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.
Highlights
The Multiple-Input Multiple-Output (MIMO) Radio Transmission Technology, has the potential to enhance system capacity and improve spectral efficiency without requiring extra emission signal bandwidth or transmission power [1] [2]
It is known that spatial resolution can be improved by taking advantage of coherent processing introduced by coherent MIMO radar
Initial velocity searching range is from 0m / s to 40m / s, acceleration searching range is from 70m / s2 to 130m / s2, the step for searching of initial velocity and acceleration are set to 0.25 m / s and 0.05m / s2, respectively
Summary
The Multiple-Input Multiple-Output (MIMO) Radio Transmission Technology, has the potential to enhance system capacity and improve spectral efficiency without requiring extra emission signal bandwidth or transmission power [1] [2]. While distributed MIMO radars, known as non-coherent MIMO radars, whose antennas are placed far from each other [4]. The latter configuration exploits the random fluctuation of the targets’ Radar Cross Section (RCS). This fluctuation causes spatial decorrelation between target echoes, which prevents coherent processing. This paper considers parameters estimation of maneuvering target in colocated MIMO radar by developing a maximum-likelihood estimator. Numerical results demonstrate that MIMO radar has better angle estimation performance compared with conventional phased array radar and verify the effectiveness of this method as well
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