Performance Analysis of ML-based DOA Estimation Algorithm in Bistatic MIMO Radar System

This paper proposes a new method to attain explicit expressions of some quantities associated with performance analysis of the maximum likelihood (ML) direction of -arrival (DOA) algorithm in the presence of an additive Gaussian noise on the antenna elements. The motivation for the paper is to make quantitative analysis of the ML DOA algorithm in the case of multiple incident signals. We present a simple method to derive closed-form expression of estimation error of DOA estimate based on the Taylor series expansion. We address the performance analysis of the ML angle-of-arrival (AOA) estimation algorithm in this paper. We discuss the estimation of azimuth of multiple incident signals using bistatic multiple input multiple output (MIMO) radar model. Based on the Taylor series expansion and approximation, we get explicit expressions of estimation error of all incident signals. The validity of the derived expressions is shown by simulation results.