Method and device for real-time detection SAR movement objective by choosing small unit average constant false alarm rate

Abstract

The invention discloses a method and a device for selecting the small unit average constant false alarm rate for the real-time detection of a moving target of a synthetic aperture radar (SAR); the device comprises: a linear wave detector, a first reference unit, a first protection unit, a second protection unit, a detection unit, a comparator unit, a first average processing unit, a second average processing unit, a small-selecting comparator unit and a multiplier unit; the method comprises that: the image data of the synthetic aperture radar is carried out the linear wave detection and then is sequentially input into the detection unit; the both ends of the detection unit are respectively provided with one protection unit and the reference unit, the small value of the two values after averaging each reference unit is taken, and the threshold is obtained by multiplying the small value with the detection threshold; the detection unit and the threshold are compared to obtain the detection result; then, the image edge is carried out the detection to obtain the whole frame of the detected target image. The method solves the problems such as lower detection probability, high false alarm rate and vulnerability of the interference of the prior art; and the invention provides the system which has small calculation amount, simple operation, improved detection effect and is applicable to the real-time detection of the moving target.

Description

technical field [0001] The invention belongs to the technical field of synthetic aperture radar (SAR), and relates to a method for detecting a SAR moving target in real time. Background technique [0002] Moving target detection and imaging is one of the basic functions of Synthetic Aperture Radar (SAR), which plays an important role in both military and civilian applications. Most of the previous literatures discussed the clutter filtering method, but ignored the impact of noise on the detection of moving targets after clutter filtering. No matter which clutter filtering method is used, a large amount of noise remains after clutter filtering, and the moving target is often submerged in the noise, and the detection performance is directly affected by the signal-to-noise ratio of the target. In the previous real-time moving target detection system, after clutter filtering, the unit average constant false alarm rate (CFAR) method is used to detect moving targets directly. Thi...

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Problems solved by technology

However, in a multi-target environment, the detection target is often interfered by the surrounding targets

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