An edge computing framework based on OFDM radar for low grazing angle target tracking In this paper, a novel adaptive algorithm to detect and track targets with low grazing angle is addressed. For this purpose, an orthogonal frequency division multiplexing (OFDM) radar signal is employed through an edge computing framework over the radar platform. However, detecting the targets in the low grazing angle area is a great challenge due to severe multipath reflection effects. The Earthxe2x80x99s curvature geometry model is presented as the multipath propagation model. Based on the fact that the different scattering centers of a target resonate at different frequencies, we use the optimized OFDM waveform and propose a novel target tracking procedure for low grazing angle target tracking scenarios. The obtained results show that using an OFDM radar waveform provides a more uniform detection coverage in the presence of multipath propagation such that this will fill in the nulls. Finally, simulations are used to compare the performance of the proposed OFDM waveform with the conventional equalpower, the generalized likelihood ratio (GLR)based and singlecarrier waveforms.

Range and Velocity Estimation for DFRFTOFDMBased 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 frequencydivision multiplexing (OFDM) with fast Fourier transform (FFTOFDM) and OFDM with discrete fractional Fourier transform (DFRFTOFDM) 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 DFRFTOFDMbased integrated waveform has been investigated. Therefore, in this paper we derive the ambiguity function of the DFRFT OFDMbased waveform based on wideband analysis, which shows the superiority of the DFRFTOFDMbased integrated waveform on range resolution. Moreover, range and velocity estimation algorithms based on pulse compression and coherent accumulation are proposed for the DFRFTOFDMbased integrated waveform, respectively. Simulation results validate that the proposed algorithms can accurately estimate the distances and velocities of multiple moving targets.