An Event-Triggered Kalman Consistency Filtering Method Based on Information Freshness Judgment

Abstract

The present invention proposes an event-triggered Kalman consistency filtering method based on information freshness judgment, said method comprising: step 1, in a multi-cluster head wireless sensor network, by calculating the information age of the data packet to the information age Measure the freshness to obtain the average information age of data packets generated by all nodes in the cluster; step 2, calculate the minimum value of the average information age, and obtain the minimum information age; step 3, use the minimum information age as an event Trigger the threshold, establish an event-triggered Kalman consistency filter algorithm model based on information freshness constraints, and calculate the estimated value of the target system.

Description

technical field [0001] The invention proposes an event-triggered Kalman consistency filtering method based on information freshness judgment, which belongs to the field of filtering technology. Background technique [0002] With the rapid development of civil aviation, a safe and comfortable cabin environment has become one of the focuses of aircraft designers, and passengers and crew have also put forward higher requirements for the cabin environment. Once the narrow and closed passenger cabin or cargo compartment has mechanical failure, pipeline rupture or seal failure, the cabin environment may be polluted, causing dizziness, headache and other adverse conditions for passengers and crew members, and even serious neurological diseases, which will seriously threaten the flight. Safety. Therefore, timely detection of the environmental status of the cabin is an important prerequisite for ensuring the life and health of passengers and crew. With the development of wireless s...

AI Technical Summary

Problems solved by technology

[0004] The invention provides an event-triggered Kalman consistency filtering method based on information freshness judgment, which is used to solve the problems of data packet loss and path loss in the existing distributed Kalman consistency filtering algorithm. Age is used as the event trigger threshold to effectively reduce the communication loss of the detection system. The technical solutions adopted are as follows:

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