Generation of Linear Frequency Modulation (LFM) Signals
Implementation of linear frequency modulation signal generation with algorithmic explanation
Explore MATLAB source code curated for "LFM信号" with clean implementations, documentation, and examples.
Implementation of linear frequency modulation signal generation with algorithmic explanation
The Linear Frequency Modulated (LFM) signal, as a typical non-stationary signal with large time-bandwidth product, is widely used in various information systems. From electronic warfare and electronic countermeasures perspectives, LFM signals are commonly employed to resolve the contradiction between operating range and range resolution while enhancing signal concealment. The detection and parameter estimation of LFM signals have become key research focuses in electronic warfare. This MATLAB implementation utilizes Fractional Fourier Transform (FRFT) for accurate LFM parameter estimation, featuring complete code examples with operational results demonstrating effective signal processing capabilities.
Detection of radar echo signals using LFM signals, pulse compression, MTD, coherent integration, long-term integration, addressing range migration and velocity ambiguity
Generation of LFM signals with comprehensive performance analysis, ambiguity function characterization, and matched filter output analysis for LFM signal reception
Comprehensive resources including program implementations and technical literature are available for LFM signal matched filters, featuring algorithm demonstrations and practical code examples.
Matched filter for Linear Frequency Modulated (LFM) signals, used for radar range detection with implementation insights on correlation-based signal processing
This simulation code demonstrates Linear Frequency Modulated (LFM) signal parameter estimation through Wigner-Hough Transform (WHT). The implementation builds upon a time-frequency analysis package with customized modifications, featuring detailed algorithm design including signal generation, WHT computation, and peak detection for parameter extraction.
Programs for generating multiple radar signal types including binary phase coding, quadrature phase coding, and Linear Frequency Modulated (LFM) signals, featuring algorithmic explanations and MATLAB implementation examples.
Fractional Fourier Transform analysis of LFM signals, including generation of fractional order spectrograms, FrFt subroutine implementation, and peak search algorithms. Highly practical for signal processing applications.
MATLAB simulation program for computing the cyclic autocorrelation function envelope of LFM signals based on cyclostationary theory, including algorithm implementation and signal analysis techniques