Wideband DoA Estimation Based on Joint Optimisation of Array and Spatial Sparsity

Mingyang Chen; Wenwu Wang; Mark Barnard; Jonathon Chambers

doi:10.23919/EUSIPCO.2017.8081581

Wideband DoA Estimation Based on Joint Optimisation of Array and Spatial Sparsity

Mingyang Chen, Wenwu Wang, Mark Barnard, Jonathon Chambers

Research output: Contribution to conference › Paper › peer-review

Abstract

We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of array and spatial sparsity. Two-step iterative process is proposed. In the first step, the wideband signal is reshaped and used as the input to derive the weight coefficients using a sparse array optimisation method. The weights are then used to scale the observed signal model for which a compressive sensing based spatial sparsity optimisation method is used for DoA estimation. Simulations are provided to demonstrate the performance of the proposed method for both stationary and moving sources.

Original language	English
DOIs	https://doi.org/10.23919/EUSIPCO.2017.8081581
Publication status	Published - Oct 2017
Event	2017 25th European Signal Processing Conference (EUSIPCO) - Kos, Greece Duration: 28 Aug 2017 → 2 Sept 2017

Conference

Conference	2017 25th European Signal Processing Conference (EUSIPCO)
Period	28/08/17 → 2/09/17

Keywords

Sensor arrays
Direction-of-arrival estimation
Estimation
Wideband
Optimization
Array signal processing
Computer science and informatics

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10.23919/EUSIPCO.2017.8081581

http://dx.doi.org/10.23919/EUSIPCO.2017.8081581

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@conference{2821a434ccff4019a669d43fb74a2b23,

title = "Wideband DoA Estimation Based on Joint Optimisation of Array and Spatial Sparsity",

abstract = "We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of array and spatial sparsity. Two-step iterative process is proposed. In the first step, the wideband signal is reshaped and used as the input to derive the weight coefficients using a sparse array optimisation method. The weights are then used to scale the observed signal model for which a compressive sensing based spatial sparsity optimisation method is used for DoA estimation. Simulations are provided to demonstrate the performance of the proposed method for both stationary and moving sources.",

keywords = "Sensor arrays, Direction-of-arrival estimation, Estimation, Wideband, Optimization, Array signal processing, Computer science and informatics",

author = "Mingyang Chen and Wenwu Wang and Mark Barnard and Jonathon Chambers",

year = "2017",

month = oct,

doi = "10.23919/EUSIPCO.2017.8081581",

language = "English",

note = "2017 25th European Signal Processing Conference (EUSIPCO) ; Conference date: 28-08-2017 Through 02-09-2017",

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TY - CONF

T1 - Wideband DoA Estimation Based on Joint Optimisation of Array and Spatial Sparsity

AU - Chen, Mingyang

AU - Wang, Wenwu

AU - Barnard, Mark

AU - Chambers, Jonathon

PY - 2017/10

Y1 - 2017/10

N2 - We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of array and spatial sparsity. Two-step iterative process is proposed. In the first step, the wideband signal is reshaped and used as the input to derive the weight coefficients using a sparse array optimisation method. The weights are then used to scale the observed signal model for which a compressive sensing based spatial sparsity optimisation method is used for DoA estimation. Simulations are provided to demonstrate the performance of the proposed method for both stationary and moving sources.

AB - We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of array and spatial sparsity. Two-step iterative process is proposed. In the first step, the wideband signal is reshaped and used as the input to derive the weight coefficients using a sparse array optimisation method. The weights are then used to scale the observed signal model for which a compressive sensing based spatial sparsity optimisation method is used for DoA estimation. Simulations are provided to demonstrate the performance of the proposed method for both stationary and moving sources.

KW - Sensor arrays

KW - Direction-of-arrival estimation

KW - Estimation

KW - Wideband

KW - Optimization

KW - Array signal processing

KW - Computer science and informatics

U2 - 10.23919/EUSIPCO.2017.8081581

DO - 10.23919/EUSIPCO.2017.8081581

M3 - Paper

T2 - 2017 25th European Signal Processing Conference (EUSIPCO)

Y2 - 28 August 2017 through 2 September 2017

ER -

Wideband DoA Estimation Based on Joint Optimisation of Array and Spatial Sparsity

Abstract

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Keywords

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