An Adaptive INS/CNS/SMN Integrated Navigation Algorithm in Sea Area

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 4; p. 612
• Main Authors: Tian, Zhaoxu, Cheng, Yongmei, Yao, Shun, Li, Zhenwei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2024
• Subjects: Adaptive algorithms; Aircraft; Algorithms; Altitude; Automatic classification; automatic classification model; automation; Celestial navigation; cloud and fog model; Design and construction; Electronics in navigation; Fog; Inertial navigation; Inertial navigation (Aeronautics); integrated navigation; Machine learning; Matching; Nautical astronomy; Navigation systems; probability; sea area landmarks; Ships; South China Sea; Support vector machines; Technology application; Testing; Usability; usability evaluation; China; South China Sea
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs16040612

In this paper, we present an innovative inertial navigation system (INS)/celestial navigation system (CNS)/scene-matching navigation (SMN) adaptive integrated navigation algorithm designed to achieve prolonged and highly precise navigation in sea areas. The algorithm establishes the structure of the INS/CNS/SMN integrated navigation system. To ensure the availability of CNS in the Nanhai Sea (South China Sea) area, a cloud and fog model is meticulously constructed. Three distinct types of sea area landmarks are defined, and an automated classification model for sea area landmarks, employing support vector machines (SVM), is developed. Corresponding matching methods and strategies for these landmarks are also delineated. Concurrently, the observable probability of each landmark is computed to generate a probability cloud, representing the usability of sea area landmarks. The proposed INS/CNS/SMN adaptive integrated navigation algorithm is simulated and validated across varied altitudes and trajectories in the sea area. The results show that CNS and SMN can dynamically assist INS in achieving prolonged and highly precise navigation.