A new DOA estimation approach using Volterra signal model

In this paper, we proposed a new direction-of-arrival estimation approach using Volterra signal model in spatial domain. The new technique basically uses additionally the second-order terms of Volterra series to produce augmented Volterra snapshots, the extension for higher-order case is straightfor...

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Main Authors:	Wen, Fuxi, Ng, Boon Poh
Other Authors:	School of Electrical and Electronic Engineering
Format:	Article
Language:	English
Published:	2013
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	https://hdl.handle.net/10356/104316 http://hdl.handle.net/10220/16990
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1043162020-03-07T14:00:37Z A new DOA estimation approach using Volterra signal model Wen, Fuxi Ng, Boon Poh School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this paper, we proposed a new direction-of-arrival estimation approach using Volterra signal model in spatial domain. The new technique basically uses additionally the second-order terms of Volterra series to produce augmented Volterra snapshots, the extension for higher-order case is straightforward. The resolution of the proposed method is high comparing with the standard multiple signal classification (MUSIC) algorithm and the 2q-MUSIC algorithm. Simulation results are presented to show the performance of the proposed technique. 2013-10-28T09:16:27Z 2019-12-06T21:30:16Z 2013-10-28T09:16:27Z 2019-12-06T21:30:16Z 2013 2013 Journal Article Wen, F., & Ng, B. P.(2013). A new DOA estimation approach using Volterra signal model. Multidimensional Systems and Signal Processing. https://hdl.handle.net/10356/104316 http://hdl.handle.net/10220/16990 10.1007/s11045-013-0228-5 en Multidimensional systems and signal processing
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wen, Fuxi Ng, Boon Poh A new DOA estimation approach using Volterra signal model
description	In this paper, we proposed a new direction-of-arrival estimation approach using Volterra signal model in spatial domain. The new technique basically uses additionally the second-order terms of Volterra series to produce augmented Volterra snapshots, the extension for higher-order case is straightforward. The resolution of the proposed method is high comparing with the standard multiple signal classification (MUSIC) algorithm and the 2q-MUSIC algorithm. Simulation results are presented to show the performance of the proposed technique.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Wen, Fuxi Ng, Boon Poh
format	Article
author	Wen, Fuxi Ng, Boon Poh
author_sort	Wen, Fuxi
title	A new DOA estimation approach using Volterra signal model
title_short	A new DOA estimation approach using Volterra signal model
title_full	A new DOA estimation approach using Volterra signal model
title_fullStr	A new DOA estimation approach using Volterra signal model
title_full_unstemmed	A new DOA estimation approach using Volterra signal model
title_sort	new doa estimation approach using volterra signal model
publishDate	2013
url	https://hdl.handle.net/10356/104316 http://hdl.handle.net/10220/16990
_version_	1681034729605824512

A new DOA estimation approach using Volterra signal model

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