Active false target jamming polarization discrimination method

Abstract

The invention discloses an active false target jamming polarization discrimination method. The active false target jamming polarization discrimination method mainly solves the problem of active false target jamming. The active false target jamming polarization discrimination method includes the implementation steps that (1) a horizontally-polarized antenna and a perpendicularly-polarized antenna send electromagnetic wave signals to a to-be-detected area; (2) two ways of matched filtering is carried out on electromagnetic echo signals received by the horizontally-polarized antenna and the perpendicularly-polarized antenna; (3) target peak values are extracted from matched filtering output signals, and the peak powers P of the peak values at the positions where the target peak values occur are calculated; (4) the statistic discrimination amount id(t) is calculated according to the peak powers P of the peak values; (5) a discrimination threshold Th is set, the statistic discrimination amount id(t) and the discrimination threshold Th are compared, if the id(t) is larger than the Th, it is judged that the peak values are the target peak values, and if the id(t) is smaller than or equal to the Th, it is judged that the peak values are false target jamming values. By means of the active false target jamming polarization discrimination method, the time needed for discriminating targets and active false target jamming is shortened; the active false target jamming polarization discrimination method can be used for discriminating fixed polarization false target jamming and polarization modulation false target jamming.

Description

technical field [0001] The invention belongs to the field of polarization anti-jamming, in particular to a false target jamming identification method, which can be used for target identification. Background technique [0002] With the development of digital radio frequency memory DRFM technology, active multi-false target jamming has developed to the point that it can independently generate false targets that are highly similar to target echoes in terms of energy, waveform, and phase modulation, making radar systems in the time domain and frequency domain Difficult to identify. Therefore, the different polarization information of the target and the jammer can be used to improve the anti-jamming, detection and identification capabilities of the radar. The existing polarization discrimination algorithm mainly utilizes the difference in polarization characteristics between the active false target and the radar target, and estimates the polarization scattering matrix of the rea...

AI Technical Summary

Problems solved by technology

[0005] 1) Li Yongzhen and others studied the variation law of the transient polarization projection vector IPPV of active false targets and target echoes between pulses, and based on this, the discrimination algorithm based on the fluctuation of the transient polarization projection vector as the discriminant statistic, This algorithm is mainly aimed at low-resolution time-division polarization measurement radar to solve the identification problem of active decoys. The disadvantage is that this algorithm is only for time-division polarization measurement radar, so it needs to transmit multiple pulses to achieve the identification purpose. takes longer to process

[0006] 2) Shi Longfei et al. designed the identification algorithm of true and false targets according to the characteristics that the polarization ratio of the interference remains unchanged under different transmission polarizations, but the polarization ratio of the target changes with the transmission polarization. The disadvantage is that this method is sensitive to the signal-to-noise ratio

The disadvantage of this algorithm is that when the signal-to-noise ratio is too low, the identification rate of the target will drop slightly as the signal-to-noise ratio increases.

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