Abstract:
A well-defined characterization of the distortions in the wireless signal after affected by noise is analyzed to improve channel estimation and increase detection robustness. The Bit Error Rate (BER) and Signal to Noise Ratio (SNR) of the wireless signal under Rayleigh fading channel has been examined. Simulations confirmed the comparison of BER curves for Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift keying (QPSK) from Adaptive White Gaussian Noise (AWGN) channel model
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and Telecommunication Engineering of East West University, Dhaka, Bangladesh
