TY - GEN
T1 - Slow-time Randomly Missing Data Reconstruction for Skywave Over-the-horizon Radar
AU - Zhang, Baiqiang
AU - Xie, Junhao
AU - Zhou, Jie
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In skywave over-the-horizon radar (OTHR), the slow-time randomly missing data reconstruction is vital for the following signal processing where the data contaminated by lightning discharges or transient meteors are usually discarded and have to be reconstructed properly. The least-square auto-regressive (LS-AR) method is often used as a solver for the randomly missing problem. However, the derivations for the LS-AR method are not convincing and the performance of the LS-AR method would be degraded or even failed in some cases. In this paper, we are aimed at solving these two issues where two corresponding methods are proposed. The former method has a solid theoretical foundation and we will see that the LS-AR method could be considered as a simplified form of it. The latter method based on the LS-AR method behaves robustly for randomly missing positions compared with other types of methods by real data processing.
AB - In skywave over-the-horizon radar (OTHR), the slow-time randomly missing data reconstruction is vital for the following signal processing where the data contaminated by lightning discharges or transient meteors are usually discarded and have to be reconstructed properly. The least-square auto-regressive (LS-AR) method is often used as a solver for the randomly missing problem. However, the derivations for the LS-AR method are not convincing and the performance of the LS-AR method would be degraded or even failed in some cases. In this paper, we are aimed at solving these two issues where two corresponding methods are proposed. The former method has a solid theoretical foundation and we will see that the LS-AR method could be considered as a simplified form of it. The latter method based on the LS-AR method behaves robustly for randomly missing positions compared with other types of methods by real data processing.
KW - Skywave over-the-horizon radar (OTHR)
KW - auto-regressive (AR) model
KW - missing data reconstruction
UR - https://www.scopus.com/pages/publications/85181116628
U2 - 10.1109/Radar53847.2021.10028505
DO - 10.1109/Radar53847.2021.10028505
M3 - 会议稿件
AN - SCOPUS:85181116628
T3 - Proceedings of the IEEE Radar Conference
SP - 3255
EP - 3260
BT - 2021 CIE International Conference on Radar, Radar 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 CIE International Conference on Radar, Radar 2021
Y2 - 15 December 2021 through 19 December 2021
ER -