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Studies on Signal Detection Algorithms for MIMO Communication System
Author: GuanYuQiu
Tutor: GuoChengAn
School: Dalian University of Technology
Course: Electronics and Communication Engineering
Keywords: MIMO Signal detection Sphere Decoding Initial radius
CLC: TN919.3
Type: Master's thesis
Year: 2011
Downloads: 42
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Abstract
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MIMO technology is a key technology of the next generation of wireless communication systems , it can take advantage of the spatial multiplexing and transmit diversity technology , without increasing channel bandwidth and signal transmission power exponentially increase the channel capacity and transmission reliability . MIMO signal detection technique is one of the priorities of the MIMO technology research , is the main content of this paper . In the research at home and abroad on the basis of the issues identified by the detection of the initial radius of the sphere decoding , proposed a method to optimize the choice of the initial radius , the method does not require a lot of pre-processing operations , and the ability to reduce spherical translation the computational complexity of the code detection algorithm . In this paper, the inadequacies of the traditional sphere decoding detection algorithm , proposed three improved algorithms , the starting point remains the basis of the detection performance of the sphere decoding algorithm to reduce the computational complexity . Three improved program are as follows : (1) interlayer sort adaptive sphere decoding algorithm detection (LSA-SD) . The algorithm is to improve , in order to cut out some of the nodes , the detection performance of the method with the traditional spherical detected no loss to the value sequence and the radius of the candidate nodes in the detection process of the conventional sphere decoding method scaled , but can be significantly reduce the amount of calculation. (2) compare to strike the optimum radius of the sphere decoding detection (LSA-CR-SD) algorithm and the algorithm based on the reliability criterion the sphere decoding Detection (LSA-RA-SD) are on the LSA-SD algorithm improvements , the algorithm can solve the initial radius of the set of LSA-SD smaller returns iterations increase the radius larger result in a large amount of calculation . BER performance of these two algorithms losses are small, but had a better computational complexity . In this paper, the improved algorithm appeal a large number of simulation experiments , and the results were analyzed . The end of the article summarizes the work done on this article , and next outlook .
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