Abstract: In order to improve real-time and reduce communication costs in wireless sensor network tracking,distributed adaptive particle filtering(DAPF) in binary wireless sensor network was proposed,in which only filtering value and error variance need to be transmitted between cluster heads,meanwhile number of particles is online adjusted according to filtering variance to decrease computation amount．Simulation research was done in aspects of time-consuming,root mean square error(tracking precision) and communication amount.The results indicate that DAPF has obviously less time-consuming and communication amount than centralized particle filter and distributed particle filter,and the rate of change of root mean square error is tinily affected by number of particle.

Key words: Adaptive particle filter,Binary wireless sensor network,Target tracking