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20122026
most citedRician MIMO Channel- and Jamming-Aware Decision Fusion

215 citations · 1.1k across the 21 of their papers we have counts for

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Showing 2013Show all

7 papers · 1 filter

cs.IT2013★ 62 cited

Decision Fusion with Unknown Sensor Detection Probability

Domenico Ciuonzo, Pierluigi Salvo Rossi

In this correspondence we study the problem of channel-aware decision fusion when the sensor detection probability is not known at the decision fusion center. Several alternatives…

cs.IT2013

Minimum-Variance Importance-Sampling Bernoulli Estimator for Fast Simulation of Linear Block Codes over Binary Symmetric Channels

Gianmarco Romano, Domenico Ciuonzo

In this paper the choice of the Bernoulli distribution as biased distribution for importance sampling (IS) Monte-Carlo (MC) simulation of linear block codes over binary symmetric c…

cs.IT2013★ 1 cited

Orthogonality and Cooperation in Collaborative Spectrum Sensing through MIMO Decision Fusion

Pierluigi Salvo Rossi, Domenico Ciuonzo, Gianmarco Romano

This paper deals with spectrum sensing for cognitive radio scenarios where the decision fusion center (DFC) exploits array processing. More specifically, we explore the impact of u…

cs.IT2013★ 79 cited

One-bit Decentralized Detection with a Rao Test for Multisensor Fusion

D. Ciuonzo, G. Papa, G. Romano +2

In this letter we propose the Rao test as a simpler alternative to the generalized likelihood ratio test (GLRT) for multisensor fusion. We consider sensors observing an unknown det…

cs.IT2013★ 47 cited

Performance Analysis and Design of Maximum Ratio Combining in Channel-Aware MIMO Decision Fusion

D. Ciuonzo, G. Romano, P. Salvo Rossi

In this paper we present a theoretical performance analysis of the maximum ratio combining (MRC) rule for channel-aware decision fusion over multiple-input multiple-output (MIMO) c…

cs.IT2013

Tracking the Tracker from its Passive Sonar ML-PDA Estimates

D. Ciuonzo, P. K. Willett, Y. Bar-Shalom

Target motion analysis with wideband passive sonar has received much attention. Maximum likelihood probabilistic data-association (ML-PDA) represents an asymptotically efficient es…