Signal-level fusion networking radar anti-cheating interference method under object signal correlation

Abstract

The invention proposes a signal-level fusion networking radar anti-cheating interference method under object signal correlation, and the method can achieve the effective discrimination of false targets generated by different cheating interferences. The method comprises the steps: 1, enabling each junction radar to receive echo data and calculate a corresponding noise power; 2, building slow-time random complex envelope sequences of each point target at a plurality of junction radars; 3, estimating the mean power of each point target at each junction radar; 4, enabling the slow-time random complex envelope sequences of the same point target at the plurality of junction radars to be combined in a paired manner to form a plurality of envelope groups, and estimating a correlation tolerance; 5, calculating a detection threshold range; 6, searching an optimal detection threshold; 7, judging whether the correlation tolerance is greater than the optimal detection threshold or not: judging that the envelope groups pass through false target examination if the correlation tolerance is not greater than the optimal detection threshold, or else, marking two corresponding point targets as false targets; 8, eliminating the false targets.

Description

technical field [0001] The invention relates to the technical field of radars, in particular to a networked radar anti-deception jamming method based on signal level fusion under target signal correlation. Background technique [0002] Electronic spoofing technology is dedicated to deceiving the victim radar in terms of information such as direction, position, and tracking starting point, or creating so many false targets around the real target echo that the real target information cannot be extracted. One effective class of spoofing techniques is deceptive spoofing techniques. The purpose of deception is to mislead the amplitude, phase and other information of the echo received by the radar through modulated transmission or forwarding. In particular, the emergence of digital radio frequency memory (Digital Radio Frequency Memory, DRFM) has made deceptive jamming technology more mature, and transponder jammers using DRFM are widely used in self-defense jamming and team jamm...

AI Technical Summary

Problems solved by technology

However, since each node radar in the networked radar will be subject to deceptive interference, dense false targets will lead to a high error rate in the correlation test between the measured values ​​​​of each node radar, and the location of the networked radar station is not ideal , will also affect the ability of the networked radar to resist deceptive jamming

[0004] Existing networked radars use data-level fusion to counteract deceptive jamming. In the process of measuring targets, only the point track information or track information of the target is used, but other information is not effectively used. Therefore, , the data-level fusion anti-jamming method cannot fully exert its anti-jamming ability, and cannot make full use of the advantages of radar networking

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