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HTRCI and Channel Ranking Based Joint Symbols Detection for MQRD-PCM/MIMO-OFDM

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Abstract

MIMO-OFDM is considered a key technology in emerging high-data rate systems. In MIMO-OFDM systems, channel estimation and signal detection are important to distinguish transmit signals from multiple transmit antennas. Previously, we have proposed a parallel detection algorithm using multiple QR decompositions (Q is an orthogonal square matrix, R is upper triangular matrix) with permuted channel matrix (MQRD-PCM) to reduce the system complexity of MIMO-OFDM. This method achieves a good BER performance with a low system complexity. However, since MQRD-PCM is a kind of parallel detection method, the wrong detection probability is increased due to the bad channel signal-to-interference plus noise power ratio (SINR) of the transmitted signals. As a result, the average BER performance is influenced by the wrong detection probability of the bad channel SINR. To overcome the above-mentioned problems, in this paper, we propose the high time resolution carrier interferometry and channel ranking based joint signal detection for MQRD-PCM/MIMO-OFDM.

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Authors and Affiliations

  1. Faculty of Information Sciences, Hiroshima City University, 3-4-1 Ozuka-Higashi, Asaminami-Ku, Hiroshima, 731-3194, Japan

    Chang-Jun Ahn

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  1. Chang-Jun Ahn
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Correspondence to Chang-Jun Ahn.

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Ahn, CJ. HTRCI and Channel Ranking Based Joint Symbols Detection for MQRD-PCM/MIMO-OFDM. Wireless Pers Commun 55, 485–499 (2010). https://doi.org/10.1007/s11277-009-9811-3

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  • DOI: https://doi.org/10.1007/s11277-009-9811-3

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