Compressive Sensing for Radar and Radar Sensor Networks
Final rept. 15 Nov 2010-30 Sep 2013
TEXAS UNIV AT ARLINGTON OFFICE OF SPONSORED PROJECTS
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In this project, compressive sensing for radar and radar sensor networks were studied. Significant results have been achieved in the following aspects Compressive Sensing in Radar Sensor Networks Using Pulse Compression Waveforms Theoretical Performance Bounds for Compressive Sensing with Random Noise Compressive Sensing in Radar Sensor Networks for Target RCS Value Estimation Rate Distortion Performance Analysis of Compressive Sensing etc. Three PhD students were directly supported by this project, and have graduated. Major recognitions and awards associated with the sponsored research were conferred to the PI. 21 journal papers and 30 conferences papers were published or presented, and a complete list is attached in this report.
- Active and Passive Radar Detection and Equipment