Integrated Waveform Design for Radar and Communication Based on ACE-NOMA

Abstract

This paper presents a waveform design method that uses non-orthogonal multiple access (NOMA) to separate radar signals from communication signals in power domain, reduces the influence of randomness of communication information on radar performance, and uses Active Constellation Expansion (ACE) to suppress Peak to Average Power Ratio (PAPR) of superimposed signals. Firstly, the causes of overlapping constellation caused by traditional power allocation principle are analyzed, and the optimal power allocation in different modulation orders is given. Secondly, the feasibility of PAPR suppression of superimposed signals by ACE technology is analyzed theoretically. The simulation results show that under different modulation modes and different signal-to-noise ratios (SNR), when the power allocation (PA) is optimal, higher radar signal probability of detection (PD) and the lowest bit error rate of communication symbols can be achieved at the same time. The use of ACE technology ensures the bit error rate and radar performance at the communication end, and at the same time, it has a good suppression effect on PAPR of superimposed signals.