Vassilios C. Moussas

  • Citations Per Year
Learn More
This paper presents an adaptive approach to the problem of estimating the direction of arrival angles of narrowband signals emitted from multiple sources. We reformulate the problem in state-space, and employ a multi-model partitioning algorithm, combined with extended Kalman filters, for combined identification of the number of sources and estimation of(More)
In this paper an adaptive technique is presented for processing the output of a sensor array, which simultaneously estimates the number of sources and their directions of arrival. The method is based on the reformulation of the problem in the time domain, and the use of the adaptive Multi-Model Partitioning Algorithm (MMPA). The adaptive algorithm(More)
Today’s network designers are expected to plan for future expansion and to estimate the network’s future utilization. Several simulators can be used for ‘what-if’ scenarios but they all require as input some estimates of the future network use. A method for estimating the future utilization of a network is presented in this work. Network utilization is(More)
Stylianos Sp. Pappas, Georgios E. Chatzarakis, Vassilios C. Moussas, Nikolaos Pournaras 1 Department of Electrical Engineering Eduacators Aspete – School of Pedagogical and Technological Education N. Heraklion, 141 21 Athens, Greece. 2 School of Technological Applications, Technological Educational Institute of Athens, 122 Ag. Spyridonas St., Egaleo 12210,(More)
In this paper, a study on how to perform simultaneous order and parameter estimation of multivariate (MV) ARMA (autoregressive moving average) models under the presence of noise is addressed. The proposed method, which is computationally efficient, is an extension of a previously presented method for MV AR models and is based on the well established and(More)
The adoption beam formation of smart antenna techniques is increase the interference moderation future of wireless systems. It is estimated to have a significant impact on the efficient use of the spectrum, the minimization of the cost of build new wireless networks the optimization of service quality and realization of diaphanous operation across multi(More)
The aim of this paper is to present the optimization methodology developed in the frame of a Coastal Transport Information System. The system will be used for the effective design of coastal transportation lines and incorporates subsystems that implement models, tools and techniques that may support the design of improved networks. The role of the(More)
Multimodel partition theory, introduced by Lainiotis summarizes the parametric model uncertainty into an unknown, finite dimensional parameter vector whose values are assumed to lie within a known set of finite cardinality. It is not restricted to the Gaussian case and it is also applicable to on line/adaptive operation. By applying this method a new(More)
  • 1