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Performance Analysis of a New Decoding Technique for Mimo and Mimo- Ofdm Communication Systems
Advanced wireless communication systems are expected to support high data rates and reliable transmission. A key technology that achieves the required high spectral efficiency is the application of Multiple-Input Multiple-Output-Orthogonal Frequency Division Multiplexing techniques. MIMO systems use multiple transmit antennas to send a signal to the multiple receive antennas exploiting multipath propagation. The OFDM technique is applied to combat the frequency-selective fading environments and to increase the data rates The essential techniques used by MIMO to improve the performance of the wireless communication systems are spatial multiplexing and space time coding. In this thesis, I investigate and develop a signal detection and decoding technique called parallel processing decoding algorithm. The technique uses BPSK and QPSK modulations in Rayleigh flat fading environments and frequency-selective fading channels. Using a parallel decoding algorithm, the receiver can extract all received symbols independently and simultaneously. This technique increases processing speed and prevents error propagation at the receiver, present in other decoding techniques. The key advantages of parallel both a higher channel capacity and a better signal to noise ratio, are achieved. Also, it was seen that the bit error probability, BER, of the proposed decoding method decreases dramatically with increasing the difference between receive and transmit antennas number.
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