Saturated Impulsive Distributed Filtering for Target Estimation Over Sensor Networks

This study introduces an impulsive filtering strategy with saturation to mitigate hardware damage caused by excessive gains in sensor networks, addressing energy optimization challenges in target estimation. The saturation introduces non-linearity, tackled through sector conditions and Lyapunov stability, to derive conditions for asymptotic estimation with saturated impulses. The approach's efficacy is validated via simulations in a network of four sensor groups.