Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula

碩士 === 國立中山大學 === 通訊工程研究所 === 91 === The technique of direct sequence spread spectrum (DS/SS) has been widely used in commercial mobile communication systems. The efficiency of DS/SS system is highly dependent on the accurate and fast synchronization between the incoming and locally generated PN (ps...

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Main Authors: Guo-Hua Chen, 陳國華
Other Authors: Shiunn-Jang Chern
Format: Others
Language:en_US
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/49531247326154293689
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spelling ndltd-TW-091NSYS56500052016-06-22T04:20:47Z http://ndltd.ncl.edu.tw/handle/49531247326154293689 Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula 利用適應性限制濾波技術結合直接延遲估測公式之最大權重值做直接序列展頻系統之展頻碼同步研究 Guo-Hua Chen 陳國華 碩士 國立中山大學 通訊工程研究所 91 The technique of direct sequence spread spectrum (DS/SS) has been widely used in commercial mobile communication systems. The efficiency of DS/SS system is highly dependent on the accurate and fast synchronization between the incoming and locally generated PN (pseudo-noise) codes. The code synchronization is processed in two steps, acquisition (coarse alignment) and tracking (fine alignment), to bring the delay offset between the two codes. Conventionally, for code synchronization, most of techniques were proposed based on the correlation property of PN codes. Recently, the different approach, by using the adaptive LMS filtering scheme, has been proposed to reduce the hardware complexity and to improve the performance of code synchronization, especially for a long PN code. In this thesis, a new coherent adaptive code synchronization scheme is proposed, where the adaptive constrained LMS (CLMS) algorithm with the maximum tap-weight (MTW) test method is devised for code acquisition. The statistics of weight vector of the proposed CLMS scheme are derived to evaluate the performance, in terms of mean acquisition time (MAT). Analytical and simulation results verify that the proposed scheme for code acquisition outperforms the one using the conventional LMS filtering schemes, under the integer and non-integer time delay cases. Moreover, the setting of threshold value is derived for code acquisition, which is independent of the values of signal-to-noise ratio (SNR) and time delay. Next, the CLMS scheme is proposed associated with the direct delay estimation (DDE) formula for code tracking. This approach does achieve a good delay-tracking performance, which is verified via computer simulation. Simultaneously, the hardware complexity can further be reduced due to that a code-tracking loop implemented by the interpolation method is not required. Shiunn-Jang Chern 陳巽璋 2003 學位論文 ; thesis 60 en_US
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language en_US
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description 碩士 === 國立中山大學 === 通訊工程研究所 === 91 === The technique of direct sequence spread spectrum (DS/SS) has been widely used in commercial mobile communication systems. The efficiency of DS/SS system is highly dependent on the accurate and fast synchronization between the incoming and locally generated PN (pseudo-noise) codes. The code synchronization is processed in two steps, acquisition (coarse alignment) and tracking (fine alignment), to bring the delay offset between the two codes. Conventionally, for code synchronization, most of techniques were proposed based on the correlation property of PN codes. Recently, the different approach, by using the adaptive LMS filtering scheme, has been proposed to reduce the hardware complexity and to improve the performance of code synchronization, especially for a long PN code. In this thesis, a new coherent adaptive code synchronization scheme is proposed, where the adaptive constrained LMS (CLMS) algorithm with the maximum tap-weight (MTW) test method is devised for code acquisition. The statistics of weight vector of the proposed CLMS scheme are derived to evaluate the performance, in terms of mean acquisition time (MAT). Analytical and simulation results verify that the proposed scheme for code acquisition outperforms the one using the conventional LMS filtering schemes, under the integer and non-integer time delay cases. Moreover, the setting of threshold value is derived for code acquisition, which is independent of the values of signal-to-noise ratio (SNR) and time delay. Next, the CLMS scheme is proposed associated with the direct delay estimation (DDE) formula for code tracking. This approach does achieve a good delay-tracking performance, which is verified via computer simulation. Simultaneously, the hardware complexity can further be reduced due to that a code-tracking loop implemented by the interpolation method is not required.
author2 Shiunn-Jang Chern
author_facet Shiunn-Jang Chern
Guo-Hua Chen
陳國華
author Guo-Hua Chen
陳國華
spellingShingle Guo-Hua Chen
陳國華
Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula
author_sort Guo-Hua Chen
title Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula
title_short Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula
title_full Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula
title_fullStr Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula
title_full_unstemmed Maximum Weight Approach for Code Synchronization in DS/SS Systems Using Adaptive Constrained Filtering Techniquewith Direct-Delay-Estimation Formula
title_sort maximum weight approach for code synchronization in ds/ss systems using adaptive constrained filtering techniquewith direct-delay-estimation formula
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/49531247326154293689
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