Pre-detection tracking method for weak extension target

Abstract

The invention belongs to the technical field of target detection and tracking, and particularly discloses a pre-detection tracking method for a weak extension target. Under a Bayesian filtering framework, a particle approximation means is used for recursion prediction and updating of a target state, so that the detection and tracking of the weak extension target are realized; in the updating step,intensity measurement data of resolution units occupied by the target is accumulated through particles; after the accumulated length reaches a set value, the power of each resolution unit occupied bythe target is estimated; and the weights of the particles are updated by taking the power as parameters of a likelihood function. According to the method, the weak extension target can be detected and tracked without target prior information, so that the complicated nonlinear parameter estimation process of a traditional method is avoided; meanwhile, no specific requirement is raised for the typeof the intensity measurement data; and the method can be widely applied to various civilian and military systems such as a video monitoring system, a robot navigation system, a military target detection and tracking system and the like, and has a wide market prospect and application value.

Description

technical field [0001] The invention relates to the technical field of target detection and tracking, and more specifically, to a tracking-before-detection method for weakly extended targets. Background technique [0002] In the context of the increasing demand for civilian surveillance and military reconnaissance, sensors are required to have rapid detection and robust tracking capabilities for weakly extended targets. Under the condition of low signal-to-noise ratio, compared with the traditional detection-then-tracking (TAD) technology, the tracking-to-detection (TBD) technology can realize the joint detection and tracking of the target more effectively. TBD technology was first applied to the target detection of infrared image sequence by Maybeck in 1983, and has been widely used in the field of radar detection since then. The basic idea of ​​TBD technology is to improve the signal-to-noise ratio of target detection and realize joint detection and tracking of weak targe...

AI Technical Summary

Problems solved by technology

Such assumptions are often difficult to satisfy due to the often non-cooperative nature of detection targets

Therefore, some scholars have introduced the idea of ​​parameter estimation to estimate the target and noise power through the method of maximum likelihood estimation (MLE), but there are at least two problems in this estimation algorithm: one is under the condition that the target intensity obeys the Rice distribution , parameter estimation needs to solve a set of highly nonlinear equations; second, under the condition that the target intensity obeys the exponential distribution, the estimation algorithm fails completely

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