Variational Bayesian-Based Improved Maximum Mixture Correntropy Kalman Filter for Non-Gaussian Noise

The maximum correntropy Kalman filter (MCKF) is an effective algorithm that was proposed to solve the non-Gaussian filtering problem for linear systems. Compared with the original Kalman filter (KF), the MCKF is a sub-optimal filter with Gaussian correntropy objective function, which has been demons...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Entropy
المؤلفون الرئيسيون: Xuyou Li, Yanda Guo, Qingwen Meng
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2022-01-01
الموضوعات:
Kalman filter
maximum correntropy criterion
mixture correntropy
variational Bayesian inference
الوصول للمادة أونلاين:https://www.mdpi.com/1099-4300/24/1/117

الانترنت

https://www.mdpi.com/1099-4300/24/1/117

مواد مشابهة