Kai Lin

Credibility State Estimation Fusion Driven by Deep Learning for Low-Altitude Target Tracking

This paper presents a novel fusion estimation framework that integrates credibility-based Kalman filtering with Long Short-Term Memory (LSTM) networks to address uncertain dynamic model parameters in low-altitude target tracking. First, the iterative formulation of a Cubature Kalman Filter (CKF) is reformulated to enab...