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Experimental Evaluation of Multi-Target Localization Accuracy Using Multistatic MIMO Radar

Nobuyuki Shiraki, Naoki Honma, Kentaro Murata, Takeshi Nakayama, Shoichi Iizuka

2023IEEE Sensors Journal10 citationsDOI

Abstract

This article evaluates multiple target localization accuracy when using multistatic multiple-input multiple-output (MIMO) radar. We adopt a spectrum fusion technique that improves the target localization accuracy when there are multiple targets, by which the multiple signal classification (MUSIC) spectrum, calculated from all combinations of transmitting and receiving stations, is multiplied. The simulation and experiments are performed for up to eight targets. Our results show that localization accuracy can be improved by increasing the number of transmitting and receiving stations. The distance error for eight targets was 1.6 m in the simulation and 2.4 m in the experiment. This method can be used to estimate the number of targets with high accuracy.

Topics & Concepts

Computer scienceMultistatic radarMIMORadarAlgorithmBistatic radarSIGNAL (programming language)Artificial intelligenceRadar imagingTelecommunicationsProgramming languageChannel (broadcasting)Radar Systems and Signal ProcessingAdvanced SAR Imaging TechniquesUnderwater Acoustics Research
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