Direct Sequence Spread Spectrum transmission and reception using compression techniques

Abstract

This paper deals Direct Sequence Spread Spectrum (DSSS) transmission and reception using a compression technique. Text and binary signals are transmitted and received through DSSS. Also speech and image are transmitted and received using Huffman Compressive techniques. Discrete cosine transform that compresses speech and image signals through DSSS. The suggested methods are assessed with DSSS signals using Binary Phase-Shift-Keying modulation under Rayleigh channel fading and Additive white Gaussian noise (AWGN). The analysis has performed by comparing Bit Error Rate (BER) for different Signal-to-Noise-Ratio (SNR) levels of AWGN. The results indicate the better performance even for low SNR with good compression ratio.