An Improved Calculation Method of Shallow Sea Propagation Loss Prediction Model

A propagation loss and prediction model technology, applied in seismic signal processing and other directions, can solve the problems of limited prediction accuracy, poor prediction accuracy, poor prediction performance, etc., and achieve the effect of low calculation amount and wide engineering applicability

Active Publication Date: 2019-10-18
THE 715TH RES INST OF CHINA SHIPBUILDING IND CORP
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction accuracy of the M-S model is poor for any negative sound velocity gradient environment. At the same time, the M-S model lacks the description of the sea surface and sea bottom in the description of the propagation environment, and the smooth Rayleigh model is used in the description of the parameters of the sea surface and sea bottom reflection. This makes it poor in forecasting performance for environments with a certain seabed topographic structure, and the accuracy of the forecast is also limited.

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
  • An Improved Calculation Method of Shallow Sea Propagation Loss Prediction Model
  • An Improved Calculation Method of Shallow Sea Propagation Loss Prediction Model
  • An Improved Calculation Method of Shallow Sea Propagation Loss Prediction Model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The present invention will be described in detail below in conjunction with accompanying drawing:

[0019] The traditional M-S near-field shallow sea propagation loss prediction uses the bilinear gradient as the calculation basis for the three-level partition, and the specific prediction method is as follows:

[0020] Path area (R

[0021] TL=20log R +αR+60-k U (1)

[0022] Release area (H≤R≤8H)

[0023] TL=15log R +α L [(R c / H)-1]+αR+5log H +60-k U (2)

[0024] Single mode area (R>8H)

[0025] TL=10log R +α L [(R c / H)-1]+αR+10log H +64.5-k U (3)

[0026] in

[0027] H=(L+D / 3) 1 / 2 (4)

[0028] H is the span of refraction, L is the depth of the mixed layer, D is the water depth, R is the distance, α is the propagation attenuation coefficient, α L is the effective attenuation coefficient in the near field, K u is the near-field anomaly value.

[0029] Generally, the energy received in the near field is divided into three types, which are dir...

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 discloses an improved calculation method for a propagation loss prediction model of a shallow sea. The invention puts forward a novel calculation method based on a Marsh-Schulkin shallowsea propagation loss prediction model for near-field abnormal coefficients of seafloors with different slopes, so that sensitivity to seafloor absorption parameters is reduced and the estimation accuracy is improved. Because of influence on the near-field anomaly coefficient calculation by seafloor parameters, a novel extended calculation mode is provided according to differences of upper limit and lower limit accumulation of the near-field abnormality in terms of geometric propagation, so that the influence of calculating the near-field abnormality coefficient is corrected and thus the precision for calculation of any negative gradient, especially for upper and lower wedge landform calculation by an M-S calculation model is improved. The method is simple and is easy to implement and hasthe high applicability.

Description

technical field [0001] The invention relates to calculation of shallow sea rapid propagation loss model, and mainly relates to an improved calculation method of shallow sea propagation loss prediction model. Background technique [0002] The M-S hydrological propagation model has been widely used in engineering estimation because of its good and stable prediction ability in shallow sea environment. However, the prediction accuracy of the M-S model is poor for any negative sound velocity gradient environment. At the same time, the M-S model lacks the description of the sea surface and sea bottom in the description of the propagation environment, and the smooth Rayleigh model is used in the description of the parameters of the sea surface and sea bottom reflection. This makes it poor in forecasting performance for environments with a certain seabed topographic structure, and the accuracy of the forecast is also limited. Contents of the invention [0003] The purpose of the ...

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 Patents(China)
IPC IPC(8): G01V1/30
Inventor 李东洋丁烽杨洪涛
Owner THE 715TH RES INST OF CHINA SHIPBUILDING IND CORP
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap