Optimal Search Algorithm for Phased Array Radar without Indication Information
Zhenkai Zhang, Jiehao Zhu, Hailin Li · 2014
A new search algorithm for phased array radar which is based on radio frequency stealth is proposed in this paper. When there is no indication information, parameters including the dwelling time and the average power are optimized by sequential quadratic programming (SQP), and a minimum energy cost model is set up by using Grey Relational Grade (GRG). The surveillance area is divided into several subareas according to the elevation angle. The radar can radiate adaptively according to the different priorities. Compared with other search algorithms, the simulation results show that our algorithm can consume less energy and provide better performance in term of radio frequency stealth and detection.