Superimposed training low probability of detection underwater communications | Zendy

Fabio B. Louza | Zendy; Harry A. DeFerrari | Zendy

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Superimposed training low probability of detection underwater communications

Author(s) -

Fabio B. Louza,

Harry A. DeFerrari

Publication year - 2020

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/10.0001934

Subject(s) - computer science , equalization (audio) , energy (signal processing) , wiener filter , underwater , acoustics , signal (programming language) , underwater acoustic communication , impulse (physics) , channel (broadcasting) , hadamard transform , inverse filter , underwater acoustics , filter (signal processing) , impulse response , algorithm , telecommunications , inverse , mathematics , computer vision , statistics , geology , physics , mathematical analysis , oceanography , geometry , quantum mechanics , programming language

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 for signal-to-noise ratios <-8 dB.

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