Compressive sensing in time reversal radars: Incoherency analysis

M. Sajjadieh, A. Asif
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Abstract

In array processing, compressive sensing (CS) has recently emerged as a new sampling paradigm for estimating the direction-of-arrival (DOA) from a relatively small number of observations. The paper derives an analytical expression for the mutual coherence of the CS dictionary for a single-input, multiple output (SIMO) radar to advocate the consideration of incoherency issues by researchers exploring potential gains with CS. We couple time reversal (TR) with the Cs/SIMO radar to illustrate a possible increase in the incoherency of the CS dictionary with time reversal.
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时间反转雷达中的压缩感知:非相干分析
在阵列处理中,压缩感知(CS)最近成为一种新的采样范式,用于从相对较少的观测值中估计到达方向(DOA)。本文推导了单输入多输出(SIMO)雷达CS字典相互相干性的解析表达式,以鼓励研究人员在探索CS的潜在收益时考虑非相干性问题。我们将时间反转(TR)与Cs/SIMO雷达耦合,以说明Cs字典随时间反转可能增加的非相干性。
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