TY - GEN
T1 - A non-stationary signal preprocessing method based on STFT for CW radio doppler signal
AU - Wang, Zhengshun
AU - Song, Ping
AU - Tang, Qiang
AU - Rui, Yan
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/12/9
Y1 - 2020/12/9
N2 - In this paper, several common time-frequency analysis methods of nonstationary signals are discussed, and a mixed signal with noise is used in the analysis of these methods, whose advantages and disadvantages are analyzed in detail. We propose an improved method time-frequency analysis based on STFT, which is more suitable for analyzing the time-frequency of continuous wave radio Doppler signal generated in the meeting of missile and target. After short-time Fourier transforming of the signal, reassign the frequency and time distribution points to the gravity center of each PSD estimated point in order to ensure the accuracy of estimation as far as possible. Then filter and estimate the reassigned spectrogram of the signal with a suitable threshold. The method mentioned above was used to process the real experimental data, and good results were obtained, which proves the feasibility and effectiveness of it, and it will support subsequent information processing or calculation strongly.
AB - In this paper, several common time-frequency analysis methods of nonstationary signals are discussed, and a mixed signal with noise is used in the analysis of these methods, whose advantages and disadvantages are analyzed in detail. We propose an improved method time-frequency analysis based on STFT, which is more suitable for analyzing the time-frequency of continuous wave radio Doppler signal generated in the meeting of missile and target. After short-time Fourier transforming of the signal, reassign the frequency and time distribution points to the gravity center of each PSD estimated point in order to ensure the accuracy of estimation as far as possible. Then filter and estimate the reassigned spectrogram of the signal with a suitable threshold. The method mentioned above was used to process the real experimental data, and good results were obtained, which proves the feasibility and effectiveness of it, and it will support subsequent information processing or calculation strongly.
KW - Radio Doppler Signal
KW - STFT
KW - Time-frequency Analysis
UR - http://www.scopus.com/inward/record.url?scp=85102942472&partnerID=8YFLogxK
U2 - 10.1145/3448823.3448845
DO - 10.1145/3448823.3448845
M3 - Conference contribution
AN - SCOPUS:85102942472
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing, ICVISP 2020
PB - Association for Computing Machinery
T2 - 4th International Conference on Vision, Image and Signal Processing, ICVISP 2020
Y2 - 9 December 2020 through 11 December 2020
ER -