2006 International Conference on Wireless Communications, Networking and Mobile Computing 2006
DOI: 10.1109/wicom.2006.18
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A Novel Detection Algorithm Using the Sorted QR Decomposition Based on Log-Likelihood Ratio in V-BLAST Systems

Abstract: In this paper, we propose a novel detection algorithm using Log-Likelihood Ratio (LLR) to detect signals in V-BLAST systems. This algorithm utilizes the sorted QR decomposition (SQRD) of the channel matrix, and applies LLR to determine the order of detection. Simulation results show that the proposed algorithm provides a better performance than the conventional SQRD with a few additional computations. Approximately, the average BER performance of our algorithm is better than that of the conventional SQRD algor… Show more

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Cited by 11 publications
(4 citation statements)
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“…Every k th input is first up-sampled by 2 P and then filtered by sub-channel impulse response f k ( n ). Received signal vectors at DGN are detected using QR decomposition detection algorithm [26]. Denoting channel response matrix H = QR , where Q is N r × N t unitary matrix composed of orthonormal columns with unit norm and R is N t × N t , upper triangular matrix, the received signal expression in Equation (4) can be modified to detect the transmitted signals by multiplying it with Q t (transpose of Q ) as follows: italicRectrue˜=QtRec=Qt(HS+ζ)=QtQRS+η italicRectrue˜=RS+ηwhere Q t Q = I (I is identity matrix), and η = Q t ζ is statistically identical to ζ .…”
Section: System Modelmentioning
confidence: 99%
“…Every k th input is first up-sampled by 2 P and then filtered by sub-channel impulse response f k ( n ). Received signal vectors at DGN are detected using QR decomposition detection algorithm [26]. Denoting channel response matrix H = QR , where Q is N r × N t unitary matrix composed of orthonormal columns with unit norm and R is N t × N t , upper triangular matrix, the received signal expression in Equation (4) can be modified to detect the transmitted signals by multiplying it with Q t (transpose of Q ) as follows: italicRectrue˜=QtRec=Qt(HS+ζ)=QtQRS+η italicRectrue˜=RS+ηwhere Q t Q = I (I is identity matrix), and η = Q t ζ is statistically identical to ζ .…”
Section: System Modelmentioning
confidence: 99%
“…Every k th input is first up-sampled by 2 P and then filtered by sub-channel impulse response f k (n). Received signals are detected using QR decomposition detection algorithm [7]. Denoting channel (4) can be modified to detect the transmitted signals by multiplying it with Q t (transpose of Q) as follows:…”
Section: System Modelmentioning
confidence: 99%
“…Spatial multiplexing (SM) enables the transmission of multiple parallel data streams as a means to enhance system throughput [ 12 ]. A MIMO system has been formerly studied as a promising technology for increasing the channel capacity and reliability in cellular or wireless local area network (LAN) systems [ 13 18 ]. However, many research results have been proposed in the last few years to make use of MIMO technologies in WSNs [ 19 22 ].…”
Section: Introductionmentioning
confidence: 99%