共形阵列LFM信号DOA和极化参数的联合估计

doi:10.3969/j.issn.0255-8297.2013.03.006

应用科学学报 ›› 2013, Vol. 31 ›› Issue (3): 252-258.doi: 10.3969/j.issn.0255-8297.2013.03.006

共形阵列LFM信号DOA和极化参数的联合估计

张树银，郭英，齐子森，苏令华

空军工程大学电讯工程学院，西安710077

收稿日期:2012-01-09 修回日期:2012-04-04 出版日期:2013-05-28 发布日期:2012-04-04
作者简介:张树银，博士生，研究方向：阵列信号处理，E-mail: zsy2504@163.com；郭英，教授，博导，研究方向：通信信号处理、自适应信号处理，E-mail: guoying_dsp@sina.com
基金资助:
国家自然科学基金(No.60601016)；航空科学基金(No.20112096016)；陕西省自然科学基金(No.2010JQ8003)资助

Joint Estimation of DOA and Polarization for LFM Signals Using Conformal Array Antenna

ZHANG Shu-yin, GUO Ying, QI Zi-sen, SU Ling-hua

Institute of Telecommunication Engineering, Air Force Engineering University, Xi’an 710077, China

Received:2012-01-09 Revised:2012-04-04 Online:2013-05-28 Published:2012-04-04

摘要/Abstract

摘要： 利用分数阶傅里叶变换(fractional Fourier transform, FRFT)对线性调频(linear frequency modulation,LFM)信号的能量匹配聚焦特性来简化共形阵列的数据模型，根据子空间拟合原理提出一种信源DOA和极化参数的去耦联合估计方法. 直接进行DOA估计涉及求解难度较大的多维多峰参数搜索过程，于是通过重构噪声子空间
和流形矩阵建立了单峰的目标函数，然后用PSO算法估计信源方位角和俯仰角，在此基础上利用ESPRIT实现极化参数估计. 仿真实验表明，去耦参数估计方法能在保证算法性能的前提下简化问题复杂度，有效降低运算量.

关键词: 线性调频信号, 共形阵列天线, 子空间拟合, 粒子群优化, 参数联合估计

Abstract: Using the energy concentration ability of fractional Fourier transform (FRFT) to linear frequency modulation (LFM) signal, this paper presents a simplified data model for conformal array, and proposes a method to de-couple DOA and polarization estimation using an algorithm of noise subspace fitting. As it uses
a multi-dimensional and multi-peak search procedure to resolve the DOA estimation problem, the proposed scheme forms a single peak objection function by reforming the noise subspace vector and manifold matrix. 2D DOA estimation is performed with particle swarm optimization. The polarization parameter is then acquired based on the ESPRIT theory. Simulation results show that the proposed method can reduce the computation complexity with a favorable parameter estimation performance.

Key words: conformal array antenna (CAA), subspace fitting, particle swarm optimization (PSO), joint parameter estimation, linear frequency modulation (LFM)

中图分类号:

TN911.23

张树银，郭英，齐子森，苏令华. 共形阵列LFM信号DOA和极化参数的联合估计[J]. 应用科学学报, 2013, 31(3): 252-258.

ZHANG Shu-yin, GUO Ying, QI Zi-sen, SU Ling-hua. Joint Estimation of DOA and Polarization for LFM Signals Using Conformal Array Antenna[J]. Journal of Applied Sciences, 2013, 31(3): 252-258.

参考文献

[1] 刁鸣，安春莲. 基于矢量重构的相干信源测向 [J]. 应用科学学报，2011, 29(3): 261-266.

DIAO Ming, AN Chunlian. Direction Finding for Coherent Signals Based on Vector Reconstruction [J]. Journal of Applied Sciences, 2011, 29(3): 261-266. (in Chinese)

[2] 许凌云，张小飞，许宗泽. 平面阵列下的二维角度和频率联合估计[J]. 应用科学学报，2011, 29(2): 187-193.

