Compressive sensing‐based SAR imaging for undersampled echo. Issue 3 (27th December 2021)

• Record Type: Journal Article
• Authors: Chen, Weizhi; Cheng, Ziyue; Zhang, Yueyuan; Chen, Jiaqi; Zhan, Huopan
• Is Part Of: Microwave and optical technology letters. Volume 64:Issue 3(2022)
• Page Start: 476
• Page End: 481
• Publication Date: 2021-12-27
• Subjects: compressed sensing -- radar imaging -- SAR -- sparse recovery; Microwaves -- Periodicals; Optics -- Periodicals; 621
• DOI: 10.1002/mop.33141
• Languages: English
• ISSNs: 0895-2477

Abstract

Abstract: In view of the fact that the traditional radar system follows the Nyquist sampling theory and have the constraint of high sampling rate, we analyze a low‐speed sampling radar imaging based on compressed sensing. In compressed sensing, it uses the low‐rank characteristics of the signal to make it non‐adaptively sample the signal at a rate of far lower than the Nyquist sampling rate, so that it can reduce the requirements of hardware. Therefore, it not only can help to solve the problems of power, size, weight, reliability, and cost, but also can be seen as an upgrade and supplement of the traditional radar.