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| Title: | Improved BDFE using a priori information for turbo equalization | |
| Author (s): | Wu, Jingxian Leong, Sang-Yick Lee, Kah-Ping Xiao, Chengshan Olivier, Jan C. | |
| Department/Lab Affiliations: | Electrical and Computer Engineering | |
| Keywords: | block decision feedback equalization iterative equalization sequence detection turbo equalization | |
| Issue Date: | 2008-01 | |
| Publisher: | Institute of Electrical and Electronics Engineers IEEE | |
| Citation: | Wu, J., Leong, S.Y., Lee, K.P., Xiao, C., and Olivier, J.C. “Improved BDFE using a priori information for turbo equalization.” IEEE Transactions Wireless Communications, vol. 7, no. 1, pp. 233-240, 2008. | |
| Abstract: | Turbo equalization improves communication system performance by iteratively exchanging information between soft-input soft-output (SISO) equalizer and SISO channel decoder. The trellis-based maximum a posteriori probability (MAP) algorithm serves as the optimum SISO equalizer for turbo equalization. However, MAP algorithm is unsuitable for systems with large modulation constellation size and severe inter-symbol interference (ISI) due to its prohibitively high computational complexity. In this paper, an improved SISO block decision feedback equalizer (BDFE) is proposed for low complexity turbo equalization. Unlike other sub-optimum equalizers which perform symbol by symbol detection, the proposed equalizer generates the soft output for each data bit by collecting information from a sequence of samples as in MAP algorithm. The sequence-based equalization is enabled by using not only soft a priori input from channel decoder, but also hard a priori information obtained from BDFE in previous iteration. The combination of soft a priori information and hard a priori information renders better performance with less iterations compared to other sub-optimum algorithms. In addition, the computational complexity of the proposed algorithm is on the same order as conventional SISO BDFE algorithm, and is much lower compared to the trellis-based MAP algorithm. | |
| Type: | Article - Journal text | |
| In Title: | IEEE Transactions on Wireless Communications | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. allows publisher's final version to be uploaded FULL COPYRIGHT INFORMATION: | |
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| title | Improved BDFE using a priori information for turbo equalization | |
| contributor.author | Wu, Jingxian | |
| contributor.author | Leong, Sang-Yick | |
| contributor.author | Lee, Kah-Ping | |
| contributor.author | Xiao, Chengshan | |
| contributor.author | Olivier, Jan C. | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.sponsor | National Science Foundation | |
| contributor.sponsor | Office of Naval Research | |
| subject | block decision feedback equalization | |
| subject | iterative equalization | |
| subject | sequence detection | |
| subject | turbo equalization | |
| date.issued | 2008-01 | |
| publisher | Institute of Electrical and Electronics Engineers IEEE | |
| identifier.citation | Wu, J., Leong, S.Y., Lee, K.P., Xiao, C., and Olivier, J.C. “Improved BDFE using a priori information for turbo equalization.” IEEE Transactions Wireless Communications, vol. 7, no. 1, pp. 233-240, 2008. | |
| identifier.pub.URI | ||
| description.abstract | Turbo equalization improves communication system performance by iteratively exchanging information between soft-input soft-output (SISO) equalizer and SISO channel decoder. The trellis-based maximum a posteriori probability (MAP) algorithm serves as the optimum SISO equalizer for turbo equalization. However, MAP algorithm is unsuitable for systems with large modulation constellation size and severe inter-symbol interference (ISI) due to its prohibitively high computational complexity. In this paper, an improved SISO block decision feedback equalizer (BDFE) is proposed for low complexity turbo equalization. Unlike other sub-optimum equalizers which perform symbol by symbol detection, the proposed equalizer generates the soft output for each data bit by collecting information from a sequence of samples as in MAP algorithm. The sequence-based equalization is enabled by using not only soft a priori input from channel decoder, but also hard a priori information obtained from BDFE in previous iteration. The combination of soft a priori information and hard a priori information renders better performance with less iterations compared to other sub-optimum algorithms. In addition, the computational complexity of the proposed algorithm is on the same order as conventional SISO BDFE algorithm, and is much lower compared to the trellis-based MAP algorithm. | |
| type | Article - Journal | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights | allows publisher's final version to be uploaded | |
| rights.URI | ||
| rights.URI | ||
| rights.URI | ||
| relation.isPartOf | IEEE Transactions on Wireless Communications | |
| date.accessioned | 2008-07-23T18:40:04Z | |
| date.available | 2008-07-31T20:44:03Z | |
| identifier.persist.URI | ||
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