| Title | Cross-term suppression of multi-component signals based on improved STFT-Wigner |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhu, Qianqian, Li, Yue, He, Hongchang, Huang, Gang |
| Conference Name | 2020 International Wireless Communications and Mobile Computing (IWCMC) |
| Date Published | jun |
| Keywords | cross-term suppression, Entropy, Frequency modulation, Interference, Predictive Metrics, pubcrawl, Resiliency, Scalability, short-time Fourier transform, Signal resolution, Time Frequency Analysis and Security, time-domain analysis, time-frequency aggregation, Time-frequency Analysis, Transforms, Wigner-Ville transform |
| Abstract | Cross-term interference exists in the WVD of multi-component signals in time-frequency analysis, and the STFT is limited by Heisenberg uncertainty criterion. For multicomponent signals under noisy background, this paper proposes an improved STFT-Wigner algorithm, which establishes a threshold based on the exponential multiplication result compared to the original algorithm, so as to weaken the cross term and reduce the impact of noise on the signal, and improve the time-frequency aggregation of the signal. Simulation results show that the improved algorithm has higher time-frequency aggregation than other methods. Similarly, for cross-term suppression, our method is superior to many other TF analysis methods in low signal-to-noise ratio (SNR) environment. |
| DOI | 10.1109/IWCMC48107.2020.9148174 |
| Citation Key | zhu_cross-term_2020 |
Cross-term suppression of multi-component signals based on improved STFT-Wigner