Application of particle filtering in single observer passive location
A simple regularized particle filtering is described. Particle filtering is successfully introduced into single observer passive location. It is shown that the standard particle filtering in this case suffers from sample impoverishment seriously. This simple regularized particle filtering can overcome this phenomenon, and simulations show that this algorithm can shorten the time of location and improve the precision.