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Signal Decomposition of Micro-Doppler Signatures

Authors: L. Stankovic; M. Dakovic; T. Thayaparan; V. Popovic-Bugarin;

Signal Decomposition of Micro-Doppler Signatures

Abstract

The micro-Doppler effects detection, estimation, and removal are analyzed in this chapter. Since the most common form of the micro-Doppler signal is a sinusoidal modulated one, a simple technique for its analysis, based on the inverse Radon transform is presented. A method for period estimation is presented as well. The presented method is important for the micro-Doppler analysis itself, as well as for the technique based on the inverse Radon transform. In addition, it is shown that a general micro-Doppler form can be separated from the rigid body, by using TF analysis and the L-statistics. Finally, the micro-Doppler effect in high noise environments is analyzed by using the Viterbi algorithm.

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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!
4
Average
Average
Top 10%
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