Active and Passive Radar Target Fusion Recognition Method Based on Bayesian Network

Multi-sensor fusion recognition technology can make full use of the complementarity of information between sensors to reduce the influence of interference improves the success rate of target recognition, and has been widely used in the domain of radar target recognition. The multi-sensor fusion recognition methods that commonly used include Bayesian network, D-S evidence theory and so on, among which the Bayesian network has attracted extensive attention as not only it has a solid probability theory foundation but its structure and parameters can be learned. This paper proposes a fusion recognition method for active and passive radar target, the recognition results of active and passive radar targets are fused by the Bayesian network. The results show that the recognition success rate of using fusion recognition method based on Bayesian network is increased by 9.1%, 4.8% and 2.2% compared with that using recognition methods for only active radar target and only passive radar target and fusion recognition method based on D-S evidence theory, which proves the feasibility and effectiveness of the fusion recognition method based on Bayesian network.