Multi-Subaperture PGA for SAR Autofocusing

Autor: Rui Jiang, Daiyin Zhu, Zhaoda Zhu, Xinhua Mao
Rok vydání: 2013
Předmět:
Zdroj: IEEE Transactions on Aerospace and Electronic Systems. 49:468-488
ISSN: 0018-9251
DOI: 10.1109/taes.2013.6404115
Popis: For spotlight mode synthetic aperture radar (SAR) autofocusing, the traditional full-aperture phase gradient autofocus (PGA) algorithm might suffer from performance degradation in the presence of significant high-order phase error and residual range cell migration (RCM), which tend to occur when the coherent processing interval (CPI) is long. Meanwhile, PGA does not perform satisfactorily when applied directly on the stripmap data. To address these shortcomings, we present a multi-subaperture PGA algorithm, which takes advantage of the map drift (MD) technique. It smoothly incorporates the estimation of residual RCM and combines the subaperture phase error (SPE) estimated by PGA in a very precise manner. The methodology and accuracy of PGA-MD are investigated in detail. Experimental results indicate the effectiveness of PGA-MD in both the spotlight and the stripmap modes.
Databáze: OpenAIRE