测量噪声污染模型下的动态定位Bayes算法
Bayesian Estimation for Kinematic Positioning with Contaminated Model of Measurement Noise
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摘要: 应用Bayes定理,给出了测量噪声污染模型下一类动态模型状态的抗差Bayes估计,并同时给出了一种污染率未知时的滤波算法。模拟算例结果证明了该算法的有效性和可靠性。Abstract: Based on Bayesian theory under contaminated distribution,a robust Bayesian estimator for the state parameters of one kind of dynamic models is given.Meanwhile,we study the algorithms with unknown contaminated factors.A simulation example of filtering shows that the modified Kalman filter is effective and reliable.
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