DOA Estimation (Direction of Arrival Estimation) in Radar Systems

Resource Overview

DOA estimation (Direction of Arrival estimation) stands as a fundamental theory in radar technology. This resource provides MATLAB source code implementations for DOA estimation based on the MUSIC (Multiple Signal Classification) algorithm and the Maximum Entropy Method. The code includes practical implementations with array signal processing techniques, parameter configuration options, and performance evaluation capabilities. These simulation tools were developed during my research and can be used for analyzing and testing various radar system configurations.

Detailed Documentation

In radar technology, Direction of Arrival (DOA) estimation represents one of the most critical theoretical frameworks. To facilitate better understanding and practical application of DOA estimation, I am sharing MATLAB source code implementing two distinct approaches: MUSIC algorithm-based DOA estimation and Maximum Entropy method-based DOA estimation. These codes feature comprehensive implementations including array signal processing techniques, covariance matrix computation, spatial spectrum estimation, and peak detection algorithms. The MUSIC implementation demonstrates high-resolution capability through eigenvalue decomposition of the covariance matrix and noise subspace utilization, while the Maximum Entropy method showcases its power spectrum estimation approach with entropy optimization. Developed during my simulation studies, these tools enable performance analysis and evaluation of different radar system configurations. By sharing these resources, I aim to contribute to the advancement of radar technology research and practical applications.