KEYWORDS: Telecommunications, Acoustics, Ice, Signal processing, Transducers, Signal to noise ratio, Wave propagation interference, Reliability, Resistance, Water
The underwater acoustic channel under ice cover is a complex and variable channel with various interferences, which greatly limits the transmission performance and capability of communication signals. This article introduces energy monitoring technology into conventional underwater spread spectrum communication systems and explores a robust underwater spread spectrum communication model under ice cover. Enhance the anti-interference and multipath resistance of underwater acoustic communication systems through dynamic energy monitoring, comparison, and judgment processes. The communication system experiment was carried out in the underwater acoustic channel covered by ice, achieving high-quality communication transmission with zero error code and verifying the reliability of the system.
The acoustic channel in ice-covered water largely limits the transmission capacity and performance of the communication signals. Spread spectrum systems have stable performance and strong resistance to multipath interference, which can effectively cope with the interference caused by the ocean environment on signal propagation. Nevertheless, traditional direct-sequence spread spectrum systems have a low communication rate. This paper focuses on the research of an M-ary spread spectrum communication system in ice-covered water based on energy monitoring technology. It explores a robust underwater acoustic communication system that can exponentially improve information transmission capacity and bandwidth utilization. The communication encoding mode is validated in an ice-covered underwater acoustic outfield experiment, achieving zero error code transmission. The experiment verifies the feasibility of the communication system and algorithm.
Peak-to-average power ratio (PAPR) is a hot issue in orthogonal frequency division multiplex (OFDM) technology. High PAPR of OFDM system limits its application in underwater acoustic communications. The DFT-s-OFDM technology has been widely used in long term evolution (LTE) and fifth-generation new radio (5G NR) uplink transmission schemes for wireless communications due to its good PAPR performance. However, it is difficult to adapt to time-varying underwater acoustic channels by using time-multiplexed training. We use the DFT-s-OFDM technology of the sideband tone reservation method to suppress the PAPR of the system. At the same time, for the DFT-s-OFDM system, it is impossible to insert data and pilots in a single symbol block at the same time to track the channels. A low-power training sequence is superimposed with symbols, and the training sequence is transmitted over all time. It is used to enhance the tracking channel capability with a small energy overhead and is used to process time-varying channels. Field experiments were carried in Qiandao Lake in 2021, and the results verify the effectiveness of the proposed scheme.
The rapid development of underwater acoustic sensor networks(UASNs) will greatly improve people's ability to perceive and apply the ocean. The positional information of network nodes plays a vital role in UASNs system. Aiming at the problems of multiple access interference and location beacon selection in traditional location methods, this paper proposes a multiple access method combined with FDMA / CDMA, which optimizes the division of frequency band and orthogonal code resources according to the network topology to ensure that different beacon nodes send location signals with different frequencies and different orthogonal code compared, so as to realize conflict free multiple access of multiple location signals. This paper also proposes a network beacon autonomous switching method, which optimizes the transmission time of control command according to the position relationship between its own position and network nodes, updates the positioning beacon in real-time, and realizes the cross regional autonomous navigation and positioning of underwater mobile nodes. The method in this paper is verified by simulation and sea trial.
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