• Title/Summary/Keyword: QR Decomposition

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An Improved Search Space for QRM-MLD Signal Detection for Spatially Multiplexed MIMO Systems (공간다중화 MIMO 시스템의 QRM-MLD 신호검출을 위한 개선된 탐색공간)

  • Hur, Hoon;Woo, Hyun-Myung;Yang, Won-Young;Bahng, Seung-Jae;Park, Youn-Ok;Kim, Jae-Kwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.4A
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    • pp.403-410
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    • 2008
  • In this paper, we propose a variant of the QRM-MLD signal detection method that is used for spatially multiplexed multiple antenna system. The original QRM-MLD signal detection method combines the QR decomposition with the M-algorithm, thereby significantly reduces the prohibitive hardware complexity of the ML signal detection method, still achieving a near ML performance. When the number of transmitter antennas and/or constellation size are increased to achieve higher bit rate, however, its increased complexity makes the hardware implementation challenging. In an effort to overcome this drawback of the original QRM-MLD, a number of variants were proposed. A most strong variant among them, in our opinion, is the ranking method, in which the constellation points are ranked and computation is performed for only highly ranked constellation points, thereby reducing the required complexity. However, the variant using the ranking method experiences a significant performance degradation, when compared with the original QRM-MLD. In this paper, we point out the reasons of the performance degradation, and we propose a novel variant that overcomes the drawbacks. We perform a set of computer simulations to show that the proposed method achieves a near performance of the original QRM-MLD, while its computational complexity is near to that of the QRM-MLD with ranking method.

Hybrid Detection Algorithm for Spatial Multiplexing MIMO-OFDM System (공간 다중화 MIMO-OFDM 시스템을 위한 Hybrid 검출 기법)

  • Won, Tae-Yoon;Kim, Seung-Hwan;Lee, Jin-Yong;Kim, Young-Lok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.6C
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    • pp.539-546
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    • 2010
  • In next generation wireless communication systems based on OFDM, multiple-input multiple-output (MIMO) technique is adopted in order to achieve high data throughput with limited bandwidth. As one of MIMO techniques, spatial multiplexing scheme needs high performance data detection algorithm that can be performed with low computational complexity. In this paper, we propose an algorithm that can compute QRM-MLD with reduced complexity. Also, hybrid detection technique is proposed, which can reduce the complexity by selecting between MMSE and QRM-MLD according to the channel condition. The proposed algorithm provides the trade-off between performance and complexity. The computer simulations for downlink transmission in 3GPP LTE system show that less than 0.1dB performance degradation can be achieved at 0.1% BER with 59% reduction on computational complexity compared with the conventional QRM-MLD algorithm.