Particle filter centralized tracking method for multi-base radar out-of-sequence measurement fusion

Abstract

The invention discloses a particle filter centralized tracking method for multi-base radar out-of-sequence measurement fusion, which belongs to the technical field of data fusion of multi-base radar systems. According to the invention, out-of-sequence measurement is sequentially used to update all states between the out-of-sequence measurement generation time and the latest sequential filter time,and particle filtering is used to achieve target tracking; the problem of deterioration of target fusion tracking performance, which is caused by radar measurement out-of-sequence caused by differentdata processing time of a radar station and communication link delay, is overcome; whether the current measurement is sequential measurement is judged; if the current measurement is sequential measurement, sequential measurement update is carried out, and otherwise out-of-sequence measurement fusion is carried out; the problem of out-of-sequence measurement of multiple arbitrary timing sequences,which is caused by different data preprocessing time of each radar station and communication link delay in a multi-base radar system is effectively solved; and a universal solution is proposed for the problem of out-of-sequence measurement of multiple arbitrary timing sequences, which has higher fusion precision than direct neglect of out-of-sequence measurement.

Description

technical field [0001] The invention belongs to the technical field of multistatic radar system data fusion, in particular to a particle filter centralized tracking method for multistatic radar out-of-sequence measurement fusion. Background technique [0002] As the modern environment becomes more and more complex, the available resources such as structural space and power of monostatic radar are limited, and the detection capability is greatly limited. Multistatic radar has the functions of anti-stealth, anti-radiation missile, anti-jamming and anti-low altitude penetration Features, can be well adapted to the modern battlefield environment. In recent years, multistatic radar systems have been widely used in many fields such as sea, land, and air, and have received great attention in many aspects such as detection, identification, tracking, and imaging. In particular, the data fusion of radar receivers at different locations can effectively improve the performance of targe...

AI Technical Summary

Problems solved by technology

[0003] However, in the multistatic radar system, the radar sites are far apart and work independently. In the centralized fusion processing, due to the different data preprocessing time of each receiver and the delay of the communication link, etc., when the measurements of the radar sites reach the fusion center The out-of-sequence phenomenon is serious, and these out-of-sequence measurements frequently arrive at the fusion center in arbitrary timing, that is, multiple out-of-sequence measurements or consecutive arrivals, or multiple out-of-sequence measurements cross-arrival, or out-of-sequence measurements and sequential measurements cross-arrival

Since there are often a large number of out-of-sequence measurements in multistatic radar systems, if these out-of-order measurements are directly ignored, the information loss will be serious, resulting in a serious deterioration of the target fusion tracking performance, so it is necessary to find a specific method to deal with multistatic radar systems The out-of-order measurement problem in

An ideal approach would be to reorder and refilter all measurements wheneve

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