用于认知跳频的归一化谱双向搜索感知算法
发布时间：2019-02-23 13:00
【摘要】：认知跳频被认为是消除传统跳频系统用频困扰的有效途径之一。针对认知跳频超宽带和多频隙实时频谱感知的需求,给出基于归一化谱双向搜索(bidirectional search of normalized power-spectrum,BSNP)的感知算法,BSNP以跳频频隙内的归一化功率谱作为检验统计量,通过顺序执行正向和反向搜索,感知出跳频带宽中已被占用的所有频隙。利用傅里叶变换的渐进正态性和相互独立性,可推导BSNP单次判决虚警概率的数学表达式和判决门限的闭式表达式。分析和仿真表明,BSNP可以准确地找出频带内被占用的频隙,相比于常规谱估计感知算法,可有效克服噪声不确定度对频谱感知性能的影响。
[Abstract]:Cognitive frequency hopping is considered to be one of the effective ways to eliminate the problem of frequency hopping in traditional frequency hopping systems. Aiming at the demand of cognitive frequency hopping ultra-wideband (UWB) and multi-frequency slot real-time spectrum sensing, a sensing algorithm based on normalized spectrum bidirectional search (bidirectional search of normalized power-spectrum,BSNP) is presented. BSNP uses normalized power spectrum in hopping frequency slot as the test statistic. By performing sequential forward and reverse searches, all the frequency slots that have been occupied in the hopping bandwidth are sensed. By using the asymptotic normality and mutual independence of Fourier transform, the mathematical expression of BSNP single decision false alarm probability and the closed expression of decision threshold can be derived. The analysis and simulation show that BSNP can accurately find the frequency slots occupied in the frequency band. Compared with the conventional spectrum estimation sensing algorithm, BSNP can effectively overcome the influence of noise uncertainty on spectrum sensing performance.
【作者单位】： 西安电子科技大学综合业务网国家重点实验室;
【基金】：国家自然科学基金(61102058,61301179)资助课题
【分类号】：TN914.41
[Abstract]:Cognitive frequency hopping is considered to be one of the effective ways to eliminate the problem of frequency hopping in traditional frequency hopping systems. Aiming at the demand of cognitive frequency hopping ultra-wideband (UWB) and multi-frequency slot real-time spectrum sensing, a sensing algorithm based on normalized spectrum bidirectional search (bidirectional search of normalized power-spectrum,BSNP) is presented. BSNP uses normalized power spectrum in hopping frequency slot as the test statistic. By performing sequential forward and reverse searches, all the frequency slots that have been occupied in the hopping bandwidth are sensed. By using the asymptotic normality and mutual independence of Fourier transform, the mathematical expression of BSNP single decision false alarm probability and the closed expression of decision threshold can be derived. The analysis and simulation show that BSNP can accurately find the frequency slots occupied in the frequency band. Compared with the conventional spectrum estimation sensing algorithm, BSNP can effectively overcome the influence of noise uncertainty on spectrum sensing performance.
【作者单位】： 西安电子科技大学综合业务网国家重点实验室;
【基金】：国家自然科学基金(61102058,61301179)资助课题
【分类号】：TN914.41
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