Using ISAC Waveform Joint Design Algorithm to Improve the Efficiency of Communication and Perception Fusion in 6G Environment
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Abstract
Doppler spread in high-speed mobility environments significantly degrades the communication reliability and sensing accuracy of conventional integrated sensing and communication (ISAC) waveforms, limiting the performance of next-generation electromagnetic signal transmission and perception systems. To address this challenge, this study proposes a joint ISAC waveform design algorithm for 6G environments that combines Doppler-aware symbol-level precoding, multi-phase intra-pulse modulation, and time-frequency hybrid waveform construction. A unified channel and target echo model is established to characterize Doppler sensitivity, while adaptive phase compensation suppresses inter-carrier interference and enhances waveform robustness. By integrating OFDM and linear frequency modulation (LFM) signals through dual-objective optimization with adaptive weighting, the proposed framework achieves a dynamic trade-off between communication throughput and sensing performance under rapidly varying channels. Simulation results demonstrate that at a target velocity of 150 m/s, the proposed method achieves a bit error rate of 0.22, an average false alarm rate of 3.73×10−4, a target resolution probability of 0.85 at 0.2 m spacing, and a communication throughput of 200 Mbps. The proposed waveform design effectively improves spectral efficiency, Doppler resilience, and communication-sensing integration capability, providing a practical solution for high-speed 6G electromagnetic propagation environments and future intelligent wireless systems.
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