We consider the problem of estimating a parametric model that describes radar backscattering from synthetic aperture radar imagery. We adopt a scattering center model that incorporates both frequency and aspect dependence of scattering. We develop an approximate maximum likelihood algorithm for parameter estimation directly on regions of the SAR image. The algorithm autonomously selects model order and structure. Results are presented for both synthetic and measured SAR imagery, and algorithm accuracy is compared with the Cram&-Rao bound.

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We present an algorithm and real time implementation for rapid code phase synchronization to direct sequence spread spectrum signals.The synchronization algorithm utilizes a complex matched filter to achieve code synchronization without sequential search over code phases, significantly reducing synchronization time. The algorithm is implemented on a Xilinx Spartan FPGA and is highly tailored to exploit the integrated signal processing resources on that device. Real time performance was demonstrated using less than one fourth of the device resources. Synchronization can be achieved with a latency of one code cycle and zero synchronization overhead in the signal.