Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LSP.2020.2987208 | IEEE SIGNAL PROCESSING LETTERS |
Keywords | DocType | Volume |
Resource management, Radar tracking, Radar cross-sections, Target tracking, Cognitive resource allocation, conic programming, radar networks, target tracking | Journal | 27 |
ISSN | Citations | PageRank |
1070-9908 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinghua Liu | 1 | 11 | 6.76 |
| Zhen-hai Xu | 2 | 2 | 3.07 |
| Wei Dong | 3 | 2 | 0.70 |
| Wang Luoshengbin | 4 | 0 | 1.35 |
| Xiangyang Li | 5 | 0 | 0.34 |