Abstract
In the cableless seafloor observation networks (SONs), the links among network nodes rely on underwater acoustic communication (UAC). Due to the energy constraint and the high-reliability requirement of the cableless SONs, the noncoherent UAC has been a preferred choice, even though a noncoherent UAC scheme generally suffers from low spectral efficiency. In this paper, we propose a high-spectral-efficiency noncoherent UAC transmission scheme which is implemented as an orthogonal frequency-division multiplexing (OFDM) system adopting the on-off keying (OOK) modulation. To simultaneously achieve high performance at a low energy consumption, an irregular recursive convolutional code (IrCC) is employed and an accumulator (ACC) is introduced to achieve a modulation with memory at the transmitter side. The ACC enables a turbo iteration between the soft demapper called the ACC-OOK demapper and the soft decoder on the receiver side, and also reduces the decoding error floor. To account for the unknown signal-to-noise ratio (SNR), an iterative threshold estimation (ITE) algorithm is proposed to determine a proper decision threshold for the ACC-OOK demapper. The IrCC is designed to match the extrinsic information transfer (EXIT) curve of the ACC-OOK demapper, lowering the SNR threshold of the aforementioned turbo iteration. Simulations and experimental results verify the superiority of the proposed noncoherent UAC scheme over conventional ones.
Highlights
The seafloor observation network (SON), as a real-time ocean observation platform, plays an essential role in the collection of ocean information, tsunami warning, positioning and navigation of vehicles, etc
Cabled SONs have been widely deployed, such as the Hawaii-2 Observatory (H2O) [1], the VENUS system deployed in Canada [2], the US NSF Regional Scale Nodes, and the NEMO-SN1 installed in Southern Italy [3]
An accumulator (ACC) is introduced before a conventional memoryless on-off keying (OOK) constellation mapping, leading to an OOK modulation with memory. It enables on the receiver a turbo iteration between the soft ACC-OOK demapper and the soft decoder and reduces the decoding error floor; An iterative threshold estimation (ITE) algorithm is proposed to seek an appropriate decision threshold for soft demapping and improve the iterative decoding performance; An irregular recursive convolutional code (IrCC) is designed by matching the extrinsic information transfer (EXIT) curve of the soft ACC-OOK demapper, so as to lower the signal-to-noise ratio (SNR)
Summary
The seafloor observation network (SON), as a real-time ocean observation platform, plays an essential role in the collection of ocean information, tsunami warning, positioning and navigation of vehicles, etc. Cabled SONs have been widely deployed, such as the Hawaii-2 Observatory (H2O) [1], the VENUS system deployed in Canada [2], the US NSF Regional Scale Nodes, and the NEMO-SN1 installed in Southern Italy [3]. The cables ensuring a high communication rate and sufficient power supply are expensive and inflexible though [4]. Cableless SONs connecting underwater sensors and instruments via acoustic links [2,5,6] provide promising alternates for future seafloor observations
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