This paper proposes low-complexity blind detection for orthogonal frequency division multiplexing (OFDM) systems with the differential space-time block code (DSTBC) under time-varying frequency-selective Rayleigh fading. The detector employs the maximum likelihood sequence estimation (MLSE) in cooperation with the blind linear prediction (BLP), of which prediction coefficients are determined by the method of Lagrange multipliers. Interpolation of channel frequency responses is also applied to the detector in order to reduce the complexity. A complexity analysis and computer simulations demonstrate that the proposed detector can reduce the complexity to about a half, and that the complexity reduction causes only a loss of 1 dB in average Eb/N0 at BER of 10-3 when the prediction order and the degree of polynomial approximation are 2 and 1, respectively.
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Seree WANICHPAKDEEDECHA, Kazuhiko FUKAWA, Hiroshi SUZUKI, Satoshi SUYAMA, "MLSE Detection with Blind Linear Prediction and Subcarriers Interpolation for DSTBC-OFDM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 3, pp. 562-570, March 2007, doi: 10.1093/ietfec/e90-a.3.562.
Abstract: This paper proposes low-complexity blind detection for orthogonal frequency division multiplexing (OFDM) systems with the differential space-time block code (DSTBC) under time-varying frequency-selective Rayleigh fading. The detector employs the maximum likelihood sequence estimation (MLSE) in cooperation with the blind linear prediction (BLP), of which prediction coefficients are determined by the method of Lagrange multipliers. Interpolation of channel frequency responses is also applied to the detector in order to reduce the complexity. A complexity analysis and computer simulations demonstrate that the proposed detector can reduce the complexity to about a half, and that the complexity reduction causes only a loss of 1 dB in average Eb/N0 at BER of 10-3 when the prediction order and the degree of polynomial approximation are 2 and 1, respectively.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.3.562/_p
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@ARTICLE{e90-a_3_562,
author={Seree WANICHPAKDEEDECHA, Kazuhiko FUKAWA, Hiroshi SUZUKI, Satoshi SUYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={MLSE Detection with Blind Linear Prediction and Subcarriers Interpolation for DSTBC-OFDM Systems},
year={2007},
volume={E90-A},
number={3},
pages={562-570},
abstract={This paper proposes low-complexity blind detection for orthogonal frequency division multiplexing (OFDM) systems with the differential space-time block code (DSTBC) under time-varying frequency-selective Rayleigh fading. The detector employs the maximum likelihood sequence estimation (MLSE) in cooperation with the blind linear prediction (BLP), of which prediction coefficients are determined by the method of Lagrange multipliers. Interpolation of channel frequency responses is also applied to the detector in order to reduce the complexity. A complexity analysis and computer simulations demonstrate that the proposed detector can reduce the complexity to about a half, and that the complexity reduction causes only a loss of 1 dB in average Eb/N0 at BER of 10-3 when the prediction order and the degree of polynomial approximation are 2 and 1, respectively.},
keywords={},
doi={10.1093/ietfec/e90-a.3.562},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - MLSE Detection with Blind Linear Prediction and Subcarriers Interpolation for DSTBC-OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 562
EP - 570
AU - Seree WANICHPAKDEEDECHA
AU - Kazuhiko FUKAWA
AU - Hiroshi SUZUKI
AU - Satoshi SUYAMA
PY - 2007
DO - 10.1093/ietfec/e90-a.3.562
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2007
AB - This paper proposes low-complexity blind detection for orthogonal frequency division multiplexing (OFDM) systems with the differential space-time block code (DSTBC) under time-varying frequency-selective Rayleigh fading. The detector employs the maximum likelihood sequence estimation (MLSE) in cooperation with the blind linear prediction (BLP), of which prediction coefficients are determined by the method of Lagrange multipliers. Interpolation of channel frequency responses is also applied to the detector in order to reduce the complexity. A complexity analysis and computer simulations demonstrate that the proposed detector can reduce the complexity to about a half, and that the complexity reduction causes only a loss of 1 dB in average Eb/N0 at BER of 10-3 when the prediction order and the degree of polynomial approximation are 2 and 1, respectively.
ER -