Signal detection of soted QR decomposition based on log-likelihood ratio for V-BLAST OFDM systems = V-BLAST OFDM 시스템에서 log-likelihood ratio 기반 sorted QRD를 이용한 신호 검출에 관한 연구

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High data rate and mobility for ubiquitous multimedia services are required for the next-generation wireless communication systems. As one of the most promising technologies to satisfy these requirements, V-BLAST OFDM systems are devised for high throughput and the robustness against multipath fading. In this thesis, we propose novel detection algorithms using Log-Likelihood Ratio (LLR) to detect signals for V-BLAST OFDM systems. These algorithms utilize SQRD (Sorted QR Decomposition) of the channel matrix, and apply LLR to determine the order of detection. Simulation results show that the proposed algorithms using LLR-based SQRDs provide the better performance than the conventional algorithms using SNR-based SQRDs with small overhead for additional computations. Specifically, when the number of transmit antennas $\It{n}_{T}$ is 8, and the number of receiver antennas $\It{n}_{R}$ is 8, the aver-age BER performance of our proposed algorithm using LLR-based ZF-SQRD is better than that of the conventional algorithm using SNR-based ZF-SQRD by about 2dB for QPSK. Furthermore, the average BER performance of the proposed algorithm using LLR-based MMSE-SQRD outperforms the conventional algorithm using SNR-based MMSE-SQRD by about 4dB for QPSK at $10^{-4}$ target BER. Therefore, our proposed algorithms using LLR-based SQRDs can be presented as the detection algorithm for V-BLAST OFDM systems.
Advisors
Lee, Hyuck-Jaeresearcher이혁재researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2007
Identifier
392772/225023 / 020054602
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2007.2, [ vii, 49 p. ]

Keywords

OFDM; V-BLAST; Signal Detection; 신호 검출; 직교 주파수 분할 다중; Log-Likelihood Ratio; QR decomposition

URI
http://hdl.handle.net/10203/54818
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392772&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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