Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration

It is difficult for multichannel maneuvering synthetic aperture radar (SAR) to achieve ground moving target 2D velocity estimation and refocusing. In this paper, a novel method based on back projection (BP) and velocity SAR (VSAR) is proposed to cope with the issues. First, the static scene is recon...

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Main Authors: Xinxin Tang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Bokun Tian
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/17/3695
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spelling doaj-1d2b28f2cc2142bebacf9eedcdd2c86b2020-11-25T02:14:11ZengMDPI AGSensors1424-82202019-08-011917369510.3390/s19173695s19173695Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed AccelerationXinxin Tang0Xiaoling Zhang1Jun Shi2Shunjun Wei3Bokun Tian4School of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, ChinaIt is difficult for multichannel maneuvering synthetic aperture radar (SAR) to achieve ground moving target 2D velocity estimation and refocusing. In this paper, a novel method based on back projection (BP) and velocity SAR (VSAR) is proposed to cope with the issues. First, the static scene is reconstructed by BP to solve the imaging problem of multichannel maneuvering SAR. Then, the static clutter is suppressed, and the range velocity is estimated via VSAR processing. As for azimuth velocity estimation and refocusing, a velocity search method based on velocity-aided BP (VA-BP) and VSAR is proposed to accomplish them. First, each azimuth velocity in the search and the estimated range velocity are used to image the moving target in a small-sized subimage space by VA-BP, i.e., matching the range history and the Doppler phase of the moving target in the image processing. Then, multiple sets of multichannel SAR subimages corresponding to different azimuth velocities are generated, and the clutter of each set of multichannel SAR subimages is also suppressed by VSAR processing. After that, the azimuth velocity is estimated by searching the clutter-suppressed subimage of the first spatial receiving channel in each set of multichannel SAR subimages with the best refocusing quality measured by the minimum entropy. Simulation results show the proposed method can reach high accuracy in moving target 2D velocity estimation and refocusing with the absolute error of 2D velocity estimation smaller than 0.1 m/s.https://www.mdpi.com/1424-8220/19/17/3695multichannel maneuvering synthetic aperture radarground moving target2D velocity estimation and refocusingback projectionvelocity SARvelocity-aided BPminimum entropy
collection DOAJ
language English
format Article
sources DOAJ
author Xinxin Tang
Xiaoling Zhang
Jun Shi
Shunjun Wei
Bokun Tian
spellingShingle Xinxin Tang
Xiaoling Zhang
Jun Shi
Shunjun Wei
Bokun Tian
Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration
Sensors
multichannel maneuvering synthetic aperture radar
ground moving target
2D velocity estimation and refocusing
back projection
velocity SAR
velocity-aided BP
minimum entropy
author_facet Xinxin Tang
Xiaoling Zhang
Jun Shi
Shunjun Wei
Bokun Tian
author_sort Xinxin Tang
title Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration
title_short Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration
title_full Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration
title_fullStr Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration
title_full_unstemmed Ground Moving Target 2-D Velocity Estimation and Refocusing for Multichannel Maneuvering SAR with Fixed Acceleration
title_sort ground moving target 2-d velocity estimation and refocusing for multichannel maneuvering sar with fixed acceleration
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-08-01
description It is difficult for multichannel maneuvering synthetic aperture radar (SAR) to achieve ground moving target 2D velocity estimation and refocusing. In this paper, a novel method based on back projection (BP) and velocity SAR (VSAR) is proposed to cope with the issues. First, the static scene is reconstructed by BP to solve the imaging problem of multichannel maneuvering SAR. Then, the static clutter is suppressed, and the range velocity is estimated via VSAR processing. As for azimuth velocity estimation and refocusing, a velocity search method based on velocity-aided BP (VA-BP) and VSAR is proposed to accomplish them. First, each azimuth velocity in the search and the estimated range velocity are used to image the moving target in a small-sized subimage space by VA-BP, i.e., matching the range history and the Doppler phase of the moving target in the image processing. Then, multiple sets of multichannel SAR subimages corresponding to different azimuth velocities are generated, and the clutter of each set of multichannel SAR subimages is also suppressed by VSAR processing. After that, the azimuth velocity is estimated by searching the clutter-suppressed subimage of the first spatial receiving channel in each set of multichannel SAR subimages with the best refocusing quality measured by the minimum entropy. Simulation results show the proposed method can reach high accuracy in moving target 2D velocity estimation and refocusing with the absolute error of 2D velocity estimation smaller than 0.1 m/s.
topic multichannel maneuvering synthetic aperture radar
ground moving target
2D velocity estimation and refocusing
back projection
velocity SAR
velocity-aided BP
minimum entropy
url https://www.mdpi.com/1424-8220/19/17/3695
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AT xiaolingzhang groundmovingtarget2dvelocityestimationandrefocusingformultichannelmaneuveringsarwithfixedacceleration
AT junshi groundmovingtarget2dvelocityestimationandrefocusingformultichannelmaneuveringsarwithfixedacceleration
AT shunjunwei groundmovingtarget2dvelocityestimationandrefocusingformultichannelmaneuveringsarwithfixedacceleration
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