Tensor Decomposition-based Beamspace Esprit Algorithm for Multidimensional Harmonic Retrieval
| العنوان: | Tensor Decomposition-based Beamspace Esprit Algorithm for Multidimensional Harmonic Retrieval |
|---|---|
| المؤلفون: | Henk Wymeersch, Hing Cheung So, Fuxi Wen |
| المصدر: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing-Proceedings (15206149) vol.2020-May(2020) ICASSP |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computer science, Estimation theory, beamspace-ESPRIT, 020206 networking & telecommunications, 02 engineering and technology, Control Engineering, Matrix (mathematics), Tensor, Tensor (intrinsic definition), Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, Harmonic, Tensor decomposition, harmonic retrieval, CANDECOMP/PARAFAC decomposition, 020201 artificial intelligence & image processing, Algorithm, Computer Vision and Robotics (Autonomous Systems) |
| الوصف: | Beamspace processing is an efficient and commonly used approach in harmonic retrieval (HR). In the beamspace, measurements are obtained by linearly transforming the sensing data, thereby achieving a compromise between estimation accuracy and system complexity. Meanwhile, the widespread use of multi-sensor technology in HR has highlighted the necessity to move from a matrix (two-way) to tensor (multi-way) analysis. In this paper, we propose a beamspace tensor-ESPRIT for multidimensional HR. In our algorithm, parameter estimation and association are achieved simultaneously. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f301e01a23acb5cbb7310396c1ff51a https://research.chalmers.se/en/publication/7b9c04f4-7dff-4cda-b31e-8a5d6ed5467f |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....8f301e01a23acb5cbb7310396c1ff51a |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |