Abstract: The traditional maneuvering target tracking with single channel array system has low precision and bad real-time performance. In order to address these problems, a new method of maneuvering target direction of arrival (DOA) tracking for single channel array system is proposed in this paper. Firstly, we established a new frequency domain spatial-spectrum estimation modeling via controlling receive channel by radio frequency shift, this model only requires the array outputs to be sampled one at a time by a single receive channel. Based on this model, we build the tracking modeling. Then, by introducing particle swarm optimization algorithm into resample-move of Markov Chain Monte Carlo (MCMC) particle filter, we proposed Interacting Markov Chain Monte Carlo particle filter(PF) algorithm which can deal with both particle degeneration problem and sample impoverishment. Finally the time varing direction of arrival is estimated on time based on this algorithm. Theoretics analyse and simulation results show that method presented in this paper can realize joint direction of arrival tracking and beamforming for single channel array system. Besides, it can deal with coherent signals. Compared to Markov Chain Monte Carlo particle filter and subspace tracking methods, the proposed method in this paper has higher precision and speed of convergence.