Extended target tracking algorithm based on improved Bernoulli filter

According to the requirement of high real-time target tracking extended clutter environment, and the problems that need to be addressed between nonlinear and area measurement, this paper proposes a singlarticle filter box. The first single for extended target Bernoulli model is briefly introduced, and then to implement single extended target Bernoulli filter is proposed by using partice extended target Bernoulli filtering algorithm based on ple filter box, extended target pseudo likelihood function and the state is established for the area measurement update equations, finally for extended target measurement determines the number of problems, put forward a kind of extension of interval form based on the measured number estimation method. Simulation results show that the algorithms proposed by our study could lead to significantly lower computational complexity with tiny effect on tracking performance.