
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 22
container_start_page 3821
container_title Electronics (Basel)
container_volume 11
creator Pan, Xingbo
Zhang, Hanqing
Shu, Gaofeng
description The azimuth multi-channel synthetic aperture radar (MC-SAR) systems can simultaneously realize high-resolution and wide-swath (HRWS) earth observations. However, channel phase bias inevitably exists in the practical work of the azimuth MC-SAR system, which is the main factor for the “virtual target” in SAR images. To accurately estimate the phase bias, a channel phase bias estimation approach based on modified kurtosis maximization (MMK) is proposed in this paper. By analyzing the echo characteristics of multi-channel SAR, the proposed approach constructs the objective optimization function of MMK of the reconstructed Doppler spectrum (RDS), and the channel phase bias can be accurately estimated. Simulation experiments and real raw data processing verify the effectiveness and robustness of the proposed approach, which is not limited by the scene and has a good estimation performance at a low signal-to-noise ratio (SNR).
doi_str_mv 10.3390/electronics11223821
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2739420950</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A745598187</galeid><sourcerecordid>A745598187</sourcerecordid><originalsourceid>FETCH-LOGICAL-c361t-cb4528b61fcc9c2d34bfb63ded34b6be30a3bbb638a86d23e4afcd318f728183</originalsourceid><addsrcrecordid>eNptUU1LAzEQXUTBov0FXgKet-ZjP5JjW6oVW5S24HHJ5sNN2d3UJAvWX29KPXhw5jCPx3tvYCZJ7hCcEMLgg2qVCM72RniEMCYUo4tkhGHJUoYZvvyDr5Ox93sYiyFCCRwlh42tBx_AW8O9AjPDPVj4YDoejO3BWoXGSqCtA9Nv0w2hAeuhDSadN7zvVQuWm_ct2E43YHv0QXVgFlMkODn5V9R3YG2l0SZyL4ML1ht_m1xp3no1_p03ye5xsZsv09Xr0_N8ukoFKVBIRZ3lmNYF0kIwgSXJal0XRKoTKmpFICd1HRnKaSExURnXQhJEdYkpouQmuT_HHpz9HJQP1d4Oro8bK1wSlmHIchhVk7Pqg7eqMr22wXERW6rOCNsrbSI_LbM8ZzG1jAZyNghnvXdKVwcXj-WOFYLV6RvVP98gP6USgOA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2739420950</pqid></control><display><type>article</type><title>Robust Phase Bias Estimation Method for Azimuth Multi-Channel HRWS SAR System Based on Maximum Modified Kurtosis</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Pan, Xingbo ; Zhang, Hanqing ; Shu, Gaofeng</creator><creatorcontrib>Pan, Xingbo ; Zhang, Hanqing ; Shu, Gaofeng</creatorcontrib><description>The azimuth multi-channel synthetic aperture radar (MC-SAR) systems can simultaneously realize high-resolution and wide-swath (HRWS) earth observations. However, channel phase bias inevitably exists in the practical work of the azimuth MC-SAR system, which is the main factor for the “virtual target” in SAR images. To accurately estimate the phase bias, a channel phase bias estimation approach based on modified kurtosis maximization (MMK) is proposed in this paper. By analyzing the echo characteristics of multi-channel SAR, the proposed approach constructs the objective optimization function of MMK of the reconstructed Doppler spectrum (RDS), and the channel phase bias can be accurately estimated. Simulation experiments and real raw data processing verify the effectiveness and robustness of the proposed approach, which is not limited by the scene and has a good estimation performance at a low signal-to-noise ratio (SNR).</description><identifier>ISSN: 2079-9292</identifier><identifier>EISSN: 2079-9292</identifier><identifier>DOI: 10.3390/electronics11223821</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Ambiguity ; Artificial satellites in remote sensing ; Azimuth ; Bias ; Data processing ; Kurtosis ; Methods ; Optimization ; Random variables ; Signal processing ; Signal to noise ratio ; Synthetic aperture radar</subject><ispartof>Electronics (Basel), 2022-11, Vol.11 (22), p.3821</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-cb4528b61fcc9c2d34bfb63ded34b6be30a3bbb638a86d23e4afcd318f728183</citedby><cites>FETCH-LOGICAL-c361t-cb4528b61fcc9c2d34bfb63ded34b6be30a3bbb638a86d23e4afcd318f728183</cites><orcidid>0000-0002-7098-7029</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Pan, Xingbo</creatorcontrib><creatorcontrib>Zhang, Hanqing</creatorcontrib><creatorcontrib>Shu, Gaofeng</creatorcontrib><title>Robust Phase Bias Estimation Method for Azimuth Multi-Channel HRWS SAR System Based on Maximum Modified Kurtosis</title><title>Electronics (Basel)</title><description>The azimuth multi-channel synthetic aperture radar (MC-SAR) systems can simultaneously realize high-resolution and wide-swath (HRWS) earth observations. However, channel phase bias inevitably exists in the practical work of the azimuth MC-SAR system, which is the main factor for the “virtual target” in SAR images. To accurately estimate the phase bias, a channel phase bias estimation approach based on modified kurtosis maximization (MMK) is proposed in this paper. By analyzing the echo characteristics of multi-channel SAR, the proposed approach constructs the objective optimization function of MMK of the reconstructed Doppler spectrum (RDS), and the channel phase bias can be accurately estimated. Simulation experiments and real raw data processing verify the effectiveness and robustness of the proposed approach, which is not limited by the scene and has a good estimation performance at a low signal-to-noise ratio (SNR).