Radar Echo Imaging and Pulse Compression
MATLAB-based radar echo imaging and pulse compression implementation with signal processing algorithms.
Linear Frequency Modulation (LFM) Signals
MATLAB implementation of Linear Frequency Modulation (LFM) signals, pulse compression techniques, and radar signal simulation with code examples and algorithm explanations
Radar Pulse Compression Simulation with GUI and Source Code
Radar pulse compression simulation program featuring GUI development source code, one-dimensional range profile generation, matched filtering, and comparative illustrations of various windowing functions with MATLAB implementation examples
Echo Signal Simulation for Ideal Point Targets Using Pulse Compression
This simulation program generates echo signals from ideal point targets and implements pulse compression through frequency-domain correlation methods, leveraging FFT for computational efficiency. The implementation includes radar signal processing algorithms with MATLAB/Python code structures for waveform generation, matched filtering, and resolution enhancement.
Array Antenna Beamforming and Radar Signal Processing Techniques
Radar coursework covering array antenna beamforming, pulse compression, MTI filter design (3-pulse canceller with staggered PRF), non-coherent integration, constant false alarm rate (CFAR) processing, and sum-difference beam analysis. Includes MATLAB implementation examples for key algorithms.
Synthetic Aperture Radar Simulation
Synthetic Aperture Radar simulation source codes including chirp signal generation, echo simulation, pulse compression, range cell migration correction, and range-Doppler algorithm implementations - providing a systematic learning resource for SAR simulation with detailed code-level explanations.
MATLAB Implementation of Linear Frequency Modulated Signal Pulse Compression for Synthetic Aperture Radar
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
Range Equation, Chirp Signals, Radar Waveforms, Moving Target Indication, Pulse Compression
MATLAB implementations for range equation analysis, linear frequency modulation (chirp) signal generation, radar waveform design, moving target indication (MTI) techniques, pulse compression algorithms, coded waveform optimization, pseudorandom sequence generation, synthetic aperture radar (SAR) processing, and radar cross section (RCS) computation.
Key Issues in Pulse Compression for Radar Linear Frequency Modulation (LFM) Signals
This MATLAB-based simulation analyzes critical aspects of pulse compression using Linear Frequency Modulation (LFM) signals in radar systems. The implementation includes code modules demonstrating sidelobe suppression effects (with and without windowing functions), Doppler frequency shift impacts, and comparative analysis between time-domain and frequency-domain pulse compression results. These simulations provide technical professionals with practical insights into algorithm performance under varying operational conditions.
Radar Pulse Compression Using Matched Filtering Technique
This document reports on radar systems implementing pulse compression through matched filtering with a sampling frequency of fs=420MHz, simulating radar echoes, and plotting pulse compression waveforms before and after Hamming window application. Additionally explores Dechirp-based pulse compression with reference distance at (0,0), 10MHz sampling frequency, and 512 range sampling points, including waveform comparisons with/without Hamming window.