Francesco Bandiera

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise. Abstract—We address the problem of adaptive detection of a signal of interest embedded in colored noise modeled in terms(More)
—This paper addresses blind multiuser detection in a direct sequence code-division multiple-access (DS-CDMA) network in presence of both multiple-access interference and intersymbol interference. In particular, it considers a DS-CDMA system where out of users are transmitting; the admissible spreading codes are known, and so is the code of the user to be(More)
—In this paper we present a GLRT-based adaptive detection algorithm for extended targets with improved rejection capabilities of mismatched signals. We assume that a set of secondary data is available and that noise returns in primary and secondary data share the same statistical characterization. To increase the se-lectivity of the detector, similarly to(More)
—In this paper, we derive and assess decision schemes to discriminate, resorting to an array of sensors, between the 0 hypothesis that data under test contain disturbance only (i.e., noise plus interference) and the 1 hypothesis that they also contain signal components along a direction which is a priori unknown but constrained to belong to a given subspace(More)