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Dang, X.F., Ma, K., Chen, B.X. and Yang, M.L. (2016) Direction of Arrival Esti-mation for Monostatic MIMO Radar Using Reduced-dimension RISR Algorithm. 11th International Symposium on Antennas, Prop-agation and EM Theory (ISAPE), Guilin, China, 18-21 October 2016, 607-611.

has been cited by the following article:

• TITLE: Parameter Estimation of Maneuvering Target Using Maximum Likelihood Estimation for MIMO Radar with Colocated Antennas

  AUTHORS: Hai Li, Ling Xu, Zhe Zhang

  KEYWORDS: MIMO Radar, Parameter Estimation, Maximum Likelihood Estimation

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.3, March 13, 2017

  ABSTRACT: The estimation of target parameters in MIMO radar signal processing is one of the most important research topics. An efficient implementation of the Maximum Likelihood estimator is presented in this paper to estimate the DOA (Direction of Arrival), initial velocity and acceleration of a maneuvering target in colocated MIMO radar. The target’s DOA is estimated in the first place, then a Maximum-Likelihood (ML) estimation based on peak search is applied to a two-dimensional grids providing estimation of initial velocity and acceleration. Simulations show that the MIMO radar has a better performance in DOA estimation than the phased array radar. By means of Monte Carlo simulations, the estimation error of initial velocity and acceleration on different SNRs are calculated. The results also suggest the effectiveness of this method.