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Cognitive Interference Cancellation with Digital Channelizer for Satellite Communication

机译:卫星通信用数字信道器消除认知干扰

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摘要

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.
机译:物联网(IoT)的概念已吸引了许多研究关注,以实现智能社会。但是,现有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域中的许多设备。因此,卫星网络被认为是物联网(即全球规模的物联网)的广泛小区覆盖的最有吸引力的解决方案之一。在卫星通信中,数字信道器是支持多个转发器的最重要的部分之一。由于其广泛的覆盖范围,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,考虑了使用数字通道器固有特性的认知干扰消除。所提出的方法检测被干扰破坏的子信道并省略它。提出了一种简单的能量检测方法和改进版本来检测干扰。在修改(即改进)的方法中,通过利用快速傅里叶变换的特性,可以减少实现目标检测性能所需的信号块的数量,即在相同数量的块的情况下提高检测性能( FFT)算法。分析了虚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,在所提出的方法中低于一定水平的干扰不需要被消除。

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