基于遗传算法的902-928MHz UHF-ISM波段认知无线电动态频谱分配

G. Kalaichelvi, Dhananjay Kumar, Aarti Mandal, A. Karthikeyan
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引用次数: 5

摘要

提出了一种以线性调频雷达信号为主用户(PU)的认知无线电环境集成方法。该方法采用Wigner-Hough变换过程对雷达信号进行频谱感知,并结合多目标遗传算法(MOGA)进行动态频谱分配。考虑了在雷达信号存在时干扰最小和在未检测到雷达信号时频谱效率最大化的目标。此外,还考虑了最小化功耗的目标。该工艺的功能考虑了NI-USRP®设备作为SU和雷达作为PU在ISM-UHF 902-928MHz频段上的操作,以达到所需SU参数的适应度。为了验证现有的SU与雷达共存方法,将其数据速率与本文提出的方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GA based dynamic spectrum allocation in UHF-ISM band of 902–928MHz with RADAR as primary user for cognitive radio
A novel integrated approach to Cognitive Radio environment with Radar signals of type linear frequency modulation (LFM) as Primary User (PU) is suggested in this paper. The approach consists of spectrum sensing of Radar signals through Wigner-Hough transformation process integrated with the learning and adaptation using Multi-Objective Genetic Algorithm (MOGA) for dynamic spectrum allocation. The objective of minimizing the interference in the presence of radar signal and maximizing the spectral efficiency when radar signal is not detected are considered. In addition, the objective of minimizing the power consumption is also considered. The functionality of the process considers the operation of NI-USRP® device as SU and radar as PU over ISM-UHF band of 902-928MHz for attaining the fitness's of the SU parameters as desired. For validation, existing method for co-existence of SU with radar is compared for data-rate with the proposed method.
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