
Proceedings Paper
Super-resolution technologies for all-weather sense and avoidance (SAA) radarFormat | Member Price | Non-Member Price |
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Paper Abstract
The sense and avoidance (SAA) and due-regard radar systems have strict requirements on size, weight and power (SWaP)
and target localization accuracies. Also, the multi-mission capabilities with both weather and hard targets are critical to
the survivability of unmanned aerial vehicles (UAV) in the next generation national airspace. The aperture limitations of
the aircraft sensor installation, however, have prevented large antennas/arrays to be used. The tradeoffs among
frequencies, resolutions and detection range/accuracies have not been fully addressed. Innovative concepts of
overcoming the aperture limitation by using a special type of super-resolution technology are introduced. The first
technique is based on a combination of thinned antenna array, an extension to the traditional Multiple Signal
Classification (MUSIC) technique, and applying a two-dimensional sidelobe mitigation technique. To overcome the
degradation of MUSIC-type of approach due to coherent radar signals, a special waveform optimization procedure is
used. The techniques for mitigating artifacts due to "thinned" array are also introduced. Simulated results of super-resolution
techniques are discussed and evaluated, and the capability of separating multiple targets within aperture-constrained
beamwidth is demonstrated. Moreover, the potential capabilities of autonomous weather hazard avoidance
are also analyzed.
Paper Details
Date Published: 21 June 2011
PDF: 10 pages
Proc. SPIE 8021, Radar Sensor Technology XV, 80210S (21 June 2011); doi: 10.1117/12.883706
Published in SPIE Proceedings Vol. 8021:
Radar Sensor Technology XV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)
PDF: 10 pages
Proc. SPIE 8021, Radar Sensor Technology XV, 80210S (21 June 2011); doi: 10.1117/12.883706
Show Author Affiliations
Yan Rockee Zhang, The Univ. of Oklahoma (United States)
Zhengzheng Li, The Univ. of Oklahoma (United States)
Shang Wang, The Univ. of Oklahoma (United States)
Zhengzheng Li, The Univ. of Oklahoma (United States)
Shang Wang, The Univ. of Oklahoma (United States)
Yu Pan, The Univ. of Oklahoma (United States)
Hernan Suarez, The Univ. of Oklahoma (United States)
Hernan Suarez, The Univ. of Oklahoma (United States)
Published in SPIE Proceedings Vol. 8021:
Radar Sensor Technology XV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)
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