1. Approach for transient interference detection based on straight line extraction for high‐frequency sky‐wave radar
- Author
-
Zhongtao Luo, Tiecheng Song, Zishu He, and Jinfeng Hu
- Subjects
Computer science ,Doppler radar ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,0211 other engineering and technologies ,02 engineering and technology ,Interference (wave propagation) ,Edge detection ,Hough transform ,law.invention ,symbols.namesake ,law ,020204 information systems ,Radar imaging ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,Computer vision ,Electrical and Electronic Engineering ,Radar ,021101 geological & geomatics engineering ,business.industry ,Image segmentation ,Single antenna interference cancellation ,Computer Science::Computer Vision and Pattern Recognition ,symbols ,Artificial intelligence ,business ,Doppler effect - Abstract
Transient interference cancellation is necessary for high-frequency sky-wave radar and usually requires accurate interference detection and localisation which is complicated due to the non-uniform noise level caused by sea-clutter mitigation in Doppler domain. A novel approach is proposed by converting the detection of interference into a problem of straight line extraction in the constructed fast- and slow-time images. The line edges are detected by an edge detector, such as Canny method, followed by Hough transform. Then, each edge is classified as a rising, falling or false-alarm edge based on multi-threshold segmentation of image sub-blocks. Experimental results demonstrate the effectiveness of the proposed approach.
- Published
- 2017