Resolving Multiple Targets with Micro-motions Based on Time-frequency feature with Low-resolution Radar

Huang  Xiao-Hong; He  Xia; Xin Yu-Lin; Chen  Zeng-Ping

doi:10.3724/SP.J.1146.2009.0314

Volume 32 Issue 10

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2010 > 32(10): 2342-2347

Huang Xiao-Hong, He Xia, Xin Yu-Lin, Chen Zeng-Ping. Resolving Multiple Targets with Micro-motions Based on Time-frequency feature with Low-resolution Radar[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2342-2347. doi: 10.3724/SP.J.1146.2009.0314

Citation:

Huang Xiao-Hong, He Xia, Xin Yu-Lin, Chen Zeng-Ping. Resolving Multiple Targets with Micro-motions Based on Time-frequency feature with Low-resolution Radar[J]. Journal of Electronics & Information Technology, 2010, 32(10): 2342-2347. doi: 10.3724/SP.J.1146.2009.0314

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Resolving Multiple Targets with Micro-motions Based on Time-frequency feature with Low-resolution Radar

doi: 10.3724/SP.J.1146.2009.0314

Received Date: 2009-10-09
Rev Recd Date: 2010-05-13
Publish Date: 2010-10-19

Abstract

Abstract

Resolving multiple targets in one beam is important to low-resolution radar. A method to resolving multiple targets is proposed using time-frequency transform based on the defference of targets micro-doppler. Adaptive chirplet transform is used to remove across item of signals, the main frequency of each target is got using adaptive chirplet transform, since the main frequency is linear, hough transform is used to detect the numbers of lines, then the numbers of multiple targets in one beam is got. Simulation experiments show that this method can effectively estimate the numbers of multiple targets.
- Radar target resolving,
- Adaptive chirplet transform,
- Micro-Doppler

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[1] 王伟, 张汉华, 姜卫东等. 低分辨雷达的目标特征提取方法.国防科技大学学报, 2002, 24(2): 31-35. Wang Wei, Zhang Han-hua, and Jiang Wei-dong, et al.. The study of target feature extracting method based on low-resolution radar. Journal of National University of Defense Technology, 2002, 24(2): 31-35. [2] 赵学云, 刘峥. 基于Radon-WVD变换的编队目标架次识别[J].电子与信息学报.2007, 29(3):544-548浏览 Zhao Xue-yun and Liu Zheng. Target number detection based on radon-WVD transform[J].Journal of Electronics Information Technology.2007, 29(3):544-548 [3] 杜兰, 刘宏伟, 保铮. 一种基于距离-多普勒二维联合的群目标分辨方法[J].电子学报.2004, 32(6):881-885 Du Lan, Liu Hong-wei, and Bao Zheng. Araid cluster resolution scheme based on join range-doppler processing. Acta Electronica Sinica, 2004, 32(6): 881-885. [4] Chen V C, Li F Y, and Ho S S. Micro-doppler effect in radar- phenomenon, model and simulation study[J].IEEE Transactions on Aerospace and Electronic System.2006, 42(1):2-21 [5] 高红卫, 文树梁. 微多普勒理论建模与仿真研究[J].中国电子科学研究院学报.2008, 3(1):34-39 Gao Hong-wei and Wen Shu-liang. Micro-Doppler theory modeling and simulating research. Journal of CAEIT, 2008, 3(1): 34-39. [6] 陈行勇, 刘永祥, 黎湘等. 雷达目标微多普勒特征提取[J].信号处理.2007, 23(2):222-226 Chen Hang-yong, Liu Yong-xiang, and Li Xiang, et al.. Extraction of micro-doppler signatures for radar target. Signal Processing, 2007, 23(2): 222-226. [7] 罗迎, 池龙, 张群等. 用慢时间域积分法实现雷达目标微多普勒信息的提取[J].电子与信息学报.2008, 30(9):2055-2059浏览 Luo Ying, Chi Long, and Zhang Qun, et al.. Extraction of micro-doppler information based on slow-time integration[J].Journal of Electronics Information Technology.2008, 30(9):2055-2059 [8] 孙照强, 鲁耀兵, 李宝柱等. 宽带信号及其特征的微多普勒提取技术研究[J]. 系统工程与电子技术, 2008, 30(11): 2040-2044. Sun Zhao-qiang, Lu Yao-bing, and Li Bao-zhu, et al.. Research on extraction technology of micro-doppler of wideband signal and its properties. Systems Engineering and Electronics, 2008, 30(11): 2040-2044. [9] 苏婷婷, 孔令讲, 杨建宇. 基于多谐波微多普勒信号分析的目标摄动参数提取方法[J].电子与信息学报.2008, 30(11):2646-2649浏览 Su Ting-ting, Kong Ling-jiang, and Yang Jian-yu. Target parameters extracted from multi-harmonic micro-doppler signal analysis[J].Journal of Electronics Information Technology.2008, 30(11):2646-2649 [10] 胡航, 李绍滨, 杨秀萍. 基于高效时频分析的多LFM信号源的DOA估计[J]. 系统工程与电子技术, 2009, 31(3): 534-537. Hu Hang, Li Shao-bin, and Yang Xiu-ping. DOA estimation based on high efficient time-frequency analysis for multiple LFM signal sources. Systems Engineering and Electronics, 2009, 31(3): 534-537. [11] Satzoda R K and Suchitra S. Paralleling the hough transform computation[J].IEEE signal Processing Letters.2008, 15:297-300 [12] 王勇, 姜义成. 基于自适应Chirplet分解的舰船目标ISAR成像[J].电子与信息学报.2006, 28(6):982-984浏览 Wang Yong and Jiang Yi-cheng. The ISAR imaging of ship based on adaptive chirplet decomposition[J].Journal of Electronics Information Technology.2006, 28(6):982-984

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