Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (4): 776-781.doi: 10.3969/j.issn.1001-506X.2018.04.10

Previous Articles     Next Articles

Extraction of radio frequency interference based on image segmentation for high frequency radar

LUO Zhongtao1, WU Taifeng1, HE Zishu2, CHEN Xuyuan3   

  1. 1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; 2. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; 3. Nanjing Research Institute of Electronics Technology, Nanjing 210013, China

  • Online:2018-03-25 Published:2018-04-02

Abstract:

High frequency radars need to suppress the radio frequency interference (RFI), where suppression performances are constrained by RFI samples. To obtain the RFI samples from the received data or the range-Doppler (RD) map, a novel approach is proposed to extract the RFI regions in the RD map based on image segmentation methods. By transforming the RD map into a gray image, algorithms of seaclutter mitigation, edge detection, segments and lines detection are developed, to extract the RFI edges and regions. Thus, the recovered RFI data can be used to estimate the RFI properties accurately and improve the suppression performances. Practical experiences show that the proposed approach can detect the RFI line successfully even when 75% of it is covered by sea clutter. To demonstrate its application, the proposed algorithms is also applied in receive filter design which can suppress the RFI effectively.

[an error occurred while processing this directive]