Self-adapting special interference restraint technology for phased array radar

Abstract

The invention discloses a self-adapting special interference suppressing technology aim at phased array radar. The conventional phased array radar can suppress the noise to inhibit the interference by self-adapting, firstly the interference data received by the radar receiver can be learned then to form a zero point on the interference direction. The zero point depth and width generated by the conventional processing method all can be influenced by the array error and are not suitable for the special interferences, such as the dense cheating interference, the movement interference, the fast transforming clearance type interference or the composite interference and so on complicated interference forms. Adopting the ultra-lower secondary lobe aerial is the most effective anti-interference method, but under the present technology and technological level, the over-high secondary lobe requirement for the phased array aerial is impractical. The invention can implement the estimations of the interference source number and the orientation by the space spectrum estimating technology firstly, and then can construct the interfering data covariance matrix by using the analog signals, then can obtain the self-adapting minor lobe cancellation weight vector calculated by the self-adapting method, thereby forming the wide zero point and deep zero defect self-adapting directional diagram to inhibit the complicated interferences. The technology of the invention can be used for the signal processing system of the phased array radar, the implementing is simple, and the invention has wide practical application prospects.

Description

technical field [0001] The invention relates to a phased array radar adaptive suppression special interference technology in the field of signal processing, which is suitable for phased array radar signal processing systems, such as sky wave over-the-horizon radar signal processing systems, large phased array radar signal processing systems , Airborne phased array early warning radar signal processing system and airborne battlefield reconnaissance radar signal processing system, etc. Background technique [0002] In order to search for space targets, phased array radar needs to scan in all directions. At present, in the process of radar countermeasures, the most common interference is suppressive interference. The interference form usually used is narrow-band noise interference. For multi-channel phased array radars, this kind of interference is relatively easy to suppress, and conventional adaptive methods can usually be used to suppress it. [0003] However, the conventio...

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Problems solved by technology

[0003] However, the conventional adaptive method has the following three shortcomings: First, it can only deal with oppressive noise interference, and cannot suppress complex interference, such as dense deception interference, motion interference, fast-changing gap interference or compound interference. It is impossible for conventional adaptive processing methods to fully learn these complex interferences, resulting in serious deterioration or even failure of the performance of conventional adaptive algorithms; second, adaptive interference cancellation needs to learn interference data, and the usual method is to conduct Learning, but for the radar of the PD system, there is no rest period, so it is easy to learn the target at this time, which leads to the cancellation of the target; the third is that the adaptive cancellation needs to consume the degree of freedom of space, that is, the cancellation A narrowband interference requires a space element. If there is broadband interference or dense interference, when the spatial degree of freedom is less than the interference degree of freedom, the adaptive algorithm will fail

Under the current technology and technology level, it is impractical to put too high sidelobe requirements on the antenna, especially for large phased array antennas, which cannot achieve ultra-low sidelobe at present.

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