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- W2912992879 abstract "Source localization (in far-field or in near-field) and time-delay estimation have many practical applications. To locate a far-field source from a sensor array, only the direction of arrival (DOA) of the source is necessary. When the sources are in a near-field situation, the wavefront of the signal is spherical and two parameters are needed to locate the sources: the direction of arrival and the distance between the source and the sensors. In this thesis, we focus on the localization of sources (both in far-field and near-field) as well as the estimation of time-delay in the context where the signals are coherent, overlapped and with a small number of snapshots.First, we propose to combine the theory of the SVR method (support vector regression, which is a supervised learning-based regression method) with the theory of forward-backward linear prediction (FBLP). The proposed method, called FBLP-SVR, is developed for two applications: far-field source localization and time-delay estimation by using ground penetrating radar. The proposed method is evaluated by simulations and experiments. We also propose a near-field source localization method in the context where the signals are coherent and overlapped. The proposed method is based on a focusing technique, a spatial smoothing preprocessing, and a subspace method in the estimation of DOA. Then, the distances between the sources and sensors are estimated with the maximum likelihood method." @default.
- W2912992879 created "2019-02-21" @default.
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- W2912992879 date "2018-07-10" @default.
- W2912992879 modified "2023-09-23" @default.
- W2912992879 title "Time-delay estimation and source localization in radar systems" @default.
- W2912992879 hasPublicationYear "2018" @default.
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