An Iterative MAP Approach to Blind Estimation of SIMO FIR Channels
Summary :
In this paper, we present a maximum a posteriori probability (MAP) approach to the problem of blind estimation of single-input, multiple-output (SIMO), finite impulse response (FIR) channels. A number of methods have been developed to date for this blind estimation problem. Some of those utilize prior knowledge on input signal statistics. However, there are very few that utilize channel statistics too. In this paper, the unknown channel to be estimated is assumed as the frequency-selective Rayleigh fading channel, and we incorporate the channel prior distributions (and hyperprior distributions) into our model in two different ways. Then for each case an iterative MAP estimator is derived approximately. Performance comparisons over existing methods are conducted via numerical simulation on randomly generated channel coefficients according to the Rayleigh fading channel model. It is shown that improved estimation performance can be achieved through the MAP approaches, especially for such channel realizations that have resulted in large estimation error with existing methods.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.1 pp.330-337
- Publication Date
- 2012/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.330
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Koji HARADA, Hideaki SAKAI, "An Iterative MAP Approach to Blind Estimation of SIMO FIR Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 1, pp. 330-337, January 2012, doi: 10.1587/transfun.E95.A.330.
Abstract: In this paper, we present a maximum a posteriori probability (MAP) approach to the problem of blind estimation of single-input, multiple-output (SIMO), finite impulse response (FIR) channels. A number of methods have been developed to date for this blind estimation problem. Some of those utilize prior knowledge on input signal statistics. However, there are very few that utilize channel statistics too. In this paper, the unknown channel to be estimated is assumed as the frequency-selective Rayleigh fading channel, and we incorporate the channel prior distributions (and hyperprior distributions) into our model in two different ways. Then for each case an iterative MAP estimator is derived approximately. Performance comparisons over existing methods are conducted via numerical simulation on randomly generated channel coefficients according to the Rayleigh fading channel model. It is shown that improved estimation performance can be achieved through the MAP approaches, especially for such channel realizations that have resulted in large estimation error with existing methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.330/_p
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@ARTICLE{e95-a_1_330,
author={Koji HARADA, Hideaki SAKAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Iterative MAP Approach to Blind Estimation of SIMO FIR Channels},
year={2012},
volume={E95-A},
number={1},
pages={330-337},
abstract={In this paper, we present a maximum a posteriori probability (MAP) approach to the problem of blind estimation of single-input, multiple-output (SIMO), finite impulse response (FIR) channels. A number of methods have been developed to date for this blind estimation problem. Some of those utilize prior knowledge on input signal statistics. However, there are very few that utilize channel statistics too. In this paper, the unknown channel to be estimated is assumed as the frequency-selective Rayleigh fading channel, and we incorporate the channel prior distributions (and hyperprior distributions) into our model in two different ways. Then for each case an iterative MAP estimator is derived approximately. Performance comparisons over existing methods are conducted via numerical simulation on randomly generated channel coefficients according to the Rayleigh fading channel model. It is shown that improved estimation performance can be achieved through the MAP approaches, especially for such channel realizations that have resulted in large estimation error with existing methods.},
keywords={},
doi={10.1587/transfun.E95.A.330},
ISSN={1745-1337},
month={January},}
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TY - JOUR
TI - An Iterative MAP Approach to Blind Estimation of SIMO FIR Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 330
EP - 337
AU - Koji HARADA
AU - Hideaki SAKAI
PY - 2012
DO - 10.1587/transfun.E95.A.330
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2012
AB - In this paper, we present a maximum a posteriori probability (MAP) approach to the problem of blind estimation of single-input, multiple-output (SIMO), finite impulse response (FIR) channels. A number of methods have been developed to date for this blind estimation problem. Some of those utilize prior knowledge on input signal statistics. However, there are very few that utilize channel statistics too. In this paper, the unknown channel to be estimated is assumed as the frequency-selective Rayleigh fading channel, and we incorporate the channel prior distributions (and hyperprior distributions) into our model in two different ways. Then for each case an iterative MAP estimator is derived approximately. Performance comparisons over existing methods are conducted via numerical simulation on randomly generated channel coefficients according to the Rayleigh fading channel model. It is shown that improved estimation performance can be achieved through the MAP approaches, especially for such channel realizations that have resulted in large estimation error with existing methods.
ER -
English
