Suppression of Deception-False-Target Jamming for Active/Passive Netted Radar Based on Position Error

Owing to the shortcomings of single view angle and insufficient information in the monostatic radar, it is difficult to effectively suppress the deception-false-target (FT) jamming. To counter the range-velocity compound deception jamming, a suppression method based on the radar position error (RPE) is proposed for active/passive netted radar on different moving platforms. In this algorithm, FTs are discriminated in the two stages of track initiation and target tracking. Firstly, in the track initiation stage, the RPE is taken into consideration to construct the error covariancematrix of the Mahalanobis distance. Then, the chi-square test is used to make the measurement correlation based on the azimuth and pitch angle information, which eliminates some FTs. Secondly, the measurements in active radar, which has been successfully correlated, are regarded as the supplementary for track initiation of passive radar. The FTs are discriminated again based on the radial velocity information. Finally, in the target tracking stage, the targets are tracked independently in active radar and passive radar. The sequential track correlation method is adapted to eliminate the remaining FTs that have been maintained in active radar. Simulation results verify that the proposed method improves the discrimination probability of FTs under the condition of ensuring the high discrimination probability of the physical target (PT).

Automated summary

This research proposes a suppression method for deception-false-target (FT) jamming in monostatic radar by considering the radar position error. The algorithm discriminates FTs in the track initiation and target tracking stages, and performs a secondary discrimination when using active radar measurements as a supplement for passive radar track initiation. Finally, the sequential track correlation method is used to eliminate the remaining FTs. Simulation results demonstrate that this method improves the discrimination probability of FTs while ensuring a high discrimination probability of the physical target (PT).