Correlation method between radar and esm track based on auxiliary distance

Abstract

The invention discloses a radar and ESM (Electronic Support Measurement) track association method based on auxiliary distances. Firstly, an ESM auxiliary distance is measured and defined using radar, distance information is supplemented for ESM, and an ESM auxiliary positioning point is further defined. The distance statistics is constructed using the ESM auxiliary positioning point with a radar measurement point and an intersection positioning point, then association and discrimination are carried out according to corresponding thresholds. The active effects are that problems that measurement errors are large and the performance of a traditional radar and ESM track association algorithm is decreased rapidly when the target is far from a sensor or close to the baseline of the sensor are tackled; information provided by the radar is fully utilized, and the track association performance is effectively improved.

Description

technical field [0001] The invention belongs to the field of track association of heterogeneous sensors, and provides a method for associating tracks of radars configured in different places and electronic support measures (Electronic Support Measurement, ESM). Background technique [0002] Radar and ESM are two typical and most widely used active and passive sensors. Through the search, acquisition, analysis and identification of the radar emitter signal, ESM can obtain the parameter information of the emitter, such as the azimuth of the emitter, the signal carrier frequency, the pulse width and the pulse repetition period, etc. ESM has good concealment and real-time signal processing capabilities. By analyzing the parameters of radiation sources, it can judge and identify the attributes and threat levels of targets, and provide important intelligence for combat command and decision-making on the battlefield. As an active sensor, radar detects targets by transmitting and r...

AI Technical Summary

Problems solved by technology

[0003] For the correlation between radar and ESM tracks, angle statistics, distance statistics or position statistics can usually be constructed. The method based on angle statistics is easy to implement, but the performance needs to be improved due to the small amount of information used; the position-based method is usually at right angles Filtering in the coordinate system, which requires the ESM sensor to have a certain maneuverability relative to the target; the existing method based on distance statistics is obtained by using radar measurements and cross-location points, but when the target is far away from the sensor or close to the baseline of the sensor The error is large, or when the measurement error is large, the existing method based on distance statistics has a rapid decline in the correct association probability, which cannot meet the actual track association requirements; and because the ESM is a passive sensor, it only has angle information but no distance information. How to make full use of limited information to improve the performance of radar and ESM track correlation is an urgent problem to be solved

Images