Radar target detection method based on particle filter theory under correlated non-Gaussian clutter backgrounds

It is not easy to establish statistical detection model under correlated non-Gaussian clutter backgrounds when parameter is stochastic or unknown. Based on the particle filtering, the proposed method calculates the likelihood function by transforming the integral operation to the sum operation according to the probability distribution function of unknown parameter, and a general radar target likelihood-ratio detection model is established. This method resolves the difficulties that it is almost unable to establish statistical detection model under correlated non-Gaussian clutter backgrounds. Simulations show that the detection performances of the proposed method are better than the traditional method under both the correlated Gaussian clutter and correlated non-Gaussian clutter backgrounds.