| Summary: | 碩士 === 國立臺灣科技大學 === 電子工程系 === 97 === Multiple-input multiple-output (MIMO) systems, which possess several merits such as higher spectral efficiency and transmission quality, are one promise to meet the rapidly growing demand of quality of service (QoS). With the assistance of spatial diversity provided by the multiple antennas the performance degradation caused by channel fadings can be greatly alleviated. However, the increase of wither the number of transmit or receive antennas in the wireless communication systems also incur higher hardware cost such as the RF chains associated with the antennas. One effective approach which strikes a better tradeoff between performance and hardware cost is the generalized selection combining (GSC), which combines the signals received by a set of a appropriately selected antennas at the receiver
In this thesis, we consider the GSC in the low-density parity check (LDPC) coded MIMO systems. The new approach has two distinctive features. First, the parallel information cancellation (PIC) is invoked to suppress the multiple access interferences before conducting the GSC. Second, in contrast to previous scheme which assumed the message are equally likely, we according to the turbo principle, combine the GSC and the channel decoding into an iterative structure. Therefore, the partial information is fed back to the diversity selection scheme after LDPC decoding so as to iteratively reconstruct the a priori log likelihood ratio (LLR). Experimental simulations are also conducted to verify the effective of the new approach.
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