Passive multi-station multi-target direction-finding cross positioning and false point removing method

Abstract

The invention provides a passive multi-station multi-target direction-finding cross positioning and false point removing method, and the method comprises the following steps: step 1, obtaining a double-station cross positioning result of every two stations according to a double-station direction-finding cross positioning principle, and giving a cross positioning point set; step 2, according to thecharacteristic that the density of cross positioning points near a real target is obviously higher than that of false points, defining an ellipse neighborhood by utilizing a Mahalanobis distance, andextracting high-density cross positioning points; and step 3, performing DBSCAN clustering processing on the high-density point set, taking the first NT clusters with the most high-density points asthe clusters where the real targets are located, wherein the clustering center of each cluster is the position of the real target, and NT is the number of the targets. According to the method, a high-density point extraction method is utilized, so that the calculation amount of subsequent clustering data processing is reduced while the target point positioning precision and false point removal performance are ensured.

Description

technical field [0001] The invention relates to a cross positioning and false point removal method, in particular to a passive multi-station multi-target direction finding cross positioning and false point removal method, which belongs to the field of electronic reconnaissance. Background technique [0002] The passive detection of electromagnetic waves is the premise of electronic countermeasures, and the result of passive positioning is one of the most important outputs of passive detection. In the complex and changeable electromagnetic environment of the battlefield environment, accurate estimation of the position information of the target radiation source is helpful for situation awareness and interference guidance. It can be used as a guide for attack weapons such as radars and bombers, and is an important guarantee for precise strikes. Angle is relatively stable and reliable information of the target radiation source. Direction finding cross positioning is an effective...

AI Technical Summary

Problems solved by technology

The existing cross positioning and false point removal methods either need to traverse all data association combinations, and face NP-hard calculation problems when the number of targets is large, the calculation complexity is too high, and real-time performance cannot be guaranteed; or they do not effectively use multiple measurement data, cross Localization and spurious point removal performance is limited

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