Passive sensor networking detection multi-target method

Abstract

The invention discloses a passive sensor networking detection multi-target method. A passive sensor networking system carries out intersection positioning by using a direction-finding intersection method according to angle information provided by a sensor; a ghost point is eliminated by using information redundancy static between multiple platforms; subsequently the ghost point is dynamically eliminated by using a virtual flight path tracking technique, so as to realize the accurate positioning and tracking on multiple targets. The method for eliminating the ghost point comprises the steps of: calculating each flight path tracking door; carrying out association processing on point targets (obtained from the intersection positioning) with each grade of flight path files in sequence in accordance with the flight path grades from high grade to low grade; and starting, combining, cutting, branching and deleting the flight path according to the association situation. The passive sensor networking detection multi-target method has the following advantages that target movement characteristics are sufficiently utilized, the ghost point is dynamically eliminated in the target tracking process, the engineering is strong in realizability, and the ghost point can be effectively eliminated under the condition that the targets are dense or measuring noise exists.

Description

technical field [0001] The invention relates to aviation technology, and the proposed virtual track tracking technology is suitable for multi-machine or multi-platform, multi-base station cooperative passive sensor networking to detect multi-targets. Background technique [0002] With the continuous advancement of science and technology, the mode of modern warfare has become increasingly complex. How to improve the combat capability and survivability of aircraft has always been a research hotspot in the military field. The main feature of the new generation of fighters is to achieve concealed contact with the enemy. When a combat aircraft flies to the target area, the avionics system mainly uses passive sensors or other sensors working in a passive state, which can only obtain angle information but not distance information, so it is impossible to accurately locate the target, especially the moving target, but if Using the network detection of multiple aircraft in the formati...

AI Technical Summary

Problems solved by technology

Tan Kun et al. proposed a method based on multi-platform direction finding crossover to eliminate "ghost points". This is a static method to remove "ghost points". "Eliminate clean

Wang Yongcheng and others proposed a multi-platform passive positioning method based on time difference, but the time scale between platforms has a large error, and the assumptions of this method are difficult to be satisfied in actual scenarios

Images