Implementation of a Radar 2D Image with modulation OFDM for an unmanned ground vehicle (UGV)

We present the development of a low-cost orthogonal frequency division multiplexing (OFDM) radar system with multi-carrier in-band S in configuration 1x2 MIMO. For the generation of 2D images using the range doppler algorithm (RDA) with carrier control and phase adjustment OFDM to improve the spatial resolution of the radar images. The modulation OFDM applied to the radar systems offers improvements over systems that use modulation LFM at level spatial resolution through techniques like space diversity through MIMO array antennas, bandwidth control, and reduction of ambiguity range through the insertion of a cyclic prefix (CP). Therefore, its integration in microwave systems for images offers a high advantage in the resolution and synthesis of aperture. Furthermore, the radar system proposed is oriented to unmanned land vehicles (UGV) applications, which apply to the virtual antenna to increment the antenna aperture to reach a more effective measurement area.

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https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11408/1140815/Implementation-of-a-hyperspectral-integrated-vision-system-combining-radar-technology/10.1117/12.2558929.full?SSO=1

Nuclear Track Analyser with IMAQ™ Vision Builder 6From National Instruments

Technical development to interpret etched nuclear tracks induced by single-charged particles or by complex interactions in plastic detectors exposed at accelerators or at GCR during space missions at Low Earth Orbit has received much attention. Frequently, large numbers of tracks are to be analyzed, often several thousand frames are under scrutiny for an individual track detector. Hence automatic processing is required. We show an alternative, new technique to analyze etched tracks by a commercially available product: IMAQ™ Vision Builder6, made by National Instruments. The data acquisition setup is the usual one: the image is collected by a CCD camera and sent to a data acquisition board type IMAQ™ PCI/PXI™-1409 (National Instruments). Then the image is analyzed with a purpose-built algorithm utilizing the IMAQ™ Vision Builder6 software, which includes a set of functions, such as image enhancement, filtration, binary image conversion, pattern recognition, providing frequency histograms for selected track parameters. To evaluate the technique employed with this newly available system, we present some results from a track etch detector evaluation algorithm developed by Pálfalvi et al. at the Atomic Energy Research Institute (Budapest).

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23rd International Conference on Nuclear Tracks in Solids, Beijing (China), 11-15 September 2006

Charge estimation method for Lithium Polymer batteries based on Extended Robust Kalman Filter

A lithium polymer battery state of battery charge (SOC) is a determinant for monitoring charging and discharging the battery factor. If we can control the operating status of the battery to prevent overload and underload, increasing the useful life of the lithium polymer battery. Based on the fact that the SOC level cannot be determined in form direct as it depends on the internal parameters of the battery, the temperature, and the level of aging. It is necessary to develop a technique to perform measurements in real-time voltage, current, and temperature of the battery. It determines a dynamic model of the battery and estimates the state of charge SOC from the robust extended Kalman filter.

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Simon Bolivar University, USB-SOLAR