Maximum Likelihood Decoding for Gaussian Noise Channels With Gain or Offset Mismatch

作者：Weber Jos H^*; Immink Kees A Schouhamer

来源：IEEE Communications Letters, 2018, 22(6): 1128-1131.

DOI：10.1109/LCOMM.2018.2809749

• Maximum likelihood decoding
• gain mismatch
• offset mismatch
• non-volatile memories

Besides the omnipresent noise, other important inconveniences in communication and storage systems are formed by gain and/or offset mismatches. In the prior art, a maximum likelihood (ML) decision criterion has already been developed for Gaussian noise channels suffering from unknown gain and offset mismatches. Here, such criteria are considered for Gaussian noise channels suffering from either an unknown offset or an unknown gain. Furthermore, ML decision criteria are derived when assuming a Gaussian or uniform distribution for the offset in the absence of gain mismatch.

• 出版日期2018-6