Paper Info
Title
Multispectrally Constrained MIMO Radar Beampattern Design via Sequential Convex Approximation
Abstract
This article deals with the multiple-input–multiple-output (MIMO) radar beampattern design in an effort to the coexistence with multiple communication systems. A waveform optimization model accounting for the minimization of the beampattern integrated sidelobe level (ISL) along with the mainlobe width, peak-to-average power ratio, and energy constraints, as well as multispectral requirements where the interference energy injected by the MIMO radar in each shared frequency band in a particular direction, is precisely controlled to ensure the desired quality of service at each communication system. Through an equivalent reformulation of the original nonconvex problem, a polynomial-time sequential convex approximation (SCA) procedure that involves the tackling of a series of constrained convex problems is proposed to monotonically decrease the ISL with the convergence guaranteed to a Karush–Kuhn–Tucker point. Herein, to speed up the convergence, a fast iterative algorithm based on the alternating-direction-method-of-multipliers framework is introduced to globally solve the convex problems during each iteration of the SCA procedure. Numerical results are provided to assess the proposed algorithm in terms of the computational complexity, the achieved beampattern, and spectral compatibility with some competitive counterparts available in the open literatures.
Year
DOI
Venue
2022
10.1109/TAES.2022.3150619
IEEE Transactions on Aerospace and Electronic Systems
Keywords
DocType
Volume
Beampattern,integrated sidelobe level (ISL),multiple-input–multiple-output (MIMO) radar,peak-to-average power ratio (PAR),multispectral constraints
Journal
58
Issue
ISSN
Citations 
4
0018-9251
1
PageRank 
References 
Authors
0.36
42
6
Name
Order
Citations
PageRank
Xianxiang Yu12911.97
Hui Qiu211.03
Jing Yang310.70
Wenqiang Wei421.39
Guolong Cui53011.48
Lingjiang Kong634638.93