The Cramer-Rao Bound for channel estimation in block fading amplify-and-forward relaying networks
- Author
- Nico Aerts (UGent) , Iancu Avram (UGent) and Marc Moeneclaey (UGent)
- Organization
- Abstract
- In this paper, we express the Cramer-Rao Bound (CRB) for channel coefficient and noise variance estimation at the destination of an Amplify-and- Forward (AF) based cooperative system, in terms of the a posteriori expectation of the codewords. An algorithm based on factor graphs can be applied in order to calculate this expectation. As the computation of the CRB is rather intensive, the modified CRB (MCRB), which is a looser bound, is derived in closed form. It can be shown that the MCRB coincides with the CRB in the high signal-to-noise ratio (SNR) limit and to that end the CRB/MCRB ratio is simulated in case of uncoded and convolutional encoded transmission.
- Keywords
- Amplify-and-Forward, Cramer-Rao Bound, modified CRB, cooperative communication
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1091020
- MLA
- Aerts, Nico, et al. “The Cramer-Rao Bound for Channel Estimation in Block Fading Amplify-and-Forward Relaying Networks.” IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS, IEEE, 2010, pp. 12–16, doi:10.1109/ISSSTA.2010.5651393.
- APA
- Aerts, N., Avram, I., & Moeneclaey, M. (2010). The Cramer-Rao Bound for channel estimation in block fading amplify-and-forward relaying networks. IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS, 12–16. https://doi.org/10.1109/ISSSTA.2010.5651393
- Chicago author-date
- Aerts, Nico, Iancu Avram, and Marc Moeneclaey. 2010. “The Cramer-Rao Bound for Channel Estimation in Block Fading Amplify-and-Forward Relaying Networks.” In IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS, 12–16. New York, NY, USA: IEEE. https://doi.org/10.1109/ISSSTA.2010.5651393.
- Chicago author-date (all authors)
- Aerts, Nico, Iancu Avram, and Marc Moeneclaey. 2010. “The Cramer-Rao Bound for Channel Estimation in Block Fading Amplify-and-Forward Relaying Networks.” In IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS, 12–16. New York, NY, USA: IEEE. doi:10.1109/ISSSTA.2010.5651393.
- Vancouver
- 1.Aerts N, Avram I, Moeneclaey M. The Cramer-Rao Bound for channel estimation in block fading amplify-and-forward relaying networks. In: IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS. New York, NY, USA: IEEE; 2010. p. 12–6.
- IEEE
- [1]N. Aerts, I. Avram, and M. Moeneclaey, “The Cramer-Rao Bound for channel estimation in block fading amplify-and-forward relaying networks,” in IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS, Taichung, Taiwan, 2010, pp. 12–16.
@inproceedings{1091020, abstract = {{In this paper, we express the Cramer-Rao Bound (CRB) for channel coefficient and noise variance estimation at the destination of an Amplify-and- Forward (AF) based cooperative system, in terms of the a posteriori expectation of the codewords. An algorithm based on factor graphs can be applied in order to calculate this expectation. As the computation of the CRB is rather intensive, the modified CRB (MCRB), which is a looser bound, is derived in closed form. It can be shown that the MCRB coincides with the CRB in the high signal-to-noise ratio (SNR) limit and to that end the CRB/MCRB ratio is simulated in case of uncoded and convolutional encoded transmission.}}, author = {{Aerts, Nico and Avram, Iancu and Moeneclaey, Marc}}, booktitle = {{IEEE INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS PROCEEDINGS}}, isbn = {{9781424460144}}, issn = {{1943-7439}}, keywords = {{Amplify-and-Forward,Cramer-Rao Bound,modified CRB,cooperative communication}}, language = {{eng}}, location = {{Taichung, Taiwan}}, pages = {{12--16}}, publisher = {{IEEE}}, title = {{The Cramer-Rao Bound for channel estimation in block fading amplify-and-forward relaying networks}}, url = {{http://doi.org/10.1109/ISSSTA.2010.5651393}}, year = {{2010}}, }
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