Parameters Estimation of Air Maneuvering Target Based on Compressive Sensing and Cubic Phase Transform

Li Hai; Zheng Jing-zhong; Zhou Meng; Wu Ren-biao

doi:10.11999/JEIT150170

Volume 37 Issue 11

Nov. 2015

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(11): 2697-2704

Li Hai, Zheng Jing-zhong, Zhou Meng, Wu Ren-biao. Parameters Estimation of Air Maneuvering Target Based on Compressive Sensing and Cubic Phase Transform[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2697-2704. doi: 10.11999/JEIT150170

Citation:

Li Hai, Zheng Jing-zhong, Zhou Meng, Wu Ren-biao. Parameters Estimation of Air Maneuvering Target Based on Compressive Sensing and Cubic Phase Transform[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2697-2704. doi: 10.11999/JEIT150170

Citation:

PDF( 1058 KB)

Parameters Estimation of Air Maneuvering Target Based on Compressive Sensing and Cubic Phase Transform

doi: 10.11999/JEIT150170

1.
2.
(Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)

Funds:

The National Natural Science Foundation of China (61471365, 61231017)

Received Date: 2015-01-29
Rev Recd Date: 2015-07-21
Publish Date: 2015-11-19

Abstract

Abstract

A novel and low complexity algorithm is proposed to estimate the parameters of air maneuvering target based on Compressive Sensing (CS) and Cubic Phase Transform (CPT). First of all, CPT is utilized to separate the two parameters of the maneuvering target. Then, CS is used to estimate the parameters according to the properties of sparse signal in the time-frequency domain. The proposed algorithm can acquire precise parameter estimation with limited pulses in a coherent processing interval for airborne radar. The effectiveness of the proposed algorithm is verified by the numerical simulations.
- Maneuvering target,
- Parameter estimation,
- Compressive Sensing (CS),
- Cubic Phase Transform (CPT)

FullText(HTML)

References(31)

References

吴建新. 机载相控阵雷达STAP及目标参数估计方法研究[D]. [博士论文], 西安电子科技大学, 2009.

Wu Jian-xin. Study on space-time adaptive processing and target parameters estimation of airborne phased array radar[D]. [Ph.D. dissertation], Xidian University, 2009.

Yang X P, Liu Y X, and Long T. Performance analysis of optimal and reduced-dimension STAP for airborne phased array radar[C]. 2010 9th International Symposium on Antennas Propagation and EM Theory (ISAPE), Guangzhou, 2010: 1116-1119.

Jean-Francois D, Laurent S, and Sylvie M. Reduced-rank STAP for target detection in heterogeneous environments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 1153-1162.

Li Xao-ming, Feng Da-zheng, Liu Hong-wei, et al.. Dimension-reduced space-time adaptive clutter suppression algorithm based on lower-rank approximation to weight matrix in airborne radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 53-69.

蒋浩, 翟雯, 饶妮妮, 等. 基于多级维纳滤波的机载共形阵雷达杂波抑制方法研究[J]. 电子与信息学报, 2014, 36(10): 2477-2483.

Jiang Hao, Zhai Wen, Rao Ni-ni, et al.. Study on clutter suppression method of airborne conformal array radar based on multistage wiener filter[J]. Journal of Electronics Information Technology, 2014, 36(10): 2477-2483.

Hayward S D. Principle of space-time adaptive processing[J]. Electronics Communication Engineering Journal, 2002, 14(6): 295-296.

刘建成. 加速运动目标检测及跟踪技术研究[D]. [博士论文], 国防科学技术大学, 2007.

Liu Jian-cheng. Study on accelerating target detection and tracking[D]. [Ph.D. dissertation], National University of Defense Technology, 2007.

贾舒宜, 王国宏, 张磊. 基于压缩感知的机动目标径向加速度估计[J]. 系统工程与电子技术, 2013, 35(9): 1815-1820.

Jia Shu-yi, Wang Guo-hong, and Zhang Lei. Radial acceleration estimation of maneuvering target based on compressive sensing[J]. Systems Engineering and Electronics, 2013, 35(9): 1815-1820.

