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Research on Multi-user Detection Technology for TH-UWB Wireless Communication System

Author: LiuYue
Tutor: LiYiBing
School: Harbin Engineering University
Course: Signal and Information Processing
Keywords: Ultra-Wideband Multipath channel Multi-user detection Iteration of ideas Interference Cancellation
CLC: TN925
Type: Master's thesis
Year: 2010
Downloads: 34
Quote: 1
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Abstract


Recent years, with the rapid development of the short-range wireless communications technology, UWB (IR-UWB) its high transfer rate, system capacity, anti-multipath capability and system structure is simple, etc. become the forefront of the field of communication traffic one of the technology, and has been widespread concern in the research institutions and Organization for Standardization. However, the practical application of the multi-user access UWB system, each user's jump sequence caused multiple access interference reduce the system capacity and distance effect become the main factors affecting system performance. In this paper, ultra-wideband system performance from multiple access interference departure were set up based on the Gaussian white noise channel and the IEEE 802.15.3a recommended amendment SV channel model for ultra wideband system in two simulation system model based on the conducted in-depth comprehensive study focused to improve the system of anti-multiple access interference ability and reduce system complexity. First of all, the anti-MAI white Gaussian noise channel interference technology research, based on interference cancellation and Gaussian approximation algorithm Iterative Multiuser Detector. The detector is divided into two levels, reflecting the bit Credits \reduce the complexity of the algorithm. Secondly, in the the IEEE 802.15.3a recommended amendment SV multipath channel model to study the anti-multiple access interference iterative technique, a partial interference cancellation algorithm. Iterative structure used in UWB system under multipath channel, the first the multipath channel hopping UWB system received signal model, the use of this model the iterative structure under Gaussian channel expansion. In this based on the interference estimate is multiplied by a weighting factor ranging between 0,1 to improve the accuracy of the estimated disturbance, thus improving the detection performance of the system. Last derive the weighting factor selection method. Finally, in the Gaussian white noise channel, and amendment SV channel environment of the above interference elimination and Gaussian approximation algorithm with interference cancellation algorithm software simulation. Simulation results show that the iterative multiuser detector based on these two algorithms with low complexity, system performance, and anti-multiple access interference ability, etc., has a certain value.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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