Paper Info
Title
Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms.
Abstract
Multiple-input multiple-output (MIMO) radar equipped with a frequency diverse array (FDA) can produce a range-dependent beampattern and increase the degrees-of-freedom of the antenna array. In this paper, a new method of designing the MIMO radar beampattern with sparse frequency waveforms is proposed for the FDA, which randomly samples multiple distance points such that the MIMO radar beampattern with the both sparse frequency spectrum and constant modulus constraints are realized by the proposed beampattern design framework. The main steps are as follows. We first obtain the covariance matrix of the transmitted signal by a given ideal beampattern, and formulate the problem of designing the realizable beampattern as a nonconvex optimization problem, which includes the constraints of the both constant modulus of transmitted signals and sparse frequency spectrum. Then, a cyclic optimization algorithm is proposed, which guarantees the monotonic decrease of the objective function as the algorithm proceeds. The simulation results illustrate that the proposed method can achieve smaller errors than the traditional method, which does not consider the frequency diversity.
Year
DOI
Venue
2017
10.1109/ACCESS.2017.2703647
IEEE ACCESS
Keywords
Field
DocType
Frequency diverse array (FDA),multiple-input multiple-output (MIMO),nonconvex optimization,beampattern design,sparse frequency waveforms
Radar,Monotonic function,Diversity scheme,Control theory,Computer science,Waveform,MIMO,Antenna array,Algorithm,Covariance matrix,Optimization problem,Distributed computing
Journal
Volume
ISSN
Citations 
5
2169-3536
1
PageRank 
References 
Authors
0.36
9
4
Name
Order
Citations
PageRank
Chaoyun Mai110.36
Songtao Lu28419.52
Jinping Sun35916.15
Guohua Wang4212.70