對稱子陣列的近場信號稀疏表示定位方法
發(fā)布時間：2018-10-19 09:06
【摘要】：針對近場信號源,本文基于對稱子陣列提出了兩種稀疏信號表示的目標定位方法。首先利用對稱陣元導向矢量的關系分離出時延中的方向角和距離兩個參數,將近場目標定位問題轉換為一個類遠場的方向角估計問題,再通過稀疏信號重構的方法分步得到方向角和距離兩個參數的估計。在參數分離的過程中,方法二通過構造共軛部分,所得到的虛擬遠場陣列陣元數等效于原始陣列,故所能估計的信源數約為方法一的兩倍。和同類方法相比,本文提出的方法具有較低的計算量。仿真表明,本文兩種方法具有更高的分辨率。
[Abstract]:In this paper, two sparse signal representation methods for target location based on symmetric subarray are proposed for near-field signal sources. Firstly, two parameters of direction angle and distance in time delay are separated by using the relation of orientation vector of symmetric matrix element, and the problem of near-field target location is transformed into a direction angle estimation problem of a quasi-far-field. Then the estimation of direction angle and distance is obtained step by sparse signal reconstruction. In the process of parameter separation, by constructing conjugate part, the number of virtual far-field array elements is equivalent to that of the original array, so the number of information sources can be estimated about twice that of the first method. Compared with the similar methods, the method presented in this paper has a lower computational complexity. Simulation results show that the two methods have higher resolution.
【作者單位】： 重慶理工大學電氣與電子工程學院;中國科學院上海微系統(tǒng)與信息技術研究所無線傳感網與通信重點實驗室;
【基金】：重慶市科學技術委員會前沿與應用基礎研究計劃一般項目(cstc2015jcyj A40055) 重慶市教育委員會科學研究項目(KJ1500917,KJ1500934)
【分類號】：TN911.7
本文編號：2280705
[Abstract]:In this paper, two sparse signal representation methods for target location based on symmetric subarray are proposed for near-field signal sources. Firstly, two parameters of direction angle and distance in time delay are separated by using the relation of orientation vector of symmetric matrix element, and the problem of near-field target location is transformed into a direction angle estimation problem of a quasi-far-field. Then the estimation of direction angle and distance is obtained step by sparse signal reconstruction. In the process of parameter separation, by constructing conjugate part, the number of virtual far-field array elements is equivalent to that of the original array, so the number of information sources can be estimated about twice that of the first method. Compared with the similar methods, the method presented in this paper has a lower computational complexity. Simulation results show that the two methods have higher resolution.
【作者單位】： 重慶理工大學電氣與電子工程學院;中國科學院上海微系統(tǒng)與信息技術研究所無線傳感網與通信重點實驗室;
【基金】：重慶市科學技術委員會前沿與應用基礎研究計劃一般項目(cstc2015jcyj A40055) 重慶市教育委員會科學研究項目(KJ1500917,KJ1500934)
【分類號】：TN911.7
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