Improved Carrier Frequency-Shifting Algorithm Based on 2-FFT for Phase Wrap Reduction
Author(s) -
Zhouqiang Zhang,
Feilei Wang,
Guangshen Xu,
Jiangtao Jia,
Xuejing Liu,
Cao Ya-bin
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/6664841
Subject(s) - fast fourier transform , reduction (mathematics) , phase (matter) , frequency domain , algorithm , prime factor fft algorithm , residual , split radix fft algorithm , carrier signal , computer science , electronic engineering , mathematics , fourier transform , telecommunications , physics , engineering , short time fourier transform , fourier analysis , computer vision , mathematical analysis , geometry , quantum mechanics , transmission (telecommunications)
The number of phase wraps that result from the carrier component can be completely eliminated or reduced by first applying a fast Fourier transform (FFT) to the image and then shifting the spectrum to the origin. However, because the spectrum can only be shifted by an integer number, the phase wraps of the carrier component cannot be completely reduced. In this paper, an improved carrier frequency-shifting algorithm based on 2-FFT for phase wrap reduction is proposed which allows the spectrum to be shifted by a rational number. Firstly, the phase wraps are reduced by the conventional FFT frequency shift method. Secondly, the wrapped phase with residual carrier components is filtered and magnified sequentially; the amplified phase is transformed into the frequency domain using an FFT, and then, the wrapped phase with the residual carrier components can be further reduced by shifting the spectrum by a rational number. Simulations and experiments were conducted to validate the efficiency of the proposed method.
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