Array geometries, signal type, and sampling conditions for the application of compressed sensing in MIMO radar

Juan Lopez; Zhijun Qiao

doi:10.1117/12.2016296

31 May 2013 Array geometries, signal type, and sampling conditions for the application of compressed sensing in MIMO radar

Juan Lopez, Zhijun Qiao

Author Affiliations +

Proceedings Volume 8717, Compressive Sensing II; 871702 (2013) https://doi.org/10.1117/12.2016296
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

MIMO radar utilizes the transmission and reflection of multiple independent waveforms to construct an image approximating a target scene. Compressed sensing (CS) techniques such as total variation (TV) minimization and greedy algorithms can permit accurate reconstructions of the target scenes from undersampled data. The success of these CS techniques is largely dependent on the structure of the measurement matrix. A discretized inverse scattering model is used to examine the imaging problem, and in this context the measurement matrix consists of array parameters regarding the geometry of the transmitting and receiving arrays, signal type, and sampling rate. We derive some conditions on these parameters that guarantee the success of these CS reconstruction algorithms. The effect of scene sparsity on reconstruction accuracy is also addressed. Numerical simulations illustrate the success of reconstruction when the array and sampling conditions are satisfied, and we also illustrate erroneous reconstructions when the conditions are not satisfied.

Citation Download Citation

Juan Lopez and Zhijun Qiao "Array geometries, signal type, and sampling conditions for the application of compressed sensing in MIMO radar", Proc. SPIE 8717, Compressive Sensing II, 871702 (31 May 2013); https://doi.org/10.1117/12.2016296

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