Capon- and APES-based SAR processing: Performance and practical considerations

Paco López-Dekker*, Jordi J. Mallorquí

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

32 Citations (Scopus)


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.

Original languageEnglish
Article number5411775
Pages (from-to)2388-2402
Number of pages15
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number5
Publication statusPublished - May 2010
Externally publishedYes


  • 2-D spectral analysis
  • Adaptive processing
  • Synthetic aperture radar


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