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Marginalized Particle Filter for Blind Signal Detection with Analog Imperfections
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Recently, the marginalized particle filter (MPF) has been applied to blind symbol detection problems over selective fading channels. The MPF can ease the computational burden of the standard particle filter (PF) while offering better estimates compared with the standard PF. In this paper, we investigate the application of the blind MPF detector to more realistic situations where the systems suffer from analog imperfections which are non-linear signal distortion due to the inaccurate analog circuits in wireless devices. By reformulating the system model using the widely linear representation and employing the auxiliary variable resampling (AVR) technique for estimation of the imperfections, the blind MPF detector is successfully modified to cope with the analog imperfections. The effectiveness of the proposed MPF detector is demonstrated via computer simulations.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.2 pp.336-344
- Publication Date
- 2010/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.336
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
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Yuki YOSHIDA, Kazunori HAYASHI, Hideaki SAKAI, Wladimir BOCQUET, "Marginalized Particle Filter for Blind Signal Detection with Analog Imperfections" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 2, pp. 336-344, February 2010, doi: 10.1587/transcom.E93.B.336.
Abstract: Recently, the marginalized particle filter (MPF) has been applied to blind symbol detection problems over selective fading channels. The MPF can ease the computational burden of the standard particle filter (PF) while offering better estimates compared with the standard PF. In this paper, we investigate the application of the blind MPF detector to more realistic situations where the systems suffer from analog imperfections which are non-linear signal distortion due to the inaccurate analog circuits in wireless devices. By reformulating the system model using the widely linear representation and employing the auxiliary variable resampling (AVR) technique for estimation of the imperfections, the blind MPF detector is successfully modified to cope with the analog imperfections. The effectiveness of the proposed MPF detector is demonstrated via computer simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.336/_p
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@ARTICLE{e93-b_2_336,
author={Yuki YOSHIDA, Kazunori HAYASHI, Hideaki SAKAI, Wladimir BOCQUET, },
journal={IEICE TRANSACTIONS on Communications},
title={Marginalized Particle Filter for Blind Signal Detection with Analog Imperfections},
year={2010},
volume={E93-B},
number={2},
pages={336-344},
abstract={Recently, the marginalized particle filter (MPF) has been applied to blind symbol detection problems over selective fading channels. The MPF can ease the computational burden of the standard particle filter (PF) while offering better estimates compared with the standard PF. In this paper, we investigate the application of the blind MPF detector to more realistic situations where the systems suffer from analog imperfections which are non-linear signal distortion due to the inaccurate analog circuits in wireless devices. By reformulating the system model using the widely linear representation and employing the auxiliary variable resampling (AVR) technique for estimation of the imperfections, the blind MPF detector is successfully modified to cope with the analog imperfections. The effectiveness of the proposed MPF detector is demonstrated via computer simulations.},
keywords={},
doi={10.1587/transcom.E93.B.336},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Marginalized Particle Filter for Blind Signal Detection with Analog Imperfections
T2 - IEICE TRANSACTIONS on Communications
SP - 336
EP - 344
AU - Yuki YOSHIDA
AU - Kazunori HAYASHI
AU - Hideaki SAKAI
AU - Wladimir BOCQUET
PY - 2010
DO - 10.1587/transcom.E93.B.336
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2010
AB - Recently, the marginalized particle filter (MPF) has been applied to blind symbol detection problems over selective fading channels. The MPF can ease the computational burden of the standard particle filter (PF) while offering better estimates compared with the standard PF. In this paper, we investigate the application of the blind MPF detector to more realistic situations where the systems suffer from analog imperfections which are non-linear signal distortion due to the inaccurate analog circuits in wireless devices. By reformulating the system model using the widely linear representation and employing the auxiliary variable resampling (AVR) technique for estimation of the imperfections, the blind MPF detector is successfully modified to cope with the analog imperfections. The effectiveness of the proposed MPF detector is demonstrated via computer simulations.
ER -
English
