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An importance sampling simulation method for Bayesian decision feedback equalizers

An importance sampling simulation method for Bayesian decision feedback equalizers
An importance sampling simulation method for Bayesian decision feedback equalizers
An importance sampling (IS) simulation technique is presented for evaluating the lower-bound bit error rate (BER) of the Bayesian decision feedback equalizer (DFE) under the assumption of correct decisions being fed back. A design procedure is developed, which chooses appropriate bias vectors for the simulation density to ensure asymptotic efficiency of the IS simulation.
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, Sheng and Hanzo, Lajos (2000) An importance sampling simulation method for Bayesian decision feedback equalizers. 5th International Conference on Mathematics and Computing, Kalinga Institute of Industrial Technology, Bhubaneswar, India. 06 - 09 Feb 2019. 4 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

An importance sampling (IS) simulation technique is presented for evaluating the lower-bound bit error rate (BER) of the Bayesian decision feedback equalizer (DFE) under the assumption of correct decisions being fed back. A design procedure is developed, which chooses appropriate bias vectors for the simulation density to ensure asymptotic efficiency of the IS simulation.

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Published date: 18 December 2000
Venue - Dates: 5th International Conference on Mathematics and Computing, Kalinga Institute of Industrial Technology, Bhubaneswar, India, 2019-02-06 - 2019-02-09

Identifiers

Local EPrints ID: 454014
URI: http://eprints.soton.ac.uk/id/eprint/454014
PURE UUID: 07592d8b-700d-4ff6-a32a-9ed3e35b5ebd
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 27 Jan 2022 18:18
Last modified: 28 Jan 2022 02:32

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Contributors

Author: Sheng Chen
Author: Lajos Hanzo ORCID iD

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