Radar Processing

SSSC is a leader in innovative radar processing techniques.  Breakthroughs in radar data processing allow users to see more from existing radar data and do more with future radar systems.  Our inventive approach make contributions to a variety of common radar challenges, such as tracking moving targets, improving radar imagery, and finding buried objects.

GMTI Processing

SSSC has developed Ground Moving Target Indicator (GMTI) processing for use on small SWaP platforms. The processing consists of a unique Hybrid technique which yields:
  • Robust detection of dismounts
  • Detection of slow moving targets
  • Computationally Efficient Processing
  • Improved False Alarm Rate (FAR) performance in challenging urban and mountainous clutter environments
In the example below, moving target signatures are detected and placed on a Synthetic Aperture Radar (SAR) image (center), while the Aerial photo is shown on the left image. The right image is zoomed in and shows vehicles placed on the Roads in the SAR image. This processing is ideal for SWaP limited airborne platforms and is adaptable to currently fielded systems.

SAR Image Processing

Synthetic Aperture Radar (SAR) and GMTI are performed simultaneously from the same pulses of data. GMTI detections and tracks are overlaid directly onto SAR images, thereby adding context for enhanced situational awareness. The high frame rate and the absence of coverage gaps from switching between RADAR modes will facilitate maintaining track on non-cooperative, maneuvering, and move-stop-move targets such as enemy dismounts or vehicles in traffic. The Video SAR image obtained with this processing is illustrated where the yellow dots are GMTI detections overlaid on the SAR image of a winding mountain road.
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3-D Visualization

Three-dimensional SAR imaging offers improved detection of buried targets over 2D surface imaging techniques for several reasons:
  • Detections can be separated and segmented according to depth
  • Strong surface clutter is isolated to the top layer of the 3D image and is less likely to obscure buried target signatures
  • Buried target signatures will be well focused using the custom 3D image formation software
Computed results from simulated data illustrate that the interfering surface clutter makes it extremely difficult to observe buried target signatures in the standard 2D SAR image, whereas the targets are easy to detect, segregate and interpret in the individual depth-slices of the 3D SAR image.

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