A fast and accurate frequency estimation algorithm for sinusoidal signal with harmonic components.
Frequency estimation is a fundamental problem in many applications, such as traditional vibration measurement, power system supervision, and microelectromechanical system sensors control. In this paper, a fast and accurate frequency estimation algorithm is proposed to deal with low efficiency problem in traditional methods. The proposed algorithm consists of coarse and fine frequency estimation steps, and we demonstrate that it is more efficient than conventional searching methods to achieve coarse frequency estimation (location peak of FFT amplitude) by applying modified zero-crossing technique. Thus, the proposed estimation algorithm requires less hardware and software sources and can achieve even higher efficiency when the experimental data increase. Experimental results with modulated magnetic signal show that the root mean square error of frequency estimation is below 0.032 Hz with the proposed algorithm, which has lower computational complexity and better global performance than conventional frequency estimation methods.
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Jinghua
J
Hu
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Mengchun
M
Pan
College of Physical and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China.
Zhidun
Z
Zeng
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Jiafei
J
Hu
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Dixiang
D
Chen
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Wugang
W
Tian
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Jianqiang
J
Zhao
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China.
Qingfa
Q
Du