The paper investigates the applicability of a conventional communications signal for sensing and detection in vehicular scenario. This Joint Radar-Communications (JRC) system caters to an automotive setting characterized by a multi-target environment including clutter. In this contribution, an automotive radar employing phase modulated communication signal is considered wherein the detection of other vehicles is enabled in presence of clutter. Particularly, it is shown when the clutter is dominant in the environment, bit error rate (BER) of communications will suffer. Further, the receiver processing includes demodulation of the communication symbols at communicating vehicle in addition to the extraction of the radar parameters − range and Doppler shifts of the targets − at the JRC-equipped vehicle. The study investigates the impact of various parameters in determining the performance of the JRC set-up.
Precoding has stood out as a promising multi-user multi-antenna transmission technique to meet the emerging throughput demand of satellite communication systems while awaiting the technological maturity for exploiting higher bands. Precoding enables the reduction of interference among co-channel beams while improving spectral efficiency. Satellite systems offer multitude of system and service configurations, resulting in different precoder design methodologies. This article explores the motivation for the introduction of precoding, offers an insight to their theoretical development in diverse scenarios and presents some avenues for future development.
This paper shows the enhancement in detection performance in an automotive scenario by leveraging the backscattered communication signals from vehicles at the target scene. A sensor fusion algorithm is proposed to benefit from the information from radar and communication to improve the final range estimates. We demonstrate theoretically and illustrate through simulation that our proposed scheme enhances the radar detection performance. Thus the proposed scheme offers a solution for augmenting existing sensing capabilities to enhance detecting capabilities in a dynamic automotive scenario.
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