Deep sea weak multi-target depth long-time cumulative estimation method

A technology of accumulation estimation and target depth, which is applied in the fields of hydroacoustic engineering, ocean engineering and sonar technology, and can solve problems such as the inability to effectively achieve long-term coherent accumulation.

Active Publication Date: 2019-03-08
NORTHWESTERN POLYTECHNICAL UNIV
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to avoid the deficiencies of the prior art, the present invention proposes a deep-sea weak multi-target depth long-term accumulation estimation method, which overcomes the fact that the existing target depth estimation method cannot effectively achieve long-term coherent accumulation in the actual low signal-to-noise ratio environment shortcoming

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Deep sea weak multi-target depth long-time cumulative estimation method
  • Deep sea weak multi-target depth long-time cumulative estimation method
  • Deep sea weak multi-target depth long-time cumulative estimation method

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment

[0113] refer to figure 1 . Underwater acoustic channel modeling: the sound velocity profile of the simulation environment is a typical Munk sound velocity profile, the sea depth of the simulation environment is 5000m, the critical depth is 4000m, the seabed parameters are sound velocity 1650m / s, density 1.62g / cm 3 , the absorption loss is 0.08dB / λ, where λ is the wavelength. The receiving array is a 16-element synchronous vertical line array, the array element spacing is 5m, and the depth of the array center is 4200m.

[0114] refer to figure 2 . Modeling of target movement: the horizontal distance of the three underwater targets from the vertical array is always the same, and they move from far to near at the same time. The depths of the three targets were 15m, 50m and 55m, and remained constant throughout. At 22km (point A) the vertical array detects the target and starts to accumulate the two-dimensional power map; the horizontal distance from the sound source to the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a deep sea weak multi-target depth long-time cumulative estimation method which comprises the following steps: firstly, obtaining arrival angle information of a signal on a vertical array, obtaining a power spectrum output by a beam and a two-dimensional power diagram output by the beam containing interference fringe information related to a target depth; carrying out coherent matching on the two-dimensional power diagram and a theoretical value of the interference fringe track, and extracting characteristic parameters related to the assumed target depth; determining the number and the depth of the targets according to the distribution of the characteristic parameters. Compared with the traditional numerical method based on the ray model, the method has the advantages that the calculation amount is greatly reduced; the two-dimensional stripe track reflects the correlation characteristic of signals in a period of time, and the matching with the two-dimensional power diagram outputted by the beam is a long-time coherent accumulation; the traditional time delay matching method carries out non-coherent accumulation after segmenting data, so the method is suitable for environments with lower signal-to-noise ratio, and the precision is higher.

Description

technical field [0001] The invention belongs to the fields of underwater acoustic engineering, marine engineering, sonar technology, etc., and relates to a long-term accumulation estimation method for weak multi-target depths in the deep sea. The long-term accumulation method of multi-target depth estimation is suitable for the precise estimation of the depth of single or multiple broadband moving targets under the condition of extremely low signal-to-noise ratio in the deep sea environment. Background technique [0002] In the deep sea environment, the direct wave (including the sea surface reflection wave when the sea condition is good) propagating from the near-sea surface target to the large-depth receiving point is less affected by the characteristics of the water body and the bottom of the sea, the propagation loss is small, and the signal is stable, so it is considered to be Reliable, called reliable acoustic path. Through reliable acoustic path propagation, a receiv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/539
CPCG01S7/539
Inventor 段睿杨坤德郭玥王宁
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products