In distributed passive radar, optimization of the receiver placement attracts much attention recently to improve the performance. Whereas most research optimizes receiver placement for best coverage or localization performance, the effect of one performance optimization on the other is ignored. In this article, the theoretical analysis on the conflict between the coverage and localization performance optimization is presented. Then, a joint coverage and localization-based receiver placement optimization is formulated, in which the detection probability and the localization accuracy are chosen as the corresponding metrics. To solve this optimization problem, a multiobjective neighborhood search algorithm with multineighborhood structure is proposed, by which a set of Pareto solutions corresponding to the optimal receiver placements is obtained. Compared with the traditional neighborhood search algorithms, the proposed algorithm is able to provide better receiver placements approaching the global Pareto optimum, which is validated by the simulations.

中文翻译：

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分布式无源雷达中联合覆盖和定位驱动的接收机放置

在分布式无源雷达中，接收器布局的优化最近备受关注以提高性能。尽管大多数研究优化接收器放置以获得最佳覆盖或定位性能，但忽略了一种性能优化对另一种性能的影响。在本文中，对覆盖率和定位性能优化之间的冲突进行了理论分析。然后，制定了基于联合覆盖和定位的接收机放置优化，其中选择检测概率和定位精度作为相应的度量。为了解决这个优化问题，提出了一种具有多邻域结构的多目标邻域搜索算法，通过该算法获得一组对应于最优接收器放置的帕累托解。