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This document provides comprehensive simulation of the complete communication chain, covering modulation, spreading, transmission, reception, despreading, and demodulation processes. The implementation includes generation of random time-varying multipath channels that realistically model signal propagation effects.
Detailed simulation of frequency hopping communication system including comprehensive spread spectrum and despreading processes with code implementation insights
Comprehensive simulation of spread spectrum communication systems including complete signal modulation, demodulation, and despreading processes in a full communication chain
This program simulates the CDMA receiver functionality including five modules: despreading, deinterleaving, channel decoding (convolutional code), source decoding, and CRC decoding, generating signal sequences for digital baseband transmission. It also simulates the CDMA transmitter functionality with six modules: random sequence generation, tail bit addition for source coding, channel encoding (convolutional coding), block interleaving, and spread spectrum modulation, producing signal sequences for digital baseband transmission. Additionally, it includes tail bit values for demodulation - add_bits for source coding and i_add_bits for interleaver termination.
A MATLAB program for CDMA downlink demodulation implementing signal despreading, featuring code-based demonstrations of correlation operations and Walsh code utilization.
A direct sequence spread spectrum communication system with interference, where PN codes are generated using m-sequence generators and transmitted through an additive white Gaussian noise (AWGN) channel. The received signal at the receiver comprises "useful signal + AWGN + interference." The system performs despreading and decision operations to recover user signals. Key implementation aspects include generating m-sequences using linear feedback shift registers (LFSRs), implementing correlation-based despreading algorithms, and employing threshold detection for signal decisions. The system demonstrates bit error rate (BER) performance versus Eb/N0 ratio under different spreading gains (10, 30, 50), showing how processing gain affects interference rejection capability.