Shen, Q., Liu, W. orcid.org/0000-0003-2968-2888, Cui, W. et al. (2 more authors) (2019) Simplified and enhanced multiple level nested arrays exploiting high order difference co-arrays. IEEE Transactions on Signal Processing, 67 (13). pp. 3502-3515. ISSN 1053-587X
Abstract
Based on the high order difference co-array concept, an enhanced four level nested array (E-FL-NA) is first proposed, which optimizes the consecutive lags at the fourth order difference co-array stage. To simplify the formulations for sensor locations for comprehensive illustration and also convenient structure construction, a simplified and enhanced four level nested array (SE-FL-NA) is then proposed, whose performance is compromised but still better than the four level nested array (FL-NA). This simplified structure is further extended to the higher order case with multiple sub-arrays, referred to as simplified and enhanced multiple level nested arrays (SE-ML-NAs), where significantly increased degrees of freedom (DOFs) can be provided and exploited for underdetermined DOA estimation. Simulation results are provided to verify the superior performance of the proposed E-FL-NA, while a higher number of detectable sources is achieved by the SE-ML-NA with a limited number of physical sensors.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Sensor arrays; Direction-of-arrival estimation; Estimation; Array signal processing; Apertures; Multiple signal classification; Smoothing methods |
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) |
Funding Information: | Funder Grant number CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 May 2019 11:48 |
Last Modified: | 02 Dec 2021 14:35 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tsp.2019.2914887 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145921 |