Research On Adaptive Target Tracking Algorithmfor MIMO Radar

With the increasing complexity of the war environment,various new system radar are emerging,and MIMO radar is the most typical one among all radars.In general,MIMO radar can be divided into two types: the distributed MIMO radar and the collocated MIMO radar.The distributed MIMO radar is the system that the transmit antennas are located far apart from one another relative to their distance to the target,and enjoys the ability of the spatial diversity,and the radar is also called statistical MIMO radar or space diversity radar.In contrast,the collocated MIMO radar is the system that the transmit antennas are located close to each other relative to the target,which the subarray transmits orthogonal waveforms to realize waveform diversity.Limited to current technical conditions,the distributed MIMO radar is difficult to implement in practice,and the collocated MIMO radar is more practical,which is the focus of this paper.1.Introduced the target tracking algorithms,which include Kalman filtering algorithm,Singer model filtering algorithm and IMM filtering algorithm.And the simulation results show that the performance of the IMM filtering algorithm is better than the Singer model filtering algorithm for non-maneuvering target;However,for maneuvering target,the performance is weaker than the Singer model algorithm;and the maneuvering parameters of the Singer model are more important for the results.For more complex scenarios,combining the Singer model with the IMM filtering algorithm can obtain better performance.2.For single target tracking,firstly,introduced the adaptive sampling period tracking algorithm of traditional phased array radar: the prediction error covariance threshold method,the formula method and a fast adaptive sampling period method.Then the fast adaptive tracking algorithm for collocated MIMO radar is proposed,which based on target parameter estimation.Finally,compared the fast adaptive algorithm of collocated MIMO radar with the prediction error covariance threshold method,and applied the fast adaptive algorithm to the traditional phased array radar.The simulation results show that the collocated MIMO radar saves system resources and improves system resource utilization compared with traditional phased array.And the calculation speed of the collocated MIMO radar fast adaptive target tracking algorithm is much faster than the prediction error covariance threshold method's and the system resources consumed are relatively less.3.Studied the multi-target adaptive target tracking of collocated MIMO radar.The multi-target tracking algorithm based on fixed analysis time for collocated MIMO radar and the multi-target tracking algorithm based on variable analysis time for collocated MIMO radar are proposed.The former has a fixed sampling period,and the latter considers the variable sampling period for the maneuvering target.The simulation results show that the multi-target tracking algorithm of collocated MIMO radar can guarantee the tracking accuracy of targets,and effectively reduce the radar system resource consumption.Thus,improve the time resource utilization of the radar.4.Studied the multi-target tracking algorithm for collocated MIMO radar with simultaneous multibeam.In this paper,two multi-target tracking adaptive algorithms for collocated MIMO radar with simultaneous multi-beam are proposed,which include the multi-target tracking adaptive algorithm based on fixed sampling period and the multitarget tracking adaptive algorithm based on variable sampling period.The simulation results show that the two algorithms can work adaptively according to the target tracking condition with simultaneous multi-beam.The target tracking accuracy can be ensured while minimizing the system resources consumption.