| 1. |
- Marinho, Marco A. M., 1986-, et al.
(författare)
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Antenna Array Based Localization Scheme for Vehicular Networks
- 2017
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Ingår i: 2017 IEEE International Conference on Computer and Information Technology (CIT). - Los Alamitos : IEEE Computer Society. - 9781538609583 - 9781538609590 ; , s. 142-146
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Konferensbidrag (refereegranskat)abstract
- Vehicular ad hoc networks (VANETs) are emerging as the possible solution for multiple concerns in road traffic such as mobility and safety. One of the main concerns present in VANETs is the localization and tracking of vehicles. This work presents a passive vehicle localization and tracking method based on direction of arrival (DOA) estimation. The proposed method does not rely on external sources of information such as Global Navigation Satellite Systems (GNSS) and can be used to mitigate the possibility of spoofing or to provide a second independent source of position estimation for integrity purposes. The proposed algorithm uses array signal processing techniques to estimate not only the position but also the direction of other vehicles in network. Furthermore, it is a fully passive method and can alleviate the network load since it does not require any location based data exchange and can be performed by any listening vehicle using the signal of any data transmission. A set of numerical simulations is used to validate the proposed method and the results are shown to be more precise than the average accuracy of Global Position System (GPS) receivers. © Copyright 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. |
- Marinho, Marco A. M., 1986-, et al.
(författare)
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Non-Line-of-Sight Based Radio Localization With Dual-Polarization Antenna Arrays
- 2020
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Ingår i: WSA 2020. - Berlin : VDE Verlag GmbH. - 9783800752003
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Konferensbidrag (refereegranskat)abstract
- This work presents an approach for radio-based localization in non-line-of-sight (NLOS) environments by leveraging a dual-polarization antenna array. By estimating the polarization of the received signal, it is possible to estimate the angle of reflection of a NLOS signal. An estimate of the position of the transmitter concerning the receiver can be obtained based on a joint estimation of the reflection angle of several NLOS signals together with their respective directions of arrival (DOAs) and time differences of arrival (TDOAs). A set of numerical simulations is used to assess the performance of the proposed method. © VDE VERLAG GMBH. Berlin. Offenbach
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| 4. |
- Marinho, Marco A. M., 1986-, et al.
(författare)
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Performance Assessment for Distributed Broadband Radio Localization
- 2018
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Ingår i: 2018 52nd Asilomar Conference on Signals, Systems, and Computers. - Washington, DC : IEEE. - 9781538692189 - 9781538692165 - 9781538692172 - 9781538692196 ; , s. 20-23
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Konferensbidrag (refereegranskat)abstract
- Various emerging technologies, such as autonomous vehicles and fully autonomous flying, require precision positioning. This work presents a localization and tracking method based on joint direction of arrival (DOA), time delay, and range estimation using the SAGE algorithm. The proposed method does not rely on external sources of information such as global navigation satellite systems (GNSS). The method is opportunistic and does not require any location-based data exchange. A set of numerical simulations is presented to assess the performance of the proposed method.
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| 5. |
- 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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| 6. |
- Marinho, Marco, 1986-, et al.
(författare)
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Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals
- 2018
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Ingår i: Signal Processing. - Amsterdam : Elsevier. - 0165-1684 .- 1872-7557. ; 144, s. 19-28
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Tidskriftsartikel (refereegranskat)abstract
- Important signal processing techniques need that the response of the different elements of a sensor array has specific characteristics. For physical systems this often is not achievable as the array elements’ responses are affected by mutual coupling or other effects. In such cases, it is necessary to apply array interpolation to allow the application of ESPRIT, Forward Backward Averaging (FBA), and Spatial Smoothing (SPS). Array interpolation provides a model or transformation between the true and a desired array response. If the true response of the array becomes more distorted with respect to the desired one or the considered region of the field of view of the array increases, nonlinear approaches becomes necessary. This work presents two novel methods for sector discretization. An Unscented Transform (UT) based method and a principal component analysis (PCA) based method are discussed. Additionally, two novel nonlinear interpolation methods are developed based on the nonlinear regression schemes Multivariate Adaptive Regression Splines (MARS) and Generalized Regression Neural Networks (GRNNs). These schemes are extended and applied to the array interpolation problem. The performance of the proposed methods is examined using simulated and measured array responses of a physical system used for research on mutual coupling in antenna arrays. © 2017 The Author(s). Published by Elsevier B.V.
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| 7. |
- Marques Marinho, Marco Antonio, 1986-, et al.
(författare)
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GNSS Aided Non-Line-of-Sight Radio Localization via Dual Polarized Arrays
- 2020
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Ingår i: WiP Proceedings of the International Conference on Localization and GNSS (ICL-GNSS 2020). - Aachen : Rheinisch-Westfaelische Technische Hochschule Aachen.
