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Synthetic Aperture Radar (SAR). Ground Region. We took a small sample of a SAR image to use as test data. Flight Simulation. Realistic Parameters Beam angle Beam squint Platform velocity Platform altitude Pulse duration Ground pixel resolution Sampling frequency Number of samples
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Ground Region We took a small sample of a SAR image to use as test data
Flight Simulation • Realistic Parameters • Beam angle • Beam squint • Platform velocity • Platform altitude • Pulse duration • Ground pixel resolution • Sampling frequency • Number of samples • Carrier frequency • Transmit/Receive switching delay
Beam Shape • One of the sub-functions we wrote calculates the beam pattern for any horizontal and vertical beam angle
ROI Closure • All of the ground points that affect the data points which give information about the ROI
ROI Closure • Union of intersections of the beam pattern and a radius for which ground pixel reflections are being sampled
Data from ground pixel Each ground pixel affects a certain set of data points Figure 3 shows nulls in the data sets that are due to nulls in the beam pattern
Closure for a data point Each data point represents a sample taken at a certain time, so each data point collects reflectivity data from ground pixels in an area that is roughly the shape of the beam pattern Data Point Corresponding Ground Pixels
FHF • The data gathered is a linear combination of different ground reflectivities • F is a matrix that explains the mixing going on in the data • Each column holds data for a ground pixel • Each row is a different data sample mixed with information about the ground pixel it relates to • d=Fg+n • FHd=FHFg
SAR Possibilities • Optimum ML change detection: • d1 = F1 g + n1 d2 = F2 (g + δ) + n2 • Can obtain both g and the change δ in closed form. • GMTI: Incorporate moving targets into signal model. Can estimate target position, direction, and velocity vector. • Motion compensation: • Allow for errors in both data d and regressors F using weighted total least-squares techniques. • Estimate SAR trajectory using known strong targets of opportunity.
SAR Possibilities • Ground elevation estimation. • Extend to bistatic SAR. • Extend to continuous wave signaling (will improve rank of F ).
Future Work • Imposing Block Structure • If the structure of FHF could be made to be Toeplitz, or have a block diagonal structure with small diagonal blocks, then inversion of FHF would be easy. • Signal Design • Design the signal waveform to make FHF have a structure that is easily invertible. This may require transmitting a different pulse signal at each azimuth position. It may also require using pulse coded waveforms instead of chirps. • Antenna design • Suppose an antenna array is used. Then the array weights could be designed and made to vary with time in a fashion that imposes structure on FHF that makes it easy to invert.