Cross-range resolution improvement in forward-looking imaging radar using autoregressive model-based data extrapolation

摘要

The authors propose an extrapolation method to improve cross-range resolution in forward-looking imaging radar with multi-input/dual-output configuration. The extrapolation, which is based on autoregressive (AR) model, has different prediction directions according to the position of transmitting antennas. They tested the proposed method in a simulation with noise and in an actual experiment. In the simulation and experiment, the proposed method, which uses Burg method as an estimator of AR model, shows better image quality than other methods.