Direct intercomparisons between spaceand ground-based radar measurements can be a challenging task. Differences in viewing aspects between space and earth observations, propagation paths, frequencies, resolution volume size, and time synchronization mismatch between spaceand ground-based observations can contribute to direct point-by-point intercomparison errors. This problem is further complic...

The existence of non-radar radio frequency (RF) signals in the environment possessing radar-like characteristics make them ideal candidates for use in radar applications such as synthetic aperture radar (SAR). The orthogonal frequency division multiplexing (OFDM) specific Worldwide Interoperability for Microwave Access (WiMAX) waveform is one such example. Research at the Air Force Institute of...

This thesis is concerned with methods to facilitate automatic target recognition using images generated from a group of associated radar systems. Target recognition algorithms require access to a database of previously recorded or synthesized radar images for the targets of interest, or a database of features based on those images. However, the resolution of a new image acquired under non-ideal...

Aim at overcoming limitations from a single fixed aspect in monostatic inverse synthetic aperture radar (ISAR) system, bistatic radar system becomes a hot research topic in ISAR imaging. However, it is become more difficult to obtain a high resolution ISAR image of maneuvering target in receiver centered region area of bistatic radar for time varying bistastic angle and equivalent line of sight...

The Air Force Office of Scientific Research supported the research on MIMO radar carried out at the New Jersey Institute of Technology during the period from December 2005 to November 2008 under the agreement number FA9550-06-1-0026. The purpose of this report is to summarize the proceedings and findings of the studies supported by this agreement. Starting with a short introduction, this report...

In the high-resolution radar imaging system, step-frequency radar signal is very important in getting the high-resolution range-profile, which can be used for target’s detection and recognition. However, target radial velocity will produce many problems, therefore, movingtargets imaging is a bottleneck for step-frequency radar signal. In this paper, an effective motion compensation methods is p...

The convex optimization-based descriptive experiment design regularization (DEDR) method is aggregated with the neural network (NN)-adapted variational analysis (VA) approach for adaptive high-resolution sensing into a unified DEDR -VA-NN framework that puts in a single optimization frame high-resolution radar/SAR image formation in uncertain operational scenarios, adaptive despeckling and dyna...

We have recently introduced a modification of the multiple signal classification method for synthetic aperture radar. This incorporates user-defined parameter, ϵ, that allows tunable quantitative high-resolution imaging. However, this requires relatively large single-to-noise ratios (SNR) to work effectively. Here, we first identify fundamental mechanism in produces images. Then introduce Kirch...

This paper presents a comparison study on the application of two electromagnetic inverse scattering algorithms, SEABED [1] and the synthetic aperture method, to experimental multi-static UWB (Ultra Wide-Band) radar data. A linear UWB antenna array with a wideband frequency (1.5-8 GHz) was used for the multi-static radar measurement in a realistic environment. The results clearly show the advant...

This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process. In order to obtain focused inverse synthetic aperture radar (ISAR) images certain signal processing algorithms must be applied to the information sensed by the radar. From actual data collected by radar the stages and algorithm...