| Summary: | 碩士 === 國立中興大學 === 電機工程學系所 === 104 === With the increasing demand of multimedia services in wireless transmission nowadays, Multiple-Input Multiple-Output (MIMO) technologies are adopted in many standards to enhance the data rate and the link robustness. In order to reduce transmission power, we use OFDM-IM (Orthogonal Frequency Division Multiplexing With Index Modulation) scheme for the transmission scheme, to approach the demand for data transmission rates and error performance. OFDM-IM can use less subcarrier, but have same data rate of OFDM (Orthogonal Frequency Division Multiplexing),and reduce PAPR. (Peak-to-Average Power Ratio) on transmission schemes. At receiver side, in order to reduce computational complexity ,we can use the Log-Likelihood Ratio (LLR) to search which subcarrier is active. Exploit Turbo Equalization and Kalman Channel Estimation send a closer estimation back to update the equalizer parameters and to recover the original transmitted symbols. In the thesis, we use MIMO OFDM-IM adopt fading- channel on the transmission side. At receiver side we use LLR combine Turbo codes and Kalman Channel Estimation to get better performance. Simulation results will show that the performance of system and algorithm.
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