Fast OMP algorithm for 2D angle estimation in MIMO radar

Fast OMP algorithm for 2D angle estimation in MIMO radar

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A high-dimensional sparse signal usually should be realigned as a long 1D signal to be recovered by orthogonal matching pursuit (OMP), an efficient algorithm for compressed sensing. Clearly, however, the realigned long signal will result in a large amount of computation in OMP. If each atom in the dictionary can be expressed as the Kronecker product of two vectors, it can possible to decompose this dictionary into two sub-dictionaries. By exploiting this property, a fast OMP algorithm for 2D sparse signals of this kind is presented, and applied to 2D angle estimation in MIMO radar. Simulation results verify its good reconstruction quality approximate to that of OMP and greatly improved computational efficiency.


    1. 1)
      • D. Malioutov , M. Cetin , A.S. Willsky . A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans. Signal Process. , 8 , 3010 - 3022
    2. 2)
      • J.A. Tropp , A.C. Gilbert . Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory , 12 , 4655 - 4666
    3. 3)
      • Chen, C.Y., Vaidyanathan, P.P.: `Compressed sensing in MIMO radar', in Signals, Systems and Computers, 42nd Asilomar Conf., October 2008, Pacific Grove, CA, USA, p. 41–44.
    4. 4)

Related content

This is a required field
Please enter a valid email address