Dynamic aircraft identification using HRRP under attitude perturbation interference

Abstract

The Automatic Target Recognition (ATR) with target High-Resolution Range Profile (HRRP) is of great research and application significance. Environmental interferences reflect close relevance with target HRRP imaging quality as well as classification performance. The dynamic target attitude perturbation is considered as one of the dominant interference factors. This paper studies its impact on aircraft HRRP through simulation and statistical analysis. HRRP confidence zone and similarity concepts are proposed as qualitative and quantitative tools for HRRP variation description under attitude perturbation. Extracted HRRP variation features provide a novel solution to overcome attitude perturbation interference in target classification while maintaining the accuracy. Classification evaluations over three aircraft models in accuracy and efficiency consolidate the proposed classification method which better suits the practical classification scenario.

Keywords:

• Radar imaging
• automatic target recognition
• feature extraction
• Monte Carlo simulation

Additional information

Notes on contributors

Jia Liu

Jia Liu received his B.S., M.S. and PhD degrees from the School of Electronic and Information Engineering in 2007, 2010 and 2014 respectively from BeiHang University, Beijing, China. He is currently a postdoctoral research associate in the Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign. His research interests include the radar target characteristic, computational electromagnetic, radar imaging and automatic target classification.

Bao Fa Wang

Bao Fa Wang received his B.S. degree in the School of Electronic and Information Engineering from the BeiHang University, Beijing, China in 1961. He is currently the professor in the School of Electronic and Information Engineering at BeiHang University. His research interests focus on radar target scattering and inverse scattering, computational electromagnetics, radar imaging and automatic target recognition.