Particle filter pre-detection tracking method for target with discontinuous characteristics

Abstract

The present invention discloses a particle filter pre-detection tracking method for a target with discontinuous characteristics. The method comprises the following steps: S1, initializing system parameters; S2, reading original measurement data; S3, calculating a likelihood ratio of original measurement data, and using the likelihood ratio criterion to estimate the discontinuous characteristics ofthe target; S4, using particle filtering to estimate the target motion state; and S5, making the iteration coefficient k=k+1, determining whether tk>L, if so, ending the algorithm ends, and otherwise, returning to the step S2, wherein L represents the total time of tracking. According to the method provided by the present invention, the problem of pre-detection tracking of the target with discontinuous characteristics is solved, and the discontinuous characteristics of the target are brought into the Bayesian tracking process, so that the discontinuous motion state and the signal discontinuous characteristics can be jointly estimated; and the threshold detection is avoided, all the information of the original measurement is retained as much as possible, and the detection capability for the weak target is improved.

Description

technical field [0001] The invention belongs to the technical field of passive sensor system target detection and tracking, in particular to a particle filter tracking method before detection for targets with discontinuous characteristics. Background technique [0002] The passive sensing mechanism has important application significance in both military and civilian fields: 1) The passive detection system itself does not emit high-power signals, which reduces the exposure opportunity of the platform, and has high concealment and strong survivability. 2) The target recognition ability is strong. By intercepting the emission source data, the characteristics of the target are identified, and the attribute, quantity and working status of the target are determined. 3) Small in size and light in weight, it saves electronic equipment related to transceiver level, and the system cost is low. It can be seen that the passive sensing mechanism has many advantages and has broad develop...

AI Technical Summary

Problems solved by technology

However, these methods do not consider the uncertainty of the target signal emission, let alone the estimation of the discontinuous characteristics of the signal

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