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arXiv · 2205.08911

Subspace-Based Detection and Localization in Distributed MIMO Radars

Yangming Lai·Luca Venturino·Emanuele Grossi·Wei Yi
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Abstract

In this paper, we consider a distributed multiple-input multiple-output (MIMO) radar which radiates waveforms with non-ideal cross- and auto-correlation functions and derive a novel subspace-based procedure to detect and localize multiple prospective targets. The proposed solution solves a sequence of composite binary hypothesis testing problems by resorting to the generalized information criterion (GIC); in particular, at each step, it aims to detect and localize one additional target, upon removing the interference caused by the previously-detected targets. An illustrative example is provided.

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Yangming Lai, Luca Venturino, Emanuele Grossi, Wei Yi. 2022-05-18. Subspace-Based Detection and Localization in Distributed MIMO Radars. https://doi.org/10.1109/sam53842.2022.9827898

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