TY - GEN
T1 - Space-Time Characteristic Analysis and Suppression Method Research of Directional Noise in HFSWR
AU - Xiao, Dezhu
AU - Yang, Qiang
AU - Li, Jiaming
N1 - Publisher Copyright:
© 2022 Association for Computing Machinery.
PY - 2022/8/4
Y1 - 2022/8/4
N2 - The ambient noise at any two different sensors, in practice, may correlate with each other, and the spatial distribution of ambient noise intensity may be directional because of extreme weather (thunderstorms, typhoons) or human factors (offshore wind farms, surrounding urban areas). Directional noise generally covers all doppler shift units and several angle units, and the noise level in doppler domain usually increases by 10-15 dB. Consequently, weak targets masked by directional noise are difficult to be detected. In this paper, Space-time adaptive processing (STAP) method is used to analyze the directional noise of High Frequency Surface Wave Radar (HFSWR). For the given measurements data set, we first researched the noise assess method, and then analyzed the range correlation, spatial correlation and space-time characteristics of directional noise. The results proved that directional noise has weak space-time coupling. Then, aiming at the problem of Local Processed Region (LPR) selection in joint domain localized (JDL) algorithm, this paper proposed an LPR selection method based on the multidimensional characteristics of directional noise. Finally, the experimental results have demonstrated that the improved LPR selection method is effective and the performance of weak target detection in directional noise is improved.
AB - The ambient noise at any two different sensors, in practice, may correlate with each other, and the spatial distribution of ambient noise intensity may be directional because of extreme weather (thunderstorms, typhoons) or human factors (offshore wind farms, surrounding urban areas). Directional noise generally covers all doppler shift units and several angle units, and the noise level in doppler domain usually increases by 10-15 dB. Consequently, weak targets masked by directional noise are difficult to be detected. In this paper, Space-time adaptive processing (STAP) method is used to analyze the directional noise of High Frequency Surface Wave Radar (HFSWR). For the given measurements data set, we first researched the noise assess method, and then analyzed the range correlation, spatial correlation and space-time characteristics of directional noise. The results proved that directional noise has weak space-time coupling. Then, aiming at the problem of Local Processed Region (LPR) selection in joint domain localized (JDL) algorithm, this paper proposed an LPR selection method based on the multidimensional characteristics of directional noise. Finally, the experimental results have demonstrated that the improved LPR selection method is effective and the performance of weak target detection in directional noise is improved.
KW - Directional noise
KW - HFSWR
KW - LPR
UR - https://www.scopus.com/pages/publications/85141347309
U2 - 10.1145/3556384.3556403
DO - 10.1145/3556384.3556403
M3 - 会议稿件
AN - SCOPUS:85141347309
T3 - ACM International Conference Proceeding Series
SP - 118
EP - 123
BT - SPML 2022 - Proceedings of 2022 5th International Conference on Signal Processing and Machine Learning
PB - Association for Computing Machinery
T2 - 5th International Conference on Signal Processing and Machine Learning, SPML 2022
Y2 - 4 August 2022 through 6 August 2022
ER -