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k-stage radar CFAR detection

Authors: Y.G. Sosulin; K.Yu. Gavrilov;

k-stage radar CFAR detection

Abstract

A parametric procedure for k-stage radar detection realizing CFAR mode in conditions of clutter with unknown power is offered. This procedure uses an estimate of clutter intensity /spl sigma/ in a "sliding window" of size m for adaptation of (2k-1) thresholds taking into account (2k-1) scale factors. The important practical case of detection of a coherent pulse train with random initial phase on the background of non-correlated Gaussian clutter with unknown variance /spl sigma//sup 2/ is investigated in detail. It is shown that another realization of CFAR mode is possible in this case, namely the following. The estimate of clutter intensity normalizes the decision statistic, thus an adaptation of k-stage detector thresholds is not necessary and it becomes possible to compute the thresholds beforehand by the previously known method; and also there is no need to introduce scale factors which considerably simplifies threshold computation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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