This research offers automatic generation of finely refocused target images, even for fast exoclutter targets that also can have complicated non-uniform target rotation profiles.  In addition, the proposed work effort offers automatic detection of moving targets via refocused images as input to Deep Learning (DL) Convolution Neural Network (CNN) algorithms.

Example using simulated radar data of a fast-moving target injected into measured Ku-band SAR image data with REFT and AROMA processing.

Contact: Dr. David Garren
Sponsor: Department of Defense

This work effort offers to develop a capability for reliable and efficient processing algorithms for generating refocused imagery corresponding to challenging target sets to facilitate target classification and identification.

Contact: Dr. David Garren
Sponsor: Department of Defense

The NPS Studies Program is a project sponsored by NAVAIR that allows our Navy and other DoD officers/students to perform theoretical and experimental research in electronic warfare (EW). There is a broad scope of topics being studied but the utilization of unmanned aerial systems (UAS such as drones) is one of the main focus in this study. Specifically, how can the use of low-cost lightweight UAS impact battlefield EW.

Another impact is the annual participation in the US-only UAS-EW event called DoD-sponsored Silent Swarm event. For the last two years, the NPS EW team had sent a contingent of faculty and students to participate in situational electronic attack and electronic support roles using various NPS EW gear to jam victim sensors and monitor the real-time spectrum activities real-time for simulated field experiments.

Contact: Dr. Ric Romero
Sponsor: NAVAIR

The novel noise waveform experiments is an EW project that concentrates on the design of novel noise waveforms that can be used for electronic attack (EA). Instead of traditional noise jamming techniques, the project has produced various advanced noise jamming techniques including transmit waveform shaped interference, knowledge-based jamming waveforms, and cognitive EA schemes.

Design of low-cost platforms using software-defined radios and radars have been implemented. Lab and field experiments have been performed to illustrate the effectiveness of these EA schemes in EW scenarios. Some of the platforms have been shared to other DoD organization for possible expansion and utilization. Multiple USN/USMC/USAF are involved in the project.

Contact: Dr. Ric Romero
Sponsor: Office of Naval Research (ONR)