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顺序数据同化系统模型有色噪声控制方法研究
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作者 王闰杰 李志远 +1 位作者 赵飞 张宇 《地理与地理信息科学》 CSCD 北大核心 2019年第5期85-88,125,共5页
在顺序数据同化系统中,一般假设模型的误差符合高斯白噪声的统计特性,然而白噪声是一种十分理想的噪声,实际情况中,模型的噪声均为有色噪声,若仍将其当作白噪声进行处理,将会影响数据同化结果的精度。针对模型的有色噪声控制问题,该文... 在顺序数据同化系统中,一般假设模型的误差符合高斯白噪声的统计特性,然而白噪声是一种十分理想的噪声,实际情况中,模型的噪声均为有色噪声,若仍将其当作白噪声进行处理,将会影响数据同化结果的精度。针对模型的有色噪声控制问题,该文提出了状态改正数自适应方法。该方法基于状态改正数信息对模型的有色噪声直接进行估计,从而降低有色噪声对顺序数据同化结果精度的影响。而后将该方法、经典卡尔曼滤波同化法、向量增广法及协方差矩阵自适应法分别应用到目标位置跟踪数值算例中,对几种方法得到的同化结果进行对比分析,验证了该文提出的状态改正数自适应方法对顺序数据同化系统模型有色噪声控制的有效性和实用性。 展开更多
关键词 顺序数据同化系统 模型有色噪声 状态改正数自适应方法
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有色噪声模型参数改进算法 被引量:7
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作者 崔先强 樊月波 《测绘学院学报》 北大核心 2002年第3期174-177,181,共5页
介绍了常用的有色噪声最小二乘拟合法 ,并针对其在动态GPS有色噪声拟合中存在的问题提出了一种改进算法。计算结果表明 ,该算法能有效地提高模型参数估值的精度和Kalman滤波器的数值稳定性。
关键词 有色噪声模型 改进算法 动态定位 KALMAN滤波 动态GPS数据处理 全球定位系统 误差
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Transitions in a Logistic Growth Model Induced by Noise Coupling and Noise Color 被引量:2
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作者 SHI Jin ZHU Shi-Qun 《Communications in Theoretical Physics》 SCIE CAS CSCD 2006年第1X期175-182,共8页
With unified colored noise approximation, the logistic growth model is used to analyze cancer cell population when colored noise is included. It is found that both the coupling between noise terms and the noise color... With unified colored noise approximation, the logistic growth model is used to analyze cancer cell population when colored noise is included. It is found that both the coupling between noise terms and the noise color can induce continuous first-order-like and re-entrance-like phase transitions in the system. The coupling and the noise color can also increase tumor cell growth for small number of cell mass and repress tumor cell growth for large number of cell mass. It is shown that the approximate analytic expressions are consistent with the numerical simulations. 展开更多
关键词 logistic growth model first-order-like phase transition re-entrance-like phase transition colored noise
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Iterative identification of output error model for industrial processes with time delay subject to colored noise 被引量:1
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作者 董世健 刘涛 +1 位作者 李明忠 曹毅 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2015年第12期2005-2012,共8页
To deal with colored noise and unexpected load disturbance in identification of industrial processes with time delay, a bias-eliminated iterative least-squares(ILS) identification method is proposed in this paper to e... To deal with colored noise and unexpected load disturbance in identification of industrial processes with time delay, a bias-eliminated iterative least-squares(ILS) identification method is proposed in this paper to estimate the output error model parameters and time delay simultaneously. An extended observation vector is constructed to establish an ILS identification algorithm. Moreover, a variable forgetting factor is introduced to enhance the convergence rate of parameter estimation. For consistent estimation, an instrumental variable method is given to deal with the colored noise. The convergence and upper bound error of parameter estimation are analyzed. Two illustrative examples are used to show the effectiveness and merits of the proposed method. 展开更多
关键词 Time delay system Output error model Recursive least-squares Instrumental variable Variable forgetting factor
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