Underwater Navigation Based on Real-Time Simultaneous Sound Speed Profile Correction |
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| Authors: | Kai Zhang Yong Li Jianhu Zhao Chris Rizos |
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| Institution: | 1. College of Geomatics, Shandong University of Science and Technology, Qingdao, China;2. University of New South Wales, Sydney, Australia;3. Wuhan University, Wuhan, China;4. University of New South Wales, Sydney, Australia;5. Wuhan University, Wuhan, China |
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| Abstract: | Precise sound speed profile (SSP) information is critical when using sonar for underwater terrain navigation. Nevertheless, acquiring SSP information in real-time is difficult, especially in underwater navigation environment. To account for this problem, this paper presents an underwater navigation method that applies real-time SSP correction to the terrain measurements. The method uses a probe to measure the surface sound speed simultaneously. Meanwhile, redundancy of topographic measurement data is exploited to derive the equivalent SSP information. The acquired equivalent SSP is updated continuously with particle filter algorithm. The terrain measurements can be corrected in real-time with the equivalent SSP to improve the performance of underwater terrain navigation. By removing the impact of inaccurate SSP from the terrain measurements, the proposed method can achieve precise and robust underwater navigation result without using an underway-profiling instrument. Simulated results confirm the good performance of the proposed method. |
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| Keywords: | Equivalent SSP particle filter terrain navigation underwater navigation |
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