Open AccessSignal‐to‐noise ratio mismatch in polar codes
Author(s) -
Zhang Qingshuang,
Liu Aijun,
Zhang Yingxian
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.3729
Subject(s) - polar , signal to noise ratio (imaging) , decoding methods , algorithm , bit error rate , computer science , polar code , noise (video) , sensitivity (control systems) , signal (programming language) , electronic engineering , telecommunications , physics , engineering , artificial intelligence , image (mathematics) , programming language , astronomy
Theoretically, the accurate signal‐to‐noise ratio (SNR) is necessary when using a successive cancelation (SC) or belief propagation (BP) decoder for polar codes. However, the effect of an SNR mismatch on the bit error rate performance of polar codes has not been addressed yet. The sensitivity of polar decoding with SC and BP decoders to the mismatch of SNR is studied. Theoretical and simulation results show that an estimation of SNR is not necessary for polar codes from a practical point of view.