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摘要: 采用最小方差原则和梯度下降方法, 经过旋转变换, 获得频率参数和带宽参数可调的自适应二维线性正弦跟踪滤波器, 实现信号跟随与幅值估计. 把多个跟踪器并联, 形成带宽可调的多频点梳状滤波器, 得到多维线性常系数微分动力系统. 用不变原理证明梳状滤波器是一致渐近稳定的. 用拉普拉斯变换导出频率特性, 单正弦输入时为向量形式, 针对多正弦分量时为频率特性矩阵. 当输入信号所有正弦分量的频率都等于梳状滤波器频率参数时, 本算法能够同时准确跟随所有分量及其幅值. 分析了算法的频域格栅效应以及带宽参数对稳态精度的影响, 通过仿真说明了算法的有效性.Abstract: An adaptive linear two-dimension sinusoid tracer with selectable frequency and bandwidth parameters is deduced to estimate the instantaneous value and the amplitude of a sinusoid by least square error, gradient descent method and rotation transform. A number of the tracers in parallel constitute a linear comb filter with adjustable bandwidth in every frequency that is a multi-dimension linear ordinary dynamic system. The uniformly asymptotical stability of the comb filter is validated by LaSalle invariance principle. The frequency characteristics in the form of vector for a sinusoid and matrix for signal with lots of sinusoidal components are derived by Laplace transform. All components of signal as well as their amplitudes can be estimated exactly simultaneously if all frequencies of the signal are the same as the frequency parameters of the comb filter. The frequency grid effect of the proposed algorithm as well as the effect of bandwidth parameter on precision in steady state are investigated. The algorithm's validity is verified by simulation results.
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Key words:
- Adaptive tracing /
- comb filter /
- time-frequency analysis /
- frequency grid effect
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