基于细化频谱的频率迭代插值估计算法

崔维嘉; 鲁航; 巴斌

doi:10.11999/JEIT161312

基于细化频谱的频率迭代插值估计算法

doi: 10.11999/JEIT161312

基金项目:

国家自然科学基金(61401513)

计量
- 文章访问数: 1273
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- PDF下载量: 304
- 被引次数: 0
出版历程
- 收稿日期: 2016-12-08
- 修回日期: 2017-03-23
- 刊出日期: 2017-09-19

Iterative Frequency Estimation Algorithm Based on Interpolated Zoom Spectrum

Funds:

The National Natural Science Foundation of China (61401513)

摘要

摘要: 在加性高斯白噪声环境的单频复指数信号频率估计中，针对现有频率估计算法估计误差分布不均且估计精度较低的问题，该文提出一种细化频谱迭代插值估计算法。该算法首先根据半长信号的快速傅里叶变换峰值位置计算细化频谱，再利用细化频谱幅值进行频率的无偏插值估计，最后利用估计结果和全长信号更新细化频谱并进行迭代插值重估。仿真结果表明，与现有算法相比，所提算法估计误差分布均匀，且在高信噪比的所有频率范围和低信噪比的大部分频率范围内估计精度更高。同时仿真表明，所提算法在加性均匀噪声环境中也有较好的估计性能。
- 频率估计 /
- 细化频谱 /
- 插值估计
Abstract: In order to solve the problem of unhomogeneities of estimation error and expensive computing of existing algorithms, an iterative frequency estimation algorithm based on interpolated zoom spectrum is proposed. Firstly, fast Fourier transform algorithm is applied to get the frequency corresponding to the peak spectral amplitude of the half-length signal. The unbiased estimation of frequency of the signal is then given based on the zoom spectra, which are calculated with the half-length signal. The zoom spectra are updated with the complete signal and the frequency is estimated with the updated zoom spectra, lastly. Computing cost analysis proves the superiority of the algorithms when length of signal is long compared with the algorithms in the references. Simulation result verifies good performance of distribution of estimation error and estimation error of the proposed algorithm is closer to the Cramer-Rao lower bound at the circumstance of high signal to noise ratio.
- Frequency estimation /
- Zoom spectrum /
- Interpolated estimation

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参考文献(25)

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