Paper
21 June 2011 Super-resolution technologies for all-weather sense and avoidance (SAA) radar
Yan Rockee Zhang, Zhengzheng Li, Shang Wang, Yu Pan, Hernan Suarez
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Rockee Zhang, Zhengzheng Li, Shang Wang, Yu Pan, and Hernan Suarez "Super-resolution technologies for all-weather sense and avoidance (SAA) radar", Proc. SPIE 8021, Radar Sensor Technology XV, 80210S (21 June 2011); https://doi.org/10.1117/12.883706
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KEYWORDS
Antennas

Radar

Super resolution

Signal to noise ratio

Detection and tracking algorithms

Signal processing

Smoothing

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