【摘要】 提出了一种利用Allan方差和等效定理的辨识由几个简单噪声形式合成的非平稳传感器误差模型的方法。这种方法首先推导出由内部噪声源描述的各成分的离散Allan方差;然后利用它来估计出各噪声成分模型的参数;最后用非平稳成分噪声模型与一个等效模型的和来代表原始传感器误差信号,这个等效模型是由成分中的平稳和临界平稳噪声整合而成的。文中两个例子的辨识结果证实了这种方法的有效性,不管误差信号是平稳还是非平稳的。同时文中RLG误差信号的处理结果的比较表明了这种方法得到的模型要比别的方法得到的模型更适合。更多还原

【Abstract】 An identification method using Allan variance and equivalent theorem is proposed to identify non-stationary sensor errors mixed out of different simple noises. This method firstly derives the discrete Allan variances of all component noises inherent in noise sources in terms of their different equations; then the variances are used to estimate the parameters of all component noise models; finally, the original errors are represented by the sum of the non-stationary component noise model and the equivalent model mixed out of the stationary and critically stationary component noises. Results of two examples for identification confirm the superiority of this approach regardless of the errors being stationary or not. The comparison of results of real ring laser gyro (RLG) errors processed by various methods shows that the proposed approach is more suited to depict the original noises than common ones.更多还原