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        三正交分離式極化敏感陣列的波達(dá)方向估計(jì)

        2014-05-30 11:41:30鄭桂妹陳伯孝
        電子與信息學(xué)報(bào) 2014年5期
        關(guān)鍵詞:波達(dá)點(diǎn)式分離式

        鄭桂妹 陳伯孝 吳 渤

        ?

        三正交分離式極化敏感陣列的波達(dá)方向估計(jì)

        鄭桂妹*陳伯孝 吳 渤

        (西安電子科技大學(xué)雷達(dá)信號處理國家重點(diǎn)實(shí)驗(yàn)室 西安 710071)

        該文研究了分離式極化敏感陣列(SS-PSA)的多目標(biāo)波達(dá)方向(DOA)估計(jì)問題。首先建立三正交分離式極化敏感均勻稀疏陣列的信號模型;接著利用陣列的旋轉(zhuǎn)不變性采用ESPRIT算法計(jì)算出多值模糊DOA估計(jì);利用該模糊DOA估計(jì)值對分離式極化天線進(jìn)行空間相移的補(bǔ)償,然后利用共點(diǎn)式極化天線之間的多維角度結(jié)構(gòu)求出對應(yīng)的虛擬DOA估計(jì);最后通過提取多值模糊估計(jì)值和對應(yīng)虛擬估計(jì)值之差的最小范數(shù)得到多目標(biāo)的DOA估計(jì)。該文所提陣列采用分離式極化天線代替?zhèn)鹘y(tǒng)共點(diǎn)式極化天線,降低了陣列的互耦影響;采用稀疏陣列結(jié)構(gòu)有效地?cái)U(kuò)展了陣列的物理孔徑,大大提高了DOA估計(jì)精度。計(jì)算機(jī)仿真結(jié)果證明了該算法對分離式極化天線DOA估計(jì)的有效性和高精度性。

        DOA估計(jì);極化敏感陣列;分離式極化天線;陣列互耦;ESPRIT

        1 引言

        2 陣列及其信號模型

        圖1 本文所提三正交分離式極化敏感稀疏陣列結(jié)構(gòu)

        則整個(gè)陣列的流形矢量等于

        3 本文算法描述

        3.1 基于ESPRIT的高精度模糊DOA估計(jì)

        3.2 虛擬精-粗估計(jì)擬合解模糊

        其中

        則無模糊的目標(biāo)俯仰角和方位角的精估計(jì)值為

        4 計(jì)算機(jī)仿真結(jié)果

        仿真1 目標(biāo)兩維DOA估計(jì)及其配對

        仿真2 估計(jì)性能與信噪比關(guān)系比較

        5 結(jié)論

        本文研究了三正交分離式極化天線構(gòu)成的陣列對2維DOA的估計(jì)問題。提出了一種稀疏均勻矩形極化平面陣列,陣列的稀疏配置使得在不增加陣元數(shù)和硬件復(fù)雜度情況下有效擴(kuò)展了陣列物理孔徑,但同時(shí)也造成了2維DOA估計(jì)的模糊問題,提出了一種虛擬精-粗估計(jì)解模糊算法去掉其模糊值。該方法同時(shí)利用了極化天線提供的極化分集和稀疏陣列帶來的空間分集使得該陣列的2維DOA的估計(jì)性能大大優(yōu)于常規(guī)的標(biāo)量陣列;此外三正交分離式的極化天線設(shè)計(jì)靈活,解決了共點(diǎn)式極化天線互耦嚴(yán)重的問題,使得極化陣列硬件設(shè)計(jì)的難度大大降低;且繞開了電偶極子和磁偶極子響應(yīng)不一致的問題。

        圖2 本文算法目標(biāo)2維DOA估計(jì)星座圖

        圖3 2維DOA估計(jì)均方根誤差隨信噪比變化曲線

        [1] Yuan X. Diversely polarized antenna-array signal processing [D]. [Ph.D. dissertation], The Hong Kong Polytechnic University, 2012.

        [2] 徐友根, 劉志文, 龔曉峰. 極化敏感陣列信號處理[M]. 北京:北京理工大學(xué)出版社, 2013: 1-7.

        [3] Gu C, He J, Li H,.. Target localization using MIMO electromagnetic vector array systems[J]., 2013, 93(7): 2103-2107.

        [4] 邵華, 蘇衛(wèi)民, 顧紅, 等. 基于稀疏互質(zhì)電磁矢量陣列的MUSIC算法[J]. 電子與信息學(xué)報(bào), 2012, 34(9): 2033-2038.

        [5] Rahamim D, Tabrikian J, and Shavit R. Source localization using vector sensor array in a multipath environment[J]., 2004, 52(11): 3096-3103.

        [6] Luo F and Yuan X. Enhanced “vector-cross-product” direction-finding using a constrained sparse triangular-array [J]., 2012, DOI:10.1186/1687-6180-2012-115.

