Electronics and Telecommunications Research Institute, Daejeon, Korea.
Department of Electronics and Information Engineering, Korea University, Sejong, Korea.
Sensors (Basel). 2020 Jan 8;20(2):355. doi: 10.3390/s20020355.
The concept of Internet of Things (IoT) has attracted much research attention for the realization of a smart society. However, the radio transmission coverage of the existing IoT solutions is not enough to connect lots of devices deployed over wide areas. Therefore, satellite networks have been considered as one of the most attractive solutions to wide cell coverage of IoT, i.e., global-scaled IoT. In satellite communication, a digital channelizer is one of the most significant parts that support multiple transponders. Owing to their wide coverage, satellite communication systems are more vulnerable to interference than other types of wireless communication systems. In this study, a cognitive interference cancellation using the inherent properties of a digital channelizer is considered. The proposed method detects a subchannel corrupted by interference and omits it. A simple energy detection method and a modified version are proposed for detection of interference. In the modified (i.e., improved) method, the number of required signal blocks to achieve the target detection performance can be reduced, i.e., the detection performance is improved with the same number of blocks, by exploiting the property of the fast Fourier transform (FFT) algorithm. Detection performance such as false alarm and detection probabilities are analyzed, and the validity of the analysis is verified with numerical results. It is also shown that an interference lower than a certain level in the proposed approach does not need to be cancelled.
物联网（IoT）的概念吸引了大量研究关注，以实现智能社会。然而，现有的物联网解决方案的无线电传输覆盖范围不足以连接部署在广阔区域的大量设备。因此，卫星网络已被视为物联网广域覆盖（即全球规模的物联网）的最具吸引力的解决方案之一。在卫星通信中，数字信道化器是支持多个转发器的最重要部分之一。由于其覆盖范围广，卫星通信系统比其他类型的无线通信系统更容易受到干扰。在这项研究中，考虑了使用数字信道化器的固有特性进行认知干扰消除。所提出的方法检测受到干扰的子信道并将其忽略。提出了一种简单的能量检测方法和一种改进的版本用于检测干扰。在改进（即改进）方法中，可以通过利用快速傅里叶变换（FFT）算法的特性来减少达到目标检测性能所需的信号块数量，即通过相同数量的块提高检测性能。分析了错误报警和检测概率等检测性能，并通过数值结果验证了分析的有效性。还表明，在提出的方法中，低于一定水平的干扰不需要被消除。
