Differential Privacy Fusion Filtering for Multi-Rate Nonlinear Systems over SNR-Based Sensor Networks: A Second-Order Center Difference Approach

This paper focuses on the differential privacy fusion filtering problem for multi-rate nonlinear systems over sensor networks based on signal-to-noise ratio (SNR), in which a compensation strategy with a single exponential smoothing method is employed to handle the multiple time series stemmed from the multi-rate sampling strategy. Considering the inherent vulnerabilities of the SNR-based sensor networks, packet dropouts and eavesdropping attacks may occur during the measurement transmission bet