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| Parameter Estimation and Time-frequency Distribution of Fractional Lower Order Time-frequency Auto-regressive Moving Average Model Algorithm Based on SαS Process |
| LONG Junbo① WANG Haibin② |
①(College of Electronic and Engineering, Jiujiang University, Jiujiang 332005, China)
②(College of Information Science and Technology, Jiujiang University, Jiujiang 332005, China) |
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Abstract The performances of Time-Frequency Auto-Regressive Moving Average (TFARMA) model method degenerate under S S distribution environment. Hence, Fractional Lower Order Time-Frequency Auto- Regressive Moving Average (FLO-TFARMA) model algorithm based on fractional lower order covariant is proposed, the parameters estimation of FLO-TFARMA model is introduced, time-frequency distribution based on FLO-TFARMA model is given, FLO-TFARMA model algorithm are compared with the existing TFARMA algorithm in detail. The simulation results show that FLO-TFARMA model method have better performance than TFARMA model method under SαS distribution environment, and the time-frequency spectrum of FLO- TFARMA method is more obvious when the parameter α is smaller.
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Received: 21 September 2015
Published: 03 June 2016
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| Fund: The National Natural Science Foundation of China (61261046, 61362038), The Natural Science Foundation of Jiangxi Province (20142BAB207006), The Research Foundation of Education Bureau of Jiangxi Province (GJJ14738, GJJ14739) |
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Corresponding Authors:
LONG Junbo
E-mail: 18488870@qq.com
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