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Doppler Frequency Geolocation of Uncooperative Radars

Authors: B.H. Lee; Y.T. Chan; F. Chan; Huai-Jing Du; Fred A. Dilkes;

Doppler Frequency Geolocation of Uncooperative Radars

Abstract

Passive geolocation of uncooperative radar emitters remains an important problem in radar electronic warfare. Several location estimation techniques have been investigated in the past. In this paper, we present a passive geolocation technique for radar emitters using Doppler frequency measurements. For uncooperative sources, neither the emitter location, nor its transmitted frequency is known a priori. The relationship between these unknowns and the measured Doppler frequencies is non-linear. In the special case where the moving receiver measures frequencies along a straight path at constant speed, the relationship becomes linear in the Cartesian location coordinates. A simple 1-D discrete search for the transmitted frequency is followed by a least squares (LS) estimator to provide a coarse estimate of the emitter coordinates. This is followed by Newton's algorithm to provide a maximum likelihood (ML) estimation. The simulation results demonstrate that the resulting ML estimator approximately meets the Cramer-Rao lower bound (CRLB).

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
18
Top 10%
Top 10%
Average
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