Forward collision-preventing sonar neritic steady high-resolution azimuth estimating method

Abstract

The invention provides a forward collision-preventing sonar neritic steady high-resolution azimuth estimating method. According to the forward collision-preventing sonar neritic steady high-resolution azimuth estimating method, the vector optimization is combined with second-order cone programming; a source vector which is relevant with a neritic multi-path structure is decomposed; an uncertain set of the errors of the source vector is constructed; and the accurate azimuth estimation can be carried out on a target through carrying out effective array response constraint on elements in the uncertain set. By using the method provided by the invention, the neritic multi-path influence and uncertain environmental factors are adequately considered; a high-resolution azimuth estimating method is prevented from generating obvious performance decrement and a spectral peak splitting phenomenon in a neritic environment; the dependence on underwater environmental parameters is effectively overcome; the forward collision-preventing sonar neritic steady high-resolution azimuth estimating method has quite strong tolerance for uncertain factors such as channels, environments and the like; and the steadiness of a high-resolution algorithm is effectively improved.

Description

technical field [0001] The invention relates to an azimuth estimation method, in particular to a forward-looking collision avoidance sonar azimuth estimation method in shallow seas. Background technique [0002] Forward-looking collision avoidance sonar is one of the effective tools to ensure navigation safety. It can provide real-time spatial position information of obstacles in front of navigation: distance and azimuth. In the entire forward-looking collision avoidance sonar system, the array signal processing algorithm is the key technology, and the quality of the algorithm directly determines the performance of the entire sonar system. The existing array signal processing algorithms used in forward-looking collision avoidance sonar systems are mainly divided into two categories: conventional beamforming and high-resolution spatial spectrum estimation techniques. [0003] Conventional beamforming is a classic method for target azimuth estimation, and has been widely used...

AI Technical Summary

Problems solved by technology

However, in the shallow sea environment, these sonar systems have lost their navigation function. The fundamental reason is that in the shallow sea multi-path conditions, both the conventional beamforming method and the high-resolution spatial spectrum estimation technology will have a large deviation in azimuth estimation, and even Spectral peak splitting phenomenon, which limits the further application of forward-looking collision avoidance sonar in shallow sea environment

[0006] In order to accurately estimate the azimuth of shallow sea targets, it is essential to combine the law of sound propagation, so there have been a large number of methods for azimuth estimation combined with actual underwater acoustic channel characteristics. Although scholars have done a lot of research, most Shallow sea target orientation estimation methods face a common problem in practical applications: the robustness problem, which requires accurate acquisition of marine environment and channel parameter information (for example, the acoustic characteristics of the seabed sediment layer, the spatial variation characteristics of the seabed, the reflection coefficient of the seabed, Seawater sound velocity, seawater depth and other information), imprecise ocean environment and channel information will seriously degrade the performance of the algorithm, resulting in a large estimation deviation

However, in practical situations, only approximate values ​​of the underwater acoustic environment and channel parameters can be obtained, which will seriously affect the performance of the algorithm

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