TH`ESE DE DOCTORAT DE L'UNIVERSITà PARIS 6 Spécialité ...
TH`ESE DE DOCTORAT DE L'UNIVERSITà PARIS 6 Spécialité ...
TH`ESE DE DOCTORAT DE L'UNIVERSITà PARIS 6 Spécialité ...
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Abstract<br />
This thesis is devoted to the analysis of algorithms of spatial or space-time filtering in two different<br />
application contexts. In a first part of the document, we consider array processing algorithms with wideband<br />
signals. Then, in a second part of the document, we consider processing of narrowband signals in<br />
the context of ground-based rotating radar system.<br />
In the first part of the document, our study has dealt with the main following points :<br />
– in the framework of robustness study of adaptive narrowband beamforming with respect to bandwidth,<br />
the computation in exact statistics of explicit expressions of the loss of performance in terms<br />
of SINR when filtering non strictly narrowband signals and the relation between this SINR loss and<br />
the criterium, currently used in literature to characterize a narrowband environment.<br />
– the proof of an extension of Szegö’s theorem to the generalized eigenvalues of Hermitian block Toeplitz<br />
matrices and multilevel Toeplitz block Toeplitz matrices generated by sequences of absolutely<br />
summable elements and its application to the performance analysis, asymptotic in the number of<br />
taps, in exact statistics, of maximum SINR space-time beamforming.<br />
In the second part of the document, our study has dealt with the main following points :<br />
– the design of non stationary spatial filtering algorithms, based on the computation of time-varying<br />
filters, for rejection of jamming signals, in the context of a ground-based rotating radar systems,<br />
and their performance analysis theoretically and by simulations.<br />
– the design of space-time filtering algorithms, for joint jamming and clutter rejection, in the context<br />
of a ground-based rotating radar systems, and their performance analysis theoretically and/or by<br />
simulations.