Performance analysis of turbo codes based on FH-OFDM system

Pengfei Cui; Fan Zhou

doi:10.1117/12.2675360

25 May 2023 Performance analysis of turbo codes based on FH-OFDM system

Pengfei Cui, Fan Zhou

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126361T (2023) https://doi.org/10.1117/12.2675360
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

FH-OFDM system converts high-speed serial data streams into parallel transmission using frequency division multiplexing technology, which effectively improves the transmission rate and spectrum utilization of traditional frequency hopping communication system, but the reliability of communication system is difficult to guarantee due to the existence of channel fading, noise interference and other factors. In order to improve the transmission quality, the channel coding technology is usually used to improve the error detection and correction capability of the information; Turbo codes are a class of error control codes with excellent performance. The results show that the low code rate Turbo codes can improve the reliability of the transmission system more effectively, and the anti-interference performance of the system is positively related to the interleaving length.

Citation Download Citation

Pengfei Cui and Fan Zhou "Performance analysis of turbo codes based on FH-OFDM system", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126361T (25 May 2023); https://doi.org/10.1117/12.2675360

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