采样率偏移和盲同步的无线局域网MVDR波束形成器性能分析

Dani Cherkassky, S. M. Golan, S. Gannot
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引用次数: 8

摘要

在无线声传感器网络(WASNs)中,节点之间的采样率偏移(sro)是不可避免的,是相干阵列处理必须解决的挑战之一。考虑了一种简化的自由空间传播,即单个期望源从远场撞击WASNs并受到漫射噪声的污染。本文分析了固定超定向波束形成器(SDBF)在sro存在下的理论性能。sro导致的SDBF性能损失表现为标称波束方向图的失真和波束形成器输出处的过量噪声功率。我们还提出了一种用于sro估计的迭代算法。通过仿真验证了理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of MVDR beamformer in WASN with sampling rate offsets and blind synchronization
In wireless acoustic sensor networks (WASNs), sampling rate offsets (SROs) between nodes are inevitable, and recognized as one of the challenges that have to be resolved for a coherent array processing. A simplified free-space propagation is considered with a single desired source impinging a WASNs from the far-field and contaminated by a diffuse noise. In this paper, we analyze the theoretical performance of a fixed superdirective beamformer (SDBF) in presence of SROs. The SDBF performance loss due to SROs is manifested as a distortion of the nominal beampattern and an excess noise power at the output of the beamformer. We also propose an iterative algorithm for SROs estimation. The theoretical results are validated by simulation.
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