Image reconstruction and compressive sensing in MIMO radar

Bing Sun; Juan Lopez; Zhijun Qiao

doi:10.1117/12.2051275

3 June 2014 Image reconstruction and compressive sensing in MIMO radar

Bing Sun, Juan Lopez, Zhijun Qiao

Proceedings Volume 9077, Radar Sensor Technology XVIII; 90770O (2014) https://doi.org/10.1117/12.2051275
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Multiple-input multiple-output (MIMO) radar utilizes the flexible configuration of transmitting and receiving antennas to construct images of target scenes. Because of the target scenes' sparsity, the compressive sensing (CS) technique can be used to realize a feasible reconstruction of the target scenes from undersampling data. This paper presents the signal model of MIMO radar and derive the corresponding CS measurement matrix, which shows success of the CS technique. Also the basis pursuit method and total-variation minimization method are adopted for different scenes' recovery. Numerical simulations are provided to illustrate the validity of reconstruction for one dimensional and two dimensional scenes.

Citation Download Citation

Bing Sun, Juan Lopez, and Zhijun Qiao "Image reconstruction and compressive sensing in MIMO radar", Proc. SPIE 9077, Radar Sensor Technology XVIII, 90770O (3 June 2014); https://doi.org/10.1117/12.2051275

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