Hawes, M.B. and Liu, W. (2014) A Compressive Sensing Based Approach to Sparse Wideband Array Design. UNSPECIFIED. (Unpublished)
Abstract
Sparse wideband sensor array design for sensor location optimisation is highly nonlinear and it is traditionally solved by genetic algorithms, simulated annealing or other similar optimization methods. However, this is an extremely time-consuming process and more efficient solutions are needed. In this work, this problem is studied from the viewpoint of compressive sensing and a formulation based on a modified l1 norm is derived. As there are multiple coefficients associated with each sensor, the key is to make sure that these coefficients are simultaneously minimized in order to discard the corresponding sensor locations. Design examples are provided to verify the effectiveness of the proposed methods.
Metadata
Item Type: | Other |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 The Author(s). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Feb 2016 15:04 |
Last Modified: | 21 Mar 2018 02:16 |
Status: | Unpublished |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:94834 |