Multi-station radar station location and joint tracking method based on distributed PHD

Abstract

The present invention discloses a multi-station radar station location and joint tracking method based on the distributed PHD (pulse height discrimination). The method comprises the following steps: S1, receiving echo signals, and performing local tracking filtering processing; S2, calculating a Chernoff information divergence formula between posterior in every two radars; S3, constructing an optimization problem model; S4, solving the optimization model, and obtaining position parameters of all radars relative to other radar sites; S5, selecting multi-sensor information fusion criteria; S6, jointing the posterior distribution to change into an edge density function, and obtaining a fused posterior density function according to the multi-sensor information fusion criteria; and S7, transmitting the fused posterior density function back to the local radar in the form of mixed Gaussian. According to the method provided by the present invention, information of the target can be measured bymultiple radars in the case of the unknown multi-station radar precise position, multi-station radar location, multi-target tracking and information fusion can be performed, and the method has a mallcalculation amount, a fast convergence speed, and other characteristics.

Description

technical field [0001] The invention belongs to the technical field of radar target tracking, in particular to a multi-station radar site location and joint tracking method based on distributed PHD. Background technique [0002] In modern warfare, using multi-station radars widely distributed in the combat area to jointly track targets is already a research hotspot in the field of radar tracking. Compared with a single radar, the use of multi-station radar can obtain more dimensions and wider range of information about the target, thereby improving the detection performance of the target and the robustness of the system. When multi-station radars are used to jointly track targets, the precise positions of the multi-station radars need to be known in order to perform operations such as spatial alignment during information fusion. However, in actual scenarios, due to positioning errors and other reasons, the system cannot provide the accurate position of the radar, which lead...

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Problems solved by technology

However, this method needs to collect all measurement information from all radars, so in a high-density clutter environment, building a joint likelihood function will cause a huge communication burden, and this method uses a centralized fusion architecture, resulting in The whole system is less robust

In the literature "M.Uney, B.Mulgrew, and D.E.Clark," A Cooperative approach to sensor localization in distributed fusion networks," IEEETrans.Signal Process., vol.64, no.5, pp.1187-1199, Oct.2016 A radar joint tracking and self-localization method based on a posteriori information was proposed in ". However, this method uses high-dimensional particles to represent the local a posteriori, so a large number of particles need to be transmitted between multiple radars to The estimation of the posterior information causes a huge communication burden, and the information transmitted between the sensors uses the belief propagation technology, which is not suitable for the ring multi-sensor network structure

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