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Synergistic design of communications and radar systems with common spectraland hardware resources is heralding a new era of efficiently utilizing alimited radio-frequency spectrum. Such a joint radar-communications (JRC) modelhas advantages of low-cost, compact size, less power consumption, spectrumsharing, improved performance, and safety due to enhanced information sharing.Today, millimeter-wave (mm-wave) communications have emerged as the preferredtechnology for short distance wireless links because they provide transmissionbandwidth that is several gigahertz wide. This band is also promising forshort-range radar applications, which benefit from the high-range resolutionarising from large transmit signal bandwidths. Signal processing techniques arecritical in implementation of mmWave JRC systems. Major challenges are jointwaveform design and performance criteria that would optimally trade-off betweencommunications and radar functionalities. Novel multiple-input-multiple-output(MIMO) signal processing techniques are required because mmWave JRC systemsemploy large antenna arrays. There are opportunities to exploit recent advancesin cognition, compressed sensing, and machine learning to reduce requiredresources and dynamically allocate them with low overheads. This articleprovides a signal processing perspective of mmWave JRC systems with an emphasison waveform design.

Toward Millimeter Wave Joint Radar-Communications: A Signal Processing Perspective