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Research On Signal Detection Algorithm For Multiple-input Multiple-output System

Posted on:2016-08-21Degree:MasterType:Thesis
Country:ChinaCandidate:L X WeiFull Text:PDF
GTID:2308330473465317Subject:Communication and Information System
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In recent years, the needs of the users from the data rates and the system capacity are increasing, bringing a new challenge to the wireless communication system. Multiple-Input and Multiple-Output(MIMO) technology can increase system capacity and spectrum efficiency exponentially without increasing the bandwidth. The MIMO technology has became one of the most promising telecommunication technology. In the MIMO wireless communication systems, the issue of detection techniques at receiver is one of the key features which decides whether the MIMO technique can be used in practice. Therefore, how to achieve a higher performance of detection and at the same time have a lower complexity of signal detection has became an issue in MIMO development.This thesis mainly focuses on the signal detection algorithm of MIMO system. The first part is the analysis of the basic principles and capacity of MIMO system. Secondly, This thesis analyzes the BER performance and complexity of the Maximum-likelihood(ML) algorithm, Zero-Forcing(ZF) algorithm, Minimum Mean Square Error(MMSE) algorithm and Order Successive Interference Cancellation(OSIC)algorithm and so on. Thirdly, Sphere decoding(SD) algorithm is introduced and a new type of detection algorithm of sphere decoder is analyzed. The new algorithm can reduce the complexity by constraining the searching radius of the SD algorithm. The simulation results show that the computational complexity of the novel algorithm will be decreased obviously compared to the traditional SD algorithm, while the bit error rate hardly changes. Finally, the fixed-complexity sphere detection algorithm and LR-aided are deeply studied. This thesis proposes a low-complexity MIMO decoder with LR-aided fixed-complexity tree searching algorithm. Compared with the previous LR-aided K-best, the proposed algorithm can achieve near-ML performance despite a large number of antennas and high-order modulation. The simulations show that the algorithm has a good performance, while maintaining lower complexity.
Keywords/Search Tags:MIMO, Signal Detection, Sphere Decoding, Fixed-Complexity Sphere Decoding, LR-aided Technology
PDF Full Text Request
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