        [7] Gong X F, Liu Z W, and Xu Y G. Coherent source localization: bicomplex polarimetric smoothing with electromagnetic vector-sensors[J]., 2011, 47(3): 2268-2285.

        [8] Jiang J and Zhang J. A weighted inner product estimator in the geometric algebra of euclidean 3-space for source localization using an EM vector-sensor [J]., 2012, 25(1): 83-93.

        [9] Chiu C Y, Yan J B, Murch R D,.. Design and implementation of a compact 6-port antenna[J]., 2009, 8: 767-770.

        [10] See C-M S and Nehorai A. Source localization with distributed electromagnetic component sensor array processing[C]. IEEE Seventh International Symposium on Signal Processing and Its Applications, Pairs, France, 2003, 1: 177-180.

        [11] Monte L L, Elnour B, Erricolo D,.. Design and realization of a distributed vector sensor for polarization diversity applications[C]. IEEE International Waveform Diversity and Design Conference, Pisa, Italy, 2007: 358–361.

        [12] Monte L L, Elnour B, and Erricolo D. Distributed 6D vector antennas design for direction of arrival application[C]. IEEE International Conference on Electromagnetics in Advanced Applications, Torino, Italy, 2007: 431-434.

        [13] Monte L L, Elnour B, Rajagopalan A,.. Circularly and linearly distributed narrowband vector antennas for direction of arrival applications[C]. North American Radio Science Conference, Ottawa, Ontario, Canada, 2007: 22-26.

        [14] Hurtado M and Nehorai A. Performance analysis of passive low-grazing-angle source localization in maritime environments using vector sensors[J]., 2007, 43(2): 780-789.

        [15] Wong K T and Yuan X. ‘Vector cross-product direction- finding’ with an electromagnetic vector-sensor of six orthogonally oriented but spatially non-collocating dipoles/ loops[J]., 2011, 59(1): 160-171.

        [16] Li Y and Zhang J. An Enumerative NonLinear Programming approach to direction finding with a general spatially spread electromagnetic vector sensor array[J]., 2013, 93(4): 856-865.

        [17] Li J. Direction and polarization estimation using arrays with small loops and short dipoles[J]., 1993, 41(3): 379-387.

        [18] Yuan X, Wong K T, Xu Z,.. Various triads of collocated dipoles/loops, for direction finding & polarization estimation [J]., 2012, 12(6): 1763-1771.

        [19] Zoltowski M D and Wong K T. ESPRIT-based 2-D direction finding with a sparse uniform array of electromagnetic vector sensors[J]., 2000, 48(8): 2195-2204.

        鄭桂妹: 男,1987年生,博士生,研究方向?yàn)槭噶總鞲衅麝嚵?、MIMO雷達(dá)信號處理.

        陳伯孝: 男,1966年生,博士,教授,博士生導(dǎo)師,研究方向包括新體制雷達(dá)系統(tǒng)與雷達(dá)信號處理、陣列信號處理、精確制導(dǎo)與目標(biāo)跟蹤等.

        吳 渤: 男,1989年生,博士生,研究方向?yàn)闃O化敏感陣列信號處理.

        DOA Estimation with Three Orthogonally Oriented andSpatially Spread Polarization Sensitive Array

        Zheng Gui-mei Chen Bai-xiao Wu Bo

        (,,’710071,)

        This paper discusses the issue of multiple targets’ Direction Of Arrival (DOA) estimation for Spatially Spread Polarization Sensitive Array (SS-PSA). First, the signal model of sparsely uniform SS-PSA with three orthogonally oriented polarized-antenna is presented. Then the rotational invariance of the proposed uniform array is utilized to calculate the ambiguous DOA estimation by means of ESPRIT method. The spatial phase shift raised by spatially spread polarized-antenna is compensated by the ambiguous DOA estimation to obtain virtual collocated polarized-antenna. The corresponding virtual DOA estimation is calculated by the multi-dimensional angle structure among the virtual collocated polarized-antenna. Finally, the multiple targets’ DOA estimation is obtained by extracting the minimum norm of the difference between the ambiguous DOA estimation and the corresponding virtual DOA estimation. The proposed array can reduce the array mutual coupling by using the spatially spread polarized-antenna instead of conventional collocated polarized-antenna. Moreover, the DOA estimation accuracy can be improved greatly because of the extended aperture offered by the sparse array. Computer simulation results verify the effectiveness and high-accuracy of the proposed SS-PSA DOA estimation algorithm.

        DOA estimation; Polarization Sensitive Array (PSA); Spatially spread polarized-antenna; Array mutual coupling; ESPRIT

        TN911.7

        A

        1009-5896(2014)05-1088-06

        10.3724/SP.J.1146.2013.00967

        鄭桂妹 gmzheng@stu.xidian.edu.cn

        2013-07-04收到,2013-12-11改回

        國家自然科學(xué)基金(61001209, 61101244, 61071175),中央高?;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(K5051202038)及長江學(xué)者和創(chuàng)新團(tuán)隊(duì)計(jì)劃(IRT0954)資助課題

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