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Digital Communications and a Smart World: Analyzing Turbo Codes With EXIT Charts in Wireless Channels

Digital Communications and a Smart World: Analyzing Turbo Codes With EXIT Charts in Wireless Channels

Hua Zhong
Copyright: © 2019 |Pages: 28
ISBN13: 9781522581888|ISBN10: 152258188X|EISBN13: 9781522581895
DOI: 10.4018/978-1-5225-8188-8.ch007
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MLA

Zhong, Hua. "Digital Communications and a Smart World: Analyzing Turbo Codes With EXIT Charts in Wireless Channels." Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking, edited by Natarajan Meghanathan, IGI Global, 2019, pp. 136-163. https://doi.org/10.4018/978-1-5225-8188-8.ch007

APA

Zhong, H. (2019). Digital Communications and a Smart World: Analyzing Turbo Codes With EXIT Charts in Wireless Channels. In N. Meghanathan (Ed.), Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking (pp. 136-163). IGI Global. https://doi.org/10.4018/978-1-5225-8188-8.ch007

Chicago

Zhong, Hua. "Digital Communications and a Smart World: Analyzing Turbo Codes With EXIT Charts in Wireless Channels." In Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking, edited by Natarajan Meghanathan, 136-163. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8188-8.ch007

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Abstract

This chapter is devoted to digital communications in a smart world. The author examines turbo codes that are currently introduced in many international standards and implemented in numerous advanced communication systems, applied in a smart world, and evaluate the process of extrinsic information transfer (EXIT). The convergence properties of the iterative decoding process, associated with a given turbo-coding scheme, are estimated using the analysis technique based on so-called EXIT charts. This approach provides a possibility to predict the bit-error rate (BER) of a turbo code system with only the extrinsic information transfer chart. The idea is to consider the associated soft-input soft-output (SISO) stages as information processors, which map input a priori log likelihood ratios (LLRs) onto output extrinsic LLRs. Compared with other methods, the suggested approach provides insight into the iterative behavior of linear turbo systems with substantial reduction in numerical complexity.

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