Recursive updating the eigenvalue decomposition of a covariance matrix Cum sex live chat

A direction of arrival is determined from which at least one jammer is transmitting a signal included in the sampled aperture data, based on the eigenvalue decomposition.

BACKGROUND OF THE INVENTION [0002] Conventional surveillance radar systems cannot resolve more than one target within a range-angle resolution cell while performing surveillance.The sampled aperture data include data that do not correspond to echo returns from a beam transmitted by the antenna.A covariance matrix is generating using the sampled aperture data. In a radar system, sampled aperture data are received from an antenna array.The apparatus of claim 12, wherein the number estimating means estimates the number of targets based on the number of significant eigenvalues determined by the eigenvalue decomposition updating means.(c) transmitting a plurality of pulses in a direction of the single range cell within a sufficiently short period that the at least one target remains within the single range cell while the plurality of pulses are transmitted;22.Apparatus for estimating a number of targets within a main beam of a radar system having an antenna that provides antenna array signals, comprising: means for generating a covariance matrix using the antenna array signals; means for detecting the presence of at least one target within a single range cell; means for causing the antenna to transmit a plurality of pulses in a direction of the single range cell within a sufficiently short period that the at least one target remains within the single range cell while the plurality of pulses are transmitted; means for sampling an echo signal from ones of the plurality of pulses; means for estimating an updated covariance matrix based on the echo signals corresponding to one of the pulses sampled; means for updating an eigenvalue decomposition based on the covariance matrix updates; and means for estimating the number of targets in the single range cell based on the eigenvalue decomposition.

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