Underwater target detection method based on full tensor gravity gradient inversion

Abstract

The invention discloses an underwater target detection method based on full tensor gravity gradient inversion, specifically comprising the following steps: (1) storing the full tensor gravity gradient reference map in the activity water area in advance; (2) adopting a gravity gradient sensor on an underwater vehicle to measure the activity water area in real time to obtain the gravity gradient signal measured in real time, comparing the obtained gravity gradient signal measured in real time with the full tensor gravity gradient reference map stored in advance to obtain anomaly of the full tensor gravity gradient caused by the target; (3) inversing the anomaly of the full tensor gravity gradient and computing the directionality parameter and the quality of the target; and (4) computing the position of the target by integrating the computed quality and directionality parameter of the target to complete underwater target detection. Compared with other detection methods, the underwater target detection method has the typical characteristics of safe concealment, accuracy, effectiveness, real passivity and autonomy, etc, is especially suitable for underwater vehicles, greatly reduces manual intervention, consumes less time and improves the detection accuracy.

Description

technical field [0001] The invention relates to an underwater target detection method, which is applicable to the technical field of underwater target detection, and can also be used for underwater submersibles to detect targets near the water surface. Background technique [0002] Accurate underwater navigation is the basic guarantee for long-term underwater safe navigation of underwater vehicles. Timely and comprehensive detection of obstacles and hostile targets is an important part of underwater navigation, which can effectively guarantee the safety and concealment of submersibles. The targets that need to be detected include underwater targets such as submarine mountains, enemy submarines, reefs, sunken ships or mines, surface targets such as surface ships, and targets near the surface of the water such as enemy anti-submarine helicopters or anti-submarine aircraft. [0003] According to statistics, since the 20th century, nearly 500 non-wartime average accidents have o...

AI Technical Summary

Problems solved by technology

[0006] The traditional gravity gradient inversion method often only uses one or several components of the gravity gradient tensor, which takes a long time, requires more manual intervention, and the accuracy is difficult to meet the requirements of target detection

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