Explore MATLAB source code curated for "程序仿真" with clean implementations, documentation, and examples.
This program implements a comprehensive Kalman filter simulation for trajectory estimation, featuring velocity and acceleration measurements in the observation vector with a three-dimensional information matrix. The complete and validated implementation demonstrates practical state estimation techniques suitable for colleagues learning Kalman filter applications.
Simulation of a typical compressed sensing program using wavelet basis as the sparse representation and Orthogonal Matching Pursuit (OMP) as the reconstruction algorithm, with implementation details on signal sparsification and iterative recovery.
This program simulates the 3DT dimension-reduction algorithm in Space-Time Adaptive Processing (STAP) and compares its performance with optimal space-time processing results through MATLAB-based implementation with detailed algorithm analysis.
MATLAB simulation program for QAM modulation with clear implementation logic, enabling users to learn MATLAB programming techniques while understanding communication modulation technology. Includes practical code examples demonstrating constellation mapping, signal generation, and demodulation processes.
Target tracking and localization research for underwater communication systems, typically implemented through MATLAB program simulation with algorithm testing and performance evaluation
Non-Uniform Fourier Transform - This program simulates the Fourier transform for non-uniformly sampled signals, implementing irregular sampling spectral analysis through algorithmic computation.
This simulation demonstrates OFDM peak-to-average power ratio reduction using predistortion technique, comparing constellation diagrams with and without predistortion. The implementation uses QAM mapping and shows significant performance improvement. The code includes signal generation, predistortion algorithm application, and constellation visualization.
This program simulates outage probability performance for various intermediate forwarding protocols across different channel environments, providing quantitative analysis of system reliability under diverse transmission conditions.
This program provides a comprehensive Kalman filter simulation for target trajectory estimation, specifically enhanced with multi-sensor observations including range, velocity, and acceleration measurements. The implementation features a complete state-space model with proper noise covariance matrices, making it an ideal educational resource for colleagues familiar with Kalman filtering principles.