Time reversal based channel tracking for underwater acoustic communications

Xia, Menglu; Xu, Wen; Pan, Xiaoyong

doi:10.1145/2398936.2398970

Cited by 2 publications

(2 citation statements)

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“…The channel coherence time can be very short in a rapidly changing environment. Hence frequent updates of channel state information are needed to track channel variations [15,17].…”

Section: Introductionmentioning

confidence: 99%

“…For all of the existing time reversal methods, e.g., Refs. [15,14,17], only a single average Doppler shift is estimated and compensated at each receiving sensor. Correction of a single average Doppler shift may be enough when the Doppler spread is not large, e.g., in the case that the Doppler shifts of different propagation paths are similar.…”

Section: Introductionmentioning

confidence: 99%

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Experimental demonstration of time reversal communication in doubly dispersive underwater channels

Zeng

2013

Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems - WUWNet '13

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It is known that the conventional time reversal (or passivephase conjugation) is not applicable to time-varying channels with large Doppler spreads. Recently a new time reversal communication technique that can simultaneously counteract delay and Doppler spreads has been proposed and tested via simulations [22]. In this paper, we present testing results from a field experiments of underwater acoustic communication, which was conducted with a fast mobile source in the Thousand-Island Lake located at Chunan, China, in December 2011. Experimental results demonstrate that the new time reversal receiver that uses a rake-like structure to compensate for multiple Doppler shifts can eliminate both Doppler spread introduced by temporal channel variations and delay spread caused by waveguide effects. As such, it provides a quite promising data transmission technique for underwater communication network.

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“…The channel coherence time can be very short in a rapidly changing environment. Hence frequent updates of channel state information are needed to track channel variations [15,17].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%