Research on Optimal Search region Partition and Performance Algorithm of Phased Array Radar for NSHV

Aiming at the problem that radar adopts traditional search strategy, which leads to waste of time and resources and degradation of NSHV(Near Space Hypersonic Vehicle) detection performance. This paper proposes a phased array radar region partition search performance optimization algorithm for NSHV. First, we analyze the process of radar detection of NSHV, and give three radar search strategies. They are whole region search strategy, key region search strategy divided according to the lateral maneuverability of NSHV, and region partition search strategy for air defense missions. Then we established target model with the maximum cumulative detection probability, solve the model by the Lagrangian multiplier method, and obtain the optimal time resources allocated to each sector. Finally, simulation proves that when the search load is greater than 0.4, compared with the traditional whole region search strategy, the algorithm improves the detection performance. Compared with the key region search strategy, this algorithm takes into account other sector searches while ensuring the capture of NSHV.