Cognitive Resource Allocation for Target Tracking in Location-Aware Radar Networks

In this letter, a general framework of cognitive resource allocation for target tracking in radar networks is proposed. Firstly, an allocation strategy evaluation metric is established in this framework, i.e., the predicted conditional Cramer-Rao lower bound (PC-CRLB), for evaluating the future resp...

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Veröffentlicht in:IEEE signal processing letters Jg. 27; S. 650 - 654
Hauptverfasser: Liu, Xinghua, Xu, Zhenhai, Dong, Wei, Wang, Luoshengbin, Li, Xiangyang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Cognitive resource allocation
conic programming
Cramer-Rao bounds
Dwell time
Lower bounds
Mathematical analysis
Optimization
Radar cross-sections
Radar networks
Radar tracking
Resource allocation
Resource management
Strategy
Target tracking
ISSN:1070-9908, 1558-2361
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Zusammenfassung:In this letter, a general framework of cognitive resource allocation for target tracking in radar networks is proposed. Firstly, an allocation strategy evaluation metric is established in this framework, i.e., the predicted conditional Cramer-Rao lower bound (PC-CRLB), for evaluating the future response of each candidate allocation strategy. Then, the optimal resource allocation strategy can be found by solving a constrained optimization problem. To specify the framework implementation details, a dwell time allocation problem is considered. For this given problem, the analytical expressions of PC-CRLB and its derived scalar strategy evaluation metric are derived, enabling us to convert the allocation problem to a second-order cone program (SOCP). Numerical results demonstrate the effectiveness of the proposed framework.
Bibliographie:ObjectType-Article-1
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2020.2987208