Velocity estimation and compensation of high-speed target from undersampled data

Shuanghui Zhang; Yongxiang Liu; Xiang Li

doi:10.1117/12.2559598

31 December 2019 Velocity estimation and compensation of high-speed target from undersampled data

Shuanghui Zhang, Yongxiang Liu, Xiang Li

Proceedings Volume 11384, Eleventh International Conference on Signal Processing Systems; 1138419 (2019) https://doi.org/10.1117/12.2559598
Event: Eleventh International Conference on Signal Processing Systems, 2019, Chengdu, China

Abstract

For the high-speed moving target, its high-resolution range profile (HRRP) obtained by wideband radar is stretched by the high order phase error. To obtain well-focused HRRP, the phase error induced by target velocity should be compensated, utilizing either measured or estimated target velocity. When the radar echo is under sampled, however, the HRRP will suffer from strong side and grid lobes, which deteriorates the performance of velocity estimation. A novel velocity estimation and compensation of high-speed target for under sampled data is proposed. The variational Bayesian inference based on the Laplacian scale mixture (LSM) prior is utilized to reconstruct HRRP with high resolution from the under sampled data. During the reconstruction of HRRP, the minimum entropy-based Newton method is used to estimate the velocity to compensate the high order phase error. Experimental results validate the effectiveness of the proposed velocity estimation and compensation algorithm.

Citation Download Citation

Shuanghui Zhang, Yongxiang Liu, and Xiang Li "Velocity estimation and compensation of high-speed target from undersampled data", Proc. SPIE 11384, Eleventh International Conference on Signal Processing Systems, 1138419 (31 December 2019); https://doi.org/10.1117/12.2559598

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