Finally, the proposed multi-carrier system, MC-CDMA, and OFDM, has been implemented in FPGA after written by VHDL Language implemented in Xilinx ISE 14.1 and used Virtex-4 FPGA board, should be identical or close to the output of Matlab software environments. Results achieved BER the best ratio around 91%, 83%, 78% compared with PSO, MMSE, LS algorithms respectively. Simulation results demonstrate that the proposed channel estimation of the MC-CDMA and OFDM systems can significantly provide better BER performance compared with other techniques at different modulation types, Signal to Noise Ratio (SNR) values, and channel length. The proposed channel estimator tested under fast fading channel in a multi-carrier communication system with and without interpolation methods. The simulation result of LS-PSO channel estimation use number particles for each single swarm used to find the best fitness solution is computed from the average BER value. The CE scheme based on a combination of Local Search and Particle Swarm Optimization Algorithm was proposed. The Channel Estimation (CE) expressions derived as the objective function to study the effect of perfect BER in MC-CDMA/OFDM for a frequency selective Rayleigh fading environment. This thesis introduces two important modifications in OFDM transceiver. However, channel estimation is a very important role in overcoming the effect of channel fading's which caused BER degradation and jamming pilot symbols. In general, several benefits Multi-Carrier systems emerging it as an attractive standard for various digital data over radio systems. Orthogonal frequency division multiplexing (OFDM) and Multi Carrier-Code Division Multiple Access (MC-CDMA) systems are examples of multi-carrier wireless communication. It becomes a great revolution in the wireless communication and mobile Internet as an accelerating need to transfer data such as voice, image, message, video that faster and less expensive and less complex. The large and rapid development in the field of communications today represents one of the biggest interests of researchers.
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