Spectrum sensing is an essential component to realize the cognitive radio, and the requirement for real-time spectrum sensing in the case of lacking prior information, fading channel, and noise uncertainty, indeed pos...Spectrum sensing is an essential component to realize the cognitive radio, and the requirement for real-time spectrum sensing in the case of lacking prior information, fading channel, and noise uncertainty, indeed poses a major challenge to the classical spectrum sensing algorithms. Based on the stochastic properties of scalar transformation of power spectral density（PSD）, a novel spectrum sensing algorithm, referred to as the power spectral density split cancellation method（PSC）, is proposed in this paper. The PSC makes use of a scalar value as a test statistic, which is the ratio of each subband power to the full band power. Besides, by exploiting the asymptotic normality and independence of Fourier transform,the distribution of the ratio and the mathematical expressions for the probabilities of false alarm and detection in different channel models are derived. Further, the exact closed-form expression of decision threshold is calculated in accordance with Neyman–Pearson criterion. Analytical and simulation results show that the PSC is invulnerable to noise uncertainty,and can achive excellent detection performance without prior knowledge in additive white Gaussian noise and flat slow fading channels. In addition, the PSC benefits from a low computational cost, which can be completed in microseconds.展开更多
A method for analyzing the dynamic energy spectrum of intense pulsed ion beam(IPIB) was proposed.Its influence on beam energy deposition in metal target was studied with IPIB produced by two types of magnetically insu...A method for analyzing the dynamic energy spectrum of intense pulsed ion beam(IPIB) was proposed.Its influence on beam energy deposition in metal target was studied with IPIB produced by two types of magnetically insulated diodes(MID).The emission of IPIB was described with space charge limitation model,and the dynamic energy spectrum was further analyzed with time-of-flight method.IPIBs generated by pulsed accelerators of BIPPAB-450(active MID) and TEMP-4M(passive MID) were studied.The dynamic energy spectrum was used to deduce the power density distribution of IPIB in the target with Monte Carlo simulation and infrared imaging diagnostics.The effect on the distribution and evolution of thermal field induced by the characteristics of IPIB dynamic energy spectrum was discussed.展开更多
随机振动台根据功率谱密度(PSD,Power Spectral Density)生成的信号为高斯信号,而实际振动环境有时是非高斯的,因此随机振动实验常常无法准确模拟产品在真实振动环境下的失效情况.通过两个案例分别对均方根值(RMS,Root Mean Square)不...随机振动台根据功率谱密度(PSD,Power Spectral Density)生成的信号为高斯信号,而实际振动环境有时是非高斯的,因此随机振动实验常常无法准确模拟产品在真实振动环境下的失效情况.通过两个案例分别对均方根值(RMS,Root Mean Square)不随时间变化和随时间变化的非高斯随机振动进行了模拟方法研究.案例1利用Hermite多项式法对高斯信号进行了转换,在保证功率谱密度不变的同时得到了具有指定峭度的RMS不随时间变化的非高斯信号,但该方法对于输入的峭度有限制,当输入峭度大于10时,误差达到了20%.案例2利用一种新方法对实测的RMS随时间变化的非高斯振动进行了模拟,模拟后得到的非高斯信号和实测信号具有相同的功率谱密度、峭度以及概率分布,验证了新方法的准确性.展开更多
基金Project supported by the National Natural Science Foundation of China(Grant No.61301179)the Doctorial Program Foundation of the Ministry of Education,China(Grant No.20110203110011)the 111 Project,China(Grant No.B08038)
文摘Spectrum sensing is an essential component to realize the cognitive radio, and the requirement for real-time spectrum sensing in the case of lacking prior information, fading channel, and noise uncertainty, indeed poses a major challenge to the classical spectrum sensing algorithms. Based on the stochastic properties of scalar transformation of power spectral density（PSD）, a novel spectrum sensing algorithm, referred to as the power spectral density split cancellation method（PSC）, is proposed in this paper. The PSC makes use of a scalar value as a test statistic, which is the ratio of each subband power to the full band power. Besides, by exploiting the asymptotic normality and independence of Fourier transform,the distribution of the ratio and the mathematical expressions for the probabilities of false alarm and detection in different channel models are derived. Further, the exact closed-form expression of decision threshold is calculated in accordance with Neyman–Pearson criterion. Analytical and simulation results show that the PSC is invulnerable to noise uncertainty,and can achive excellent detection performance without prior knowledge in additive white Gaussian noise and flat slow fading channels. In addition, the PSC benefits from a low computational cost, which can be completed in microseconds.
基金supported by the National Natural Science Foundation of China(No.11175012)the National Magnetic Confinement Fusion Program(No.2013GB109004)
文摘A method for analyzing the dynamic energy spectrum of intense pulsed ion beam(IPIB) was proposed.Its influence on beam energy deposition in metal target was studied with IPIB produced by two types of magnetically insulated diodes(MID).The emission of IPIB was described with space charge limitation model,and the dynamic energy spectrum was further analyzed with time-of-flight method.IPIBs generated by pulsed accelerators of BIPPAB-450(active MID) and TEMP-4M(passive MID) were studied.The dynamic energy spectrum was used to deduce the power density distribution of IPIB in the target with Monte Carlo simulation and infrared imaging diagnostics.The effect on the distribution and evolution of thermal field induced by the characteristics of IPIB dynamic energy spectrum was discussed.
文摘随机振动台根据功率谱密度(PSD,Power Spectral Density)生成的信号为高斯信号,而实际振动环境有时是非高斯的,因此随机振动实验常常无法准确模拟产品在真实振动环境下的失效情况.通过两个案例分别对均方根值(RMS,Root Mean Square)不随时间变化和随时间变化的非高斯随机振动进行了模拟方法研究.案例1利用Hermite多项式法对高斯信号进行了转换,在保证功率谱密度不变的同时得到了具有指定峭度的RMS不随时间变化的非高斯信号,但该方法对于输入的峭度有限制,当输入峭度大于10时,误差达到了20%.案例2利用一种新方法对实测的RMS随时间变化的非高斯振动进行了模拟,模拟后得到的非高斯信号和实测信号具有相同的功率谱密度、峭度以及概率分布,验证了新方法的准确性.
