IEICE TRANSACTIONS on Communications
Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems
Summary :
In this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems. Unlike the conventional maximum likelihood detection (MLD) method which needs the knowledge of channel state information (CSI) at the receiver, NMLD method has no need of CSI at either the transmitter or receiver. After repartitioning the observation block of multiple-symbol differential detection (MSDD) and following a decision feedback process, the decision metric of NMLD is derived by reforming that of MSDD. Since the maximum Doppler frequency and noise power are included in the derived decision metric, estimations of both maximum Doppler frequency and noise power are needed at the receiver for NMLD. A fast calculation algorithm (FCA) is applied to reduce the computational complexity of NMLD. The feasibility of the proposed NMLD is demonstrated by computer simulations in both slow and fast fading environments. Simulation results show that the proposed NMLD has good bit error rate (BER) performance, approaching that of the conventional coherent MLD with the extension of reference symbols interval. It is also proved that the BER performance is not sensitive to the estimation errors in maximum Doppler frequency and noise power.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.2 pp.361-368
- Publication Date
- 2010/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.361
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Ziyan JIA, Katsunobu YOSHII, Shiro HANDA, Fumihito SASAMORI, Shinjiro OSHITA, "Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 2, pp. 361-368, February 2010, doi: 10.1587/transcom.E93.B.361.
Abstract: In this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems. Unlike the conventional maximum likelihood detection (MLD) method which needs the knowledge of channel state information (CSI) at the receiver, NMLD method has no need of CSI at either the transmitter or receiver. After repartitioning the observation block of multiple-symbol differential detection (MSDD) and following a decision feedback process, the decision metric of NMLD is derived by reforming that of MSDD. Since the maximum Doppler frequency and noise power are included in the derived decision metric, estimations of both maximum Doppler frequency and noise power are needed at the receiver for NMLD. A fast calculation algorithm (FCA) is applied to reduce the computational complexity of NMLD. The feasibility of the proposed NMLD is demonstrated by computer simulations in both slow and fast fading environments. Simulation results show that the proposed NMLD has good bit error rate (BER) performance, approaching that of the conventional coherent MLD with the extension of reference symbols interval. It is also proved that the BER performance is not sensitive to the estimation errors in maximum Doppler frequency and noise power.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.361/_p
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@ARTICLE{e93-b_2_361,
author={Ziyan JIA, Katsunobu YOSHII, Shiro HANDA, Fumihito SASAMORI, Shinjiro OSHITA, },
journal={IEICE TRANSACTIONS on Communications},
title={Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems},
year={2010},
volume={E93-B},
number={2},
pages={361-368},
abstract={In this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems. Unlike the conventional maximum likelihood detection (MLD) method which needs the knowledge of channel state information (CSI) at the receiver, NMLD method has no need of CSI at either the transmitter or receiver. After repartitioning the observation block of multiple-symbol differential detection (MSDD) and following a decision feedback process, the decision metric of NMLD is derived by reforming that of MSDD. Since the maximum Doppler frequency and noise power are included in the derived decision metric, estimations of both maximum Doppler frequency and noise power are needed at the receiver for NMLD. A fast calculation algorithm (FCA) is applied to reduce the computational complexity of NMLD. The feasibility of the proposed NMLD is demonstrated by computer simulations in both slow and fast fading environments. Simulation results show that the proposed NMLD has good bit error rate (BER) performance, approaching that of the conventional coherent MLD with the extension of reference symbols interval. It is also proved that the BER performance is not sensitive to the estimation errors in maximum Doppler frequency and noise power.},
keywords={},
doi={10.1587/transcom.E93.B.361},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 361
EP - 368
AU - Ziyan JIA
AU - Katsunobu YOSHII
AU - Shiro HANDA
AU - Fumihito SASAMORI
AU - Shinjiro OSHITA
PY - 2010
DO - 10.1587/transcom.E93.B.361
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2010
AB - In this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems. Unlike the conventional maximum likelihood detection (MLD) method which needs the knowledge of channel state information (CSI) at the receiver, NMLD method has no need of CSI at either the transmitter or receiver. After repartitioning the observation block of multiple-symbol differential detection (MSDD) and following a decision feedback process, the decision metric of NMLD is derived by reforming that of MSDD. Since the maximum Doppler frequency and noise power are included in the derived decision metric, estimations of both maximum Doppler frequency and noise power are needed at the receiver for NMLD. A fast calculation algorithm (FCA) is applied to reduce the computational complexity of NMLD. The feasibility of the proposed NMLD is demonstrated by computer simulations in both slow and fast fading environments. Simulation results show that the proposed NMLD has good bit error rate (BER) performance, approaching that of the conventional coherent MLD with the extension of reference symbols interval. It is also proved that the BER performance is not sensitive to the estimation errors in maximum Doppler frequency and noise power.
ER -
English
