Liu, Tianyi ; Pesavento, Marius (2024)
Blind Phase-Offset Estimation in Sparse Partly Calibrated Arrays.
13rd Sensor Array and Multichannel Signal Processing Workshop. Corvallis, USA (08.07.2024 - 11.07.2024)
doi: 10.1109/SAM60225.2024.10636507
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Spatial frequency estimation from a superposition of impinging waveforms in the presence of noise is important in many applications. While subspace-based methods offer high-resolution parameter estimation at a low computational cost, they heavily rely on precise array calibration with a synchronized clock, posing challenges for large distributed antenna arrays. In this study, we focus on direction-of-arrival (DoA) estimation within sparse partly calibrated rectangular arrays. These arrays consist of multiple perfectly calibrated sub arrays with unknown phase-offsets among them. We present a gridless sparse formulation for DoA estimation leveraging the multiple shift-invariance properties in the partly calibrated array. Additionally, an efficient blind calibration technique is proposed based on semidefinite relaxation to estimate the intersubarray phase-offsets accurately.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Liu, Tianyi ; Pesavento, Marius |
| Art des Eintrags: | Bibliographie |
| Titel: | Blind Phase-Offset Estimation in Sparse Partly Calibrated Arrays |
| Sprache: | Englisch |
| Publikationsjahr: | 26 August 2024 |
| Verlag: | IEEE |
| Buchtitel: | 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM) |
| Veranstaltungstitel: | 13rd Sensor Array and Multichannel Signal Processing Workshop |
| Veranstaltungsort: | Corvallis, USA |
| Veranstaltungsdatum: | 08.07.2024 - 11.07.2024 |
| DOI: | 10.1109/SAM60225.2024.10636507 |
| Kurzbeschreibung (Abstract): | Spatial frequency estimation from a superposition of impinging waveforms in the presence of noise is important in many applications. While subspace-based methods offer high-resolution parameter estimation at a low computational cost, they heavily rely on precise array calibration with a synchronized clock, posing challenges for large distributed antenna arrays. In this study, we focus on direction-of-arrival (DoA) estimation within sparse partly calibrated rectangular arrays. These arrays consist of multiple perfectly calibrated sub arrays with unknown phase-offsets among them. We present a gridless sparse formulation for DoA estimation leveraging the multiple shift-invariance properties in the partly calibrated array. Additionally, an efficient blind calibration technique is proposed based on semidefinite relaxation to estimate the intersubarray phase-offsets accurately. |
| Freie Schlagworte: | Phased arrays, Direction-of-arrival estimation, Array signal processing, Conferences, Noise, Estimation, Frequency estimation, DoA estimation, sparse arrays, thinned arrays, joint sparsity, partly calibrated arrays, shift-invariance, blind array calibration |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Nachrichtentechnische Systeme |
| Hinterlegungsdatum: | 30 Aug 2024 07:37 |
| Letzte Änderung: | 10 Dez 2024 13:38 |
| PPN: | 524503109 |
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