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Performance Improvement of the Uplink WCDMA Scrambling Code Identification Using Multiple Antennas Combining

Title
Performance Improvement of the Uplink WCDMA Scrambling Code Identification Using Multiple Antennas Combining
Translated Title
비동기 다중안테나 결합을 이용한 WCDMA 스크램블링 코드 판별
Authors
Park, Chan Keun
Advisor(s)
Choi, Ji Woong
Co-Advisor(s)
Choi, Hong Soo
Issue Date
2017
Available Date
2017-08-02
Degree Date
2017. 8
Type
Thesis
Keywords
WCDMAscrambling codemultiple antenna combining
Abstract
In this thesis, I develop an eavesdropping method for uplink wideband code division multiple access (WCDMA) system. In order to achieve effective eavesdropping of uplink WCDMA message, one of the most demanding systematic characteristics is the scrambling code information. While the previous works of identifying the scrambling code use only one antenna and cannot operate well in practical environments having low signal to noise power ratio (SNR), I propose an improved method for robust identification performance in more practical scenarios by using multiple antennas. The proposed method exploits not only multiple antennas but also non-coherent combining (NCC) which enables combining the received signals of each antenna without any channel state information (CSI). Through numerical simulation, I demonstrate that the proposed method is effective for both slow and fast fading environments and evaluate the performance using various system parameters. In the second Chapter, I explain the conventional scrambling code identification method. This method consists of chip-level processing, min-sum algorithm, and scrambling code identification. Chip-level processing makes the received signal to the shifted m-sequence from upper shift register sequence (SRS) of the scrambling code generator. Min-sum algorithm is used to reliably detect the shifted m-sequence in the presence of interference. Finally, scrambling code identification determine the uplink scrambling code by using shifted m-sequence and transition matrices. In the third Chapter, I described the proposed NCC in order to obtain better performance, discuss how the proposed method differs from the conventional method, and analyze how the performance gain in performance is achieved. ⓒ 2017 DGIST
Table Of Contents
List of contents 9-- List of figures 10-- Abstract 11-- I. Introduction-- 1.1 Channelization code 14-- 1.2 Scrambling code 15-- 1.3 Scrambling code identification 16-- II. Conventional uplink scrambling code identification method-- 2.1 Chip level processing 19-- 2.2 Min-sum algorithm 22-- 2.3 Scrambling code identification 24-- III. Uplink scrambling code identification method using non-coherent combining (NCC)-- 3.1 Non-coherent combining 28-- 3.2 Chip level processing 29-- 3.3 Min-sum algorithm 29-- IV. Eavesdropping the WCDMA messages-- V. Simulation results and performance analysis-- 5.1 Error rate evaluation for slow and fast fading channels 34-- 5.2 Comparison of NCC and maximal ratio combining (MRC) 35-- VI. Conclusion 39-- Reference 40-- Acronyms 42
URI
http://dgist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002377956
http://hdl.handle.net/20.500.11750/4105
DOI
10.22677/thesis.2377956
Degree
Master
Department
Information and Communication Engineering
University
DGIST
Related Researcher
  • Author Choi, Hong Soo Bio-Micro Robotics Lab
  • Research Interests Micro/Nano robot; Neural prostheses; MEMS; BMI; MEMS/NEMS; BioMEMS; MEMS 초음파 트랜스듀스; 인공와우
Files:
Collection:
Emerging Materials ScienceThesesMaster


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