Parameter Estimation and Equalization Techniques for Communication Channels with Multipath and Multiple Frequency Offset
(2005) In IEEE Transactions on Communications 53(2). p.219-223- Abstract
- We consider estimation of frequency offset (FO) and equalization of a wireless communication channel, within a general framework which allows for different frequency offsets for various multipaths. Such a scenario may arise due to different Doppler shifts associated with various multipaths, or in situations where multiple basestations are used to transmit identical information. For this general framework, we propose an approximative maximum-likelihood estimator exploiting the correlation property of the transmitted pilot signal. We further show that the conventional minimum mean-square error equalizer is computationally cumbersome, as the effective channel-convolution matrix changes deterministically between symbols, due to the multiple... (More)
- We consider estimation of frequency offset (FO) and equalization of a wireless communication channel, within a general framework which allows for different frequency offsets for various multipaths. Such a scenario may arise due to different Doppler shifts associated with various multipaths, or in situations where multiple basestations are used to transmit identical information. For this general framework, we propose an approximative maximum-likelihood estimator exploiting the correlation property of the transmitted pilot signal. We further show that the conventional minimum mean-square error equalizer is computationally cumbersome, as the effective channel-convolution matrix changes deterministically between symbols, due to the multiple FOs. Exploiting the structural property of these variations, we propose a computationally efficient recursive algorithm for the equalizer design. Simulation results show that the proposed estimator is statistically efficient, as the mean-square estimation error attains the Cramer-Rao lower bound. Further, we show via extensive simulations that our proposed scheme significantly outperforms equalizers not employing FO estimation. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1216091
- author
- Ahmed, Sajid ; Lambotharan, Sangarapillai ; Jakobsson, Andreas LU and Chambers, Jonathon
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- frequency offset (FO) estimation, minimum mean-square error (MMSE) equalizer and complexity, wireless multipath channels, FADING CHANNELS
- in
- IEEE Transactions on Communications
- volume
- 53
- issue
- 2
- pages
- 219 - 223
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:15544382222
- ISSN
- 0090-6778
- DOI
- 10.1109/TCOMM.2004.841970
- language
- English
- LU publication?
- no
- id
- e92092d6-20ef-46a6-8c23-0e3b2ce30c78 (old id 1216091)
- date added to LUP
- 2016-04-01 15:21:56
- date last changed
- 2022-01-28 04:59:41
@article{e92092d6-20ef-46a6-8c23-0e3b2ce30c78, abstract = {{We consider estimation of frequency offset (FO) and equalization of a wireless communication channel, within a general framework which allows for different frequency offsets for various multipaths. Such a scenario may arise due to different Doppler shifts associated with various multipaths, or in situations where multiple basestations are used to transmit identical information. For this general framework, we propose an approximative maximum-likelihood estimator exploiting the correlation property of the transmitted pilot signal. We further show that the conventional minimum mean-square error equalizer is computationally cumbersome, as the effective channel-convolution matrix changes deterministically between symbols, due to the multiple FOs. Exploiting the structural property of these variations, we propose a computationally efficient recursive algorithm for the equalizer design. Simulation results show that the proposed estimator is statistically efficient, as the mean-square estimation error attains the Cramer-Rao lower bound. Further, we show via extensive simulations that our proposed scheme significantly outperforms equalizers not employing FO estimation.}}, author = {{Ahmed, Sajid and Lambotharan, Sangarapillai and Jakobsson, Andreas and Chambers, Jonathon}}, issn = {{0090-6778}}, keywords = {{frequency offset (FO) estimation; minimum mean-square error (MMSE) equalizer and complexity; wireless multipath channels; FADING CHANNELS}}, language = {{eng}}, number = {{2}}, pages = {{219--223}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Communications}}, title = {{Parameter Estimation and Equalization Techniques for Communication Channels with Multipath and Multiple Frequency Offset}}, url = {{http://dx.doi.org/10.1109/TCOMM.2004.841970}}, doi = {{10.1109/TCOMM.2004.841970}}, volume = {{53}}, year = {{2005}}, }