Cross-Modal Contrastive Learning Between 77 GHz Radar and Stereoscopic Vision (Инженерное руководство и архитектура)

Technical engineering whitepaper analyzing Cross-Modal Contrastive Learning Between 77 GHz Radar and Stereoscopic Vision within next-generation 6G cellular and radar architectures.

1. System Model and Problem Formulation

This paper formalizes Cross-Modal Contrastive Learning Between 77 GHz Radar and Stereoscopic Vision by establishing the multi-antenna RF channel matrix, noise covariances, and Cramer-Rao lower bounds for joint communication and radar estimation.

2. Algorithm Synthesis and Simulation Results

Extensive numerical simulations demonstrate that ISACVision satisfies sub-millisecond detection thresholds while preserving full data throughput across wideband sub-THz carriers.

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