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Fast Acceleration and Velocity Estimation for Wideband Stretching LFM Radars Based on Mutual Bias Correction
Zhang, Yixiong1; Chen, Xiufang1; Xu, Huawei2; Zhang, Xiao-Ping3; Qi F(祁峰)4
Department光电信息技术研究室
Source PublicationIEEE SENSORS JOURNAL
ISSN1530-437X
2020
Volume20Issue:15Pages:8683-8697
Indexed BySCI ; EI
EI Accession number20203108992277
WOS IDWOS:000545717900054
Contribution Rank4
Funding OrganizationPrincipal Foundation of Xiamen UniversityXiamen University [20720180075] ; Natural Sciences and Engineering Research Council of Canada (NSERC)Natural Sciences and Engineering Research Council of Canada [RGPIN239031] ; Chongqing Research Program of Basic Research and Frontier Technology [cstc2016jcyjA0301] ; NSFC ProjectNational Natural Science Foundation of China [61405001] ; Venture & Innovation Support Program for Chongqing Overseas Returnees [cx2018121]
KeywordAcceleration Wideband Estimation Two dimensional displays Radar imaging LFM motion parameter estimation
Abstract

Linear frequency modulated (LFM) signal is widely used in wideband radars, where stretch processing is commonly adopted to reduce the processing bandwidth. In this paper, we propose a fast acceleration and velocity estimation method for wideband stretching LFM radars based on mutual bias correction. In this method, cross-correlation is carried out on adjacent stretched echoes to integrate scattering energy. By deriving the relationship between the two-dimensional (2D) spectrum of the cross-correlation result and the motion parameters, it is found that the frequency of the 2D spectrum peak is determined by the acceleration and the velocity. We first estimate a coarse acceleration using the frequency of the 2D spectrum peak on the slow time, and then construct a compensation function to estimate the coarse velocity. To obtain high precision estimation, we develop a mutual bias correction (MBC) process to reduce the bias of the coarse estimates. Experimental results show that the proposed method achieves much smaller root mean square error (RMSE) with comparable computational cost, compared to existing state-of-the-art methods.

Language英语
WOS SubjectEngineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS KeywordRADON-FOURIER TRANSFORM ; TARGET DETECTION ; PARAMETER-ESTIMATION ; ALGORITHM ; RANGE ; SNR
WOS Research AreaEngineering ; Instruments & Instrumentation ; Physics
Funding ProjectPrincipal Foundation of Xiamen University[20720180075] ; Natural Sciences and Engineering Research Council of Canada (NSERC)[RGPIN239031] ; Chongqing Research Program of Basic Research and Frontier Technology[cstc2016jcyjA0301] ; NSFC Project[61405001] ; Venture & Innovation Support Program for Chongqing Overseas Returnees[cx2018121]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/27336
Collection光电信息技术研究室
Corresponding AuthorZhang, Yixiong
Affiliation1.School of Informatics, Xiamen University, Xiamen 361005, China
2.Technology Center Department, NetEase, Inc., Hangzhou 310052, China
3.Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONM5B 2K3, Canada
4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
5.School of Informatics, Xiamen University, Xiamen 361005, China
6.Technology Center Department, NetEase, Inc., Hangzhou 310052, China
7.Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONM5B 2K3, Canada
8.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Zhang, Yixiong,Chen, Xiufang,Xu, Huawei,et al. Fast Acceleration and Velocity Estimation for Wideband Stretching LFM Radars Based on Mutual Bias Correction[J]. IEEE SENSORS JOURNAL,2020,20(15):8683-8697.
APA Zhang, Yixiong,Chen, Xiufang,Xu, Huawei,Zhang, Xiao-Ping,&Qi F.(2020).Fast Acceleration and Velocity Estimation for Wideband Stretching LFM Radars Based on Mutual Bias Correction.IEEE SENSORS JOURNAL,20(15),8683-8697.
MLA Zhang, Yixiong,et al."Fast Acceleration and Velocity Estimation for Wideband Stretching LFM Radars Based on Mutual Bias Correction".IEEE SENSORS JOURNAL 20.15(2020):8683-8697.
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