GPS Baseband Acquisition Model with Parallel Code Phase Search
A comprehensive GPS baseband acquisition model developed using SIMULINK, implementing parallel code phase search acquisition method with modified P-code signal source configuration
Design and Simulation of OFDM Communication System in Simulink
Implementation of an OFDM communication system featuring signal source generation, Reed-Solomon (RS) encoding, signal modulation, OFDM modulation system with cyclic prefix insertion, serial-to-parallel conversion, cyclic prefix removal, OFDM demodulation system, channel estimation techniques, signal demodulation, and convolutional decoding. Comprehensive simulation and validation of individual subsystem modules followed by integrated system testing to ensure proper functionality.
BPSK Modulation and Demodulation Implemented in Simulink with PN Code Spreading
Implementation of BPSK modulation and demodulation in Simulink using random signal sources combined with PN code spreading techniques, with final demodulated output showing high consistency with original random signals across various test scenarios.
DOA Estimation for Coherent Distributed Sources Using Generalized MUSIC Algorithm
Direction of Arrival (DOA) Estimation for Coherent Distributed Signal Sources Based on Generalized MUSIC Method with Algorithm Implementation Details
DOA Estimation Using MUSIC Algorithm with 1D Linear Array
MUSIC algorithm implementation for Direction of Arrival (DOA) estimation using a linear array configuration with 3 signal sources and 8 receiving elements, featuring comprehensive code-level implementation details
Power Spectral Density Simulation Comparison
This program performs power spectral density simulation comparisons using three signal sources described in "Introduction to Modern Digital Signal Processing" Volume 1, Page 202, Exercise 5. The implementation employs three spectral estimation methods: Periodogram method, Autocorrelation method, and Covariance method, with MATLAB code demonstrating different algorithmic approaches for spectrum analysis.
Basic Digital Communication System
Using MATLAB simulation software, this project implements a fundamental 16QAM digital communication system as shown in Figure 1. The system generates equally distributed random binary signals (0s and 1s), maps them to 16QAM constellation points, and separates the signal into in-phase (real) and quadrature (imaginary) components. Both components undergo root-raised-cosine (RRC) filtering, experience additive white Gaussian noise (AWGN) channel impairment, and pass through matched RRC filters. The final stage involves sampling, decision-making, and comparison with original signals to calculate the bit error rate (BER) for the 16QAM digital system.