论文标题
水下互联网事物的单载频域检测器
Single Carrier Frequency Domain Detectors for Internet of Underwater Things
论文作者
论文摘要
本文提出了水下事物互联网（IOUT）通信的低复杂性检测。信号使用多个传感器从源传输到目的地。为了简化发射机和感觉节点的计算操作，提出了单个载体频域均衡器（SC-FDE），并采用放大和前向（AF）协议。还提出了快速的傅立叶变换（FFT）和使用环状前缀（CP）的使用，以简化与时间域均衡相比的这些算法。由于在水下通信中很难捕获精确的频道数据，因此提出了FDE的自适应实现作为解决方案，当渠道体验快速多普勒偏移时可以使用。这两个自适应探测器基于最小均方（LMS）和递归最小成方（RLS）原理。数值模拟表明，所提出的检测器的位错误率（BER）性能的性能接近理想最小均方根误差（MMSE）的性能。
This paper proposes low complexity detection for internet of underwater things (IoUT)s communication. The signal is transmitted from the source to the destination using several sensors. To simplify the computational operations at the transmitter and the sensory nodes, a single carrier frequency domain equalizer (SC-FDE) is proposed and amplify-and-forward (AF) protocols are employed. Fast Fourier transform (FFT) and use of cyclic prefix (CP) are also proposed to simplify these algorithms when compared to time-domain equalization. As precise channel data is difficult to capture in underwater communications, the adaptive implementation of FDE is proposed as a solution that can be employed when the channel experiences a fast doppler shift. The two adaptive detectors are based on the least mean-square (LMS) and recursive least square (RLS) principles. Numerical simulations show that the performance of the bit error rate (BER) performance of the proposed detectors is close to that of the ideal minimum mean square error (MMSE).
