發(fā)布時(shí)間：2018-10-19 09:06

【摘要】：針對(duì)近場(chǎng)信號(hào)源,本文基于對(duì)稱子陣列提出了兩種稀疏信號(hào)表示的目標(biāo)定位方法。首先利用對(duì)稱陣元導(dǎo)向矢量的關(guān)系分離出時(shí)延中的方向角和距離兩個(gè)參數(shù),將近場(chǎng)目標(biāo)定位問題轉(zhuǎn)換為一個(gè)類遠(yuǎn)場(chǎng)的方向角估計(jì)問題,再通過稀疏信號(hào)重構(gòu)的方法分步得到方向角和距離兩個(gè)參數(shù)的估計(jì)。在參數(shù)分離的過程中,方法二通過構(gòu)造共軛部分,所得到的虛擬遠(yuǎn)場(chǎng)陣列陣元數(shù)等效于原始陣列,故所能估計(jì)的信源數(shù)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(jì)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(xué)電氣與電子工程學(xué)院;中國(guó)科學(xué)院上海微系統(tǒng)與信息技術(shù)研究所無線傳感網(wǎng)與通信重點(diǎn)實(shí)驗(yàn)室;
【基金】：重慶市科學(xué)技術(shù)委員會(huì)前沿與應(yīng)用基礎(chǔ)研究計(jì)劃一般項(xiàng)目(cstc2015jcyj A40055) 重慶市教育委員會(huì)科學(xué)研究項(xiàng)目(KJ1500917,KJ1500934)
【分類號(hào)】：TN911.7

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本文編號(hào)：2280705