| 1. |
- Caizzone, Stefano, et al.
(författare)
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Direction of arrival estimation performance for compact antenna arrays with adjustable size
- 2017
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Ingår i: 2017 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS). - Piscataway : IEEE. - 9781509063604 ; , s. 666-669
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Konferensbidrag (refereegranskat)abstract
- The quest for compact antenna arrays able to perform robust beamforming and high resolution direction of arrival (DOA) estimation is pushing the antenna array dimensions to progressively shrink, with effects in terms of reduced performance not only for the antenna but also for beamforming and DOA estimation algorithms, for which their assumptions about the antenna properties do not hold anymore. This work shows the design and development of an antenna array with adjustable mutual distance between the single elements: such setup will allow to scientifically analyse the effects that progressive miniaturization, i.e. progressively smaller mutual distances between the antennas, have on the DOA estimation algorithms, as well as show the improvements obtained by using array interpolation methods, i.e. techniques able to create a virtual array response out of the actual array one, such as to comply with the algorithms’ requirements on the antenna response. © 2017 IEEE.
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| 2. |
- 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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| 3. |
- Marques Marinho, Marco Antonio, 1986-, et al.
(författare)
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Spherical Wave Array Based Positioning for Vehicular Scenarios
- 2020
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Ingår i: IEEE Access. - Piscataway, N.J. : IEEE. - 2169-3536. ; 8, s. 110073-110081
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Tidskriftsartikel (refereegranskat)abstract
- Smart vehicles are emerging as a possible solution for multiple concerns in road traffic, such as mobility and safety. This work presents radio localization methods based on simultaneous direction of arrival (DOA), time-delay, and range estimation using the SAGE algorithm. The proposed methods do not rely on external sources of information, such as global navigation satellite systems (GNSS). The proposed methods take advantage of signals of opportunity and do not require the transmission of location-specific signals; therefore, they do not increase the network load. A set of simulations using synthetic and measured data is provided to validate the proposed methods, and the results show that it is possible to achieve accuracy down to decimeter and centimeter-level. © 2013 IEEE.
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