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Development of a statistical procedure for detecting the number of signals in a radar measurement
 

Summary: Development of a statistical procedure for detecting
the number of signals in a radar measurement
P.Chen, M.C.Wicks and R.S.Adve
Abstract: Ranking and selection theory is applied to the eigenvalue problem. Of concern is the
development of a procedure for computing the number of signals in a measurement data vector. In
the authors' approach, the multiplicity of the noise eigenvalue is computed, and used in
calculating the number of non-noise (signal) eigenvalues.
1 Introduction
In the analysis of measured data, an approach that is often
used involves modelling observations as the superposition
of a finite number of signals embedded in additive Gaus-
sian noise. This is especially true in phased array signal
processing, time-harmonic analysis, computing the natural
response of a system by estimating the number of poles
from measurement data, and in detccting overlapping
target echocs from radar backscatter. Practical space-time
adaptivc processing for airborne radar requires effcctive
utilisation of available degrees of frcedom. The question
therefore ariscs how many degrees of frccdom are required
in a given interference scenario. A fundamental issue in

  

Source: Adve, Raviraj - Department of Electrical and Computer Engineering, University of Toronto

 

Collections: Engineering