DocumentCode :
3462077
Title :
Spatial-Temporal Differential Analysis for GMTD with Airborne Radars, Part 2: First Experimental Results
Author :
Praskovskaya, Eleanor ; Praskovsky, Alexander ; Himed, Braham
Author_Institution :
EnerLab, Fort Lauderdale, FL
fYear :
2006
fDate :
24-26 May 2006
Firstpage :
1
Lastpage :
6
Abstract :
We consider an application of the spatial-temporal differential analysis (STDA) technique to the ground-moving target detection (GMTD) using airborne radars with multiple receive channels. STDA is a new approach, suitable to processing multiple radar signals which utilizes spatial and temporal scintillations in the instantaneous signal power. To test the practical potential of STDA, we used multi-channel airborne radar measurements (MCARM) database, which was developed to test and improve space-time adaptive processing (STAP). In particular, we processed the MCARM file rd050575, obtained from flight 5, cycle d, and acquisition 575. The goal was to detect the Sabreliner airplane flying towards the radar-carrying airplane BAC 1-11 in the presence of urban, land, and sea clutter. Second-order structure functions for multiple radar signals were used for the processing. This simplified STDA technique applied in the time domain only provides a good performance by detecting the Sabreliner with a false alarm rate below 10´ in the same range bin where it was previously detected using several STAP variants.
Keywords :
airborne radar; radar signal processing; space-time adaptive processing; GMTD; STAP; STDA; airborne radars; ground-moving target detection; multichannel airborne radar measurements; multiple receive channels; radar signal processing; space-time adaptive processing; spatial-temporal differential analysis; Airborne radar; Airplanes; Clutter; Object detection; Radar detection; Radar signal processing; Sea measurements; Signal processing; Spatial databases; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium, 2006. IRS 2006. International
Conference_Location :
Krakow
Print_ISBN :
978-83-7207-621-2
Type :
conf
DOI :
10.1109/IRS.2006.4338013
Filename :
4338013
Link To Document :
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