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- Marinho, Marco A. M., et al.
(författare)
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Array interpolation based on multivariate adaptive regression splines
- 2016
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Ingår i: 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE).
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Konferensbidrag (refereegranskat)abstract
- Many important signal processing techniques such as Spatial Smoothing, Forward Backward Averaging and Root-MUSIC, rely on antenna arrays with specific and precise structures. Arrays with such ideal structures, such as a centro-hermitian structure, are often hard to build in practice. Array interpolation is used to enable the usage of these techniques with imperfect (not having a centro-hermitian structure) arrays. Most interpolation methods rely on methods based on least squares (LS) to map the output of a perfect virtual array based on the real array. In this work, the usage of Multivariate Adaptive Regression Splines (MARS) is proposed instead of the traditional LS to interpolate arrays with responses largely different from the ideal.
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| 2. |
- Marinho, Marco, 1986-, et al.
(författare)
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Adaptive Communication and Cooperative MIMO Cluster Formation for Improved Lifetime in Wireless Sensor Networks
- 2016
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Ingår i: Proceedings - WiSEE 2016: 2016 IEEE International Conference on Wireless for Space and Extreme Environments. - New York : IEEE. - 9781509026098 - 9781509026104 ; , s. 190-195
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Konferensbidrag (refereegranskat)abstract
- One of the main limitations that still keeps Wireless Sensor Networks (WSNs) from being adopted in a large scale is the limited energy supply, i.e. the lifetime of the nodes that constitute the network. The wireless communication between nodes is responsible for most of the energy consumed in WSNs. A promising method to improve the energy efficiency is the usage of a Cooperative Multiple Input Multiple Output (CO-MIMO) scheme, where nodes form clusters to transmit and receive signals using a virtual antenna array. This work presents a study on the energy consumption of multi-hop and single-hop transmission compared to CO-MIMO and how to select the most efficient method. It also proposes a method for adaptively choosing the number of nodes that form a CO-MIMO cluster in order to maximize the lifetime of the network and to avoid disconnections. The proposed method takes into account not only the total energy consumption but also the distribution of energy within the network, aiming to keep the energy distribution across the network as uniform as possible. The effects of the proposed methods in the total available energy of the network and in the distribution of the energy is presented by means of numerical simulations. © 2016 IEEE.
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