Article (Scientific journals)
Generalized Waveform Design for Sidelobe Reduction in MIMO Radar Systems
RAEI, Ehsan; ALAEE, Mohammad; Babu, Prabhu et al.
2023In Signal Processing, 206, p. 108914
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Keywords :
BSUM; ISL; MIMO Radar; PSL; Waveform Design; ℓp-norm; Block successive upper bound minimization; Integrated sidelobe level; Minimisation; Multiple-input multiple-output radars; Peak sidelobe level; Side lobes; Sidelobe levels; Upper Bound; Waveform designs; Control and Systems Engineering; Software; Signal Processing; Computer Vision and Pattern Recognition; Electrical and Electronic Engineering; l(p)-norm
Abstract :
[en] Multiple-input multiple-output (MIMO) radars transmit a set of sequences that exhibit small cross-correlation sidelobes, which enhance sensing performance by separating them at the matched filter outputs. Small auto-correlation sidelobes are also required in order to avoid masking of weak targets by the range sidelobes of strong targets and to mitigate the negative effects of distributed clutter. In light of these requirements, in this paper, we design a set of phase-only (constant modulus) sequences that exhibit near-optimal properties in terms of Peak Sidelobe Level (PSL) and Integrated Sidelobe Level (ISL). At the design stage, we adopt weighted ℓp-norm of auto- and cross-correlation sidelobes as the objective function and minimize it for a general p value, using block successive upper bound minimization (BSUM). Considering the limitation of radar amplifiers, we design unimodular sequences which make the design problem non-convex and NP-hard. To tackle the problem, in every iteration of the BSUM algorithm, we introduce different local approximation functions and optimize them concerning a block, containing a code entry or a code vector. The numerical results show that the performance of the optimized set of sequences outperforms the state-of-the-art counterparts, in terms of both PSL values and computational time.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications
Disciplines :
Computer science
Author, co-author :
RAEI, Ehsan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SPARC > Team Bhavani Shankar MYSORE RAMA RAO
ALAEE, Mohammad  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
Babu, Prabhu;  Member, EURASIP, University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg
Bhavani Shankar, M.R.;  Member, EURASIP, University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg
External co-authors :
yes
Language :
English
Title :
Generalized Waveform Design for Sidelobe Reduction in MIMO Radar Systems
Publication date :
May 2023
Journal title :
Signal Processing
ISSN :
0165-1684
eISSN :
1872-7557
Publisher :
Elsevier B.V.
Volume :
206
Pages :
108914
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR Project :
FNR12734677 - Signal Processing For Next Generation Radar, 2018 (01/09/2019-31/08/2022) - Bjorn Ottersten
Funders :
European Research Council
Fonds National de la Recherche Luxembourg
Union Européenne [BE]
Funding text :
This work was supported by the Luxembourg National Research Fund (FNR) CORE SPRINGER, ref C18/IS/12734677 and in part by European Research Council Advanced Grant AGNOSTIC EC/H2020/ERC2016ADG/742648/AGNOSTIC
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