Explore MATLAB source code curated for "圆阵" with clean implementations, documentation, and examples.
MATLAB-based directional pattern simulation tool for linear arrays, planar arrays, and circular arrays with comprehensive parameter configuration and visualization capabilities
Directional patterns for linear, planar, and circular arrays, featuring polar coordinate plots and 3D visualizations with implementation examples
MATLAB implementation of MUSIC algorithm for 2D DOA estimation with circular antenna arrays
Beamforming simulation featuring five array configurations: linear array, mainlobe-steered linear array, Chebyshev-weighted linear array, circular array, and planar array. Includes implementation details for array pattern generation and beamforming algorithms.
Simulation of radiation patterns using the Least Squares (LS) algorithm for 16-element cross arrays, linear arrays, planar arrays, and circular arrays, with relevant code implementation insights for students in array signal processing.
Linear arrays, circular arrays, cylindrical arrays, and spherical arrays for 3D beamforming patterns, along with binary and decimal (including fractional) conversion algorithms
MATLAB program implementing 2D MUSIC algorithm using 8-element uniform circular array with 3D visualization capabilities for azimuth and elevation angle estimation
This file contains MATLAB implementations for circular arrays, linear arrays, and planar arrays in array signal processing, featuring detailed algorithm explanations and practical code examples.
MATLAB programs for beamforming with linear arrays, planar arrays, and circular arrays. These implementations demonstrate the algorithmic process of beamforming and its underlying principles through practical code examples. The comprehensive content includes detailed explanations of key functions and implementation approaches.
Implementation of Root-MUSIC algorithm for sparse uniform circular arrays, including beamspace transformation, mapping techniques, and root-solving procedures with practical MATLAB code considerations