Capon- and APES-based SAR processing: performance and practical considerations
This paper discusses the use of Capon’s minimumvariance method (MVM) and Amplitude and Phase EStimation (APES) spectral-estimation algorithms to synthetic aperture radar range–azimuth focusing. The rationale of the algorithms is discussed. An implementation of a Capon or APES processing chain is exp...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 2010 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/8327 |
| Acesso em linha: | https://hdl.handle.net/2117/8327 https://dx.doi.org/10.1109/TGRS.2009.2038902 |
| Access Level: | acceso abierto |
| Palavra-chave: | Synthetic aperture radar Signal theory (Telecommunication) SAR (Synthetic Aperture Radar) Enginyeria electrònica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Resumo: | This paper discusses the use of Capon’s minimumvariance method (MVM) and Amplitude and Phase EStimation (APES) spectral-estimation algorithms to synthetic aperture radar range–azimuth focusing. The rationale of the algorithms is discussed. An implementation of a Capon or APES processing chain is explained, and processing parameters such as chip-image size, resampling factor, and diagonal loading are discussed. For multichannel cases, a joint-processing approach is presented. A set of Monte Carlo simulations are described and used to benchmark Capon- and APES-based processing against conventional matched-filter-based approaches. Both methods improve the resolution and reduce sidelobes. APES yields generally better estimates of amplitude and phase than Capon but with worse resolution. Results with RADARSAT-2 quad-polarization data over Barcelona are used to qualitatively study the real-life performance of these algorithms. |
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