Signal and Information Processing - Array Signal Processing DOA Estimation

Signal and information processing represents a comprehensive field encompassing specialized areas such as array signal processing and Direction of Arrival (DOA) estimation techniques. Array signal processing involves sophisticated algorithms designed to handle signals captured by multiple sensors, enabling critical applications including signal direction extraction and beamforming operations. DOA estimation methodologies focus on determining the incident direction of incoming signals, typically implemented through MATLAB algorithms that leverage array manifold vectors and covariance matrix computations for spatial spectrum estimation. Furthermore, advanced sparse decomposition algorithms provide effective solutions for processing linear frequency modulation (LFM) signals by representing them in overcomplete dictionaries, while the Wigner-Ville distribution serves as a fundamental tool for analyzing signal characteristics in the time-frequency domain through quadratic time-frequency representations.