Range and Velocity Estimation for DFRFT-OFDM-Based Joint Communication and Sensing Systems

As being able to share radio frequency (RF) hardwares and spectrum bandwidth, joint communication and radar sensing system has attracted a lot of attention. The integrated waveforms based on orthogonal frequency-division multiplexing (OFDM) with fast Fourier transform (FFT-OFDM) and OFDM with discrete fractional Fourier transform (DFRFT-OFDM) have been developed. However, the existing derived ambiguity function does not distinguish the two waveforms clearly. In addition, few range and velocity estimation algorithm for DFRFT-OFDM-based integrated waveform has been investigated. Therefore, in this paper we derive the ambiguity function of the DFRFT- OFDM-based waveform based on wideband analysis, which shows the superiority of the DFRFT-OFDM-based integrated waveform on range resolution. Moreover, range and velocity estimation algorithms based on pulse compression and coherent accumulation are proposed for the DFRFT-OFDM-based integrated waveform, respectively. Simulation results validate that the proposed algorithms can accurately estimate the distances and velocities of multiple moving targets.