Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Binary Sequences set with small ISL for MIMO radar systems
Alaee-Kerahroodi, Mohammad; Modarres-Hashemi, Mahmoud; Naghsh, Mohammad Mahdi Naghsh et al.
2018In 2018 26th European Signal Processing Conference (EUSIPCO)
Peer reviewed
 

Files


Full Text
2.pdf
Publisher postprint (217.69 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] In this paper, we aim at designing a set of binary sequences with good aperiodic auto- and crosscorrelation properties for Multiple-Input-Multiple-Output (MIMO) radar systems. We show such a set of sequences can be obtained by minimizing the Integrated Side Lobe (ISL) with the binary requirement imposed as a design constraint. By using the block coordinate descent (BCD) framework, we propose an efficient monotonic algorithm based on Fast Fourier Transform (FFT), to minimize the objective function which is non-convex and NP-hard in general. Simulation results illustrate that the ISL of designed binary set of sequences is the neighborhood of the Welch bound, Indicating its superior performance.
Disciplines :
Computer science
Author, co-author :
Alaee-Kerahroodi, Mohammad
Modarres-Hashemi, Mahmoud
Naghsh, Mohammad Mahdi Naghsh
Shankar, Bhavani  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Binary Sequences set with small ISL for MIMO radar systems
Publication date :
2018
Event name :
2018 26th European Signal Processing Conference (EUSIPCO)
Event date :
3-09-2018 to 7-09-2018
Audience :
International
Main work title :
2018 26th European Signal Processing Conference (EUSIPCO)
Publisher :
IEEE
ISBN/EAN :
978-9-0827-9701-5
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 09 January 2019

Statistics


Number of views
122 (4 by Unilu)
Number of downloads
1 (1 by Unilu)

Scopus citations®
 
14
Scopus citations®
without self-citations
8

Bibliography


Similar publications



Contact ORBilu