Joint Allocation Of Multi-aircraft Radar Transmit And Maneuvering Resource For Multi-target Tracking

Multi-aircraft radar detection often uses preset transmit patterns and flight paths, and detection performance can be dramatically degraded by mismatched irradiation to transmit resource and blind area avoidance of enemy targets. Aiming at this problem, this paper proposed a joint transmit and maneuvering resource allocation method (JTMRA) for multi-aircraft radar tracking multi-target, to achieve high precision detection and tracking of enemy targets. First, we designed a multi-target tracking performance evaluation mechanism based on the Bayesian Cramér-Rao Lower Bound (BCRLB); Secondly, we established a joint optimal allocation model of multi-aircraft radar transmit and maneuvering resource, and analyzed the correlation between the optimized variables and the tracking performance; Finally, the simulation results showed that the method proposed in this paper obtained highly accurate target tracking results with limited resource.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868605
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
1.30
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article

Joint Allocation Of Multi-aircraft Radar Transmit And Maneuvering Resource For Multi-target Tracking

Hao Jiao, Junkun Yan, Hongwei Liu, Chen Li
1 citations
Radar Systems and Signal Processing
1.30
article

Joint Allocation Of Multi-aircraft Radar Transmit And Maneuvering Resource For Multi-target Tracking

Hao Jiao, Junkun Yan, Hongwei Liu, Chen Li
article en
1 citations

Abstract

Multi-aircraft radar detection often uses preset transmit patterns and flight paths, and detection performance can be dramatically degraded by mismatched irradiation to transmit resource and blind area avoidance of enemy targets. Aiming at this problem, this paper proposed a joint transmit and maneuvering resource allocation method (JTMRA) for multi-aircraft radar tracking multi-target, to achieve high precision detection and tracking of enemy targets. First, we designed a multi-target tracking performance evaluation mechanism based on the Bayesian Cramér-Rao Lower Bound (BCRLB); Secondly, we established a joint optimal allocation model of multi-aircraft radar transmit and maneuvering resource, and analyzed the correlation between the optimized variables and the tracking performance; Finally, the simulation results showed that the method proposed in this paper obtained highly accurate target tracking results with limited resource.

Xidian University (CN)
Openalex Percentile: Top 11%
Radar Systems and Signal Processing
1.30
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