Passive Multistatic Localization with the Prior Receiving Beamwidth Constraint

This paper investigates the target localization using bistatic range measurements with multiple transmitters and one passive receiver. We introduce an angular constraint to incorporate the valuable information from the main-lobe beamwidth of the receiving antenna into the passive multistatic localization problem. Then, a specific Semidefinite Relaxation (SDR) based algorithm is proposed to tackle this quadratically constrained quadratic programming (QCQP) problem. Simulation results illustrate that the proposed algorithm effectively leverages the prior main-lobe beamwidth information, resulting in lower estimation errors compared to alternative methods.

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Published
2024-10-21
DOI
https://doi.org/10.1109/radar58436.2024.10993842
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
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article

Passive Multistatic Localization with the Prior Receiving Beamwidth Constraint

Zhi Mao, Hongtao Su
Target Tracking and Data Fusion in Sensor Networks
article

Passive Multistatic Localization with the Prior Receiving Beamwidth Constraint

Zhi Mao, Hongtao Su
article en

Abstract

This paper investigates the target localization using bistatic range measurements with multiple transmitters and one passive receiver. We introduce an angular constraint to incorporate the valuable information from the main-lobe beamwidth of the receiving antenna into the passive multistatic localization problem. Then, a specific Semidefinite Relaxation (SDR) based algorithm is proposed to tackle this quadratically constrained quadratic programming (QCQP) problem. Simulation results illustrate that the proposed algorithm effectively leverages the prior main-lobe beamwidth information, resulting in lower estimation errors compared to alternative methods.

Xidian University (CN)
Openalex Percentile: Top 73%
Target Tracking and Data Fusion in Sensor Networks
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