Oberlin T, Meignen S, and McLaughlin S. Analysis of strongly modulated multicomponent signals with the short-time Fourier transform[C]. 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, 2013: 1558-1564.

Ma N and Wang J X. Wide band LFM signal parameter estimation based on compressed sensing theory[C]. 3rd International Conference on Manufacturing Engineering and Process, ICMEP 2014, Seoul, Korea, 2014: 1160-1165.

Singh K, Saxena R, and Kumar S. Caputo-based fractional derivative in fractional Fourier transform domain[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2013, 3(3): 330-337.

陈小龙, 刘宁波, 王国庆, 等. 基于Radon-分数阶傅里叶变换的雷达动目标检测方法[J]. 电子学报, 2014, 42(6): 1074-1080.

Chen Xiao-long, Liu Ning-bo, Wang Guo-qing, et al.. Radar detection method for moving target based on Radon-Fourier fractional Fourier transform[J]. Acta Electronica Sinica, 2014, 42(6): 1074-1080.

吴仁彪, 王小寒, 李海, 等. 基于重构时间采样的空中机动目标检测与参数估计[J]. 电子与信息学报, 2012, 34(4): 936-942.

Wu Ren-biao, Wang Xiao-han, Li Hai, et al.. Detection and parameter estimation of air maneuvering targets via reconstructing time samples[J]. Journal of Electronics Information Technology, 2012, 34(4): 936-942.

Candes E J and Wakin M B. An introduction to compressive sampling: a sensing/sampling paradigm that goes against the common knowledge in data acquisition[J]. IEEE Signal Processing, 2008, 25(2): 21-30.

王超宇, 贺亚鹏, 朱晓华, 等. 基于贝叶斯压缩感知的噪声MIMO雷达稳健目标参数提取方法[J]. 电子与信息学报, 2013, 35(10): 2498-2504.

Wang Chao-yu, He Ya-peng, Zhu Xiao-hua, et al.. A robust target parameter extraction method via Bayesian compressive sensing for noise MIMO radar[J]. Journal of Electronics Information Technology, 2013, 35(10): 2498-2504.

贾琼琼, 吴仁彪. 基于压缩感知的空时自适应动目标参数估计[J]. 电子与信息学报, 2013, 35(11): 2714-2720.

Jia Qiong-qiong and Wu Ren-biao. Space time adaptive parameter estimation of moving target based on compressed sensing[J]. Journal of Electronics Information Technology, 2013, 35(11): 2714-2720.

O Shea P. A fast algorithm for estimating the parameters of a quadratic FM signal[J]. IEEE Transactions on Signal Processing, 2004, 52(2): 385-393.

赵光辉, 张天键, 沈方芳, 等. 低信噪比下稳健压缩感知成像[J]. 航空学报, 2012, 33(3): 561-572.

Zhao Guang-hui, Zhang Tian-jian, Shen Fang-fang, et al.. Robust compressive sensing SAR imaging in low SNR condition[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(3): 561-572.

夏建明, 杨俊安, 陈功. 参数自适应调整的稀疏贝叶斯重构算法[J]. 电子与信息学报, 2014, 36(6): 1355-1361.

Xia Jian-ming, Yang Jun-an, and Chen Gong. Bayesian sparse reconstruction with adaptive parameters adjustment[J]. Journal of Electronics Information Technology, 2014, 36(6): 1355-1361.

郭佳佳, 廖桂生, 杨志伟, 等. 利用广义内积值迭代加权的空时协方差矩阵估计方法[J]. 电子与信息学报, 2014, 36(2): 422-427.

Guo Jia-jia, Liao Gui-sheng, Yang Zhi-wei, et al.. Iterative weighted covariance matrix estimation method for STAP based on generalized inner products[J]. Journal of Electronics Information Technology, 2014, 36(2): 422-427.

Relative Articles

Supplements(0)

Cited By

Proportional views