摘要：结合阶比分析和现有时序模型盲辨识方法各自的优点，提出了一种基于阶比域的AR模型盲辨识算法。该方法是将时域采样所得的非稳态信号按等角度重采样，从而得到阶域中的稳定信号，对其建立AR模型进行盲辨识。该方法继承了现有的时序模型盲辨识方法的所有优点，同时克服了现有时序模型盲辨识方法在处理非平稳信号的不足。仿真结果表明，该方法是有效的，可很好地处理非平稳信号。

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.