TY - GEN
T1 - A single dataset Joint Domain Localized Algorithm for clutter suppression in shipborne High Frequency Surface Wave Radar
AU - Guo, Liang
AU - Zhang, Xin
AU - Yang, Qiang
AU - Wang, Lin
AU - Zhang, Jiazhi
AU - Deng, Weibo
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - Due to the motion of the platform, targets with low velocity like ships will be submerged in the spreading spectrum of the first-order sea clutter in shipborne high frequency surface wave radar (HFSWR). For shipborne HFSWR, the statistics characteristic of the first-order sea clutter vary significantly in range dimension and the qualified training samples are limited, the performance of the generally used clutter suppression method space-time adaptive processing (STAP) degrades in this scenario. To deal with this problem, a single dataset algorithm using only one range cell to estimate the clutter covariance matrix (CCM) is proposed. The CCM is estimated from other angle-Doppler regions in the same range bin based on the prior knowledge of the spread sea clutter. The proposed algorithm has a good performance tested by real data.
AB - Due to the motion of the platform, targets with low velocity like ships will be submerged in the spreading spectrum of the first-order sea clutter in shipborne high frequency surface wave radar (HFSWR). For shipborne HFSWR, the statistics characteristic of the first-order sea clutter vary significantly in range dimension and the qualified training samples are limited, the performance of the generally used clutter suppression method space-time adaptive processing (STAP) degrades in this scenario. To deal with this problem, a single dataset algorithm using only one range cell to estimate the clutter covariance matrix (CCM) is proposed. The CCM is estimated from other angle-Doppler regions in the same range bin based on the prior knowledge of the spread sea clutter. The proposed algorithm has a good performance tested by real data.
KW - clutter suppression
KW - joint domain localized
KW - shipborne HFSWR
KW - spacetime adaptive processing
UR - https://www.scopus.com/pages/publications/85098591582
U2 - 10.1109/RadarConf2043947.2020.9266482
DO - 10.1109/RadarConf2043947.2020.9266482
M3 - 会议稿件
AN - SCOPUS:85098591582
T3 - IEEE National Radar Conference - Proceedings
BT - 2020 IEEE Radar Conference, RadarConf 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Radar Conference, RadarConf 2020
Y2 - 21 September 2020 through 25 September 2020
ER -