IRCI‐free multiple subband MIMO SAR

Abstract An inter‐range cell interference (IRCI)‐free multiple subband multiple‐input multiple‐output (MIMO) synthetic aperture radar (SAR) algorithm is proposed to obtain a high‐resolution wide swath (HRWS) imaging. The received signals of the proposed configuration are formulated as multiple‐input...

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Main Authors: Mohammed AlShaya, Mehrdad Yaghoobi, Bernard Mulgrew
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:IET Radar, Sonar & Navigation
Online Access:https://doi.org/10.1049/rsn2.12057
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spelling doaj-dbb17a9ac0a7468ea224d3c3e6a368df2021-08-02T08:30:41ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-07-0115768669610.1049/rsn2.12057IRCI‐free multiple subband MIMO SARMohammed AlShaya0Mehrdad Yaghoobi1Bernard Mulgrew2Institute for Digital Communications University of Edinburgh Edinburgh UKInstitute for Digital Communications University of Edinburgh Edinburgh UKInstitute for Digital Communications University of Edinburgh Edinburgh UKAbstract An inter‐range cell interference (IRCI)‐free multiple subband multiple‐input multiple‐output (MIMO) synthetic aperture radar (SAR) algorithm is proposed to obtain a high‐resolution wide swath (HRWS) imaging. The received signals of the proposed configuration are formulated as multiple‐input single‐output (MISO) system identification problems using the principle of the displaced phase centre in a way that all the subband waveforms are processed simultaneously without the need to separate them at the receiver. This would maximise the bandwidth utilisation efficiency. The channel impulse response in the range dimension is identified using a frequency domain system identification‐‐based estimation algorithm, which is free from IRCI, instead of using conventional matched filters. A pulse repetition frequency lower than the Doppler bandwidth is used to obtain the HRWS imaging, and the resulted azimuth ambiguity is removed using a set of spatial filters applied on the received signals formulated as separate MISO system identification problems. Finally, both simulated and constructed raw data are used to validate the efficiency of the proposed algorithm.https://doi.org/10.1049/rsn2.12057
collection DOAJ
language English
format Article
sources DOAJ
author Mohammed AlShaya
Mehrdad Yaghoobi
Bernard Mulgrew
spellingShingle Mohammed AlShaya
Mehrdad Yaghoobi
Bernard Mulgrew
IRCI‐free multiple subband MIMO SAR
IET Radar, Sonar & Navigation
author_facet Mohammed AlShaya
Mehrdad Yaghoobi
Bernard Mulgrew
author_sort Mohammed AlShaya
title IRCI‐free multiple subband MIMO SAR
title_short IRCI‐free multiple subband MIMO SAR
title_full IRCI‐free multiple subband MIMO SAR
title_fullStr IRCI‐free multiple subband MIMO SAR
title_full_unstemmed IRCI‐free multiple subband MIMO SAR
title_sort irci‐free multiple subband mimo sar
publisher Wiley
series IET Radar, Sonar & Navigation
issn 1751-8784
1751-8792
publishDate 2021-07-01
description Abstract An inter‐range cell interference (IRCI)‐free multiple subband multiple‐input multiple‐output (MIMO) synthetic aperture radar (SAR) algorithm is proposed to obtain a high‐resolution wide swath (HRWS) imaging. The received signals of the proposed configuration are formulated as multiple‐input single‐output (MISO) system identification problems using the principle of the displaced phase centre in a way that all the subband waveforms are processed simultaneously without the need to separate them at the receiver. This would maximise the bandwidth utilisation efficiency. The channel impulse response in the range dimension is identified using a frequency domain system identification‐‐based estimation algorithm, which is free from IRCI, instead of using conventional matched filters. A pulse repetition frequency lower than the Doppler bandwidth is used to obtain the HRWS imaging, and the resulted azimuth ambiguity is removed using a set of spatial filters applied on the received signals formulated as separate MISO system identification problems. Finally, both simulated and constructed raw data are used to validate the efficiency of the proposed algorithm.
url https://doi.org/10.1049/rsn2.12057
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AT mehrdadyaghoobi ircifreemultiplesubbandmimosar
AT bernardmulgrew ircifreemultiplesubbandmimosar
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