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A NOVEL METHOD OF OPTIMAL MULTI-AREA SEARCH FOR PHASED ARRAY RADAR

机译:一种新颖的最佳多区搜索方法,用于相控阵雷达

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With dynamical change of the environment, the optimal allocation of search resources is required for multi-area search of phased array radar. A parameter optimization model based on the weighted average discovering range of the penetration target is built in this paper. By joint search load allocation and search frame time adjustment optimal performance is achieved with initial search resources. Then three search load adjustment strategies named EAS (Equal Adjustment Strategy), LAS (Least-important Adjustment Strategy) and AAS (Adaptive Adjustment Strategy) are presented when search resources become limited. Simulation results prove the effectiveness of the optimal algorithm, and it's indicated that AAS provides the least performance loss compared to the other two strategies.
机译:通过对环境的动态变化,多区搜索所需的阵列雷达需要最佳分配。本文建立了基于渗透目标的加权平均发现范围的参数优化模型。通过联合搜索负载分配和搜索帧时间调整,通过初始搜索资源实现最佳性能。然后,当搜索资源有限时,提出了三个名为EAR(等调整策略),LAS(最小重要调整策略)和AAS(自适应调整策略)的三个搜索负载调整策略。仿真结果证明了最优算法的有效性,表明AAS与其他两种策略相比提供了最低性能损失。

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