Structured channel estimation methods for cooperative underwater communication

Authors:
Nicholas Richard;Urbashi Mitra
Affiliations:
University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA
Venue:
Proceedings of the third ACM international workshop on Underwater Networks
Year:
2008

Citing 1
Cited 1

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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.