Expected likelihood for compressive sensing-based DOA estimation
Expected likelihood for compressive sensing-based DOA estimation
- Author(s): I. Bilik ; T. Northardt ; Y. Abramovich
- DOI: 10.1049/cp.2012.1710
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- Author(s): I. Bilik ; T. Northardt ; Y. Abramovich Source: IET International Conference on Radar Systems (Radar 2012), 2012 page ()
- Conference: IET International Conference on Radar Systems (Radar 2012)
- DOI: 10.1049/cp.2012.1710
- ISBN: 978-1-84919-676-5
- Location: Glasgow, UK
- Conference date: 22-25 Oct. 2012
- Format: PDF
This work addresses the problem of spatial compressive sensing (SCS) DOA estimation performance evaluation by exploiting an estimation-theoretic method known as expected likelihood (EL). This work provides a novel application of the EL method to mitigate two bias sources present in the SCS DOA estimation approach due to discretization of the azimuth bearing space and L1-regularization. (4 pages)
Inspec keywords: direction-of-arrival estimation; compressed sensing; estimation theory
Subjects: Signal processing and detection; Digital signal processing; Signal processing theory; Other topics in statistics; Other topics in statistics
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