A target parameter estimation algorithm for integration of radar and communication based on orthogonal time frequency space

Orthogonal time frequency space (OTFS) is a new method technique that supports reliable information transmission in strong Doppler environment. Aiming at the radar target parameter estimation problem of integration and communication (IRC) based on OTFS, this paper proposes two-step algorithm combining maximum likelihood (ML) gradient descent (GD) principle. Firstly, echo signal OTFS integrated constructed this, ML model constructed, alternating projection (AP) employed to make rough parameters. Then results AP-ML are as initial value GD for fine estimation. Simulation show proposed has better performance resolution while reducing computational complexity.