Abstract
A model-based adaptive synthetic aperture radar (SAR) image formation algorithm is proposed in this study. A parametric model is used to formulate the received SAR signal, each scatterer can be characterised by a set of its parameters. In the model, the instantaneous slant range is approximated by a polynomial. The parameters of each scatterer are estimated by maximising the cost function, named matching degree indicator. The root-mean-square errors of parameter estimation are close to the Cramer–Rao bounds. The image is formed by mapping the estimated parameters onto the grid formed by iso-range and iso-Doppler lines. The algorithm does not require explicit knowledge of the data collection geometry. Experimental results are given to validate the algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
