Abstract:

This paper proposes an improved auxiliary particle filter algorithm and utilizes the method of conventional beam forming (CBF) to deal with the signal function of acoustic sensors, then the spectrum bearings of the target can be estimated, which can be used as the importance sampling density function in auxiliary particle filter. So the improved current statistical model adaptive tracking algorithm is proposed based on the spectrum bearings of the target in auxiliary particle filter. Finally, it is showed through computer simulation that the algorithm has better efficiency in improving precision and real-time property.