@inproceedings{a7f084e23e484b22b2c29c4f91e011a9,
title = "Clipping noise model based fast ML decoding for OSTBC and QOSTBC in clipped MIMO-OFDM systems",
abstract = "An efficient way to reduce the peak-to-average power ratio (PAPR) in OFDM systems is clipping. After the clipping in an MIMO-OFDM system, the additive noise may not be white. In this paper, we develop fast ML decoding algorithms for orthogonal space-time block codes (OSTBC) and quasi orthogonal space-time block codes (QOSTBC) in clipped MIMO-OFDM systems by using a clipping noise model with Gaussian approximation. By using the statistics of the clipping distortions, our newly proposed fast ML decoding algorithms improve the performance for clipped MIMO-OFDM systems with OSTBC and QOSTBC without increasing the decoding complexity. Simulation results are presented to illustrate the improvement.",
author = "Zhefeng Li and Xia, \{Xiang Gen\}",
year = "2007",
doi = "10.1109/ISIT.2007.4557399",
language = "English",
isbn = "1424414296",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1281--1285",
booktitle = "Proceedings - 2007 IEEE International Symposium on Information Theory, ISIT 2007",
address = "United States",
note = "2007 IEEE International Symposium on Information Theory, ISIT 2007 ; Conference date: 24-06-2007 Through 29-06-2007",
}