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Appl. Sci. 2018, 8(1), 58; doi:10.3390/app8010058

Study on the Structure of an Efficient Receiver for Covert Underwater Communication Using Direct Sequence Spread Spectrum

1
Department of Radio Communication Engineering, Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-gu, Busan 49112, Korea
2
Agency for Defense Development, P.O. Box 18, Jinhae-gu, Changwon-si, Gyeongsangnam-do 51678, Korea
*
Author to whom correspondence should be addressed.
Received: 16 November 2017 / Revised: 20 December 2017 / Accepted: 22 December 2017 / Published: 3 January 2018
(This article belongs to the Special Issue Underwater Acoustics, Communications and Information Processing)
View Full-Text   |   Download PDF [1548 KB, uploaded 3 January 2018]   |  

Abstract

This paper proposes an underwater communication receive model based on the spread spectrum technique in order to provide the characteristic of a low probability of interception. To do this, turbo equalization techniques employing Bahl-Cocke-Jelinek-Raviv (BCJR) decoding to improve performance through repetition are applied to offer excellent performance even at a low signal to noise ratio (SNR) of transmitted signals due to the spread spectrum technique. A turbo equalization model based on RAKE which increase signal power by summing the received signal through the multipath is proposed to compensate distorted data due to multipath channel and the performance improvements were proven by applying the threshold and weighted coefficient in the RAKE receiver model. The model was applied to covert underwater communication in a multi-sensor environment, and the efficiency of the proposed method was proven through underwater experiments. View Full-Text
Keywords: underwater communication; low probability of interception; SNR; RAKE receiver; turbo equalization underwater communication; low probability of interception; SNR; RAKE receiver; turbo equalization
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Baek, C.-U.; Jung, J.-W.; Do, D.-W. Study on the Structure of an Efficient Receiver for Covert Underwater Communication Using Direct Sequence Spread Spectrum. Appl. Sci. 2018, 8, 58.

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