基于MIMO噪声雷达的高速运动目标检测

陈金立; 顾红; 苏卫民

doi:10.3724/SP.J.1146.2009.00839

基于MIMO噪声雷达的高速运动目标检测

doi: 10.3724/SP.J.1146.2009.00839

计量
- 文章访问数: 3674
- HTML全文浏览量: 79
- PDF下载量: 847
- 被引次数: 0
出版历程
- 收稿日期: 2009-06-03
- 修回日期: 2009-12-01
- 刊出日期: 2010-06-19

High Speed Moving Target Detection Using MIMO Noise Radar

摘要

摘要: 针对传统体制雷达对高速运动目标不能进行长时间有效相参积累检测问题，该文提出了一种基于MIMO噪声雷达的高速运动目标检测方法。该方法利用MIMO噪声雷达在短时间内输出的多路回波数据进行相参并行处理来取代回波数据的长时间相参积累检测，以避免距离走动，径向速度变化以及反射截面积(RCS)快起伏等非平稳因素对目标检测的影响，有效实现了多个高速运动目标的无模糊检测。仿真结果验证了MIMO噪声雷达在高速运动目标检测方面的优越性。
- MIMO雷达; 噪声雷达; 高速运动目标检测
Abstract: It is difficult for the traditional radar to detect effectively the high speed moving target with the long time coherent integration method. In this paper, Multi-Input Multi-Output (MIMO) noise radar, in which the parallel coherent processing of the multi-channel echo data in a short time is exploited to replace the long time coherent integrative detection, is used for high speed moving target detection. Thus the detection performance of MIMO noise radar may not be affected by the range migration, the radial velocity variety and the fast Radar Cross-Section (RCS) fluctuation. Then the multiple high speed moving targets can be effectively detected without range ambiguities with MIMO noise radar. Simulations verify the superiority of MIMO noise radar on high speed moving target detection.

HTML全文

参考文献(1)

Chen J J, Chen J, and Wang S L. Detection of ultra-high speed moving target based on matched Fourier transform[C]. International conference on radar, Shanghai, China, 2006: 1-4.[2]冯德军, 王雪松, 肖顺平, 等. 高速目标解调频处理的相位特性及其补偿[J].电子与信息学报.2008, 30(4):916-920浏览Feng De-jun, Wang Xue-song, and Xiao Shun-ping, et al.. Phase signatures and compensating approach to moving target echoes by dechirping processing [J]. Journal of Electronics and Information Technology, 2008, 30(4): 916-920.[3]莫力. 雷达微弱目标长时间积累检测算法的研究. [博士论文], 北京: 北京理工大学, 2004.[4]Mo Li. Researches on radar weak target detection through long-term integration. [Ph.D.dissertation], Beijing: Beijing Institute of Technology, 2004.[5]王俊. 微弱目标信号积累检测的方法研究. [博士论文], 西安: 西安电子科技大学, 1999.[6]Wang Jun. Researches on the detection of weak targets by signal integration. [Ph.D. dissertation], Xian: Xidian University, 1999.[7]陈远征, 朱永锋, 赵宏钟, 等. 基于包络插值移位补偿的高速运动目标的积累检测算法研究[J]. 信号处理, 2004, 20(4): 387-390.Chen Yuan-zheng, Zhu Yong-feng, and Zhao Hong-zhong, et al.. Detection algorithm research of high velocity moving target based on the encelope interpolation [J]. Signal Processing, 2004, 20(4): 387-390.[8]Skolnik M I. Radar Handbook, Second Edition [M]. New York: McGraw-Hill, 1990, Chapter 11.[9]韩兴斌, 胡卫东, 郁文贤,等. 分布式多通道雷达成像技术[J].电子与信息学报.2007, 29(10):2354-2358浏览Han Xing-bin, Hu Wei-dong, and Yu Wen-xian, et al.. An imaging technique based on distributed multi-channel radars[J]. Journal of Electronics and Information Technology, 2007, 29(10): 2354-2358.[10]孙立宏, 王俊. 高速运动雷达弱小目标检测方法研究[J]. 系统工程与电子技术, 2008, 30(2): 257-260.Sun Li-hong and Wang Jun. Detection algorithm for radar high speed weak targets [J]. Systems Engineering and Electronics, 2008, 30(2): 257-260.[11]张顺生, 曾涛. 基于Keystone变换的微弱目标检测[J]. 电子学报, 2005, 33(9): 1675-1678.Zhang Shun-sheng and Zeng Tao. Weak target detection based on Keystone transform[J]. Acta Electronica Sinica, 2005, 33(9): 1675-1678.[12]Haimovich A M, Blum R S, and Leonard J, et al.. MIMO radar with widely separated antennas [J].IEEE Signal Processing Magazine.2008, 25(1):116-129[13]Li J and Stoica P. MIMO radar with colocated antennas [J]. IEEE Signal Processing Magazine, 2007, 24(5): 106-114.[14]Gray D A and Capria A. MIMO noise radar - matched filters and coarrays[C]. IEEE Radar Conference, Roma, Italy, 2008: 1-6.[15]Liu B, He Z, and Zeng J. Receiving signal processing of MIMO radar based on transmitting diversity[C]. 6th International Conference on ITS Telecommunications, Chengdu, China, 2006: 1224-1227.[16]Liu G S, Gu H, and Su W M. The development of random signal radars[J].IEEE Transactions on Aerospace and Electronic Systems.1999, 35(3):770-777[17]Schmidt R O. Multiple emitter location and signal parameter estimation[J].IEEE Transactions on Antennas and Propagation.1986, 34(3):276-280[18]Roy R and Kailath T. ESPRIT-estimation of signal parameters via rotational invariance techniques[J].IEEE Transactions on Acoustics, Speech, and Signal Process.1989, 37(7):984-995[19]王世一. 数字信号处理[M]. 修订版, 北京: 北京理工大学出版社, 1997, 151-156.[20]Wang Shi-yi. Digital Signal Processing[M]. Revised Edition, Beijing: Beijing Institute of Technology Press, 1997: 151-156.

施引文献

资源附件(0)

访问统计