A Jamming Method for Adaptive Zeroing Technology of Digital Array Radar

Abstract

The invention discloses a disturbance method for the adaptive zeroing technology of a digital array radar, and the method comprises the steps: 1, determining an interference array manifold; 2, determining an interference array weighting coefficient; 3, applying emission wave beam formation to an interference source signal; 4, emitting an interference signal to a target array, and controlling the incident angle of the interference signal into the target array. Compared with the prior art, the invention has the beneficial effects that the interference signal generated by the method can effectively counteract the inhibition on the interference from adaptive zeroing, and the method enables the interference signal to pass through an adaptive zero-setting beam forming device to maximum degree, thereby carrying out effective disturbance on a signal received by the main lobe of the target array.

Description

technical field [0001] The invention relates to the technical field of radar countermeasures, in particular to a method for jamming the self-adaptive zeroing technology of a digital array radar. Background technique [0002] Digital Array Radar (DAR) is an all-digital phased array radar that uses digital beamforming (DBF) technology for both reception and transmission. DBF technology forms beams by digital weighting. The beam direction and shape can be changed by changing the weighting coefficient. Therefore, compared with the traditional phased array radar, the digital array radar has the characteristics of high amplitude and phase control accuracy, large instantaneous dynamic range, large spatial freedom, and flexible beam forming. More importantly, in terms of anti-jamming, digital array radar not only inherits the sidelobe cancellation, frequency agility, pulse accumulation, moving target display and other technologies of traditional analog phased array, but also forms i...

AI Technical Summary

Problems solved by technology

At present, the jamming methods for adaptive zeroing technology focus on destroying the effects of the first two steps, and are mainly divided into two categories: 1. Jamming methods aimed at the limitation of coherence resolution in array DOA estimation, such as smart noise jamming, deceitful forwarding Interference, etc., this type of method mainly uses interference signals whose frequency is coherent or similar to the target signal frequency to inject into the array. When the decoherence capability of the array DOA estimation algorithm cannot adapt, the angle of arrival of the interference cannot be accurately estimated. The main disadvantage is that it requires prior knowledge of the target signal incident direction, frequency, and target array size, and its interference effect cannot be guaranteed. At the same time, with the continuous development of the decoherence algorithm, the applicability of this interference method is also declining; 2. For the interference limited by the array degree of freedom and angular resolution in the adaptive zeroing algorithm, such as distributed interference, main lobe interference, etc., in which distributed interference uses a large number of distributed jammers to simultaneously transmit interference signals to the target array, When the number of interference exceeds the degree of freedom of the target array (the number of array elements-1), the adaptive algorithm will not be able to generate a sufficient number of nulls to suppress the interference; the main lobe interference is to let the interference signal enter the main lobe of the target array element, At this time, if the adaptive algorithm needs to generate a null in the main lobe, it will cause the side lobe to rise, the main lobe to deform, and the peak shift will greatly affect the reception of the target signal. The main disadvantage of these two methods is that the incident direction of the target signal and the Prior knowledge such as the size of the target array, and due to the advantages of large array elements such as large enough degrees of freedom and narrow main lobe, this type of method is not suitable for large arrays. The applicability of such methods is also declining

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