Hybrid Cramer-Rao Bound for Joint Estimation of Target Angle and Nodes Position Deviations in Coherent Distributed Radar

Based on Hybrid Cramer-Rao Bound (HCRB) theory, this paper analyzes the influence of the target angle on the estimation accuracy of distributed radar position deviation and the influence of the self-calibration on the target angle. Firstly, the theoretical model of HCRB is derived by considering the information from the fast-time dimension, slow-time dimension and multi-node radar dimension of the radar system. Then, based on the estimation accuracy curves of the radar node position deviations, this paper analyzes the priority of the x or y direction position deviation estimation in the actual scene. Also, this paper simulates and analyzes the improvement of target angle estimation accuracy by compensating different direction position deviation. Finally, this paper calculates the target angle which has the best estimation accuracy in specific configuration, and these results are consistent with the simulation results.