Full Text:   <1279>

Summary:  <336>

CLC number: TN95

On-line Access: 2015-09-06

Received: 2015-02-01

Revision Accepted: 2015-05-21

Crosschecked: 2015-07-08

Cited: 0

Clicked: 2129

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Ji-chuan Li

http://orcid.org/0000-0003-0314-4475

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Frontiers of Information Technology & Electronic Engineering  2015 Vol.16 No.9 P.785-795

10.1631/FITEE.1500036


Moving target detection in the cepstrum domain for passive coherent location (PCL) radar


Author(s):  Ji-chuan Li, Xiao-de Lu, Hui Zhang, Peng-cheng Yang, Yu Liu, Mao-sheng Xiang

Affiliation(s):  1Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; more

Corresponding email(s):   lijichuan10@sina.com

Key Words:  Moving target detection, Cepstrum techniques, Cross ambiguity function (CAF), Passive coherent location (PCL) radar


Ji-chuan Li, Xiao-de Lu, Hui Zhang, Peng-cheng Yang, Yu Liu, Mao-sheng Xiang. Moving target detection in the cepstrum domain for passive coherent location (PCL) radar[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(9): 785-795.

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Abstract: 
A cepstrum moving target detection (CEPMTD) algorithm based on cepstrum techniques is proposed for passive coherent location (PCL) radar systems. The primary cepstrum techniques are of great success in recognizing the arrival times of static target echoes. To estimate the Doppler frequencies of moving targets, we divide the radar data into a large number of segments, and reformat these segments into a detection matrix. Applying the cepstrum and the Fourier transform to the fast and slow time dimensions respectively, we can obtain the range information and Doppler information of the moving targets. Based on the CEPMTD outlined above, an improved CEPMTD algorithm is proposed to improve the detection performance. Theoretical analyses show that only the target’s peak can be coherently added. The performance of the improved CEPMTD is initially validated by simulations, and then by experiments. The simulation results show that the detection performance of the improved CEPMTD algorithm is 13.3 dB better than that of the CEPMTD algorithm and 6.4 dB better than that of the classical detection algorithm based on the radar cross ambiguity function (CAF). The experiment results show that the detection performance of the improved CEPMTD algorithm is 1.63 dB better than that of the radar CAF.

The work emphasizes on IMPROVED CEPSTRUM. The concept is clear and good. The language used is simple and easy to understand. The real time results portrayed are appreciable. It is an interesting advance in the field.

无源雷达倒谱动目标检测方法

目的:为无源雷达提出新的目标检测方法,改善无源雷达的目标检测性能,丰富无源雷达目标检测方法库。
创新点:首次提出基于倒谱技术的无源雷达动目标检测(CEPMTD)方法。在CEPMTD算法的基础上,为获得更高的目标检测性能,进而提出了改进的CEPMTD算法。
方法:首先,将传统倒谱技术加以改进和扩展,使其具有运动目标检测的能力。然后,在该方法基础上,提出改进的CEPMTD算法,利用相同的回波信号和参考信号,通过改变它们之间的相对延时,构建不同的合成信号。对于每个合成信号利用CEPMTD算法进行目标检测,将每次输出的结果按照一定的规则相干累加。运动目标的真实峰值相干累加,而旁瓣和副峰则非相干叠加。最后,利用仿真和试验数据对本文方法进行验证。
结论:理论分析结果显示改进的CEPMTD算法的目标检测性能优于雷达模糊函数,仿真和试验结果验证了理论分析结果。

关键词:动目标检测;倒谱技术;雷达模糊函数;无源雷达

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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