Capon- and APES-based SAR processing

López-Dekker, Paco; Mallorqui, Jordi J.

Capon- and APES-based SAR processing

Performance and practical considerations

Journal article (2010)

Authors

Paco López-Dekker Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Jordi J. Mallorqui Universitat Politecnica de Catalunya

Research Group

Mathematical Geodesy and Positioning

Synthetic aperture radar 2-D spectral analysis Adaptive processing

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Published Date

2010-5

Language

English

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Research Group

Mathematical Geodesy and Positioning

Abstract

This paper discusses the use of Capon's minimum-variance method (MVM) and Amplitude and Phase EStimation (APES) spectral-estimation algorithms to synthetic aperture radar rangeazimuth 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.