End-fire array airborne radar adaptive mutual coupling compensation and clutter suppression method

Abstract

The invention discloses a self-adaptive mutual coupling compensation and clutter suppression method for an end-fire array airborne radar, and the method comprises the steps: 1, constructing the clutter echo data of the end-fire array airborne radar under a mutual coupling condition; 2, space-time sliding window processing is carried out on the data constructed in the step 1, and the peak power of the data is estimated; 3, comparing the peak power estimated in the step 2 with the peak power at the current moment; 4, a normalized impedance matrix is obtained through calculation according to the processing result in the step 3; step 5, utilizing a processing result of the step 4 to compensate the mismatch of the airspace steering vector; step 6, constructing a clutter covariance matrix by using a processing result of the step 4; and 7, forming a space-time adaptive weight according to a processing result of the step 6, and performing clutter suppression processing on a result of the step 5.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and more particularly, relates to an end-fire array airborne radar adaptive mutual coupling compensation and clutter suppression method. Background technique [0002] Endfire array antenna refers to a type of antenna whose maximum radiation direction points to the axis of the array arrangement. Because of its unique low profile characteristics and strong directional radiation characteristics, it has broad application prospects in the field of long-distance detection of airborne early warning radars. received extensive attention in recent years. Since the direction coefficient of the end-fire array in the maximum radiation direction is no longer proportional to the equivalent aperture size, this effectively solves the problem of large wind resistance of the traditional side-fire array antenna due to the large array aperture size, so it is especially suitable for application in Platforms...

AI Technical Summary

Problems solved by technology

However, the above two methods assume that the normalized impedance matrix caused by the mutual coupling effect is known, and in actual engineering, the mutual coupling effect will change with time, and usually cannot be accurately known in real time

In addition, the mutual coupling effect compensation method based on clutter covariance matrix reconstruction does not consider the effect of range ambiguity

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