【摘要】：認(rèn)知跳頻被認(rèn)為是消除傳統(tǒng)跳頻系統(tǒng)用頻困擾的有效途徑之一。針對認(rèn)知跳頻超寬帶和多頻隙實時頻譜感知的需求,給出基于歸一化譜雙向搜索(bidirectional search of normalized power-spectrum,BSNP)的感知算法,BSNP以跳頻頻隙內(nèi)的歸一化功率譜作為檢驗統(tǒng)計量,通過順序執(zhí)行正向和反向搜索,感知出跳頻帶寬中已被占用的所有頻隙。利用傅里葉變換的漸進正態(tài)性和相互獨立性,可推導(dǎo)BSNP單次判決虛警概率的數(shù)學(xué)表達式和判決門限的閉式表達式。分析和仿真表明,BSNP可以準(zhǔn)確地找出頻帶內(nèi)被占用的頻隙,相比于常規(guī)譜估計感知算法,可有效克服噪聲不確定度對頻譜感知性能的影響。
[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.
【作者單位】： 西安電子科技大學(xué)綜合業(yè)務(wù)網(wǎng)國家重點實驗室;
【基金】：國家自然科學(xué)基金(61102058,61301179)資助課題
【分類號】：TN914.41

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