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Structured channel estimation methods for cooperative underwater communication
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International Conference on Mobile Computing and Networking archive
Proceedings of the third ACM international workshop on Underwater Networks table of contents
San Francisco, California, USA
POSTER SESSION: Short Papers table of contents
Pages 87-90  
Year of Publication: 2008
ISBN:978-1-60558-185-9
Authors
Nicholas Richard  University of Southern California, Los Angeles, CA, USA
Urbashi Mitra  University of Southern California, Los Angeles, CA, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper examines structured methods to perform channel estimation for cooperative underwater acoustic communication networks. A simplified channel model based on a geometric ray-tracing model is proposed. For this new model, an iterative structured channel estimation method is developed. The optimal training sequence for the method is determined. The proposed method exploits the sparse nature of underwater acoustic channels and inter-channel relationships, providing performance improvements over unstructured methods in the modest to low SNR region and robustness above that of structured single channel estimators. The efficacy of the proposed method is evaluated via simulations and compared to Cramer-Rao bounds.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
C. Carbonelli, S.-H. Chen, and U. Mitra "Error Propagation Analysis for Underwater Cooperative Multihop Communications," Elsevier Journal on Ad Hoc Networks, invited submission, to appear 2008.
 
2
M. Vajapeyam, S. Vedantam, U. Mitra, J. Preisig, and M. Stojanovic, "Distributed Space-Time Cooperative Schemes for Underwater Acoustic Communications," IEEE JOE, accepted October 2007.
 
3
W. Li and J. Preisig, "Estimation of Rapidly Time-Varying Sparse Channels", IEEE JOE, vol.32 (4), Oct '07, pp.927--939.
 
4
A. Zielinski, Y-H. Yoon and L. Wu, "Performance Analysis of Digital Acoustic Communication in a Shallow Water Channel," IEEE JOE, 20(4), pp. 293--299, October 1995.
 
5
T. Eggen, J. Preisig and A. Baggeroer, "Communication over Doppler Spread Channels - II: Receiver Characterization and Practical Results", IEEE JOE, vol.26 (4), Oct '01, pp.612--621.
 
6
N. Richard and U. Mitra, "Sparse Channel Estimation for Cooperative Underwater Communications: A Structured Multichannel Approach," IEEE ICASSP, April '08, invited.

Collaborative Colleagues:
Nicholas Richard: colleagues
Urbashi Mitra: colleagues