Radar target constant false alarm rate detection method based on clutter knowledge

Abstract

The invention discloses a radar target constant false alarm detection method based on clutter knowledge. Under the background of non-uniform and dynamic time-varying clutters, the processing capacity of a traditional constant false alarm detection method is greatly reduced, and the detection performance is obviously reduced. In order to improve the detection performance and improve the adaptive capacity of the radar under the complex clutter background, the method utilizes the obtained clutter priori knowledge to dynamically select parameters according to the background clutter change to calculate a threshold value, so that the radar can dynamically adapt to the complex clutter environment. The method has excellent detection performance under the backgrounds of uniform clutters, edge clutters and the like, the radar can be helped to adapt to clutters with different distribution characteristics, the detection capability of the radar in a complex environment is effectively enhanced, and the method is more in line with the development direction of cognitive radars.

Description

technical field [0001] The invention relates to the technical field of radar target detection, in particular to a radar target constant false alarm detection method based on clutter knowledge, which is suitable for radar target detection in various environments such as uniform and clutter edges. Background technique [0002] At present, the data processed by the radar system is usually only the received echo signal, and no or less use of other target and environmental information. In order to perform signal processing efficiently, radars usually use adaptive processing technology, which means that the environment of the detected target is stable and uniform, and enough target signal data can be obtained. But in actual scenes, the clutter environment often changes its space according to the changes of radar observation geometry and geographical terrain. This shows that the clutter environment is non-uniform and non-stationary, and simply using a uniform stationary model cann...

AI Technical Summary

Problems solved by technology

These methods are usually only effective for constant false alarm detection under a specific clutter background, but in the actual battlefield environment, due to the time-varying nature of the environment, the clutter background is diverse, and the clutter background where the target is located will appear various situations

Therefore, these methods will no longer be applicable to the actual clutter background, which will lead to a severe degradation of the target detection performance of the radar

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