A new blind identification algorithm of AR Model on order domain

Zhang Xinguang;Li Zhinong;Wang Xinyi;Yuan Zhenwei

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (5) : 41-43.

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PDF(856 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (5) : 41-43.
论文

A new blind identification algorithm of AR Model on order domain

  • Zhang Xinguang1,2, Li Zhinong1, Wang Xinyi1, Yuan Zhenwei1
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Abstract

Abstract: Combining the advantage of order analysis and blind identification of time series model, a new blind identification algorithm of AR model on order domain is proposed. The proposed algorithm includes two parts: (1) Preprocessing, the non-stationary signal is resampled by order sampling, i.e. constant angular interval, and transformed into stationary signal at the angular domain. (2) Blind identification, the stationary signal at the angular domain is identified by the blind identification of AR model. The proposed algorithm not only inherits the advantages of traditional blind identification of AR model, but also overcomes the deficiency of raditional blind identification of AR model. The simulation result shows that the proposed algorithm is very effective, and can be a powerful tool for processing non-stationary signal.

Key words

Blind system identification (BSI) / Auto-regressive (AR) Model / Order sampling / Non-stationary signal

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Zhang Xinguang;Li Zhinong;Wang Xinyi;Yuan Zhenwei. A new blind identification algorithm of AR Model on order domain [J]. Journal of Vibration and Shock, 2009, 28(5): 41-43
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