Performance comparison of doppler scale estimation methods for underwater acoustic OFDM

Authors:
Lei Wan;Zhaohui Wang;Shengli Zhou;T. C. Yang;Zhijie Shi
Affiliations:
Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT;Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT;Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT;National Sun Yat-Sen University, Kaohsiung, Taiwan;Department of Computer Science and Engineering, University of Connecticut, Storrs, CT
Venue:
Journal of Electrical and Computer Engineering - Special issue on Underwater Communications and Networking
Year:
2012

Citing 10
Cited 1

Challenges for efficient communication in underwater acoustic sensor networks

ACM SIGBED Review - Special issue on embedded sensor networks and wireless computing
A new compact multichannel receiver for underwater wireless communication networks

IEEE Transactions on Wireless Communications
Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing

IEEE Transactions on Signal Processing
Non-data-aided carrier offset estimators for OFDM with null subcarriers: identifiability, algorithms, and performance

IEEE Journal on Selected Areas in Communications
Detection, Synchronization, and Doppler Scale Estimation with Multicarrier Waveforms in Underwater Acoustic Communication

IEEE Journal on Selected Areas in Communications
Iterative Carrier Frequency Offset and Channel Estimation for Underwater Acoustic OFDM Systems

IEEE Journal on Selected Areas in Communications
Multiband OFDM for Covert Acoustic Communications

IEEE Journal on Selected Areas in Communications
Nonbinary LDPC Coding for Multicarrier Underwater Acoustic Communication

IEEE Journal on Selected Areas in Communications
The challenges of building mobile underwater wireless networks for aquatic applications

IEEE Network: The Magazine of Global Internetworking
Enhanced MIMO LMMSE Turbo Equalization: Algorithm, Simulations, and Undersea Experimental Results

IEEE Transactions on Signal Processing

Choosing the right signal: Doppler shift estimation for underwater acoustic signals

Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Doppler scale estimation is one critical step needed by the resampling operation in acoustic communication receivers. In this paper, we compare different Doppler scale estimation methods using either cyclic-prefixed (CP) or zero-padded (ZP) orthogonalfrequency division-multiplexing (OFDM) waveforms. For a CP-OFDM preamble, a self-correlation method allows for blind Doppler scale estimation based on an embedded repetition structure while a cross-correlation method is available with the knowledge of the waveform. For each received ZP-OFDM block, the existence of null subcarriers allows for blind Doppler scale estimation. In addition, a pilot-aided method and a decision-aided method are applicable based on cross-correlation with templates constructed from symbols on pilot subcarriers only and from symbols on all subcarriers after data decoding, respectively. This paper carries out extensive comparisons among these methods using both simulated and real experimental data. Further, the applicabilities of these methods to distributed multiuser systems are investigated.