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

Conference Paper (2024)
Author(s)

Ids van der Werf (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Costas A. Kokke (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Richard Heusdens (TU Delft - Electrical Engineering, Mathematics and Computer Science, Netherlands Defence Academy)

Richard C. Hendriks (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Geert Leus (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Mario Coutino (TU Delft - Electrical Engineering, Mathematics and Computer Science, TNO)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.23919/EUSIPCO63174.2024.10714931 Final published version
More Info
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Publication Year
2024
Language
English
Research Group
Signal Processing Systems
Pages (from-to)
2272-2276
ISBN (electronic)
9789464593617
Event
32nd European Signal Processing Conference, EUSIPCO 2024 (2024-08-26 - 2024-08-30), Lyon, France
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220
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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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