基于壓縮感知和三次相位變換的低復雜度空中機動目標參數(shù)估計

李海; 鄭景忠; 周盟; 吳仁彪

doi:10.11999/JEIT150170

基于壓縮感知和三次相位變換的低復雜度空中機動目標參數(shù)估計

doi: 10.11999/JEIT150170 cstr: 32379.14.JEIT150170

2.
(中國民航大學天津市智能信號與圖像處理重點實驗室天津 300300) ②(澳大利亞伍倫貢大學電氣計算機與通信工程學院伍倫貢 999029)

基金項目:

國家自然科學基金(61471365, 61231017)，中國民航大學藍天青年學者培養(yǎng)經(jīng)費和中央高?；究蒲袠I(yè)務費項目(3122015B002)

計量
- 文章訪問數(shù): 1477
- HTML全文瀏覽量: 106
- PDF下載量: 601
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-01-29
- 修回日期: 2015-07-21
- 刊出日期: 2015-11-19

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

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)

摘要

摘要: 該文提出一種基于壓縮感知和三次相位變換(Cubic Phase Transform, CPT)的低復雜度空中機動目標參數(shù)估計方法。首先利用CPT將機動目標回波信號中的兩個參數(shù)進行分離，然后采用壓縮感知技術完成機動目標參數(shù)的估計。在機載雷達發(fā)射脈沖數(shù)有限的情況下，該方法能夠獲得準確的參數(shù)估計結(jié)果；仿真實驗驗證了該方法有效性。
- 機動目標 /
- 參數(shù)估計 /
- 壓縮感知 /
- 三次相位變換
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)

HTML全文

參考文獻(31)

吳建新. 機載相控陣雷達STAP及目標參數(shù)估計方法研究[D]. [博士論文], 西安電子科技大學, 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.

蔣浩, 翟雯, 饒妮妮, 等. 基于多級維納濾波的機載共形陣雷達雜波抑制方法研究[J]. 電子與信息學報, 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.

劉建成. 加速運動目標檢測及跟蹤技術研究[D]. [博士論文], 國防科學技術大學, 2007.

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

賈舒宜, 王國宏, 張磊. 基于壓縮感知的機動目標徑向加速度估計[J]. 系統(tǒng)工程與電子技術, 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.

陳小龍, 劉寧波, 王國慶, 等. 基于Radon-分數(shù)階傅里葉變換的雷達動目標檢測方法[J]. 電子學報, 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.

吳仁彪, 王小寒, 李海, 等. 基于重構(gòu)時間采樣的空中機動目標檢測與參數(shù)估計[J]. 電子與信息學報, 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, 賀亞鵬, 朱曉華, 等. 基于貝葉斯壓縮感知的噪聲MIMO雷達穩(wěn)健目標參數(shù)提取方法[J]. 電子與信息學報, 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.

賈瓊瓊, 吳仁彪. 基于壓縮感知的空時自適應動目標參數(shù)估計[J]. 電子與信息學報, 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.

趙光輝, 張?zhí)戽I, 沈方芳, 等. 低信噪比下穩(wěn)健壓縮感知成像[J]. 航空學報, 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, 楊俊安, 陳功. 參數(shù)自適應調(diào)整的稀疏貝葉斯重構(gòu)算法[J]. 電子與信息學報, 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, 楊志偉, 等. 利用廣義內(nèi)積值迭代加權(quán)的空時協(xié)方差矩陣估計方法[J]. 電子與信息學報, 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.

施引文獻

資源附件(0)

訪問統(tǒng)計