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Superimposed training low probability of detection underwater communications
Journal article   Open access   Peer reviewed

Superimposed training low probability of detection underwater communications

Fabio B. Louza and Harry A. DeFerrari
The Journal of the Acoustical Society of America, Vol.148(3), pp.EL273-EL278
2020-09-01
PMID: 33003891

Abstract

Audiology & Speech-Language Pathology Life Sciences & Biomedicine Science & Technology Acoustics Technology
This paper proposes a superimposed training method for low probability of detection underwater acoustic communications. A long pilot sequence was superimposed to the message for equalization and synchronization purposes. A fast Hadamard transform (FHT) estimated the channel impulse response and compressed the pilot energy. A Wiener filter performed equalization. The interference signal was removed using hyperslice cancellation by coordinate zeroing. An inverse FHT decompressed the remaining sequence energy and the message was retrieved. Results from a shallow water experiment presented bit error rates < 10 - 2 for signal-to-noise ratios < - 8 dB.
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https://doi.org/10.1121/10.0001934View
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