相参多通道SDR -稀疏阵列波束形成

M. Laakso, Robin Rajamäki, R. Wichman, V. Koivunen
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引用次数: 4

摘要

介绍了一种模块化且价格合理的相干多通道软件定义无线电(SDR)接收机,并通过对从7 × 3单元均匀矩形阵列天线收集的信号进行到达方向(DOA)估计来演示其性能,比较了满阵列和稀疏阵列的结果。稀疏传感器阵列可以通过减少元素数量达到完全填充阵列的分辨率,从而降低了天线阵列等所需的结构复杂性。此外,稀疏阵列有助于显著降低成本,因为需要更少的昂贵RF-IF前端。用多信号分类(MUSIC) DOA估计器对采集数据集的结果进行分析。通常,稀疏阵列的估计与全阵列的估计一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase-coherent multichannel SDR - Sparse array beamforming
We introduce a modular and affordable coherent multichannel software-defined radio (SDR) receiver and demonstrate its performance by direction-of-arrival (DOA) estimation on signals collected from a 7 X 3 element uniform rectangular array antenna, comparing the results between the full and sparse arrays. Sparse sensor arrays can reach the resolution of a fully populated array with reduced number of elements, which relaxes the required structural complexity of e.g. antenna arrays. Moreover, sparse arrays facilitate significant cost reduction since fewer expensive RF-IF front ends are needed. Results from the collected data set are analyzed with Multiple Signal Classification (MUSIC) DOA estimator. Generally, the sparse array estimates agree with the full array.
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