In order to study the nonlinear filter tracking problem of dynamic acoustic array in colored noise environment,
the deterministic core particle swarm particle filter algorithm is proposed. The accuracy of the maneuvering target tracking is obviously enhanced by initialized deterministic core particle, deterministic probability density function and the renewed method of particle swarms and core particle, and the Cram´er Rao low bound(CRLB) is also deduced. Compared with the traditional particle filter algorithm, the simulation results show the effectiveness and superiority of the presented algorithm.