Reweighted -norm minimisation for high-resolution DOA estimation under unknown mutual coupling

Reweighted -norm minimisation for high-resolution DOA estimation under unknown mutual coupling

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 reweighted -norm minimisation algorithm for high-resolution direction-of-arrival (DOA) estimation under unknown mutual coupling is proposed in this Letter. First, the proposed method forms a new block representation model by parameterising the steering vector. Then, a reweighted -norm constraint based on the new data model is proposed, in which the principle of a novel multiple signals classification (MUSIC)-like algorithm is used to construct a weighted matrix. Finally, the DOAs can be achieved by the recovered sparse matrix. Owing to the use of the whole received data and reweighted procedure, the performance of the proposed method is better than the state-of-the-art methods. Extensive simulation experiments confirm that the above inference is correct.


    1. 1)
    2. 2)
      • 2. Stoica, P., Li, J.: ‘MIMO radar signal processing’ (Wiley, New York, 2009), pp. 110.
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)

Related content

This is a required field
Please enter a valid email address