Signal Processing and Novel Technologies in Radar Systems

在相同频率上运行的雷达和通信技术使每个系统都容易受到其他系统的干扰，从而导致性能下降。目前缓解干扰的方法限制了雷达系统的特性，这可能限制了它们在理想环境中工作的适用性。在过去的十年中，人们研究了一种新的方法，将雷达和通信结合到同一个平台中，创建一个双功能雷达通信系统（DFRC）。雷达结构和雷达脉冲调制可以被DFRC系统利用，以便在不影响雷达性能的情况下进行通信。通过整合传统独立系统的功能，可以降低成本和功耗，并更有效地管理系统。然而，关于这项新技术有许多问题必须解决。必须开发一个理论框架来优化双功能系统，以促进快速数据传输而不损害雷达功能。现有的传输波形被优化为发射它们的系统的单一功能，因此双功能系统的波形需要新的设计。目前的研究并没有研究雷达建设性干扰在通信系统中被利用的潜力。机器学习为雷达和通信系统频谱共享的复杂数学模型的开发提供了另一种方法。为了实现这项技术的部署，研究必须通过使用真实硬件的实验验证来支持。Ratnarajah教授概述的博士项目为研究提供了机会，并为克服这些挑战做出了有意义的贡献。

Radar and communication technologies operating across the same frequencies leave each system susceptible tointerference from the other, resulting in performance degradation. Current approaches to mitigating interferenceplace restrictions on the characteristics of the radar system, which may limit their suitability to operate in a desired environment [1].Over the past decade a novel approach has being examined in which radar and communications are incorporatedinto the same platform, creating a dual-function radar communication system (DFRC). The radar architectureand modulation of radar pulses can be exploited by the DFRC system in order to communicate without impactingradar performance [2]. By integrating the functionality of traditionally separate systems, cost and power consumption can be reduced and the systems more efficiently managed.However, there are many questions concerning this novel technology that must be addressed. A theoretical framework must be developed for optimising the dual-function system to facilitate fast data transfer without compromise of radar functionality. Existing transmission waveforms are optimised to the single-function of the systememitting them, so the waveform of a dual-function system requires a novel design. Current research does notexamine the potential for radar constructive interference to be exploited in communication systems. Machinelearning offers an alternative approach to the development of complex mathematical models for spectrum sharing of radar and communications systems. For the deployment of this technology to be realised the research mustbe underpinned by experimental verification using real hardware.The PhD project outlined by Professor Ratnarajah offers the opportunity to research and provide a meaningfulcontribution to overcoming these challenges.