Multi-Sensor Fusion Target Tracking Based on Maximum Mixture Correntropy in Non-Gaussian Noise Environments with Doppler Measurements

Multi-Sensor Fusion Target Tracking Based on Maximum Mixture Correntropy in Non-Gaussian Noise Environments with Doppler Measurements

This paper addresses the multi-sensor fusion target tracking problem based on maximum mixture correntropy in non-Gaussian noise environments exclusively using Doppler measurements. As Doppler measurements are non-linear, a statistical linear regression model is constructed using the unscented transf...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Changyu Yi, Minzhe Li, Shuyi Li
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2023-08-01
Seri Bilgileri:Information
Konular:
multi-sensor fusion
mixture correntropy
maximum correntropy criterion
Doppler measurement
non-Gaussian noise
Online Erişim:https://www.mdpi.com/2078-2489/14/8/461

Internet

https://www.mdpi.com/2078-2489/14/8/461

Benzer Materyaller