Waveform Design for LFM-MPSK-Based Integrated Radar and Communication Toward IoT Applications

Abstract

The sharing waveform-based integrated radar and communication (IRC) has great potential to apply in Internet-of-Things (IoT) devices due to its equipment miniaturizing and high efficiency of spectrum and energy, etc. However, the sharing waveform scheme demands a tradeoff between radar and communication performances. In this article, we focus on the design of multiple phase-shift keying (MPSK)-based linear frequency modulation (LFM) sharing waveform by exploring the tradeoff among energy leakage, peak-to-side lobe ratio (PSLR), and symbol rate. First, we derive the energy leakage and PSLR with respect to the symbol rate. Next, a novel LFM-MPSK waveform design is carried out by formulating a communication frame-based optimization, where the symbol rate is maximized with the constraints of the energy leakage and PSLR. Then, a branch-and-reduce algorithm is proposed to solve the optimization. Compared with the conventional one, the proposed LFM-MPSK waveform has a higher symbol rate with the same energy leakage and PSLR. Besides, the proposed waveform design alleviates the difficulty of the tradeoff among the energy leakage, PSLR, and symbol rate due to more Pareto solutions. Finally, all the analytical results are validated by simulations.