SAR high-resolution imaging from missing raw data using StOMP

Abstract

SAR raw data missing occurs when radar is interrupted for various reasons. In order to deal with this problem, a method is proposed to focus the missing SAR raw data via stage-wise orthogonal matching pursuit (StOMP). A reference function in time domain is designed for the missing raw data. After matched with the reference function, the energy of missing raw data is concentrated in two-dimensional frequency domain. Then, StOMP algorithm is available to recover the matched raw data in two-dimensional frequency domain. The recovered raw data is available to be processed with traditional SAR imaging algorithms. The Omega-K algorithm is chosen to deal with the recovered raw data in experiments. Point target and area target simulations are carried out to validate the effectiveness of the proposed method for azimuth missing SAR raw data. The data missing rate is 50% in both point and area target simulation. The resolution of point targets can reach 0.3 m in both range and azimuth direction.

Keywords

• iterative methods
• synthetic aperture radar
• radar imaging
• image resolution
• time-frequency analysis
• size 0.3 m
• point targeta simulations
• area target simulations
• stomp algorithm
• time domain
• data missing rate
• azimuth missing sar raw data
• traditional sar imaging algorithms
• recovered raw data
• matched raw data
• two-dimensional frequency domain
• reference function
• stage-wise orthogonal matching pursuit
• sar raw data missing
• sar high-resolution imaging