</description><subject>Algorithms</subject><subject>Ambiguity</subject><subject>Artificial satellites in remote sensing</subject><subject>Azimuth</subject><subject>Bias</subject><subject>Data processing</subject><subject>Kurtosis</subject><subject>Methods</subject><subject>Optimization</subject><subject>Random variables</subject><subject>Signal processing</subject><subject>Signal to noise ratio</subject><subject>Synthetic aperture radar</subject><issn>2079-9292</issn><issn>2079-9292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptUU1LAzEQXUTBov0FXgKet-ZjP5JjW6oVW5S24HHJ5sNN2d3UJAvWX29KPXhw5jCPx3tvYCZJ7hCcEMLgg2qVCM72RniEMCYUo4tkhGHJUoYZvvyDr5Ox93sYiyFCCRwlh42tBx_AW8O9AjPDPVj4YDoejO3BWoXGSqCtA9Nv0w2hAeuhDSadN7zvVQuWm_ct2E43YHv0QXVgFlMkODn5V9R3YG2l0SZyL4ML1ht_m1xp3no1_p03ye5xsZsv09Xr0_N8ukoFKVBIRZ3lmNYF0kIwgSXJal0XRKoTKmpFICd1HRnKaSExURnXQhJEdYkpouQmuT_HHpz9HJQP1d4Oro8bK1wSlmHIchhVk7Pqg7eqMr22wXERW6rOCNsrbSI_LbM8ZzG1jAZyNghnvXdKVwcXj-WOFYLV6RvVP98gP6USgOA</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Pan, Xingbo</creator><creator>Zhang, Hanqing</creator><creator>Shu, Gaofeng</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-7098-7029</orcidid></search><sort><creationdate>20221101</creationdate><title>Robust Phase Bias Estimation Method for Azimuth Multi-Channel HRWS SAR System Based on Maximum Modified Kurtosis</title><author>Pan, Xingbo ; Zhang, Hanqing ; Shu, Gaofeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-cb4528b61fcc9c2d34bfb63ded34b6be30a3bbb638a86d23e4afcd318f728183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Ambiguity</topic><topic>Artificial satellites in remote sensing</topic><topic>Azimuth</topic><topic>Bias</topic><topic>Data processing</topic><topic>Kurtosis</topic><topic>Methods</topic><topic>Optimization</topic><topic>Random variables</topic><topic>Signal processing</topic><topic>Signal to noise ratio</topic><topic>Synthetic aperture radar</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pan, Xingbo</creatorcontrib><creatorcontrib>Zhang, Hanqing</creatorcontrib><creatorcontrib>Shu, Gaofeng</creatorcontrib><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Electronics (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pan, Xingbo</au><au>Zhang, Hanqing</au><au>Shu, Gaofeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Phase Bias Estimation Method for Azimuth Multi-Channel HRWS SAR System Based on Maximum Modified Kurtosis</atitle><jtitle>Electronics (Basel)</jtitle><date>2022-11-01</date><risdate>2022</risdate><volume>11</volume><issue>22</issue><spage>3821</spage><pages>3821-</pages><issn>2079-9292</issn><eissn>2079-9292</eissn><abstract>The azimuth multi-channel synthetic aperture radar (MC-SAR) systems can simultaneously realize high-resolution and wide-swath (HRWS) earth observations. However, channel phase bias inevitably exists in the practical work of the azimuth MC-SAR system, which is the main factor for the “virtual target” in SAR images. To accurately estimate the phase bias, a channel phase bias estimation approach based on modified kurtosis maximization (MMK) is proposed in this paper. By analyzing the echo characteristics of multi-channel SAR, the proposed approach constructs the objective optimization function of MMK of the reconstructed Doppler spectrum (RDS), and the channel phase bias can be accurately estimated. Simulation experiments and real raw data processing verify the effectiveness and robustness of the proposed approach, which is not limited by the scene and has a good estimation performance at a low signal-to-noise ratio (SNR).</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/electronics11223821</doi><orcidid>https://orcid.org/0000-0002-7098-7029</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2079-9292
ispartof Electronics (Basel), 2022-11, Vol.11 (22), p.3821
issn 2079-9292
2079-9292
language eng
recordid cdi_proquest_journals_2739420950
source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Algorithms
Ambiguity
Artificial satellites in remote sensing
Azimuth
Bias
Data processing
Kurtosis
Methods
Optimization
Random variables
Signal processing
Signal to noise ratio
Synthetic aperture radar
title Robust Phase Bias Estimation Method for Azimuth Multi-Channel HRWS SAR System Based on Maximum Modified Kurtosis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T23%3A38%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robust%20Phase%20Bias%20Estimation%20Method%20for%20Azimuth%20Multi-Channel%20HRWS%20SAR%20System%20Based%20on%20Maximum%20Modified%20Kurtosis&rft.jtitle=Electronics%20(Basel)&rft.au=Pan,%20Xingbo&rft.date=2022-11-01&rft.volume=11&rft.issue=22&rft.spage=3821&rft.pages=3821-&rft.issn=2079-9292&rft.eissn=2079-9292&rft_id=info:doi/10.3390/electronics11223821&rft_dat=%3Cgale_proqu%3EA745598187%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2739420950&rft_id=info:pmid/&rft_galeid=A745598187&rfr_iscdi=true