| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 102 === Because the demand of high-throughput transmission grows in recent years, the multiple-input multiple-output (MIMO) has become a popular technique to increase the trans-mission throughput. Thus, design of a high-performance and low-complexity MIMO detector is an important issue. To improve the performance of a MIMO detector, lattice-reduction (LR) has been proposed to enhance the property of the channel matrix. On the other hand, iterative detector-and-decoder (IDD) becomes an effective technique to improve transmission performance by exchanging reliable information such as log
likelihood ratio between a detector and a decoder. This thesis focuses on combining the LR and IDD technique and devising an effective method to calculate the reliable
information. Although the proposed LRA detector does not adopt the reliable information produced by soft-input soft-output decoder in detection process, the performance of proposed LRA soft-output K-best detector has a better performance than those of the latest IDD algorithms and existing LRA soft-output detectors in high dimension MIMO systems. Finally, the proposed LRA soft-output K-best detector is implemented in TSMC 90nm 1P9M CMOS process and occupied 3.0674mm2 core area at its maximum frequency 133.3 MHz and maximum throughput 6.4G LLRs per second when 64QAM is applied.
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