Radar and ESM track correlation method based on topology information under system error

Abstract

The invention discloses a radar and ESM (Electronic Support Measure) track correlation algorithm based on topology information under system error. For radar and ESM configured in different places, when the bearing lines intersect, a plurality of cross location points are produced, including wrong ghost points and correct correlated points. After all cross location points are obtained, partial correlation is performed first based on distance information, and a lot of impossible correlations are ruled out, so that the amount of calculation is reduced, and time is saved. Then, the remaining cross location points are divided and combined, the degree of correlation between each combination and radar measurement is calculated based on topology information, the cross location points in the combination corresponding to the highest degree of correlation are sequentially correlated with corresponding radar measurement, and thus, the correlation between all radar and ESM targets is obtained. Compared with the traditional track correlation algorithm, the topology information between targets is fully utilized, the influence of system error on track correlation can be well restrained, the rate of correct association is improved, and the rate of error correlation and the rate of missing correlation are reduced.

Description

technical field [0001] The invention belongs to the field of heterogeneous sensor track association, and provides a method for associating radar and electronic support measurement (Electronic Support Measurement, ESM) track based on topological information under the condition that system errors exist. Background technique [0002] The information provided by similar sensors is single and susceptible to interference. As the battlefield environment becomes increasingly complex, heterogeneous sensor systems play an increasingly important role. Radar and ESM are two typical and most widely used active and passive sensors. Radar can provide precise location information, and ESM can provide precise attribute information. The combination of the two can provide a more accurate and complete understanding of the target, and can solve the problem of who the target is and where the target is. This is useful for target threat estimation, early warning and Further combat command and dec...

AI Technical Summary

Problems solved by technology

Traditional radar and ESM track correlation methods usually assume that the error is Gaussian white noise with zero mean value. By constructing correlation statistics and then using statistical theory to judge, the existence of systematic errors is often ignored.

Since the system error is unknown, statistical methods cannot be used to obtain the threshold of correlation statistics, so it will lead to a large number of false correlations and missing correlations in practical applications, which cannot meet the requirements

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