TY - JOUR
T1 - Frequency estimation of discrete time signals based on fast iterative algorithm
AU - Pan, Xinyu
AU - Zhao, Heming
AU - Zou, Wei
AU - Zhou, Yan
AU - Ma, Jieming
AU - Wang, Jian
AU - Hu, Fuyuan
N1 - Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.
PY - 2016/3
Y1 - 2016/3
N2 - A fast iterative algorithm for frequency estimation is developed in this paper to improve the frequency tracking performance. If the signal is transformed by a mathematical tool, the signal to noise ratio (SNR) should not be greatly reduced after the transformation. The analysis presented in this paper showed that the traditional method for frequency estimation causes large noise at high frequency range, therefore, the suitable estimation range of traditional method is only from 0 to fs/6 Hz (fs is the sample frequency). In order to overcome this limitation, a new structure of iterative algorithm is established to extend the upper bound frequency from fs/6 to fs/2 Hz. The experimental noisy sinusoid signal frequency estimation and chirp signal frequency tracking confirmed that the novel algorithm showed improved performance. Furthermore, the average estimation error was decreased over 30% (under SNR = 15 dB) when applying the novel iterative algorithm. The novel iterative algorithm will have broad applications in fields of signal processing and communication systems.
AB - A fast iterative algorithm for frequency estimation is developed in this paper to improve the frequency tracking performance. If the signal is transformed by a mathematical tool, the signal to noise ratio (SNR) should not be greatly reduced after the transformation. The analysis presented in this paper showed that the traditional method for frequency estimation causes large noise at high frequency range, therefore, the suitable estimation range of traditional method is only from 0 to fs/6 Hz (fs is the sample frequency). In order to overcome this limitation, a new structure of iterative algorithm is established to extend the upper bound frequency from fs/6 to fs/2 Hz. The experimental noisy sinusoid signal frequency estimation and chirp signal frequency tracking confirmed that the novel algorithm showed improved performance. Furthermore, the average estimation error was decreased over 30% (under SNR = 15 dB) when applying the novel iterative algorithm. The novel iterative algorithm will have broad applications in fields of signal processing and communication systems.
KW - Frequency estimation
KW - Iterative algorithm
KW - Signal to noise ratio (SNR)
UR - http://www.scopus.com/inward/record.url?scp=84955295509&partnerID=8YFLogxK
U2 - 10.1016/j.measurement.2016.01.026
DO - 10.1016/j.measurement.2016.01.026
M3 - Article
AN - SCOPUS:84955295509
SN - 0263-2241
VL - 82
SP - 461
EP - 465
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
ER -