Based on the concept of diversity gain

MIMO (Multiple Input Multiple Output) radar has obvious advantages over phased array radar in target detection

parameter estimation

multi-target discrimination and interference identification and suppression. Angle estimation is the core of parameter estimation and also the prerequisite for radar to locate and track spatial targets. A high-resolution and low computational complexity 2-D DOD (Two Dimensional Direction-of-Departure) and 2-D DOA (Two Dimensional Direction-of-Arrival) estimation algorithm based on double L-shaped arrays for bistatic MIMO radar is presented. By performing the eigen-decomposition of the matched array data

the array manifold can be estimated. Furthermore

we can obtain the closed-form solution of the 2-D DOD and 2-D DOA. The proposed method has similar estimation performance with 2-D ESPRIT (Two Dimensional Estimating Signal Parameters via Rotational Invariance Techniques) and the computational complexity is about one third of it. The estimated 2-D DOD and 2-D DOA could be paired automatically. Numerical simulation results show that the proposed method achieves a high-precision four dimensional angle estimation with low computational complexity.