Directional Patterns for Linear Arrays, Planar Arrays, and Circular Arrays
Directional patterns for linear, planar, and circular arrays, featuring polar coordinate plots and 3D visualizations with implementation examples
Explore MATLAB source code curated for "方向图" with clean implementations, documentation, and examples.
Directional patterns for linear, planar, and circular arrays, featuring polar coordinate plots and 3D visualizations with implementation examples
MATLAB implementation for analyzing radiation patterns of uniform linear arrays and 2D radiation patterns of uniform circular arrays with comprehensive code descriptions
Custom implementations for visualizing radiation patterns of uniform circular arrays and rectangular arrays, featuring code-based approaches for accurate geometric configuration and pattern calculation.
Implementing radiation pattern visualization for uniform linear arrays and uniform circular arrays through MATLAB programming with parameter configuration and pattern calculation methodologies
This method for circular arrays provides adaptive beam patterns, multiple projection plane diagrams, and 3D visualizations in two coordinate systems with implementation details for signal processing algorithms.
Beam Downtilt Pattern Program for Omnidirectional Antennas using Uniform Linear Array (8-element) with Axial Arrangement; Direction of Arrival (DOA) Estimation
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.
MATLAB code implementation for uniform linear antenna arrays, dipole arrays, and monopole antenna radiation patterns with configurable input parameters for dynamic pattern analysis and visualization
This MATLAB simulation program implements the Linearly Constrained Minimum Variance (LCMV) algorithm for smart antenna systems, featuring user-friendly operation with instant radiation pattern visualization upon execution. The code demonstrates adaptive beamforming techniques with practical implementation details.
Simulation of phased array antenna pattern with Chebyshev weighting is a crucial step in clutter simulation, where its accuracy determines how closely simulated clutter approximates real clutter environments. Implementation typically involves array factor computation using Chebyshev polynomials to achieve controlled side lobe levels.