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一种快速有效的正弦波信号频率估计方法*
引用本文:温兵会,毛卫宁.一种快速有效的正弦波信号频率估计方法*[J].应用声学,2020,39(4):512-517.
作者姓名:温兵会  毛卫宁
作者单位:东南大学网络空间安全学院,东南大学 信息科学与工程学院 南京
基金项目:国家自然科学基金项目(61871124), 水声技术实验室稳定支持项目(JCKYS2019604SSJSSO12), 声呐技术重点实验室基金项目(6142109KF201806)
摘    要:针对I-Rife算法和Fang算法计算量增大,低信噪比时性能下降,该文提出了一种快速有效的正弦信号频率精确估计方法,利用两点细化的频谱值估计频率偏移量,不需要判别频率修正方向,降低了算法复杂度和计算量;分析了频偏估计的偏差。仿真结果表明,该算法的整体性能优于I-Rife算法和改进的Fang算法,在保证性能的同时,提高了算法的稳定性和实用性。

关 键 词:频率估计  频率细化  频率修正方向  克拉美罗界
收稿时间:2019/8/21 0:00:00
修稿时间:2020/6/29 0:00:00

A fast and effective sinusoidal signal frequency estimation
WEN Binghui and MAO Weining.A fast and effective sinusoidal signal frequency estimation[J].Applied Acoustics,2020,39(4):512-517.
Authors:WEN Binghui and MAO Weining
Institution:School of Cyber Science and Engineering,Southeast University,School of Cyber Science and Engineering,Southeast University
Abstract:For the I-Rife algorithm and the Fang algorithm, the computational load is increased and the performance is low at low SNR. In this paper, a fast and effective sinusoidal signal frequency estimation method is proposed. The frequency offset is estimated by using two refined spectral values. Without discriminating the frequency correction direction that reduces the computational complexity of the algorithm. The bias of the frequency offset estimation is analyzed. The simulation results show that the overall performance of the proposed algorithm is better than the I-Rife algorithm and the improved Fang algorithm, which improves the stability and practicability of the algorithm while ensuring performance.
Keywords:frequency estimation  frequency refinement  frequency correction direction  cramer-rao lower bound
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