Code-Space-Orthogonal PMCW with Radar Denoising and Fine Parameter Estimation for ISAC Systems

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Integrated Sensing and Communications (ISAC) is a key technology for future 6G networks, combining wireless communication and radar sensing in a single system to improve efficiency, reduce energy consumption, and optimize spectrum usage. This work explores innovative solutions for vehicular ISAC, focusing on waveform design, digital beamforming, and radar signal processing. The proposed CSO-PMCW waveform enables reliable communication and accurate sensing in complex traffic environments, while an SLNR-based digital beamforming approach ensures robust performance with low computational complexity. In addition, the developed DFE algorithm enables efficient and accurate estimation of target distance, velocity, and angle while significantly reducing processing requirements. Together, these contributions advance the development of reliable, efficient, and intelligent transportation systems for future 6G networks.