Development of laser radar imaging technology based on compressive sensing

Lei Yan; Qun Hao; Xuemin Cheng

doi:10.1117/12.2548743

13 November 2019 Development of laser radar imaging technology based on compressive sensing

Lei Yan, Qun Hao, Xuemin Cheng

Proceedings Volume 11343, Ninth International Symposium on Precision Mechanical Measurements; 113431L (2019) https://doi.org/10.1117/12.2548743
Event: International Symposium on Precision Mechanical Measurements 2019, 2019, Chongqing, China

Abstract

Compressive sensing (CS), which breaks the classical Nyquist limit and does not require a high sampling rate, can be used to recover a complete signal by using much less information and an optimization strategy. Further, it reduces the calculations required for signal reconstruction, and requires simpler signal collection and processing than other sensing techniques. It can reduce the data rate of high-resolution imaging radar systems and the amount of sampling, storage, and transmission data effectively. In this study, we first describe the basic theory model of CS. Then, we review the latest developments in radar imaging algorithms based on CS, followed by a comprehensive review of CS applications in high resolution radars, including SARs/ISARs, through-the-wall (TTW) radars, MIIMO radars, and ground-penetrating (GP) radars. This review highlights the importance of CS in simplifying radar hardware, overcoming data limitations, and improving the radar imaging performance. Next, an in-depth discussion and analysis of the advantages and disadvantages of CS-based radar imaging are presented. Finally, we highlight some of the challenges and research directions in this field.

Citation Download Citation

Lei Yan, Qun Hao, and Xuemin Cheng "Development of laser radar imaging technology based on compressive sensing", Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 113431L (13 November 2019); https://doi.org/10.1117/12.2548743

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available