dc.contributor.authorMai, Chaoyun
dc.contributor.authorLu, Songtao
dc.contributor.authorSun, Jinping
dc.contributor.authorWang, Guohua
dc.identifier.citationMai, C., Lu, S., Sun, J., & Wang, G. (2017). Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms. IEEE Access, 5, 17914-17926.en_US
dc.description.abstractMultiple-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.en_US
dc.format.extent13 p.en_US
dc.relation.ispartofseriesIEEE Accessen_US
dc.rights© 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.en_US
dc.subjectFrequency Diverse Array (FDA)en_US
dc.subjectMultiple-Input Multiple-Output (MIMO)en_US
dc.titleBeampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveformsen_US
dc.typeJournal Article
dc.contributor.researchTemasek Laboratoriesen_US
dc.description.versionPublished versionen_US

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