Unified waveform design for automotive joint radar-communications (JRC) leverages the scarce spectrum efficiently and has become a key topic for investigation of late. Designing such a waveform necessitates meeting the requirements of both systems, thereby making it a challenging task. The contribution of this paper is to formulate the JRC design problem into an optimization problem and propose an algorithm to maximize the signal-to-clutter-plus-noise-ratio (SCNR) of radar system and signal-to-noise-ratio (SNR) at communicating vehicle, simultaneously. Central to this are the exploitation of the communication link to acquire environment/ channel information and enhance radar tasks, flexibility to impart trade-off between the two systems during design as well the formulation of the optimization problem to include sidelobe constraints and yield solutions robust to Doppler shifts. The designed waveforms exhibit enhanced radar performance in terms of probability of detection and communication performance in terms of bit error rate (BER), while taking into account the trade-off between two systems. The numerical simulations corroborate the claim of optimized performance with environment/ channel information, ease of effecting trade-off and the use of design flexibility.

中文翻译：

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汽车联合雷达通信系统的自适应波形设计


汽车联合雷达通信（JRC）的统一波形设计有效地利用了稀缺频谱，已成为最近研究的一个关键主题。设计这样的波形需要满足两个系统的要求，因此是一项具有挑战性的任务。本文的贡献是将 JRC 设计问题转化为优化问题，并提出一种最大化雷达系统信噪比 (SCNR) 和信噪比 (SNR) 的算法。 ）同时在通信车辆上。其核心是利用通信链路来获取环境/信道信息并增强雷达任务，在设计过程中灵活地在两个系统之间进行权衡，以及制定优化问题以包括旁瓣约束并产生稳健的解决方案多普勒频移。设计的波形在检测概率方面表现出增强的雷达性能，在误码率 (BER) 方面表现出通信性能，同时考虑到两个系统之间的权衡。数值模拟证实了通过环境/通道信息优化性能、易于实现权衡以及利用设计灵活性的主张。