TY - GEN
T1 - An adaptive time-frequency filtering algorithm for multi-component LFM signals based on generalized S-transform
AU - Wang, Dianwei
AU - Wang, Jing
AU - Liu, Ying
AU - Xu, Zhijie
N1 - Publisher Copyright:
© 2015 Chinese Automation and Computing Society in the UK - CACS.
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Recent studies show that Cohen class bilinear time-frequency distribution methods do not have satisfactory denoising performance when analyzing multi-component LFM signals. This paper has constructed a new adaptive time-frequency filtering factor and has proposed an adaptive time-frequency filtering algorithm based on generalized S-transform. Firstly, the time-frequency distribution is obtained by transforming the time domain signals to time-frequency domain by using generalized S-transform, which is followed by calculating instantaneous frequency based on the phase information from the time-frequency distribution. Secondly, the time-frequency distribution regions occupied by clustered energy of effective signal are identified through time-frequency region extraction method and all time-frequency distribution spectrum out of the regions are removed. Thirdly, a novel TF filtering factor is constructed by the time-frequency concentration characteristic to restrain the random noise components in the regions of effective signal. Finally, the filtered signals are retrieved by using inverse generalized S-transform. Simulation results demonstrate that the proposed filtering algorithm has satisfactory performances for signal denoising which most features of original signal can be remained.
AB - Recent studies show that Cohen class bilinear time-frequency distribution methods do not have satisfactory denoising performance when analyzing multi-component LFM signals. This paper has constructed a new adaptive time-frequency filtering factor and has proposed an adaptive time-frequency filtering algorithm based on generalized S-transform. Firstly, the time-frequency distribution is obtained by transforming the time domain signals to time-frequency domain by using generalized S-transform, which is followed by calculating instantaneous frequency based on the phase information from the time-frequency distribution. Secondly, the time-frequency distribution regions occupied by clustered energy of effective signal are identified through time-frequency region extraction method and all time-frequency distribution spectrum out of the regions are removed. Thirdly, a novel TF filtering factor is constructed by the time-frequency concentration characteristic to restrain the random noise components in the regions of effective signal. Finally, the filtered signals are retrieved by using inverse generalized S-transform. Simulation results demonstrate that the proposed filtering algorithm has satisfactory performances for signal denoising which most features of original signal can be remained.
KW - generalized S-transform
KW - multi-component LFM signal
KW - time-frequency concentration characteristic
KW - time-frequency filtering
UR - http://www.scopus.com/inward/record.url?scp=84964016604&partnerID=8YFLogxK
U2 - 10.1109/IConAC.2015.7314000
DO - 10.1109/IConAC.2015.7314000
M3 - Conference Proceeding
AN - SCOPUS:84964016604
T3 - 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015
BT - 2015 21st International Conference on Automation and Computing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Automation and Computing, ICAC 2015
Y2 - 11 September 2015 through 12 September 2015
ER -