Double-event-triggered cooperative maximum correntropy estimation over wireless sensor networks

This paper is concerned with the distributed state estimation problem for a class of multi-sensor net -work systems with bandwidth constraints, measurement loss, and shot noises. To tackle these issues, the double-event-triggered cooperative maximum correntropy estimation algorithm is proposed following the proposed double-event-triggered communication mechanism and maximum correntropy criterion. With such an algorithm, measurement errors between adjacent events in the first-event trigger are applied to determine whether the sensor node needs to transmit data, and then current innovation samples in the second-event trigger are to detect measurement anomalies. Compared to existing approaches, the proposed algorithm can significantly reduce communication costs and improve sensors' service life, accu-racy and robustness. A simulation case-study concerning moving target tracking with multiple unmanned aerial vehicles (multi-UAVs) is worked out to demonstrate the effectiveness of the considered algorithm.(c) 2023 Elsevier B.V. All rights reserved.