IMM (Interacting Multiple Model) target tracking method and device capable of carrying out real-time correction on the basis of model probability in WSN (Wireless Sensor Network)

Abstract

The invention discloses an IMM (Interacting Multiple Model) target tracking method and device capable of carrying out real-time correction on the basis of a model probability in a WSN (Wireless SensorNetwork). The method comprises the following steps that: firstly, collecting RSSI (Received Signal Strength Indication) in a monitoring area to establish a radio fingerprint database, and utilizing asupport vector regression algorithm to train to obtain an observation model; then, importing a fuzzy neural network, and adaptively regulating and measuring an error covariance matrix in a model output stage; and finally, according to a ratio of model probabilities between continuous time points in an IMM submodel, correcting a Markov transition probability. By the implementation of the invention, the algorithm has good performance on the aspects of instantaneity, tracking accuracy and the like.

Description

technical field [0001] The invention belongs to the application field of wireless sensor network (Wireless Sensor Network, WSN) and target tracking technology, and specifically relates to an IMM target tracking method and device based on model probability real-time correction in WSN. Background technique [0002] In recent years, wireless sensor networks have received extensive attention in different fields, and one of the particularly important applications is the use of WSNs to track moving targets. The wireless sensor network is composed of a large number of cheap sensor nodes distributed in space, and the nodes communicate through wireless links. Its main advantages are low cost, easy deployment, and high fault tolerance. [0003] Maneuvering target tracking technology is one of the hotspots in wireless sensor network research. This technology utilizes the signals broadcasted by sensors in the network to estimate the state of the target. Usually the measurement of the ...

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Problems solved by technology

[0005] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a method and device for IMM target tracking based on model probability real-time correction in WSN, which is used to solve the problem of traditional IMM algorithm using fixed measurement noise covariance matrix and SMarkov transfer. Probability matrix leads to slow model switching and decreased tracking accuracy

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