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Konferensbidrag (refereegranskat)abstract
- This work presents a radio based localization approach that is capable of accurately positioning radio emitters even when no direct line-of-sight signal is available. A dual polarized array is employed along with the space alternating generalized expectation maximization (SAGE) algorithm. To lighten the computational load and improve the accuracy of the proposed method, Global Navigation Satellite Systems (GNSS) positioning is used to initialize and limit the search area of SAGE. A set of numerical simulations is presented, highlighting the performance of the proposed method. © 2020 for this paper by its authors.
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| 8. |
- Marques Marinho, Marco Antonio, 1986-, et al.
(författare)
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Multi-Band Antenna Array Geometry Impact on Array Interpolation
- 2021
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Konferensbidrag (refereegranskat)abstract
- Multi-band or multi-frequency antennas have become essential for many GNSS applications [1]. These antennas allow a receiver to simultaneously receive from multiple bands such as L1, L2, L2C, E5A, L5, and so on, which is essential for ionosphere corrections, can help mitigating multipath induced biases, and improve overall system availability. Furthermore, they also allow for multiple GNSS to be used simultaneously, improving accuracy and robustness due to the larger number of satellites available.Another advancement that has recently attracted attention in the GNSS community is the usage of antenna arrays at the receiver [2], [3]. These arrays, which can assume multiple shapes and sizes, can be used to enhance system performance in multiple ways. Beamforming can be used to null out interferers or multipath components and improve gain over a designated direction of arrival. Some antenna array geometries can also enable a receiver to estimate its attitude while relying solely on received GNSS signals.While both multi-band antennas and antenna arrays offer attractive advantages for precise GNSS positioning, merging such systems on a single receiver can be challenging. Antenna arrays have their performance largely dictated by their geometries and the spacing between antenna elements [4]. This spacing is defined with respect to the frequency of the signal that is received at the antenna array. If the spacing is too large the receiver will suffer from inaccuracy introduced by ambiguities that will be present when trying to filter out undesired signals or when trying to estimate the direction of arrival of received signals. If the spacing is too small, the total array directivity will be lower, which will lead to more biased direction of arrival estimations or to beamformers with lobes that are too broad to filter out undesired signals.The relationship between frequency and geometry makes it impossible to create a multi-band antenna array that is optimal for every frequency received, as optimizing one frequency will inevitably lead to performance degradation in the remaining ones. To tackle this issue, a technique known as array interpolation can be employed [5]. Array interpolation consists of creating a mathematical transformation that projects the signal received at a real and imperfect array onto an ideal and abstract receiver. This allows arrays whose geometries are not optimal, and even heavily distorted with respect to an optimal geometry, to achieve high levels of performance, with improved direction of arrival estimation accuracy. A different array interpolation can be constructed for each individual frequency received at the array. Thus, array interpolation can be a valuable tool for allowing multi-band antenna arrays to achieve high performance over the entire range of frequencies they are designed to receive.This work studies the effects of optimizing antenna array geometries for a given frequency band while applying array interpolation over the array response for the remaining frequency bands. Furthermore, the possibility of choosing a geometry that is not optimal for any given array geometry but achieving an overall improved performance over the entire range of frequency bands to which the array is tuned is also studied. The performance of multiple array interpolation methods is verified, and the tradeoffs between performance and computational complexity is studied.[1] J. Li, H. Shi, H. Li, and A. Zhang, “Quad-band probe-fed stacked annular patch antenna for GNSS applications,” IEEE Antennas Wirel. Propag. Lett., vol. 13, pp. 372–375, 2014.[2] S. Caizzone, “Miniaturized E5a/E1 antenna array for robust GNSS navigation,” IEEE Antennas Wirel. Propag. Lett., vol. 16, pp. 485–488, 2016.[3] S. Caizzone, W. Elmarissi, M. A. M. Marinho, and F. Antreich, “Direction of arrival estimation performance for compact antenna arrays with adjustable size,” in IEEE MTT-S International Microwave Symposium Digest, 2017.[4] Y. T. Lo, S. W. Lee, and Q. H. Lee, “Optimization of directivity and signal-to-noise ratio of an arbitrary antenna array,” Proc. IEEE, vol. 54, no. 8, pp. 1033–1045, 1966.[5] M. A. M. Marinho, F. Antreich, S. Caizzone, J. P. C. L. da Costa, A. Vinel, and E. P. de Freitas, “Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals,” Signal Processing, vol. 144, 2018. © 1995-2021, The Institute of Navigation, Inc.
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