| Summary: | 碩士 === 國立成功大學 === 電機工程學系 === 102 === In wireless communication systems, multiple-input multiple-output (MIMO) technique has been widely exploited to improve the transmission capacity and quality. In these of MIMO techniques, space-time block codes is a technique by combining the spatial diversity and channel coding to improve the reliability of transmission over fading channels. To recover efficiently the transmitted signals, the STBC detectors are deserved more and more attentions in recent years. In addition, the soft STBC detectors are also proposed to provide soft information for soft-decision forward error correction (FEC) decoders to improve system performance. Unfortunately, these STBC detector algorithms may cause performance loss due to fading channel with large time-selective decay. Therefore, a design of efficient STBC detector over time selective fading channel is one of challenge in future communication systems.
In this thesis, a modified ZF-ML STBC detector scheme with soft information is investigated in turbo-MIMO systems over time-varying channels. Based on an iterative detection and decoding process, the proposed STBC detector and turbo decoder can exchange soft information to iteratively improve system performance. Furthermore, some soft combining technique are applied to combine the soft symbol derived from a posteriori information of turbo decoder and ZF solution to enhance the reliability of soft information. According to simulation results, the proposed STBC detector with acceptable computational complexity can improve the system performance over time-selective channels.
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