Norm minimized Scattering Data from Intensity Spectra

We apply the $l_1$ minimizing technique of compressive sensing (CS) to non-linear quadratic observations. For the example of coherent X-ray scattering we provide the formulae for a Kalman filter approach to quadratic CS and show how to reconstruct the scattering data from their spatial intensity distribution.Comment: 26 pages, 10 figures, reordered section

The Frequency Scaling Algortihm for Spotlight Processing

This paper presents a new processing algorithm for spotlight SAR data processing. After introducing the spotlight imaging mode, a very useful formulation for dechirped SAR signals in the range Doppler domain is proposed. A strategy for processing stripmap data in the spotlight mode is introduced

Spotlight Processing of E-SAR Stripmap Data

This paper presents the Frequency Scaling algorithm for spotlight. The algorithm is able to process raw data with dechirp on receive and with low azimuth sampling during the processing. The range cell migration correction is performed without interpolation. The azimuth processing is performed by a combination of subaperture processing, SPECAN and Azimuth Scaling. Raw data from the E-SAR system of DLR have been processed to show the correctness of the algorithm

Spotlight Interferometry Using the Frequency Scaling Algorithm

The frequency scaling algorithm is described for the processing of spotlight SAR data. The phase preservance of the algorithm is demonstrated by the processing of simulated and real SAR raw data. Interferometric processing results which have been processed from E-SAR raw data are shown. Images and interferograms processed in stripmap mode and in spotlight mode are compared to each other. (The presentation was given but the paper is not included in the proceedings

High Precision Processing of Spotlight SAR Data Using the Extended Chirp Scaling Algorithm

This paper presents a new processing algorithm for spotlight SAR data processing. The Extended Chirp Scaling Algorithm (ECS) for spotlight SAR processing allows the processing of dechirped raw data. Dueto the use of a novel frequency scaling and SPECAN combined with azimuth scaling, the whole processing is performed without interpolations