A target simulator for RFID direction of arrival estimation systems is proposed. This simulator can be used in the evaluation of such systems and offers a method for fast, economical and, above all, reproducible and transferable analysis of their performance. Signal models and descriptions of two typical detrimental propagation effects are derived. The developed system structure and hardware modules are presented and exemplary evaluation results are given, showing the application of this method.

This paper investigates the practicability of some well known antenna array calibration algorithms and gives a deeper insight into existing obstacles. Analysis on the validity of the common used calibration model is presented. A new effect in modeling errors is revealed and simulation results substantiate this theory. The research goal was to simplify calibration procedures for antenna arrays which are used for direction-of-arrival estimation.

In the present publication a GPS- based localization system for saving fawns during pasture mowing was introduced. Fawns were first found by a UAV before mowing began. They were then tagged with active RFID transponders, and an appropriate reader was installed on a mowing machine. Conventional direction-of-arrival approaches require a large antenna array, while our transponders were equipped with a small GPS module, allowing a transponder to determine its own position on request from the reader.

Increased complexity and severity of future driver assistance systems demand extensive testing and validation. For driver assistance functions the perception of the sensors is crucial. Therefore, sensors also have to be modeled. In this contribution, a statistical data-driven sensor-model, is described. The method is widely applicable and able to adapt to complex behavior. As exemplary implementation, a model of an automotive radar system, using a high precision measurement system, is presented.

This paper presents a localization concept for fawn saving. Fawns can be saved during pasture mowing by marking them with an active UHF RFID transponder. The system consists of a mowing-machine mounted direction-of-arrival (DOA) system and a handheld DOA device. Only by estimating the DOA one can reliable localize the marked fawns. The whole RFID and DOA system is presented and communication concept is shown.

In this paper, the coexistence of KLEER (a proprietary wireless standard in the 2.4GHz-ISM-band for high quality audio transmission) in presence of Bluetooth and WLAN IEEE 802.11b/g is analyzed. The study shows that Bluetooth and WLAN can be a very serious interferer, especially when no Bluetooth device is connected and Bluetooth will periodically actively search for devices (Bluetooth paging).