Performance of Differential Chirp Spread Spectrum in Underwater Acoustic Channel
Abstract
In recent years, connecting fishing nets underwater has received much interest in carrying out fishing activities efficiently and protecting the ocean from pollution, especially from ghost fishing. In this paper, we propose an implementation of a system based on the differential chirp spread spectrum (DCSS) technique to connect fishing nets underwater while preserving the biotope from acoustic pollution. This technique is based on differential encoding, making it more robust to Doppler shift. Besides, it exploits the orthogonality of chirps to deal with inter-symbol interference and improve spectral efficiency. Furthermore, an estimation of the channel and equalization processes are used to eliminate the multipath effect, which is very present in underwater acoustic (UWA) channels. The performance of our system is evaluated in terms of bit error rate (BER) in a lake trial.
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