Based on GA and azimuth constraint radar multi-target recognition

摘要

In the study field of using HRRP for radar multi-target recognition, besides the azimuth angle, target species, numbers, degree of aliasing are influencing the change of HRRP, which makes HRRP templates number increase exponentially. Accordingly, it is very difficult to classify the sample by using conventional matching method in a short time. This article introduces the genetic algorithm to solve this puzzle. By taking advantages of the characteristics of self-evolution of the genetic algorithm, we can get a convergence result. At the same time, we also propose a constraint-based radar azimuth information search algorithm which will further improve the efficiency of radar multi-target recognition.