Direct Position Determination Based on Maximum Likelihood under Non-uniform Noise

The direct position determination (DPD) algorithm based on maximum likelihood iteration is proposed under non-uniform noise. In this paper, the negative log-likelihood function of signal and noise covariance matrix is introduced, and the covariance matrix of array is reconstructed by iteratively solving the non-uniform noise covariance matrix, and the robust direct location is realized by subspace principle. Simulation results show that the proposed algorithm can accurately determine the target position with fewer iterations.