13-bit Barker Code Simulation
13-bit Barker Code Simulation Program with Algorithm Implementation Details
Definition of Communication Frame Format with MATLAB Implementation
Defines communication frame format with MATLAB implementation featuring customizable Barker code length and sliding correlation method for frame acquisition at the receiver
Pulse Compression Processing of Biphase Coded Signals
ex9_12 Pulse Compression Processing of Biphase Coded Signals - 13-bit Barker code implementation for radar pulse compression with excellent autocorrelation function properties, demonstrating high-quality pulse compression results
Pulse Compression Radar Signal Processing with Binary Phase-Coded Barker Codes
Simulation of Barker Code Compression Radar Signal Processing in Binary Phase-Coded Pulse Compression Radar Systems
13-Bit Barker Code + Linear Frequency Modulation Signal
This implementation combines a 13-bit Barker code with a linear frequency modulation (LFM) signal, processes it through pulse compression, and includes intermediate demodulation stages.
Barker Code (1110010) Group Synchronization Pattern Recognizer
This program implements a recognition system for Barker code (1110010) used as group synchronization pattern, featuring binary sequence parsing and correlation-based detection algorithms.
Ambiguity Function of Barker Code
Ambiguity function analysis for Barker codes, linear frequency modulated (LFM) signals, single pulse signals, pulse train signals, and PRN codes with implementation considerations
Simulation of Barker Code and Linear Frequency Modulated Hybrid Radar Signals
Simulation of Barker Code and Chirp Modulation Hybrid Radar Signals with Code Implementation Details
Analysis and Visualization of Ambiguity Functions for Various Signal Types
This source code implements comprehensive ambiguity function analysis and plotting capabilities for multiple signal types, including tested implementations for Barker codes, linear frequency modulated (LFM) signals, and pulse signals with configurable parameters.
Construction and Visualization of Ambiguity Functions for Arbitrary Signals
Implementation of ambiguity function computation and plotting for arbitrary signals, with successful testing on Barker codes, linear frequency modulation (LFM) signals, and pulse signals. Includes MATLAB-based algorithmic implementation for time-frequency analysis and signal characterization.