NDLI: Adaptive hough detector threshold analysis in presence of randomly arriving impulse interference

Content Provider	IEEE Xplore Digital Library
Author	Doukovska, L.A.
Copyright Year	2010
Description	Author affiliation: Institute of Information Technologies, Bulgarian Academy of Sciences “Acad. G. Bonchev” Str., bl. 2, 1113 Sofia, Bulgaria (Doukovska, L.A.)
Abstract	In this paper a technique of Hough detector threshold procedure for moving target detection in conditions of randomly arriving impulse interference with Poisson distributed flow and Raleigh amplitude distribution is proposed. The expressions of detection and false alarm probability are derived for a highly fluctuating Swerling II target. A comparative analysis of the performance of a Hough detector with fixed threshold and other five Hough detection structures keeping constant false alarm rates is done. These are CA CFAR (Cell Averaging Constant False Alarm Rate), EXC CFAR (Excision Constant False Alarm Rate), CFAR BI (Constant False Alarm Rate with Binary Integration), EXC CFAR BI (Excision Constant False Alarm Rate with Binary Integration) and API CFAR (Adaptive censoring Post detection Integration Constant False Alarm Rate). A method for losses estimation, which allows choosing of optimal detector parameters, is developed. Obtained are estimates of the effectiveness of Hough detector in presence of randomly arriving impulse interference and they are compared to patterns researched from other authors. The achieved results can be successfully applied for radar target detection and in the existing communication network receivers that use pulse signals.
Starting Page	1
Ending Page	5
File Size	239486
Page Count	5
File Format	PDF
ISBN	9781424456130
ISSN	21555753
e-ISBN	9781424456147
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-16
Publisher Place	Lithuania
Access Restriction	Subscribed
Rights Holder	Geozondas Co.
Subject Keyword	Randomly Arriving Impulse Interference (RAII) Hough detector Noise Radar detection Detectors Interference Object detection Bismuth Probability CFAR detection
Content Type	Text
Resource Type	Article

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