Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics

The Doppler-spread problem is commonly encountered in space target observation scenarios using ground-based radar when prolonged coherent integration techniques are utilized. Even when the translational motion is accurately compensated, the phase resulting from changes in the target observation atti...

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Main Authors: Linsheng Bu, Tuo Fu, Defeng Chen, Huawei Cao, Shuo Zhang, Jialiang Han
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/16/18/3413
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author Linsheng Bu
Tuo Fu
Defeng Chen
Huawei Cao
Shuo Zhang
Jialiang Han
author_facet Linsheng Bu
Tuo Fu
Defeng Chen
Huawei Cao
Shuo Zhang
Jialiang Han
author_sort Linsheng Bu
collection DOAJ
description The Doppler-spread problem is commonly encountered in space target observation scenarios using ground-based radar when prolonged coherent integration techniques are utilized. Even when the translational motion is accurately compensated, the phase resulting from changes in the target observation attitude (TOA) still leads to extension of the target’s echo energy across multiple Doppler cells. In particular, as the TOA change undergoes multiple cycles within a coherent processing interval (CPI), the Doppler spectrum spreads into equidistant sparse line spectra, posing a substantial challenge for target detection. Aiming to address such problems, we propose a generalized likelihood ratio test based on overlapping group shrinkage denoising and order statistics (OGSos-GLRT) in this study. First, the Doppler domain signal is denoised according to its equidistant sparse characteristics, allowing for the recovery of Doppler cells where line spectra may be situated. Then, several of the largest Doppler cells are integrated into the GLRT for detection. An analytical expression for the false alarm probability of the proposed detector is also derived. Additionally, a modified OGSos-GLRT method is proposed to make decisions based on an increasing estimated number of line spectra (ENLS), thus increasing the robustness of OGSos-GLRT when the ENLS mismatches the actual value. Finally, Monte Carlo simulations confirm the effectiveness of the proposed detector, even at low signal-to-noise ratios (SNRs).
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spelling doaj-art-c1dd02e6ebf84e94bac1a9ccc5e09ee22025-08-20T01:55:49ZengMDPI AGRemote Sensing2072-42922024-09-011618341310.3390/rs16183413Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order StatisticsLinsheng Bu0Tuo Fu1Defeng Chen2Huawei Cao3Shuo Zhang4Jialiang Han5School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaThe Doppler-spread problem is commonly encountered in space target observation scenarios using ground-based radar when prolonged coherent integration techniques are utilized. Even when the translational motion is accurately compensated, the phase resulting from changes in the target observation attitude (TOA) still leads to extension of the target’s echo energy across multiple Doppler cells. In particular, as the TOA change undergoes multiple cycles within a coherent processing interval (CPI), the Doppler spectrum spreads into equidistant sparse line spectra, posing a substantial challenge for target detection. Aiming to address such problems, we propose a generalized likelihood ratio test based on overlapping group shrinkage denoising and order statistics (OGSos-GLRT) in this study. First, the Doppler domain signal is denoised according to its equidistant sparse characteristics, allowing for the recovery of Doppler cells where line spectra may be situated. Then, several of the largest Doppler cells are integrated into the GLRT for detection. An analytical expression for the false alarm probability of the proposed detector is also derived. Additionally, a modified OGSos-GLRT method is proposed to make decisions based on an increasing estimated number of line spectra (ENLS), thus increasing the robustness of OGSos-GLRT when the ENLS mismatches the actual value. Finally, Monte Carlo simulations confirm the effectiveness of the proposed detector, even at low signal-to-noise ratios (SNRs).https://www.mdpi.com/2072-4292/16/18/3413Doppler-spread target detectionline spectraoverlapping group shrinkageorder statistics
spellingShingle Linsheng Bu
Tuo Fu
Defeng Chen
Huawei Cao
Shuo Zhang
Jialiang Han
Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
Remote Sensing
Doppler-spread target detection
line spectra
overlapping group shrinkage
order statistics
title Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
title_full Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
title_fullStr Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
title_full_unstemmed Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
title_short Doppler-Spread Space Target Detection Based on Overlapping Group Shrinkage and Order Statistics
title_sort doppler spread space target detection based on overlapping group shrinkage and order statistics
topic Doppler-spread target detection
line spectra
overlapping group shrinkage
order statistics
url https://www.mdpi.com/2072-4292/16/18/3413
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AT huaweicao dopplerspreadspacetargetdetectionbasedonoverlappinggroupshrinkageandorderstatistics
AT shuozhang dopplerspreadspacetargetdetectionbasedonoverlappinggroupshrinkageandorderstatistics
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