Particle swarm optimization for radar target recognition and modeling

Ismail Jouny

doi:10.1117/12.779092

14 April 2008 Particle swarm optimization for radar target recognition and modeling

Ismail Jouny

Proceedings Volume 6967, Automatic Target Recognition XVIII; 69670K (2008) https://doi.org/10.1117/12.779092
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Ismail Jouny "Particle swarm optimization for radar target recognition and modeling", Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670K (14 April 2008); https://doi.org/10.1117/12.779092

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