Mainlobe interference suppression with eigenprojection algorithm and similarity constraints

• Published in: Electronics letters Vol. 52; no. 3; pp. 228 - 230
• Main Authors: Qian, Junhui, He, Zishu
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 04.02.2016
• Subjects: adaptive beamforming; Algorithms; array signal processing; beam pattern similarity; Beams (radiation); Computer simulation; convex objective function; eigenprojection algorithm; eigenprojection matrix; Interference; interference suppression; mainlobe interference suppression technique; Mathematical analysis; matrix algebra; Radar, sonar and navigation; sidelobe interferences; Sidelobes; Similarity; Vectors (mathematics); interference suppression; beam pattern similarity; adaptive beamforming; mainlobe interference suppression technique; convex objective function; sidelobe interferences; eigenprojection matrix; array signal processing; matrix algebra; eigenprojection algorithm
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2015.2951

Here a novel mainlobe interference suppression technique based on eigenprojection algorithm and beam pattern similarity constraints is proposed. This method can effectively suppress the multiple mainlobe interferences and sidelobe interferences. The output of adaptive beamforming is calculated via adaptive weight vector obtained by the convex objective function and processed echo data based on the eigenprojection matrix. The simulations have been presented to evaluate the theoretical analysis.