Underwater signal time-frequency endpoint parameter estimation method based on constant false alarm detection

A technology of constant false alarm detection and underwater signal, which is applied in the field of underwater acoustic signal detection, parameter estimation, analysis and processing, and underwater acoustic signal time-frequency endpoint parameter estimation. Endpoint parameter estimation system and other issues to achieve the effect of high detection probability

Active Publication Date: 2018-11-30
NORTHWESTERN POLYTECHNICAL UNIV
View PDF12 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (1) The commonly used threshold-based method for estimating the time endpoint parameters of speech signals, the estimation results are greatly affected by the signal-to-noise ratio
[0008] (2) The commonly used method for estimating the time endpoint parameters of speech signals based on pattern matching needs to know the prior information of the signal to be detected, which is not suitable for the endpoint parameter estimation system under unknown conditions

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
  • Underwater signal time-frequency endpoint parameter estimation method based on constant false alarm detection
  • Underwater signal time-frequency endpoint parameter estimation method based on constant false alarm detection
  • Underwater signal time-frequency endpoint parameter estimation method based on constant false alarm detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0091] 1) Read the data and process the data in frames.

[0092] Assume that x(n) is the received data and its number of points is f s *T, where f s is the data sampling frequency, and T is the duration of receiving data. If from T 1 The data starting at the moment is intercepted in the time domain, and the interception length is t, for example, t is 10 seconds. The obtained time-domain intercepted signal is

[0093] x'(n)=x(T 1 *f s +n)(0≤ns )

[0094] 2) Perform frequency band processing on the framed data

[0095]In the present invention, it is necessary to divide the signal into frequency bands according to the frequency range information of the underwater acoustic signal and the underwater acoustic experimental data, and use non-equally spaced frequency bandwidth to divide and analyze the signal. When dividing the frequency bandwidth at non-equal intervals, the frequency band division of the low frequency part is narrow (≤5KHz), and the frequency band division of ...

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 an underwater signal time-frequency endpoint parameter estimation method based on constant false alarm detection. On the basis of carrying out framing and band division processing on a signal, time-frequency transformation is carried out on the signal, on the basis, the constant false alarm detection is carried out on the signal, frequency marginal spectrum and time marginal spectrum of the detection result are calculated and judgment is carried out, so frequency and time endpoint estimation results of the signal can be obtained. According to the method, time and frequency endpoints of the signal can be estimated at the same time. Compared with a traditional method, the method has the advantages that higher detection probability is achieved. Information difficult to discover in a sonogram can be extracted, so corresponding target information is obtained. Prior information is not required in a detection process. Large scale data training is avoided. The method is applicable to an endpoint parameter estimation system under an known condition.

Description

technical field [0001] The invention belongs to the field of sonar signal processing, and particularly relates to underwater acoustic signal detection and parameter estimation analysis and processing. A method for estimating parameters of time-frequency endpoints of underwater acoustic signals based on constant false alarm detection is proposed, which is used for underwater target detection, underwater acoustic Provide relevant parameters for test data analysis, target recognition and classification, etc. Background technique [0002] With the rapid development of the field of underwater acoustics, the detection and analysis of underwater acoustic signals has become one of the issues that experts in this field are increasingly concerned about. There are a wide variety of signals in the ocean, such as underwater acoustic communication signals, sonar detection signals, navigation signals, ship radiation noise, marine biological calls, and sound waves generated by marine geolog...

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 冯西安解宇英张杨梅
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

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