Efficient ℓq regularisation algorithm with range–azimuth decoupled for SAR imaging. Issue 3 (1st January 2014)

• Record Type: Journal Article
• Authors: Jiang, C.L.; Zhang, B.C.; Fang, J.; Zhe, Z.; Hong, W.; Wu, Y.R.; Xu, Z.B.
• Is Part Of: Electronics letters. Volume 50:Issue 3(2014)
• Page Start: 204
• Page End: 205
• Publication Date: 2014-01-01
• Subjects: computational complexity -- matrix algebra -- radar imaging -- radar resolution -- synthetic aperture radar; efficient â„"q regularisation algorithm -- synthetic aperture radar imaging methods -- SAR imaging methods -- compressive sensing -- computational complexity -- large measurement matrix -- range‐azimuth decoupling operator -- chirp scaling -- linear logarithm -- square order logarithm -- imaging quality -- sparse scenes -- sub‐sampling data; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2013.1989
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : The synthetic aperture radar (SAR) imaging methods based on compressive sensing endure great computational complexity since they have to deal with a large measurement matrix when processing the raw data. An efficient ℓ q regularisation algorithm for SAR imaging is proposed, which uses a decoupling operator constructed by means of chirp scaling. It can reduce the computational complexity from the square order to the linear logarithm order compared with the conventional ℓ q regularisation‐based imaging algorithm while preserving the equivalent imaging quality. The proposed algorithm is efficient in the sense that it allows reconstruction of the sparse scenes with the sub‐sampling data.