TY - GEN
T1 - On Joint Active-Passive Recognition of Underwater Low-Speed Small Targets Using Target Strength and Source Level
AU - Lai, Kai
AU - Liu, Xionghou
AU - Yang, Yixin
AU - Sun, Chao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - For improving the recognition performance of underwater low-speed small targets, we propose the joint active-passive recognition method of underwater low-speed small targets using the target strength (TS) and the source level (SL). In the considered method, TS and SL are together regarded as a joint active-passive feature. Specifically, the extraction methods of TS and SL are given according to the processing procedures of the active and the passive sonar. Two forms of application of the considered method are given. For the first form, the joint active-passive feature is directly used to recognize underwater low-speed small targets. For the second form, the joint active-passive feature is fused with other traditional features to achieve a better recognition performance. The results indicate that the joint active-passive feature itself has a good distinguishability even at a relatively low signal-to-noise ratio (SNR). Due to the good distinguishability, the recognition performance has been significantly improved by fusing the joint active-passive feature with other traditional features. The considered method can reliably recognize underwater low-speed small targets despite the adverse impacts of their weak echoes and radiated noise, which provides a potential way to recognize underwater low-speed small targets located at long ranges.
AB - For improving the recognition performance of underwater low-speed small targets, we propose the joint active-passive recognition method of underwater low-speed small targets using the target strength (TS) and the source level (SL). In the considered method, TS and SL are together regarded as a joint active-passive feature. Specifically, the extraction methods of TS and SL are given according to the processing procedures of the active and the passive sonar. Two forms of application of the considered method are given. For the first form, the joint active-passive feature is directly used to recognize underwater low-speed small targets. For the second form, the joint active-passive feature is fused with other traditional features to achieve a better recognition performance. The results indicate that the joint active-passive feature itself has a good distinguishability even at a relatively low signal-to-noise ratio (SNR). Due to the good distinguishability, the recognition performance has been significantly improved by fusing the joint active-passive feature with other traditional features. The considered method can reliably recognize underwater low-speed small targets despite the adverse impacts of their weak echoes and radiated noise, which provides a potential way to recognize underwater low-speed small targets located at long ranges.
KW - joint active-passive features
KW - recognition
KW - source level
KW - target strength
KW - underwater low-speed small targets
UR - http://www.scopus.com/inward/record.url?scp=85184799683&partnerID=8YFLogxK
U2 - 10.1109/ICICSP59554.2023.10390858
DO - 10.1109/ICICSP59554.2023.10390858
M3 - 会议稿件
AN - SCOPUS:85184799683
T3 - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
SP - 1086
EP - 1090
BT - 2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
Y2 - 23 September 2023 through 25 September 2023
ER -