Processing Algorithms for Bistatic Synthetic Aperture Radar Data

This book investigates bistatic Synthetic Aperture Radar (SAR) image formation and develops bistatic SAR algorithms to accommodate various bistatic geometries. The key step to many frequency based focusing algorithms is to find an analytical solution for the spectrum of a reference point target. No simple analytical solution exists for the bistatic case because of the Double Square Root in the bistatic range equation. Several algorithms have been developed to overcome this difficulty; they are reviewed and analyzed in this book to compare their processing accuracies. A solution to the spectrum based on the reversion of a power series is presented in this book. Its accuracy is compared with existing analytical point target spectra. Using this spectrum result, a bistatic Range Doppler Algorithm is developed to handle the azimuth-invariant, bistatic case. In addition, the algorithm is used to focus real bistatic data acquired with two X-band SAR systems. To handle azimuth-variant cases; the Non-Linear Chirp Scaling algorithm is derived which can accommodate squinted and long-wavelength bistatic cases where both platforms have dissimilar velocities and non-parallel flight paths.

Autorentext

Yew Lam Neo received the B.Eng degree from the National University of Singapore in 1994 and the PhD degree from the University of British Columbia, Canada in 2007. In 2006, he was a Visiting Scientist with ZESS, U. of Siegen, Germany. He has worked for DSO National Labs since 1994 and has won several awards - DTP, Kinetic, IP and PhD Scholarship.