Podrobná bibliografie
| Název: |
面向协同探测的多机雷达功率时间联合优化分配算法. (Chinese) |
| Alternate Title: |
Joint power and time allocation algorithm in multi-radar system for cooperative target detection. (English) |
| Autoři: |
张欣睿, 时晨光, 周建江 |
| Zdroj: |
Command Control & Simulation / Zhihui Kongzhi yu Fangzhen; Feb2024, Vol. 46 Issue 1, p118-130, 13p |
| Abstract (English): |
In this study, a joint power and time allocation algorithm in multi-radar system for cooperative target detection is proposed in multi-target search and tracking scenarios. The evaluation metrics for radar search and tracking performance are derived separately, based on signal detection theory and the Cramér-Rao lower bound. A joint optimization allocation model is developed for multi-aircraft radar systems geared towards cooperative detection. This model seeks to maximize radar operational performance as the optimization objective, which will be achieved under the constraint of predefined system resource. Parameters including radar selection, radiated power, and time in radar search and tracking missions are jointly optimized. By incorporating the interior point method and particle swarm algorithm, a three-step decomposition approach is employed to solving the optimization problem. The results reveal that the proposed algorithm compared to existing algorithms improves radar system search performance and tracking accuracy effectively while adhering to the predefined system resource constraint. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
针对多目标搜索及跟踪场景,研究了面向协同探测的多机雷达功率时间联合优化分配算法。首先,基于信号检测理论和克拉美-罗下界,分别推导了雷达搜索性能与跟踪性能评估指标;在此基础上,建立了面向协同探测的多机雷达功率时间联合优化分配模型,即以最大化雷达工作性能指标为优化目标,以满足给定系统资源限制为约束条件,对雷达搜索及跟踪任务中节点选择、辐射功率和任务时间等参数进行联合优化设计;最后,针对上述优化问题,采用基于内点法和粒子群算法的三步分解算法进行求解。仿真结果表明,与现有算法相比,所提算法能够在满足给定系统资源限制的条件下,有效提高雷达系统搜索性能和跟踪精度 [ABSTRACT FROM AUTHOR] |
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