近场源的距离和方位估计

N. Tayem, Champike Attanaayake, A. Abatan
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引用次数: 2

摘要

大多数阵列信号处理方法都是基于远场假设来估计多入射源的到达角估计(DOA)。当源靠近天线阵列时,这些方法不再有效。本文提出了一种多近场源联合距离和方位估计的新方法。该方法分两步进行。在第一步中,我们仅使用二阶统计量构造Toeplitz矩阵,并使用揭示秩的QR分解(RRQR)来估计DOA。在第二步中,我们仅从集合数据中重构Toeplitz矩阵,该矩阵等价于一阶统计量,并使用RRQR估计值域。与现有方案相比,本文提出的方案具有若干优点。首先,Toeplitz矩阵的RRQR计算需要O(n2),而现有的交叉谱矩阵的RRQR计算需要特征值分解(EVD)或奇异值分解(SVD)。然而,使用SVD或EVD需要更多的计算复杂度O(n3)。其次,由于该方法需要二阶或一阶统计量和单个快照,因此更适合高速通信。然而,现有的方法涉及到多维度研究或高阶统计量,这进一步增加了复杂性和计算量。第三,该方法不需要对多个源的距离和方位进行配对。仿真结果表明,该方法具有较好的性能和较低的计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Range and Bearing Estimation for Near-Field Sources
Most of the array signal processing methods for the estimation of the direction of arrival angle estimation (DOA) for multiple incident sources are based on the far-field assumption. When the sources are located close to the antenna array, these methods are no longer valid. In this paper, a new method is presented for the joint range and DOA estimation for multiple near-field sources. The proposed method proceeds in two steps. In the first step, we construct the Toeplitz matrix using only the second-order statistics and employ rank revealing QR factorization (RRQR) to estimate the DOA. In the second step, we reconstruct the Toeplitz matrix from the collection data only which is equivalent to first-order statistics and employ the RRQR to estimate the range. Compared with existing schemes, the proposed schemes provide several advantages. First, the computation of RRQR for Toeplitz matrix require O(n2) whereas the existing schemes requiring eigenvalue decomposition (EVD) or singular value decomposition (SVD) for an cross spectral matrix. However using SVD or EVD require much more computational complexity O(n3). Second, the proposed method is more suitable for high speed communication since it requires second or first order statistics and a single snapshot. However, the existing method involves multidimensional research or high order statistics which increase the complexity and computational load further. Third, the proposed method does not require any pair matching for the range and DOA for multiple sources. The simulation results verify that the proposed method provide good performance with less computational complexity.
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