Explore MATLAB source code curated for "线性调频信号" with clean implementations, documentation, and examples.
A complete and functional implementation of Fractional Fourier Transform for Linear Frequency Modulated (LFM) signals using Pei's sampling algorithm. LFM signals exhibiting broadband characteristics in the Fourier domain transform into narrowband features in the fractional Fourier domain, enabling refined spectral analysis.
MATLAB simulation of radar Linear Frequency Modulated (LFM) signals with verified implementation, suitable for beginners in radar signal processing with detailed code-level explanations
MATLAB code implementation for radar signal ambiguity functions, including Linear Frequency Modulated (LFM) signals, LFM pulse train signals, and single-frequency signals as reference. The comparative analysis demonstrates distinct characteristics of ambiguity functions for different signal types, with code showcasing signal generation, correlation processing, and Doppler-tolerant properties evaluation.
Implements accurate reconstruction of non-uniformly sampled chirp signals through two main components: non-uniform sampling of chirp signals using customizable sampling intervals, and reconstruction algorithms involving interpolation and signal processing techniques for precise recovery.
Short-Time Fourier Transform analysis of linear frequency modulated signals with implementation insights for signal processing applications in communications, radar, and audio processing.
MATLAB code and technical explanation for linear frequency modulated (LFM) signal pulse compression - a fundamental signal processing technique widely used in Synthetic Aperture Radar (SAR) systems
Two MATLAB programs are provided: one implements the Fractional Fourier Transform (FRFT) algorithm, while the other applies FRFT for linear frequency modulation (LFM) signal detection. The core algorithm performs fractional Fourier transforms with varying orders (different fractional domains) on observed signals, creating a 2D energy distribution in the time-frequency plane. By conducting threshold-based 2D peak search on this distribution, the method detects LFM signals and estimates their parameters through峰值 analysis and parameter extraction techniques.
Signal Decomposition-Based Fractional Fourier Transform Function enables FRFT implementation for linear frequency modulated signals with optimized computational efficiency
MATLAB simulation program for computing the cyclic autocorrelation function envelope of LFM signals based on cyclostationary theory, including algorithm implementation and signal analysis techniques
MATLAB simulation for generating radar linear frequency modulation signals with visualization of time-domain waveforms, amplitude-frequency characteristics, and phase-frequency diagrams. Implementation includes spectrum analysis, modulation effect evaluation, windowing functions, and filtering operations for signal optimization.