Signal Space Whitening MLSE with a Multibeam Adaptive Array

Akihito HANAKI; Takeo OHGANE; Yasutaka OGAWA

Signal Space Whitening MLSE with a Multibeam Adaptive Array

Akihito HANAKI, Takeo OHGANE, Yasutaka OGAWA

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Cochannel interference and multipath propagation reduce the performance of mobile communication systems. Multi-input MLSE with whitening processing can mitigate the influence of the interference and provide path diversity gain. In conventional considerations, however, the required complexity rapidly rises with the number of array elements. In this paper, we propose multi-input MLSE that whitens error signals in the signal space by using a multibeam adaptive array. This scheme can reduce the computational load of multi-input MLSE than the conventional type when using a large-element array. The results of an analysis show that the proposed type is equivalent to conventional one in the sense of the metric and provides less computational complexity.

Publication: IEICE TRANSACTIONS on Communications Vol.E86-B No.9 pp.2592-2599

Publication Date: 2003/09/01

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Type of Manuscript: PAPER

Category: Wireless Communication Technology

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Akihito HANAKI, Takeo OHGANE, Yasutaka OGAWA, "Signal Space Whitening MLSE with a Multibeam Adaptive Array" in IEICE TRANSACTIONS on Communications, vol. E86-B, no. 9, pp. 2592-2599, September 2003, doi: .
Abstract: Cochannel interference and multipath propagation reduce the performance of mobile communication systems. Multi-input MLSE with whitening processing can mitigate the influence of the interference and provide path diversity gain. In conventional considerations, however, the required complexity rapidly rises with the number of array elements. In this paper, we propose multi-input MLSE that whitens error signals in the signal space by using a multibeam adaptive array. This scheme can reduce the computational load of multi-input MLSE than the conventional type when using a large-element array. The results of an analysis show that the proposed type is equivalent to conventional one in the sense of the metric and provides less computational complexity.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e86-b_9_2592/_p

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@ARTICLE{e86-b_9_2592,
author={Akihito HANAKI, Takeo OHGANE, Yasutaka OGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Signal Space Whitening MLSE with a Multibeam Adaptive Array},
year={2003},
volume={E86-B},
number={9},
pages={2592-2599},
abstract={Cochannel interference and multipath propagation reduce the performance of mobile communication systems. Multi-input MLSE with whitening processing can mitigate the influence of the interference and provide path diversity gain. In conventional considerations, however, the required complexity rapidly rises with the number of array elements. In this paper, we propose multi-input MLSE that whitens error signals in the signal space by using a multibeam adaptive array. This scheme can reduce the computational load of multi-input MLSE than the conventional type when using a large-element array. The results of an analysis show that the proposed type is equivalent to conventional one in the sense of the metric and provides less computational complexity.},
keywords={},
doi={},
ISSN={},
month={September},}

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TY - JOUR
TI - Signal Space Whitening MLSE with a Multibeam Adaptive Array
T2 - IEICE TRANSACTIONS on Communications
SP - 2592
EP - 2599
AU - Akihito HANAKI
AU - Takeo OHGANE
AU - Yasutaka OGAWA
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2003
AB - Cochannel interference and multipath propagation reduce the performance of mobile communication systems. Multi-input MLSE with whitening processing can mitigate the influence of the interference and provide path diversity gain. In conventional considerations, however, the required complexity rapidly rises with the number of array elements. In this paper, we propose multi-input MLSE that whitens error signals in the signal space by using a multibeam adaptive array. This scheme can reduce the computational load of multi-input MLSE than the conventional type when using a large-element array. The results of an analysis show that the proposed type is equivalent to conventional one in the sense of the metric and provides less computational complexity.
ER -