Fast OMP algorithm for 3D parameters super‐resolution estimation in bistatic MIMO radar
Authors:
Open Access
- 1 June 2016
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 52 (13) , 1164-1166
Abstract
A fast super‐resolution method for joint Doppler frequency, direction of departure and direction of arrival estimation in bistatic MIMO radar is presented. First, the 3D echo signal model of bistatic MIMO radar with uniform linear transmit and uniform linear receive array is established. Then, the Kronecker compressive sensing (KCS) is introduced to improve the 3D parameters estimation performance. Moreover, a novel fast orthogonal matching pursuit (OMP) algorithm utilising 3D fast Fourier transformation is also presented to reduce the computation burden of KCS. Finally, the effectiveness of the method is validated by the simulation.Keywords
Funding Information
- National Natural Science Foundation of China (61372166)
This publication has 4 references indexed in Scilit:
- Spatial Compressive Sensing for MIMO RadarIEEE Transactions on Signal Processing, 2013
- Kronecker Compressive SensingIEEE Transactions on Image Processing, 2011
- Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry PropertyIEEE Transactions on Information Theory, 2010
- Signal Recovery From Random Measurements Via Orthogonal Matching PursuitIEEE Transactions on Information Theory, 2007