Abstract
In this paper, a novel independent partition Rao-Blackwellized particle filter (IPRBPF) is proposed to estimate the moving target parameters in MIMO radar. Firstly, noticing that the likelihood function is a nonlinear function of the nonlinear position parameters, and that the target motion equation is a linear function of linear parameters such as velocity, acceleration and etc. The nonlinear particle filter is proposed to estimate the nonlinear position parameters and the linear Kalman filter is proposed to estimate the linear parameters. Then a new MIMO radar parameter estimation algorithm based on Rao-Blackwellized particle filter is obtained. Furtherly, considering that the computational complexity will increase dramatically with the targets’ state dimension in the case of multiple targets, the independent partition sampling is put forward to improve the performance of our algorithm, then the IPRBPF algorithm is obtained. Compared with the existing methods, the proposed algorithm can achieve the lower computational complexity and the higher accuracy of parameter estimation. Simulation results demonstrate the advantages of the proposed algorithm.
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