Algorithms for DOA Estimation
Numerous algorithms exist for DOA estimation, with the enhanced ESPRIT algorithm now being preferred as it enables both more efficient angle estimation and improved accuracy.
Maximum Likelihood Alternating Projection Iterative Method for Signal DoA Estimation
Implementation of Direction-of-Arrival (DoA) estimation using Maximum Likelihood Alternating Projection iterative method - a highly practical approach with MATLAB/Python implementation considerations
DOA Estimation with Seven Array Elements and Four Signal Sources in Communication Signal Processing
DOA estimation in communication signal processing using seven-array element configuration with four signal sources, implemented through CAPON, MUSIC, and ESPRIT methods with code implementation insights
SSF Subspace Fitting Algorithm Program for DOA Estimation in Beamforming
Implementation of the SSF Subspace Fitting Algorithm for Direction of Arrival (DOA) Estimation in Beamforming Systems
Fundamental MUSIC Algorithm in DOA Estimation: Problematic Implementation and Improved Version
Two fundamental MUSIC algorithms for DOA estimation: one containing implementation issues and an improved version addressing these limitations, providing significant learning value for signal processing engineers and researchers through practical code-level analysis.
Direction of Arrival Estimation Using Uniform Linear Arrays
DOA estimation using uniform linear arrays with implementation details for spatial smoothing, Toeplitz matrix method, and MUSIC algorithm
Variants of the MUSIC Algorithm
Variants of the MUSIC algorithm based on dynamic signal-to-noise ratio (SNR) for Direction of Arrival (DOA) estimation, with implementation considerations for subspace decomposition and peak detection.
MIMO Algorithm Source Code for DOA Estimation with Multi-path Considerations
Source code implementation of MIMO algorithm for DOA estimation, incorporating both transmitter and receiver multi-path scenarios
DOA Estimation (Direction of Arrival Estimation) in Radar Systems
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.
DOA Estimation for Coherent Distributed Sources Using Generalized MUSIC Algorithm
Direction of Arrival (DOA) Estimation for Coherent Distributed Signal Sources Based on Generalized MUSIC Method with Algorithm Implementation Details