Ultra Narrow Band Adaptive Tomographic Radar

MC Wicks,B Himed,LJE Bracken,H Bascom,J Clancy

IEEE CAMSAP 2005 First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing（2005）

USAF

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摘要

This paper demonstrates ultra narrowband (UNB) adaptive tomographic radar, and presents detection performance for dynamic and stationary specular targets. Previously, we reported on the utility of radar tomography in detecting cylindrical targets using UNB waveforms. This paper assesses the capability of UNB-tomographic radar to detect specular targets. It is shown that adaptivity is needed for the detection of closely spaced targets, especially those having low signal to noise ratios (SNR).

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关键词

diversity reception,military radar,radar signal processing,tomography,ultra wideband radar,electromagnetic spectrum,geometric diversity,image resolution,military radar applications,monostatic radar,radio frequency detection,signal processing,spatial diversity,ultra narrow band adaptive tomographic radar