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An Improved IIC Algorithm Of MIMO-SCFDE Communication System

Posted on:2014-01-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2248330398960188Subject:Communication and Information System
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With the development of communication techniques, next-generation mobile communication has higher requirements for availability and reliability. The main factor which wireless communication faces is spectral efficiency and multipath fading. Block-wise transmission techniques include Single Carrier Frequency Domain Equalization (SC-FDE) and Orthogonal Frequency Division Multiplexing (OFDM). Block-wise transmission techniques can combat the multipath fading effectively. MIMO technique can achieve high channel capacity. The combination of Block-wise transmission techniques and MIMO technique can not only combat the multipath fading effectively, but improve spectral efficiency. The combination of the two technologies are the important technologies of the mobile communication network which includes LTE, LTE-Advanced, IMT and IMT-Advanced.The thesis firstly introduces MIMO system, Block-wise transmission systems, MIMO-SCFDE system and MIMO-OFDM system. Secondly equalization technique of MIMO receiver is introduced. Finally we describe signal detection algorithms based on SIC. The SIC-based detection algorithms include BLAST detection algorithm and IIC detection algorithm are described. The thesis analysis signal processing of two algorithms, and describes the principles of IIC detection algorithm. And the thesis gives a brief introduction of characteristics of BLAST algorithm and IIC algorithm.Partial decision is a method, which applies for inference cancellation technology in MIMO system. This method has been widespread studied in narrowband MIMO system and MIMO-OFDM system, but not been studied in signal detection algorithm in MIMO-SCFDE system. In order to solve error diffusion which IIC algorithm has, we propose Improved IIC algorithm. The method is that we apply partial decision for IIC algorithm. This algorithm increases little calculation and reduces error diffusion effectively and improves system performance. The thesis gives an introduction of the principle and implement method of partial decision. Then we carry out system simulation, comparing to IIC detection algorithm. The results show that Improved IIC algorithm improves system performance effectively. Error correction code is a key technology for ensuring system performance in practical communication system. Within a certain range of SNR, error correction code can correct error effectively, and improve system performance. We combine Turbo code and Improved IIC algorithm, expanding the strength of error correction and improving the receiver performance. This thesis proposes the combination of Turbo code and Improved IIC algorithm. There are two combing schemes. We name IIC-Turbo and IIC-Turbo IC respectively., which belong to IIC+Turbo. As a comparison, we combine Turbo code and BLAST algorithm. And there are two combing methods about combining BLAST algorithm with Turbo code. We name BLAST-Turbo and BLAST-Turbo IC. They belong to BLAST+Turbo. After system simulation, the results show that the performance of IIC-Turbo and IIC-Turbo IC is related to rate and antennas numbers and channel state. At the same time, IIC+Turbo has an obvious advantage of the BLAST+Turbo at the high rate. And with the increase of antennas, IIC+Turbo has a significant advantage over BLAST+Turbo.
Keywords/Search Tags:Multiple Input Multiple Output, Single Carrier Frequency DomainEqualization, Orthogonal Frequency Division Multiplexing, SuccessiveInference Cancellation, Signal Detection Algorithm
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