Absmacr-The Next-Generation Precipitation Radar (PR-2) prototyped by NASNJPL will depend heavily on high-performance digital processing to collect meaningful rain echo data. Using fieldprogrammable gate arrays (FPGAs), we have developed for the PR-2 a pulse-compression processor and adaptive timing controller that will enable full on-board processing capabilities in a 14 and 36 GHz spacebome ra...

This paper studies the problem of Simultaneous Sparse Approximation (SSA). This problem arises in many applications which work with multiple signals maintaining some degree of dependency such as radar and sensor networks. In this paper, we introduce a new method towards joint recovery of several independent sparse signals with the same support. We provide an analytical discussion on the converg...

Synthetic aperture radar (SAR) remote sensing, with its advantages of all-weather coverage, all day/night acquisitions, cloud penetration, and signal independence of the solar illumination angle, can be applied to land cover classification and land consolidation, especially in some regions where optics and infrared remote sensing do not work well. A limitation of its using for land consolidatio...

Intensive research is currently ongoing in the field of Smart Multi-Aperture Radar Technique (SMART) for Synthetic Aperture Radar (SAR). This work investigates the performance of the SMART SAR system for highresolution wide-swath imaging based on Scan-onReceive (SCORE) algorithm for receive beam steering. SCORE algorithm works under model mismatch conditions in presence of topographic height. A...

An adaptive target detector in radar system is used to extract targets from background in noisy environment of unknown statistics. The constant false alarm rate (CFAR) is well known detection algorithm that is being used in almost every modern radar. The cell averaging CFAR is the optimum detector in homogeneous clutter environment when the refence cells have identically independent and exponen...

The exact knowledge of the signal steering vector is not always known, which may result in detection performance degradation when a mismatch occurs. In this paper, we discuss problem designing robust radar target detector background Gaussian noise whose covariance matrix unknown. To improve robustness to mismatched signals, random perturbation that follows complex normal distribution added unde...

This paper describes a real-time implementation of adaptive range oversampling processing on the National Weather Radar Testbed phased-array radar. It is demonstrated that, compared to conventional matched-filter processing, range oversampling can be used to reduce scan update times by a factor of 2 while producing meteorological data with similar quality. Adaptive range oversampling uses momen...