作　　者： (崔维嘉）; (鲁航）; (巴斌）;

机构地区： 解放军信息工程大学,郑州450001

出　　处： 《电子与信息学报》 2017年第9期2141-2147,共7页

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。 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.

关 键 词： 频率估计 细化频谱 插值估计