Xu Lingyun, Zhang Xiaofei, Xu Zongze. Joint 2D angle and frequency estimation based on uniform square array [J]. Journal of Applied Sciences, 2011, 29(2): 187-193. (in Chinese)

[3] YU Yan tTao Yu, Lui Hoi -Shun Lui, Niow Choon Hock Niow, Hui Hon Tat Hui. Improved DOA estimations using the Receiving mutual impedances for mutual coupling compensation: an experimental study [J]. IEEE Transactions on Wireless Communication, 2011, 10(7): 2228-2233.

[4] 齐子森，郭英，姬伟峰，王布宏．锥面共形阵列天线盲极化DOA估计算法．电子学报，2009, 37(9)：1919-1925.

Qi Zisen, Guo Ying, Ji Weifeng, Wang Buhong. Blind DOA estimation algorithm for conical conformal array antenna with respect to polarization diversity [J]. Acta Electronica Sinica, 2009, 37(9): 1919-1925. (in Chinese)

[5] Yang Peng, Yang Feng, Nie Zaiping. Fast 2D DOA and polarization estimation using arbitrary conformal antenna array [J]. Progress in Electromagnetics Research C, 2012, 25: 119-132.

[6] 张树银，郭英，齐子森. 锥面共形阵列信源方位和极化参数的联合估计算法 [J]. 电子与信息学报，2011, 33(10): 2407-2412.

Zhang Shuyin, Guo Ying, Qi Zisen. Joint estimation of 2D DOA and polarization with conical conformal array antenna [J]. Journal of Electronics & Information Technology, 2011, 33(10): 2407-2412. (in Chinese)

[7] LI Jian, Compton R T. Angle and polarization estimation using ESPRIT with a polarization sensitive array [J]. IEEE Transactions on Antennas and Propagation, 1991, 39(9): 1376-1383.

[8] He Jin, Liu Zhong. Computationally efficient 2D direction finding and polarization estimation with arbitrarily spaced electromagnetic vector sensors at unknown locations using the propagator method [J]. Signal Processing, 2009, 19(3): 491-503.

[9] Xu You Gen, Liu Zhi Wen, Wong Kainam Thomas, Cao Jin Liang. Virtual manifold ambiguity in HOS-based direction-finding with electromagnetic vector-sensors [J]. IEEE Transaction on Aerospace and Electronic Systems, 2008, 44(4): 1291-1308.

[10] COSTA M, RICHTER A, KOIVUNEN V. Elevation and polarization estimation for arbitrary polarimetric array congurations. IEEE Workshop on Statistical Signal Process, 2009, 261-264.

[11] 杨小明，陶然. 基于分数阶傅里叶变换的线性调频信号二维波达方向估计 [J]. 电子学报，2008，36(9): 1737-1740.

Yang Xiaoming, Tao Ran. 2D DOA estimation of LFM signals based on fractional Fourier transform[J]. Acta Electronica Sinica, 2008, 36(9): 1737-1740. (in Chinese)

[12] SAXENA R, KULBIR S. Fractional Fourier transform: a novel tool for signal processing [J]. JJournal of. Indian InstInstitute. Science. 2005, 85: 11-26.

[13] KENNEDY J, EBERHART R C. Particle swarm optimization. Proceeding Of IEEE Internal Conference on Neural Networks, 1995: 1942-1948.

[14] 吴晓军，杨战中，赵明. 均匀搜索粒子群算法[J]. 电子学报，2011, 39(6): 1261-1266.

Wu Xiaojun, Yang Zhanzhong, Zhao Ming. A uniform searching particle swarm optimization algorithm [J]. Acta Electronica Sinica, 2011, 39(6): 1261-1266. (in Chinese)

[15] SWINDLEHURST A, VIBERG M. Subspace fitting with diversely polarized antenna arrays [J]. IEEE Transactions on Antennas and Propagation, 1993, 41(12): 1687-1694.

[16] SHI Y, EBERHART R. Empirical study of particle swarm optimization [J]. Proceeding of Congress on Computational Intelligence, 1999: 1949-1950.

共形阵列LFM信号DOA和极化参数的联合估计

Joint Estimation of DOA and Polarization for LFM Signals Using Conformal Array Antenna

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