Particle swarm optimization for radar target recognition and modeling

This paper proposes a radar target identification system using down range profile radar signatures. The recognition is performed using a multi-layer perceptron trained via particle swarm optimization (PSO). The recognition results are compared with those obtained using back propagation training. The paper also uses PSO for modeling target signatures and extracting target scattering centers assuming that they can be modeled as an auto regressive moving average model. Real radar signatures of commercial aircraft are used to assess the performance of the techniques proposed. The results focus on comparing PSO based techniques with others used for target modeling and recognition.