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We address adaptive discrimination between the signal of interest and a coherent interferer. To this end, we propose detectors derived resorting to a GLRT implementation of a generalized Neyman-Pearson rule (i.e., for multiple hypotheses). The adaptive detectors rely on secondary data, free of signal components, but sharing the statistical characterization of the noise in the cell under test, in order...
In this paper we evaluate the impact of the presence of an interfering radar on the target direction of arrival (DOA) pseudo-monopulse and ML estimation performed by the reference radar. The importance of the use of codes in a radar network is highlighted in a simple scenario of two surveillance radars.
This paper deals with the problem of estimating the parameters, i.e., complex amplitudes, directions of arrival (DOAs), and Doppler frequencies, of multiple radar targets present in the same range-azimuth resolution cell of a surveillance radar, by joint processing the sum and delta channel data. The AML-RELAX (asymptotically maximum likelihood) estimator previously derived by the authors is extended...
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