Low complexity sparse beamspace DOA estimation via single measurement vectors for uniform circular array

In this paper, we present a low complexity sparse beamspace direction-of-arrival (DOA) estimation method for uniform circular array (UCA). In the proposed method, we firstly use the beamspace transformation (BT) to transform the signal model of UCA in element-space domain to that of virtual uniform...

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Vydáno v:	EURASIP journal on advances in signal processing Ročník 2021; číslo 1; s. 1 - 20
Hlavní autoři:	Zhao, Di, Tan, Weijie, Deng, Zhongliang, Li, Gang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 30.07.2021 Springer Springer Nature B.V SpringerOpen
Témata:	Beamspace transformation Complexity Computational geometry Convex analysis Convex optimization Convexity Covariance matrix Decomposition Direction of arrival Direction-of-arrival estimation Domains Engineering Integrated Space-Ground-Sea Wireless Networks for B5G Linear arrays Low complexity Mathematical analysis Methods Music Noise Optimization Quantum Information Technology Signal processing Signal to noise ratio Signal,Image and Speech Processing Sparsity Spintronics Uniform circular array Vector processing (computers) Vectors (mathematics) China Direction-of-arrival estimation Low complexity Beamspace transformation Uniform circular array Convex optimization
ISSN:	1687-6180, 1687-6172, 1687-6180
On-line přístup:	Získat plný text
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