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MIMO Radar Clutter Modeling



OBJECTIVE:  Develop physics-based MIMO radar clutter modeling and simulation capability.

DESCRIPTION:  Fundamental to the performance evaluation of putative optimal and adaptive MIMO radar signal processing algorithms is a characterization of clutter in terms of its statistical and spectral properties. Radar clutter is the resultant of many scattering mechanisms and certainly MIMO radar clutter is no exception. Therefore this effort is geared towards the development of a physics based modeling and simulation capability for MIMO radar clutter viewed from co-located (single platform), distributed (multiple platforms such as swarms of UAVs), and hybrid configurations. Important issues in this context include the following items:

1. Employ physics (Maxwell's equations) to analyze the scattering mechanisms pertaining to MIMO radar clutter, while including the impact of multipath (produced, for example, by topographic undulations, ground vegetation and boulders or outcroppings, scattering by other members of a swarm of UAVs, and urban complexities), and radar waveform effects (including various selected modulation schemes, chirps of various kinds, and Doppler shifts from moving targets and sources), and then develop analytical models for clutter scenarios encountered in MIMO radar. The analytical models must account for the statistical and spectral properties of clutter in these scenarios in terms of fundamentals pertaining to electromagnetic and geometric factors inherent to the scattering surfaces.

2. Develop computer simulation schemes for generating MIMO radar clutter scenarios using the physics based models from (1). One key requirement of the models and their realization in computer simulation schemes is independent control of the first order probability density function (PDF) and the correlation properties. Another requirement of the computer simulation scheme is accurate (eliminating diffraction from artifactual edges) and 'water tight" CAD file representation of targets, topography, and buildings or other urban details. It is also imperative that the computer simulation scheme be provably accurate and rapid. The need for rapidity translates into ensuring that the code scales slowly with problem size.

3. Account for statistical and spectral properties of simulated and measured MIMO radar clutter data using the physics based models

4. In light of the statistical aspects of the physics it is necessary that performance validation of the simulation schemes using statistical and spectral analysis tools is pursued.

PHASE I:  Develop physics-based models for MIMO radar clutter observed from co-located, distributed, and hybrid MIMO sensing assets. The models need to address the 4 items discussed in the "Description" above.

PHASE II:  This phase will be devoted to an extensive and exhaustive development and validation of the simulation schemes from Phase I. Phase II will include relevant code and a final report, which provides comprehensive documentation of the techniques developed in the effort.


Military Application:  More effective target indentification within urban canyons and complex topography.

Commercial Application:  Law enforcement and RFID within cluttered environments.

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