Research On Target Parameter Estimation Based On Otfs Radar Communication Integration

With the upgrading of wireless communication technology and radar perception technology,the radar communication integration has been proposed.This paper studies the radar communication integrated target parameter estimation method based on Orthogonal Time Frequency Space OTFS modulation.The parameters of the target are estimated from the echo signal received by the receiver of the integrated radar communication equipment.Using the sparsity characteristics of space scattering targets,and the relationship between the distance and speed of the target relative to the integrated radar communication equipment and the time delay and Doppler frequency in the received echo signal,by analyzing the sparse representation of the delay-Doppler domain of the integrated radar channel,the estimation problem of the target distance and velocity is transformed into the sparse signal recovery problem in the delay-Doppler domain.This paper researches and designs the corresponding target parameter estimation algorithm for the two situations,and the simulation performance shows that the parameter estimation accuracy and anti-noise performance are improved.The main contributions of this paper are as follows:(1)The study proposes an integrated target distance and velocity estimation method based on OTFS technology under a single antenna.The proposed algorithm is called twice Discrete Fourier Transform Adaptive Joint Sparse Bayesian Learning Algorithm(2DFT_AJSBL).Firstly,the distance and velocity of the space scattering target are roughly estimated by 2DFT.Then taking advantage of the sparse characteristics of space targets,this paper constructs a sparse recovery model based on OTFS technology,and uses the rough estimation results to simplify the sparse sensing matrix and screen the available time-delay-Doppler domain receiving signals,and perform Bayesian reasoning based on the Sparse Bayesian framework to multiple times iterative adaptive joint estimate the distance and velocity of the target.The proposed 2DFT AJSBL algorithm is superior to traditional algorithms in terms of target distance and velocity estimation accuracy and noise immunity.(2)The integrated target range-velocity-angle joint estimation method based on multi-antenna OTFS technology is studied,and a JointVelocity-Distance and Direction of Arrival estimation algorithm(JVDDA)is proposed.The algorithm performs spatial orthogonal transformation on the received multi-antenna signals and uses the 2DFT AJSBL algorithm to complete the joint estimation of the distance and speed of the target,then uses the ESPRIT algorithm to estimate the DOA of the target,and finally completes the matching of the distance and DOA of the target through Noise Subspace Fitting algorithm.Through computer simulation,it is shown that the proposed algorithm is not only superior to the traditional algorithm in terms of parameter estimation accuracy and antinoise performance,but also can distinguish two targets that are close to each other.