Paper
13 December 2021 An algorithm for instantaneous frequency extraction of incomplete signal based on Viterbi algorithm
Xikai He, Daping Bi, Yang Zhou
Author Affiliations +
Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 1208720 (2021) https://doi.org/10.1117/12.2624917
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China
Abstract
This paper proposes an algorithm for extracting the instantaneous frequency of the incomplete signal under low SNR based on the Viterbi algorithm. We first set the corresponding parameters, and use STFT to project the signal onto the time frequency plane. Locate the maximum value of the plane, thereby positioning the signal component. Taking the time point as the axis, the time-frequency plane is divided into two parts before and after. The Viterbi algorithm with threshold detection is performed in the front and back parts to extract the instantaneous frequency of the signal, and connect them into a complete instantaneous frequency of the signal component. After that, zeroing is performed near the extracted IF path, and then the maximum value in the full plane is re-searched to extract the instantaneous frequency of the next component. Experiments show that the algorithm has achieved good results under the low signal-to-noise ratio condition.
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Xikai He, Daping Bi, and Yang Zhou "An algorithm for instantaneous frequency extraction of incomplete signal based on Viterbi algorithm", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 1208720 (13 December 2021); https://doi.org/10.1117/12.2624917
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KEYWORDS
Signal to noise ratio

Time-frequency analysis

Signal detection

Detection and tracking algorithms

Interference (communication)

Fourier transforms

Iterated function systems

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