A new distributed constant false alarm rate detector
نویسندگان
چکیده
منابع مشابه
A Constant False Alarm Rate Focus Detector Using 2-D Noncausal and Nonstationary WNDR Modeling
~ i = f 1 i k w i (1) (40 chf where the N is called neighborset of the representation whose shape determines the model causality. Previously, only causal and stationary WNDRs were fully used for the lack of an efficient parameter estimation technique to estimate the parameters fr. I of the general noncausal WNDR which represents the gray level at one point as a linear canbination of its neighbo...
متن کاملCompressive Cyclostationary Spectrum Sensing with a Constant False Alarm Rate
Correspondence: [email protected] 1 Institute for Theoretical Information Technology, RWTH Aachen University, Kopernikusstraße 16, 52074, Aachen, Germany Full list of author information is available at the end of the article Abstract Spectrum sensing is a crucial component of opportunistic spectrum access schemes, which aim at improving spectrum utilization by allowing for the reuse of i...
متن کاملSignature Adaptive Mine Detection at a Constant False Alarm Rate
A constant false alarm rate (CFAR) algorithm has been developed for use in multi-band mine detection. While it is often difficult to predict the spectral signatures of targets, the shape of the target may be known. This test exploits geometric target features and spectral differences between the target and the surrounding area. The algorithm is derived from a general statistical model of the da...
متن کاملCell Averaging Constant False Alarm Rate Detector with Hough Transform in Randomly Arriving Impulse Interference*
In this paper we compare the efficiency of a Cell Average Constant False Alarm Rate (CA CFAR) detector and a Hough detector with average randomly arriving impulse interference. We assume that the target echo signal fluctuates according to a Swerling II signal model; the randomly arriving impulse interference is with a Poisson distribution of the probability for appearance and a Rayleigh distrib...
متن کاملExpert System Application to Constant False Alarm Rate (cfar) Processor
An artificial intelligence system improves radar signal processor performance by increasing target probability of detection and reducing probability of false alarm in a severe radar clutter environment. This utilizes advances in artificial intelligence and expert systems technology for the development of data analysis and information (signal) processors used in conjunction with conventional (de...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Aerospace and Electronic Systems
سال: 1997
ISSN: 0018-9251
DOI: 10.1109/7.570711