@inproceedings{080da388856a4029827b8cea2e8854ec,
title = "Near ML soft bit estimation for APSK with very low complexity",
abstract = "This paper proposes soft bit estimation methods for high-order amplitude and phase shift keying (APSK) schemes defined in the DVB-S2X system. The proposed method first maps the detected symbol to a limited range in a recursive manner, so that the search ranges to find a symbol with the minimum distances can be greatly reduced. Subsequently, amplitude of the detected symbol automatically determines a single symbol to estimate the distance. We present the proposed soft bit estimation methods for 256- and 16+16+16+16-APSK schemes, and the simulation results demonstrate that the proposed methods produce almost the same performance as the full search method, with only one distance estimation per bit.",
keywords = "APSK, DVB-S2X, LDPC codes, Maximum likelihood, Soft bit estimation",
author = "Meixiang Zhang and Sooyoung Kim",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 83rd IEEE Vehicular Technology Conference, VTC Spring 2016 ; Conference date: 15-05-2016 Through 18-05-2016",
year = "2016",
month = jul,
day = "5",
doi = "10.1109/VTCSpring.2016.7504363",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings",
}