基于傳播算子的近場源二維參數(shù)聯(lián)合估計
發(fā)布時間:2018-01-26 16:14
本文關鍵詞: 近場源 四階累積量 方向估計 距離估計 傳播算子 出處:《系統(tǒng)仿真學報》2017年10期 論文類型:期刊論文
【摘要】:提出一種基于四階累積量和傳播算子的近場源方向角和距離二維參數(shù)聯(lián)合估計算法,算法利用均勻線陣接收的數(shù)據(jù)構造四階累積量矩陣,采用傳播算子方法估計出接收信號的噪聲子空間,構造MUSIC譜函數(shù),通過譜峰搜索方法,估計信源的方向角和距離二維參數(shù)。與傳統(tǒng)MUSIC算法相比,所提出的算法利用傳播算子方法直接估計出噪聲子空間的最小二乘解,而非傳統(tǒng)奇異值分解算法的正交解,在估計性能上略遜色于傳統(tǒng)的奇異值分解算法,但是卻具有較低的計算復雜度,仿真實驗驗證了所提出算法的有效性。
[Abstract]:Based on fourth-order cumulant and propagation operator, a two-dimensional joint estimation algorithm of near-field direction angle and distance is proposed. The algorithm constructs the fourth-order cumulant matrix from the data received by uniform linear array. The noise subspace of the received signal is estimated by using the propagation operator method, and the MUSIC spectral function is constructed, and the spectral peak search method is used. Compared with the traditional MUSIC algorithm, the proposed algorithm uses the propagation operator method to estimate the least square solution of the noise subspace directly. However, the orthogonal solution of the unconventional singular value decomposition algorithm is slightly inferior to the traditional singular value decomposition algorithm in estimation performance, but it has lower computational complexity. The simulation results show that the proposed algorithm is effective.
【作者單位】: 天津職業(yè)技術師范大學;北京交通大學;
【基金】:國家自然科學基金(61271412) 天津職業(yè)技術師范大學校級項目(KJ14-33,RC14-46,KJ1713)
【分類號】:TN911.7
【正文快照】: 引言1信源參數(shù)估計問題是陣列信號處理中一個重要的研究方向,在雷達、聲納、生物醫(yī)學、地震勘探等諸多領域中都有著廣泛的應用,根據(jù)信源距離接收陣列的遠近,信源參數(shù)估計問題可分為近場源參數(shù)估計問題和遠場源參數(shù)估計問題,在遠場源參數(shù)估計中,信源假設為平面波,只需要用方向,
本文編號:1466050
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