A realistic radar data simulator for the Super Dual Auroral Radar Network
Article first published online: 19 JUN 2013
©2013. American Geophysical Union. All Rights Reserved.
Volume 48, Issue 3, pages 283–288, May-June 2013
How to Cite
2013), A realistic radar data simulator for the Super Dual Auroral Radar Network, Radio Sci., 48, 283-288, doi:10.1002/rds.20032., , , , , , and (
- Issue published online: 16 JUL 2013
- Article first published online: 19 JUN 2013
- Accepted manuscript online: 11 APR 2013 11:01AM EST
- Manuscript Accepted: 8 APR 2013
- Manuscript Revised: 2 APR 2013
- Manuscript Received: 18 DEC 2012
- National Science Foundation. Grant Numbers: AGS-0849031, AGS-0946900
 The Super Dual Auroral Radar Network (SuperDARN) is a chain of HF radars for monitoring plasma flows in the high and middle latitude E and F regions of the ionosphere. The targets of SuperDARN radars are plasma irregularities which can flow up to several kilometers per second and can be detected out to ranges of several thousand kilometers. We have developed a simulator which is able to model SuperDARN data realistically. The simulation system comprises four separate parts: model scatterers, model collective properties, a model radar, and post-processing. Importantly, the simulator is designed using the collective scatter approach which accurately captures the expected statistical fluctuations of the radar echoes. The output of the program can represent either receiver voltages or autocorrelation functions (ACFs) in standard SuperDARN file formats. The simulator is useful for testing and implementation of SuperDARN data processing software and for investigation of how radar data and performance change when the nature of the irregularities or radar operation varies. The companion paper demonstrates the application of simulated data to evaluate the performance of different ACF fitting algorithms. The data simulator is applicable to other ionospheric radar systems.