A deconvolution algorithm for broadband synthetic aperture data processing

Conventional processing of synthetic aperture sonar (SAS) data is equivalent to a two-dimensional matched filter operation. In principle, two-dimensional deconvolution improves the resolution of the processed image. However, its direct implementation is generally impractical, due to numerical problems. The paper discusses the development of iterative algorithms that efficiently perform the deconvolution of broadband synthetic aperture data and gives examples of their application. It is concluded that, in many cases, the proposed approach is preferable to more classical solutions