21 resultados para Compact Dual Frequency rnicrostrip antennas


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Aiming to evaluate the methodologies of surveys related with the specifications of Geo-referencing Rural Parcels in Brazil, established by INCRA (National Institute of Colonization and Agrarian Reform), in attendance to the Law 10.267/01, and considering aspects of precision and accuracy, a test area was set up in the Assentamento Florestan Fernandes, in the county of Presidente Bernardes, SP. This area was subdivided in three sub-areas in order to simulate the existence of three contiguous rural parcels. The first stage of work consisted in the implantation and determination of the control points coordinates in their respective areas. These control points were determined by the process of direct transport, using dual frequency (L1/L2) GPS receivers and through the process of traverse with baselines of up to 20 km, using single frequency receivers (L1). The coordinates of the points of the perimeter of the three sub-areas were determined using single frequency GPS receivers, from two survey methods, both using static relative positioning. The first one, so called traverse, each point that delimits the property was occupied successively, starting from the control point and closing at another. In other, denominated double irradiation, each point of the property was irradiated from two control points. These procedures were accomplished with the intention to define and to implement a mistake control strategy, to realize redundancy measurements and to use an adjustment method correctly, to obtain trustworthily values in the patterns demanded in each kind of survey. With the data collected and processed some analyses could be accomplished from the discrepancies between the coordinates obtained by different methodologies. The results show that this test area may be used to validate other methodologies and equipments. The results were satisfactory and attended the specifications of Geo-referencing Rural Parcel.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The research trend for harvesting energy from the ambient vibration sources has moved from using a linear resonant generator to a non-linear generator in order to improve on the performance of a linear generator; for example, the relatively small bandwidth, intolerance to mistune and the suitability of the device for low-frequency applications. This article presents experimental results to illustrate the dynamic behaviour of a dual-mode non-linear energy-harvesting device operating in hardening and bi-stable modes under harmonic excitation. The device is able to change from one mode to another by altering the negative magnetic stiffness by adjusting the separation gap between the magnets and the iron core. Results for the device operating in both modes are presented. They show that there is a larger bandwidth for the device operating in the hardening mode compared to the equivalent linear device. However, the maximum power transfer theory is less applicable for the hardening mode due to occurrence of the maximum power at different frequencies, which depends on the non-linearity and the damping in the system. The results for the bi-stable mode show that the device is insensitive to a range of excitation frequencies depending upon the input level, damping and non-linearity.

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To ensure high accuracy results from GPS relative positioning, the multipath effects have to be mitigated. Although the careful selection of antenna site and the use of especial antennas and receivers can minimize multipath, it cannot always be eliminated and frequently the residual multipath disturbance remains as the major error in GPS results. The high-frequency multipath from large delays can be attenuated by double difference (DD) denoising methods. But the low-frequency multipath from short delays is very difficult to be reduced or modeled. In this paper, it is proposed a method based on wavelet regression (WR), which can effectively detect and reduce the low-frequency multipath. The wavelet technique is firstly applied to decompose the DD residuals into the low-frequency bias and high-frequency noise components. The extracted bias components by WR are then directly applied to the DD observations to correct them from the trend. The remaining terms, largely characterized by the high-frequency measurement noise, are expected to give the best linear unbiased solutions from a least-squares (LS) adjustment. An experiment was carried out using objects placed close to the receiver antenna to cause, mainly, low-frequency multipath. The data were collected for two days to verify the multipath repeatability. The ground truth coordinates were computed with data collected in the absence of the reflector objects. The coordinates and ambiguity solution were compared with and without the multipath mitigation using WR. After mitigating the multipath, ambiguity resolution became more reliable and the coordinates were more accurate.

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This paper uses artificial neural networks (ANN) to compute the resonance frequencies of rectangular microstrip antennas (MSA), used in mobile communications. Perceptron Multi-layers (PML) networks were used, with the Quasi-Newton method proposed by Broyden, Fletcher, Goldfarb and Shanno (BFGS). Due to the nature of the problem, two hundred and fifty networks were trained, and the resonance frequency for each test antenna was calculated by statistical methods. The estimate resonance frequencies for six test antennas were compared with others results obtained by deterministic and ANN based empirical models from the literature, and presented a better agreement with the experimental values.

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Pós-graduação em Física - IFT