This paper presents a calibration technique for phased array radars. The real embedded patterns of the array elements are measured independently in operating mode, while taking antenna coupling and other parasitic effects into account. The proposed technique does not affect the operation of the antenna array. The use of suitable switches integrated in the beamforming network of the array allows introducing sparsity into the measured summed signal. This enables the extraction of the angular dependent calibration coefficients by means of a dedicated compressed sensing approach.

In the paper, the use of NI LabVIEW FPGA module and NI Digital Electronics FPGA Board for the implementation of pulse position modulator and demodulator are considered. Different features of this development board was described. The measurements and tests of the system were carried out.

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Smart animal husbandries require the adoption of dedicated tools to assess the contribution of each animal to the production process. The IoT platform presented in this article is a real-team monitoring system for voluntary weighing of cattle. To this end, the ISO 18000-6 standard is used for animal identification through an ultra-high-frequency radio link between a reader antenna and suitable ear tags. A customized data processing algorithm has been developed and embedded in the considered system. To demonstrate the effectiveness of the solution, extensive measurements have been carried out in a real-life environment. The proposed IoT platform is useful to farmers as a control tool for selection and breeding work.

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