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Vehicular Technology Conference, 2005. VTC-2005-Fall. 2005 IEEE 62nd; 10/2005
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Vehicular Technology Conference, 2005. VTC-2005-Fall. 2005 IEEE 62nd; 10/2005
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ABSTRACT: In this paper, the receiver design of MIMO systems is performed in a mixture of Gaussian noise and impulsive noise modeled as a symmetric alpha stable process. Both spatial multiplexing systems (SM-systems) and diversity based systems are considered. The optimal receiver and several suboptimal receivers are developed and the related problems, such as performance and robustness, are discussed. Simulation shows that the proposed receivers can achieve much better performance than the traditional MIMO receivers in the mixed noise.
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th; 10/2004
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ABSTRACT: Multiple-input multiple-output (MIMO) systems have been proposed to attain high capacity or good performance. MIMO systems typically fall into two categories: spatial multiplexing systems (SM-systems) and space-time coding systems (STC-systems). Compared with each other, the SM-systems give the higher data rates while the STC-systems give the better performance. Joint detection (JD) techniques, as one class of multiuser detection, were originally used in CDMA systems to combat multiple-access and intersymbol interference. A novel method of combining coding and JD techniques for signal detection in MIMO systems is proposed. Compared with SM-systems, such as VBLAST, this method can attain better performance. Compared with common STC-systems, this method can achieve the full code rates even for more than two transmit antennas with complex constellations. The performances of the approaches using different JD algorithms are analyzed and compared. Simulation shows that this method performs well.
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on; 07/2004
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Personal Wireless Communications, IFIP TC6 9th International Conference, PWC 2004, Delft, The Netherlands, September 21-23, 2004, Proceedings; 01/2004
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ABSTRACT: Multiple-input multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques are combined to attain high capacity or good performance over frequency selective channels (FS). Joint detection (JD) techniques, as one class of the multiuser detection techniques, are originally used in CDMA systems to combat multiple-access and intersymbol interference. A novel method of combining coding and JD techniques for signal detection in MIMO-OFDM systems is proposed in this paper. Compared with the spatially multiplexing OFDM (SM-OFDM) systems, such as VBLAST-OFDM, this method can attain better performance. Compared with common space-frequency coding OFDM (SFC-OFDM) systems, this method can achieve the full code rates even for more than two transmit antennas with complex constellations. The performances of the approaches using different JD algorithms are analyzed and compared. Simulation shows this method performs well.
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on;
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ABSTRACT: Most of the analyses of multiple-input multiple-output (MIMO) systems so far have been based on the ideal Gaussian noise model. In this paper, performance analysis of MIMO systems is performed in a mixture of Gaussian noise and impulsive noise modeled as a symmetric alpha stable process. Three typical MIMO systems are considered: 1) zero-forcing (ZF) system, 2) maximum likelihood (ML) system and 3) space time block coding (STBC) system. The symbol-error-rates (SER) or the upper bound of SER of each system is derived. Simulations are performed in the mixed noise with different impulsive intensity and impulsive level and the results show that the performances of all the systems are degraded greatly in the mixed noise and STBC has no performance gain over ZF and ML when high impulsive noise appears.
Communications, 2004 and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings. The 2004 Joint Conference of the 10th Asia-Pacific Conference on;
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ABSTRACT: A novel fast recursive sphere decoder with competitive extension (CR-SD) is proposed for the exact maximum-likelihood (ML) detection in multiple-input multiple output (MIMO) system. CR-SD introduces a novel competition mechanism which enables the sub-trees to be searched in an optimized order and makes the search radius shrink to the minimum Euclidean distance as early as possible. Numerical results show that CR-SD achieves considerable computation complexity reduction even compared with the fastest ML Schnorr-Euchner enumeration (SEE) based sphere decoder (SE-SD) in literature. Unlike the ML stack [V. Sandrine et al., May 2002] [S. Baro et al., May 2003] or branch-and-bound (BBD) detectors [J. Luo et al., May 2003] in which the storage requirement is random and the exponential in worst case, CR-SD maintains the negligible storage upper-bounded by a deterministic constant linear with the search dimensions.
Communications, 2004 and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceedings. The 2004 Joint Conference of the 10th Asia-Pacific Conference on;
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ABSTRACT: A novel fast recursive sphere decoder with parallel competing branches (P-SD) is proposed for exact maximum-likelihood (ML) detection in multiple-input multiple-output (MIMO) systems. P-SD introduces a novel competition mechanism which makes P-SD dynamically choose the targeted branch to perform a bounded search among the competing parallel branches. In P-SD, the search radius shrinks to the minimum Euclidean distance as early as possible. Numerical results show that P-SD achieves considerable computational complexity reduction even compared with the Schnorr-Euchner enumeration (SEE) based sphere decoder (SE-SD).
Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st;
