Traditional Beamforming Methods and MUSIC Algorithm for DOA Estimation

In this paper, we present a simulation program that implements traditional beamforming methods and the MUSIC (Multiple Signal Classification) algorithm for Direction of Arrival (DOA) estimation of wideband signals. The program is designed to run on standard computers and provides comprehensive visualization capabilities to help users better understand how these algorithms operate. Our implementation includes code segments demonstrating signal preprocessing, covariance matrix computation, and spectral peak searching mechanisms. We will discuss the algorithmic advantages, including MUSIC's high-resolution capabilities for coherent signals, and limitations such as computational complexity requirements. The simulation incorporates practical considerations like array geometry configuration and signal-to-noise ratio (SNR) adjustments. Additionally, we propose potential enhancement strategies including computational optimization techniques and hybrid algorithm approaches. Through this detailed exposition, readers will gain deeper insights into both the theoretical foundations and practical implementations of these DOA estimation methods, along with their significance in real-world applications such as radar systems and wireless communications.