Explore MATLAB source code curated for "DOA估计" with clean implementations, documentation, and examples.
This improved MUSIC algorithm for Direction of Arrival (DOA) estimation in smart antenna systems demonstrates superior performance with enhanced accuracy and computational efficiency, making it suitable for complex wireless signal processing applications. The algorithm implementation involves advanced signal processing techniques and statistical analysis methods.
The Capon method in Direction of Arrival (DOA) estimation, essential for academic papers and technical implementations, with algorithm explanations and code-related insights.
This content focuses on greedy algorithms for compressed sensing, specifically using Orthogonal Matching Pursuit (OMP) for Direction of Arrival (DOA) estimation, primarily applied in array signal processing applications.
Implementation Code for DOA Estimation Based on the MUSIC Algorithm with Array Signal Processing Techniques
MATLAB source code implementations for Direction of Arrival (DOA) estimation using linear arrays, featuring CBF (Conventional Beamforming), Capon (Minimum Variance), MUSIC (Multiple Signal Classification), ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques), and ML (Maximum Likelihood) algorithms with comprehensive code explanations and performance comparisons.
Comparative analysis of DOA estimation with uniform linear arrays (ULA) and uniform circular arrays (UCA), highlighting UCA's uniform 360-degree azimuth resolution. Features detailed code annotations for algorithm implementation, including key functions for signal processing and direction finding.
Provides MATLAB routines for DOA estimation with ESPRIT algorithm and smart antenna simulations, including implementation details for signal processing applications.
A comprehensive Capon algorithm implementation for Direction of Arrival (DOA) estimation, originally developed for graduation thesis. Features fully functional code with detailed inline comments explaining each operation, clear algorithm-to-code mapping, and robust implementation ensuring correct results. The MATLAB implementation (.m files) includes partial code samples, while complete code resides in WORD document with comprehensive algorithm explanations.
MVP, an improved weighted subspace fitting (WSF) algorithm, designed for direction of arrival (DOA) estimation with enhanced noise robustness and computational efficiency.
DOA Estimation: 2D Direction (Azimuth and Elevation Angle) Scanning, Steering Vector Calculation for Point Sources Using Square Arrays, and Array Signal Processing