Analysis on the Impact of a Clustered Multistatic Radar Network on Target Localization Accuracy
conference paper
Target detection by a multistatic radar system consisting of moving sensors only involves simultaneous measurements from multiple transmitter-receiver pairs to estimate a target’s location. In order to evaluate the measurements received by the sensors, the sensors need to communicate wirelessly with each other to transmit the measurements for example to a central processing node. Wireless communication between sensors and a central processing node increases the probability of interception, which leads to a greater risk of detection and potentially the location of the individual sensors. A strategy,
where receivers that are spatially close to each other, are grouped into a cluster, could potentially mitigate these issues by
employing local processing within a cluster. Consequently, this reduces the number of communication links between a central
processing node and each sensor. However, organizing the sensors in clusters can lead to a reduction in target detection performance compared to the optimal receiver sensor placement. In our study presented in this paper, we investigate the performance of target localization accuracy using various performance metrics, such as the Cram´er-Rao Lower Bound, the position estimation error, and the localization uncertainty area.
where receivers that are spatially close to each other, are grouped into a cluster, could potentially mitigate these issues by
employing local processing within a cluster. Consequently, this reduces the number of communication links between a central
processing node and each sensor. However, organizing the sensors in clusters can lead to a reduction in target detection performance compared to the optimal receiver sensor placement. In our study presented in this paper, we investigate the performance of target localization accuracy using various performance metrics, such as the Cram´er-Rao Lower Bound, the position estimation error, and the localization uncertainty area.
TNO Identifier
1002520
Source title
International Radar Conference (RADAR), Sep. 2024, Rennes, France
Pages
1–6
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