@inproceedings{52491ba0c26b4013a50316e40ff97c5a,
title = "Novel Criterion of Pilot Optimization in Underwater Acoustic OFDM Systems based on Compressed Sensing",
abstract = "Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in underwater acoustic (UWA) communication for the characteristics of high spectrum utilization and strong multipath fading resistance. The pilot position optimization problem based on compressed sensing channel estimation in OFDM systems is examined in this paper. To optimize the performance of sparse channel estimation, a novel criterion to measure the reconstruction property of measurement matrix is proposed. We use elements of covariance matrix represent the correlation between columns of measurement matrix. Simulation results demonstrate that the optimal pilot pattern corresponding to our criterion can get lower bit error rate (BER) and mean square error (MSE) than other pilot patterns.",
keywords = "UWA-OFDM, channel estimation, compressed sensing, mutual coherence, pilot optimization criterion",
author = "Yanan Yu and Rongkun Jiang and Wei Gao and Yue Hao and Fang Xie",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICSIDP47821.2019.9173244",
language = "English",
series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
address = "United States",
}