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An adaptive zero forcing maximum likelihood soft input soft output (AZFML-SISO) detector for multiple input multiple output (MIMO) wireless systems is presented. Its performance in an iterative MIMO receiver is analyzed. The AZFML-SISO detector calculates the soft outputs, applying the ML approach to the list that contains only those signal vectors limited by a hypersphere around the zero forcing (ZF) solution. The performance of the algorithm is evaluated on a communication system based on the standard for single carrier broadband wireless communication IEEE 802.16, with three transmit and three receive antennas. It is shown by computer simulation that the computational complexity in an average sense of the receiver running the AZFML-SISO algorithm is reduced by 90% at the SNR values of 30 dB and by 50% for SNR values of 15 dB in comparison to the receiver with an ML detector, while the system performance degrades by less than 1 dB.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.2 pp.507-516

- Publication Date
- 2009/02/01

- Publicized

- Online ISSN
- 1745-1345

- DOI
- 10.1587/transcom.E92.B.507

- Type of Manuscript
- PAPER

- Category
- Wireless Communication Technologies

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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Igor JELOVAN, Gorazd KANDUS, Toma JAVORNIK, "An Adaptive Zero Forcing Maximum Likelihood Soft Input Soft Output MIMO Detector" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 2, pp. 507-516, February 2009, doi: 10.1587/transcom.E92.B.507.

Abstract: An adaptive zero forcing maximum likelihood soft input soft output (AZFML-SISO) detector for multiple input multiple output (MIMO) wireless systems is presented. Its performance in an iterative MIMO receiver is analyzed. The AZFML-SISO detector calculates the soft outputs, applying the ML approach to the list that contains only those signal vectors limited by a hypersphere around the zero forcing (ZF) solution. The performance of the algorithm is evaluated on a communication system based on the standard for single carrier broadband wireless communication IEEE 802.16, with three transmit and three receive antennas. It is shown by computer simulation that the computational complexity in an average sense of the receiver running the AZFML-SISO algorithm is reduced by 90% at the SNR values of 30 dB and by 50% for SNR values of 15 dB in comparison to the receiver with an ML detector, while the system performance degrades by less than 1 dB.

URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.507/_p

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@ARTICLE{e92-b_2_507,

author={Igor JELOVAN, Gorazd KANDUS, Toma JAVORNIK, },

journal={IEICE TRANSACTIONS on Communications},

title={An Adaptive Zero Forcing Maximum Likelihood Soft Input Soft Output MIMO Detector},

year={2009},

volume={E92-B},

number={2},

pages={507-516},

abstract={An adaptive zero forcing maximum likelihood soft input soft output (AZFML-SISO) detector for multiple input multiple output (MIMO) wireless systems is presented. Its performance in an iterative MIMO receiver is analyzed. The AZFML-SISO detector calculates the soft outputs, applying the ML approach to the list that contains only those signal vectors limited by a hypersphere around the zero forcing (ZF) solution. The performance of the algorithm is evaluated on a communication system based on the standard for single carrier broadband wireless communication IEEE 802.16, with three transmit and three receive antennas. It is shown by computer simulation that the computational complexity in an average sense of the receiver running the AZFML-SISO algorithm is reduced by 90% at the SNR values of 30 dB and by 50% for SNR values of 15 dB in comparison to the receiver with an ML detector, while the system performance degrades by less than 1 dB.},

keywords={},

doi={10.1587/transcom.E92.B.507},

ISSN={1745-1345},

month={February},}

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TY - JOUR

TI - An Adaptive Zero Forcing Maximum Likelihood Soft Input Soft Output MIMO Detector

T2 - IEICE TRANSACTIONS on Communications

SP - 507

EP - 516

AU - Igor JELOVAN

AU - Gorazd KANDUS

AU - Toma JAVORNIK

PY - 2009

DO - 10.1587/transcom.E92.B.507

JO - IEICE TRANSACTIONS on Communications

SN - 1745-1345

VL - E92-B

IS - 2

JA - IEICE TRANSACTIONS on Communications

Y1 - February 2009

AB - An adaptive zero forcing maximum likelihood soft input soft output (AZFML-SISO) detector for multiple input multiple output (MIMO) wireless systems is presented. Its performance in an iterative MIMO receiver is analyzed. The AZFML-SISO detector calculates the soft outputs, applying the ML approach to the list that contains only those signal vectors limited by a hypersphere around the zero forcing (ZF) solution. The performance of the algorithm is evaluated on a communication system based on the standard for single carrier broadband wireless communication IEEE 802.16, with three transmit and three receive antennas. It is shown by computer simulation that the computational complexity in an average sense of the receiver running the AZFML-SISO algorithm is reduced by 90% at the SNR values of 30 dB and by 50% for SNR values of 15 dB in comparison to the receiver with an ML detector, while the system performance degrades by less than 1 dB.

ER -