@inproceedings{9bcc97f40648433d999502e7e6092c3c,
title = "Code-aided iterative SNR estimator for M-APSK signals based on expectation maximization algorithm",
abstract = "A code-aided (CA) iterative signal-to-noise ratio (SNR) estimator based on Expectation Maximization (EM) algorithm is proposed for M-ary amplitude phase shift keying (APSK) signals. The estimation algorithm utilizes a posteriori probabilities of coded bits obtained from channel decoder to improve estimation precision at low SNRs. Furthermore, Cramer-Rao bound (CRB) of the proposed CA iterative SNR estimator for M-APSK is derived and simulated numerically. Compared with the non-data-aided (NDA) EM-based estimator and momentsbased estimators for M-APSK signals, computer simulation results show that the proposed estimator exploiting a posteriori information has more excellent performance, especially at low SNRs. It is also demonstrated that the performances of the proposed CA SNR estimator for 16- And 32-APSK signals are very close to the derived CRB.",
keywords = "Code-aided, Cramer-rao bound, Expectation maximization, M-APSK, Snr estimator",
author = "Zhixin Li and Nan Wu and Hua Wang and Jingming Kuang",
year = "2013",
doi = "10.1109/VTCFall.2013.6692137",
language = "English",
isbn = "9781467361873",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013",
address = "United States",
note = "78th IEEE Vehicular Technology Conference, VTC 2013-Fall ; Conference date: 02-09-2013 Through 05-09-2013",
}