Resolution Ability of Fractional Fourier Transform in Multi-component Chirp Signal Center(SC) Frequency 分数阶Fourier变换对多分量Chirp信号中心(SC)频率的分辨能力
Implementation of this method is very good signal center frequency tracking, NCO Centre for the local oscillator output signal with the input signal frequency change. 该方法很好的实现了信号中心(SC)频率的跟踪,使NCO输出的本振信号随输入信号中心(SC)频率的变化而变化。
In order to access the accurately signal center frequency, arrival time, dwell time and signal level estimation, the graphic enhancements, graphic segmentation, corrosion, expansion and skeleton processing algorithm are used in this thesis. 在密集多信号的条件下,采用图形增强、图形分割、腐蚀、膨胀以及骨架化处理等算法,精确的实现了信号中心(SC)频率、到达时间、驻留时间与信号电平的估计。
Signal analysis, including spectral analysis, specific energy computation, ringing count rate computation, event count rate computation, signal center frequency computation, autocorrelation analysis, and frequency spectrum energy instability computation. 信号分析。包括:频谱分析、能量率计算、振铃计数率计算、事件计数率计算、信号中心(SC)频率计算、自相关分析、频谱能量不稳定度计算。
The dependences of performance on the signal wavelength, the peak power of input signal, center wavelength of filter, as well as the SNR and chirp parameters of input signal are calculated and discussed in detail. 2. 分析了输入信号波长、功率、滤波器中心波长以及输入信号信噪比和啁啾等参数对系统性能的影响,给出了方案设计时参数的选择原则。