DOA and DOD Estimation for MIMO Radar Using 2D-MUSIC Algorithm

This document discusses DOA (Direction of Arrival) and DOD (Direction of Departure) estimation for MIMO radar systems using the 2D-MUSIC algorithm. MIMO radar is a multiple-input multiple-output radar system capable of simultaneously transmitting and receiving multiple signals, enabling accurate estimation of target direction and range. The 2D-MUSIC algorithm extends the conventional MUSIC method to two-dimensional parameter estimation, providing enhanced angular resolution for both transmit and receive directions. In implementation, the algorithm typically involves constructing a covariance matrix from received signals, performing eigenvalue decomposition to identify signal and noise subspaces, and creating a 2D spectral function for peak detection. Key computational steps include signal covariance estimation using matrix operations like R = X*X'/N where X is the data matrix and N is the number of snapshots, followed by eigenvalue decomposition using functions such as eig() or svd() in programming environments. The spectral peak search then identifies DOA and DOD estimates by finding maxima in the 2D spatial spectrum. Thus, this approach demonstrates how MIMO radar systems achieve accurate directional estimation of targets through the application of the 2D-MUSIC algorithm, combining advanced signal processing techniques with multi-antenna system advantages.