Confidence interval estimation for bit error rates in high-speed serial links

Zhuo Chen; Kezhu Song; Chengyang Zhu; Dongwei Zou

doi:10.1117/12.3039329

4 September 2024 Confidence interval estimation for bit error rates in high-speed serial links

Zhuo Chen, Kezhu Song, Chengyang Zhu, Dongwei Zou

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132591N (2024) https://doi.org/10.1117/12.3039329
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

We present a novel approach for estimating confidence intervals (CIs) of bit error rates (BERs) in high-speed serial links, addressing the shortcomings of the conventional binomial method, which inaccurately presumes errors to be independent and identically distributed. Next, we introduce an alternate method which computes the CI from the Markov chain model of decision-feedback-equalization-induced error propagation in high-speed serial links, illustrating the difference of error distributions obtained by this method and the conventional approach. Finally, we propose a technique that curtails the computation time of our introduced Markov-chain-based method from quadratic growth to a more tractable level, thereby making the proposed method more practical when estimating CIs for low-BER systems. This method has the potential for enhanced accuracy in BER estimation for high-speed serial links.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhuo Chen, Kezhu Song, Chengyang Zhu, and Dongwei Zou "Confidence interval estimation for bit error rates in high-speed serial links", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132591N (4 September 2024); https://doi.org/10.1117/12.3039329

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