OFDM Based Range and Doppler Estimation by Multivariate Frequencies

Fusion of Radar Intelligent Sensing and Wireless Communication has now been a demanding platform for autonomous vehicles and modern intelligent transportation networks. In this paper, Orthogonal Frequency Division Multiplexing (OFDM) waveform design for data transmission and radar processing is proposed i.e. target parameters are efficiently estimated. Doppler measurement is improved by analyzing the multivariate frequencies of all the subcarriers of received echo with efficient FFT and the maximum likelihood (ML) estimation algorithm. Furthermore, the performance of the radar algorithms is analyzed on MATLAB. Theoretical analysis and experimental results reveal that the derived methods can attain the Doppler accuracy and achieve a high resolution-velocity estimation of moving targets.