Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array

Conference Paper (2024)
Author(s)

I. Van der Werf (TU Delft - Signal Processing Systems)

Costas A. Kokke (TU Delft - Signal Processing Systems)

Richard Heusdens (TU Delft - Signal Processing Systems, Netherlands Defence Academy)

RC Hendriks (TU Delft - Signal Processing Systems)

G Leus (TU Delft - Signal Processing Systems)

Mario Coutiño (TU Delft - Signal Processing Systems, TNO)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.23919/EUSIPCO63174.2024.10714931
More Info
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Publication Year
2024
Language
English
Research Group
Signal Processing Systems
Pages (from-to)
2272-2276
ISBN (electronic)
9789464593617
Reuse Rights

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Abstract

The main focus of this paper is an active sensing application that involves selecting transmit and receive sensors to optimize the Cramér-Rao bound (CRB) on target parameters. Although the CRB is non-convex in the transmit and receive selection, we demonstrate that it is convex in the virtual array weight vector, which describes the multiplicity of the virtual array elements. Based on this finding, we propose a novel algorithm that optimizes the virtual array weight vector first and then finds a matching transceiver array. This greatly enhances the efficiency of the transmit and receive sensor selection problem.

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