Approximated observation operator‐based ℓq regularisation algorithm for SAL imaging. Issue 14 (1st July 2017)

• Record Type: Journal Article
• Authors: Wang, Ning; Wei, Zhonghao; Li, Guangzuo; Wang, Ran; Zhang, Keshu; Wu, Yirong
• Is Part Of: Electronics letters. Volume 53:Issue 14(2017)
• Page Start: 955
• Page End: 956
• Publication Date: 2017-07-01
• Subjects: matched filters -- computational complexity -- radar clutter -- motion compensation -- optimisation -- atmospheric turbulence -- radar imaging -- optical radar -- synthetic aperture radar; approximated observation operator -- ℓq regularisation algorithm -- SAL imaging -- synthetic aperture ladar -- synthetic aperture radar -- optical frequency -- atmosphere turbulence -- phase error -- signal‐to‐noise ratio -- ℓq norm optimisation problem -- motion compensation method -- side lobe -- target‐to‐clutter ratio -- image contrast -- computational complexity -- matched filtering imaging algorithm -- real airborne SAL data; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.1139
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : The synthetic aperture ladar (SAL) is similar to the synthetic aperture radar (SAR) while working at optical frequency, which could provide higher resolution than SAR. However, due to the shorter wavelength, the vibration of the platform and atmosphere turbulence will induce more serious phase error, which results in the defocused SAL image with lower signal‐to‐noise ratio. A novel approximated observation operator‐based imaging method for SAL is proposed to solve an ℓq norm optimisation problem. Combined with the motion compensation method, the presented ℓq regularisation algorithm can suppress the side lobe and clutter, and improve the target‐to‐clutter ratio and image contrast efficiently. Also, the computational complexity is the same as the matched filtering imaging algorithm. Real airborne SAL data has been used to demonstrate the feasibility of the proposed algorithm.