Dong, Y.Y., Dong, C.X., Liu, W. orcid.org/0000-0003-2968-2888 et al. (2 more authors) (2018) Robust DOA Estimation for Sources with Known Waveforms Against Doppler Shifts via Oblique Projection. IEEE Sensors Journal, 18 (16). pp. 6735-6742. ISSN 1530-437X
Abstract
As known, utilization of the information about signal waveform can improve the direction of arrival (DOA) estimation results. However, with a fast moving platform, Doppler effect occurs, which distorts the known waveforms and may result in large DOA estimation bias and even error for conventional DOA estimation methods for sources with known waveforms. To deal with this problem, a robust DOA estimation method for sources with known waveforms against Doppler shifts is developed. The proposed method first transforms the nonlinear mixing of Doppler shifts in the model to an approximately linear one using discrete-time Fourier transform (DTFT) and finite Taylor series expansion. Then, multiple oblique projectors are constructed to separate each component corresponding to different order of derivatives. Finally, estimations of DOAs, complex amplitudes and Doppler shifts are obtained simultaneously. Simulation results show that the proposed method has a much more robust DOA estimation performance than existing methods for sources with known waveforms.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 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: | Direction of arrival estimation; known waveform; Doppler shift; Taylor series expansion; oblique projection |
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: | 23 Jul 2018 12:22 |
Last Modified: | 11 Aug 2020 09:38 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/JSEN.2018.2851099 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133275 |