MATLAB Algorithm for DOA Estimation in Array Signal Processing

In this article, we discuss signal and information processing, specifically focusing on MATLAB algorithms for Direction of Arrival (DOA) estimation in array signal processing. This implementation presents the complete source code for the Root-MUSIC algorithm, which offers significant practical value for researchers and engineers. Let's explore this algorithm in detail.

First, array signal processing refers to techniques that handle signals received from multiple sensors. DOA estimation constitutes a critical task that determines the direction of incoming signals. The MATLAB algorithm presented here enhances DOA estimation accuracy through its implementation of the Root-MUSIC method, which utilizes polynomial rooting techniques instead of spectral peak searches for improved computational efficiency.

The Root-MUSIC algorithm represents an advanced direction estimation approach based on spectral analysis principles. It demonstrates robust performance even under low signal-to-noise ratio conditions by exploiting the eigenstructure of the covariance matrix. The provided source code includes key functions for signal covariance calculation, eigenvalue decomposition, and polynomial rooting operations, offering clear insights into the algorithm's implementation methodology.

Therefore, this MATLAB algorithm serves as a valuable tool for array signal processing applications, significantly improving DOA estimation precision. Researchers can leverage this implementation as a fundamental component in signal processing workflows, enabling more efficient and accurate signal analysis through properly structured code architecture that handles sensor array configurations and signal subspace identification.