The Application of Particle Filter Algorithm to Single-station Passive Location

Single-station passive location is a hot topic in target tracking research.This paper firstly proposes the technique of single-station passive location by adding observation information,which is bearing and joint location method of Doppler frequency,the principle of the technique is dealt with and analyzed,and then based on the background of remote moving targets observed by moving platform on the sea,the primitive localization result is processed by introducing a new filter method-particle filter algorithm(PF) for weakening the influence of survey noise and enhancing the precision of localization.The PF algorithm was proved effective and high accurate by simulation result.