Paper accepted in IEEE CL (mar. 2015)

Our manuscript:

P. Salvo Rossi, D. Ciuonzo and T. Ekman, HMM-Based Decision Fusion in Wireless Sensor Networks with Noncoherent Multiple Access

has been accepted for publication in IEEE Communications Letters. The present manuscript provides a novel approach for decision fusion over multiple-access channel, when the binary source is generally modelled as a Markov Chain.

Paper accepted in IEEE SPL (jan 2015)

Our manuscript:

D. Ciuonzo, A. De Maio and P. Salvo Rossi, “A Systematic Framework for Composite Hypothesis Testing of Independent Bernoulli Trials”

has been accepted for publication in IEEE Signal Processing Letters. The present manuscript provides a systematic taxonomy of viable detectors for composite hypothesis testing scenario which are relevant for both radar detection and decision fusion in wireless sensor networks.

Paper accepted in IEEE CL (Dec. 2014)

Our journal paper

P. Salvo Rossi, D. Ciuonzo, K. Kansanen and T. Ekman “On Energy Detection for MIMO Decision Fusion in Wireless Sensor Networks over NLOS Fading

has been accepted for publication in IEEE Communication Letters.

The paper develops a thorough study on optimality properties of energy detection in MIMO Decision Fusion when NLOS vector fading is modelled as mixtures of Gaussians.

Paper accepted in IEEE TSP (Nov. 2014)

Our journal paper

D. Ciuonzo, P. Salvo Rossi and S. Dey, “Massive MIMO Channel-Aware Decision Fusion”,

has been accepted for publication in IEEE Transactions on Signal Processing.

The paper develops a thorough study on design and performance analysis of sub-optimal fusion rules when the fusion center is equipped with a large-array (namely a “massive” virtual MIMO setup).

Paper accepted in IEEE Sensors Journal (Oct. 2014)

Our journal paper

P. Salvo Rossi, D. Ciuonzo, T. Ekman and H. Dong, “Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks”, IEEE Sensors Journal.

has been accepted for publication in IEEE Sensors Journal.

The paper proposes and studies energy detection test as a sub-optimal (but feasible) fusion rule for MIMO decision fusion in underwater wireless sensor networks.

Paper published in IEEE SPL 2014 (Feb. Issue)

Our journal paper

Mimetypes-pdf-icony   [J-11] || D. Ciuonzo and P. Salvo Rossi, “Decision Fusion with Unknown Sensor Detection Probability“, IEEE Signal Processing Letters, vol. 21, no. 2, pp. 1070-9908, February 2014.

appears in the current issue (Feb. 2014) of IEEE Signal Processing Letters.

The paper provides a detailed study on fusion rules which exploit the sole knowledge of the sensor false-alarm probabilities. Existing rules in the literature are theoretically compared and a locally-optimum detection (LOD) based fusion rule is derived, showing performance close to the (clairvoyant) Likelihood-ratio test.

Supplementary material is also given on IEEExplore, containing proofs and derivations.