Counterintuitive Constrained Optimization Strategy for Phased-Array Radar Areal Coverage

M. Haspel
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Abstract

The optimization of phased-array RADAR areal coverage on the plane, in 2D, is considered for a semi-infinite strip where the agent carrying the RADAR travels at uniform velocity along the centerline of the strip. Because the system is symmetric we naturally are led to expect an optimal solution, with maximal areal coverage, which is symmetric and well ordered. However, in general, we find the optimal solution to be asymmetric and random in nature, defying intuition. An algorithm was developed for getting at these solutions and these optimal solutions are found to be far superior to ordered arrangements and random constructions. The conclusions are valid for other sensors modeled with 3D conical detection projected onto the plane.
相控阵雷达区域覆盖反直觉约束优化策略
考虑了半无限条形平面上相控阵雷达二维面积覆盖的优化问题,其中携带雷达的agent沿条形中心线匀速行进。因为系统是对称的,我们自然会期望一个最优的解决方案,具有最大的面积覆盖,这是对称的和有序的。然而,一般来说,我们发现最优解本质上是不对称和随机的,违背直觉。我们开发了一种算法来获得这些解,并发现这些最优解远远优于有序排列和随机结构。所得结论对其他采用三维圆锥探测技术的传感器模型的平面投影也是有效的。
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