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The Research And Application Of Multi-user Detection Algorithm Based On Blind Adaptive Technology

Posted on:2015-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhangFull Text:PDF
GTID:2268330428483214Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Now OFDMA is the main technology about LTE. This paper introduces the keytechnologies of LTE, which focuses on the PUCCH multiuser detection algorithm thatapplied in MIMO system. In use of all kinds of signal information, multi-user detectiontechnology can detect target user information effectively. Multi-user detectiontechnology can effectively remove the multiple access interference effect on theperformance of communication system.Multi-user detection technology has already been applicated in TD-SCDMAsystem. In LTE system, multi-user detection is applied in PUCCH physical uplinkcontrol channel. This is because multiple PUCCH channel is distinguished through thespread spectrum code which need multi-user detection technology.Also the paper introduces the basic principle of multi-user detection and theapplication environment of the system model include common linear multiuser detector,such as the Decorrelation detection, Linear Minimum Mean Square Error detector, etc.Then, from the perspective of blind adaptive blind adaptive multiuser detectionalgorithm is presented in this paper, such as Least Mean Square, Recursive LeastSquares and Kalman algorithms. On the basic study of LMS algorithm in this paper, anew variable step strategy is proposed, we call it new-LMS algorithm. Then through theresearch of RLS algorithm I put forward a new algorithm which introduces adaptiveforgetting factor into RLS algorithm called V-RLS algorithm. Compare theperformances of the original algorithms and V-RLS algorithm for differentperformance. Last from the perspective of subspace, I study three classic subspacetracking algorithm. In the previous V-RLS inspired, I raise PASTd algorithm based onvariable forgetting factor called V-OPASTd algorithm. Then I compare the performanceof BER and MSE between V-OPASTd and original algorithms by simulation.
Keywords/Search Tags:Multi-user Detection, LTE System, Blind Adaptive, Subspace Tracking
PDF Full Text Request
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