A method for detection and tracking of targets with discontinuous characteristics for passive sensing systems

Abstract

The invention discloses a method for detecting and tracking a target with discontinuous characteristics by a passive sensing system, which is applied to the technical field of target detection and tracking of a passive sensing system. The problem of estimating the discontinuous characteristics of the signal; at first, according to the latest intermittent measurement received by the sensor, it is divided into discontinuous periods and combined with the signal cycle sliding window to adaptively estimate the discontinuous characteristics of the target; then Synchronously determine the update moment of the target state, and derive the variable-period filtering formula under the Bayesian framework to obtain the posterior probability density function about the target state; finally use the minimum mean square error criterion to estimate the target state, and the method of the present invention can realize Joint Estimation of Discontinuous Target States and Their Discontinuous Properties.

Description

technical field [0001] The invention belongs to the field of passive sensor system target detection and tracking, in particular to a detection and tracking technology for targets with discontinuous characteristics. Background technique [0002] The passive sensing system itself does not emit signals, but only passively receives the information carried by the radiation, emission or refraction signals from the target, and then realizes the detection and tracking of the target through signal processing and extraction, which has high concealment and target recognition. Strong ability and other advantages can enhance the anti-reconnaissance, anti-jamming, and anti-software and hard-killing capabilities of the system in the electronic station. In future electronic countermeasures and modern intelligence systems, passive sensing mechanisms will play an increasingly important role. [0003] In the actual passive detection system application, due to the blockage of the signal transm...

AI Technical Summary

Problems solved by technology

For this type of typical target measurement discontinuity, since its discontinuous characteristics are often unknown and cannot be modeled by a known random process, the measurement discontinuity model in the proposed algorithm cannot be directly applied For the tracking of such discontinuous targets, it does not consider the estimation of the discontinuous characteristics of the signal

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