Abstract
Turbo equalization is an iterative approach to perform joint equalization and decoding of data, which is protected by error correction code and transmitted over intersymbol interference (ISI) channels. Turbo equalization for Reed Solomon (RS) code, which is a popular error-correction code in wireless communication and recording systems, is seldom discussed in the literature. In this paper, we investigate the computational complexity and performance of turbo equalization which exploits three different kinds of equalization algorithms, i.e., BCJR, M-BCJR and linear minimum mean square error (LMMSE) algorithms. An adaptive belief propagation (ABP) algorithm is used for the decoding of RS code. Simulation results show that, the complexities of the LMMSE and M-BCJR based equalizers are much lower than that of the BCJR based equalizer, and at the same time the performance loss is still acceptable.
| Original language | English |
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| Title of host publication | 2015 IEEE Military Communications Conference, MILCOM 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 804-808 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509000739 |
| DOIs | |
| Publication status | Published - Dec 14 2015 |
| Externally published | Yes |
| Event | 34th Annual IEEE Military Communications Conference, MILCOM 2015 - Tampa, United States Duration: Oct 26 2015 → Oct 28 2015 |
Publication series
| Name | Proceedings - IEEE Military Communications Conference MILCOM |
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| Volume | 2015-December |
Conference
| Conference | 34th Annual IEEE Military Communications Conference, MILCOM 2015 |
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| Country/Territory | United States |
| City | Tampa |
| Period | 10/26/15 → 10/28/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
ASJC Scopus Subject Areas
- Electrical and Electronic Engineering
Keywords
- Computational complexity
- Decoding
- Equalizers
- Iterative decoding
- Signal processing algorithms