http://iet.metastore.ingenta.com
1887

Spectral fitting method for designing radar sequence with spectral nulling and correlation constraints

Spectral fitting method for designing radar sequence with spectral nulling and correlation constraints

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

Buy article PDF
$19.95
(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
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Radar, Sonar & Navigation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In this study, the authors consider the radar sequence generation problem, where the sequence is required to possess the spectral nulling and low-correlation levels in crowded electromagnetic environments. The design problem of the sequence with the desired spectrum and correlation properties is formulated as the minimisation of the difference between the true ones and the desired ones, respectively. Then a spectral fitting method is proposed to solve it, by applying the time-frequency transformation. The proposed method is based solely on fast Fourier transform operations, thus it is computationally efficient. An extension to sequence sets design is also presented. Numerical simulations indicate that, compared with the state-of-the-art algorithms, the proposed method can achieve better or identical results with greatly reduced running time.

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rsn.2018.5171
Loading

Related content

content/journals/10.1049/iet-rsn.2018.5171
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address