An Efficient Spectral Approach for JCR Narrow Band Signals in Presence of Multipath and Noise

Abstract

Joint Communication Radar (JCR) systems have garnered significant attention due to their ability to simultaneously perform communication and radar sensing tasks. However, in challenging environments, JCR signals are vulnerable to multipath propagation, resulting in signal degradation, interference, and reduced system performance. This paper explores the challenges posed by multipath effects on JCR signals and proposes novel mitigation techniques to enhance their robustness and reliability. The suggested method involves employing a spectral transformation to enhance the JCR-emitted signal, resulting in a significant improvement in the overall effectiveness of JCR systems. Consequently, the numerical implementation of the JCR system integrated with the proposed technique leads to improved performance metrics, including Multipath Error Envelope (MEE), Root Mean Square Error (RMSE), and Standard Deviation (STD). By effectively mitigating the adverse impacts of multipath propagation, the proposed methodologies enhance the robustness and accuracy of JCR systems, leading to improved communication reliability and radar sensing capabilities. Notably, the proposed method achieved a minimal Root Mean Square Error (RMSE) of just 0.05, marking a substantial enhancement in performance compared to existing methods.