2D Music Algorithm for Signal Localization
2D Music Algorithm, MUSIC, DOA, TDOA, Signal Source Localization Techniques
MATLAB Implementation of DOA Estimation Algorithms
A collection of DOA estimation algorithms implemented in MATLAB, including MUSIC algorithm, Spatial Smoothing MUSIC, Root-MUSIC, ESPRIT algorithm, and MVDR (Minimum Variance Distortionless Response) algorithm, facilitating comparative analysis with code implementation details.
Frequency Estimation of Sinusoidal Signals in Noise using Pisarenko Harmonic Decomposition, MUSIC Algorithm, and ESPRIT Algorithm
This project implements frequency estimation of sinusoidal signals embedded in Gaussian white noise through three high-resolution spectral estimation methods: Pisarenko Harmonic Decomposition, MUSIC (Multiple Signal Classification) algorithm, and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) algorithm. The sinusoidal signal is defined with specific frequency components, while the additive white Gaussian noise has controlled variance. Using 128 data samples, the implementation involves: 1) Performing 20 independent trials with each algorithm to record frequency estimates and compute statistical mean and variance; 2) Analyzing algorithm performance under increasing noise power conditions to evaluate robustness and accuracy.
Classic Music Algorithm Implementation
Self-developed classic music algorithm with code implementation details