Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm

A multi-feature fusion and underwater acoustic communication technology, which is applied in transmission noise suppression, shaping network in transmitter/receiver, transmission system, etc., can solve the problems of reducing the performance of underwater acoustic communication system and difficult suppression

Active Publication Date: 2018-11-06
HOHAI UNIV
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Compared with other user interference of target communication, the continuous wave interference caused by route ships and storms, the sound of marine life and the pulse interference caused by human construction in the ocean greatly reduce the performance of the underwater acoustic communication system
Although most of the interference can be effectively suppressed by the space-fast time adaptive processing algorithm, some interference cannot be directly processed by the space-fast time adaptive processing algorithm, such as pulse interference. The convergence of the adaptive algorithm is affected by the location of the pulse interference, and the suppression more difficult

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
  • Multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm
  • Multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm
  • Multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0197] The recognition and suppression performance of the multi-feature fusion cognitive underwater acoustic communication space-time adaptive processing algorithm for interference of the present invention is verified by computer simulation. In the MATLAB simulation, a user signal and three kinds of interference signals are set up. The user signal is modulated by binary phase shift keying (BPSK), and the three types of interference are pulse interference, noise frequency modulation interference and linear frequency sweep interference. The receiving array adopts a 16-element linear array, and the element spacing is half a wavelength. The beam forming beam of the array adopts 40dB Chebyshev weighting. The angles are -5°, 5° and 10° respectively, the interference-to-noise ratio in the channel is 30dB, the signal-to-noise ratio is -20dB, and the interference-to-signal ratio is 50dB. The threshold setting of interference multi-signature is shown in Table 2.

[0198]

[0199] Ta...

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 a multi-feature fusion cognitive underwater acoustic communication space-fast time adaptive processing algorithm. The algorithm includes the following steps: introducing an interference feature analysis-based interference cognitive function on the basis of a traditional space-fast time adaptive array processing algorithm; calculating the number of interference sources by using an array covariance matrix feature decomposition mode, and estimating the direction of a target user and the direction of interference incoming waves by adopting a MUSIC spatial spectrum analysismode; separating interference signals by using a negentropy maximized Fast-ICA based blind source separation algorithm, analyzing time domain features by using an envelope detection mode, analyzing the time-frequency spectrum by using a short-time Fourier transform mode, and further extracting interference features to identify interference types; and finally, selecting appropriate interference samples to perform space-fast time adaptive cancellation according to the interference types, and further improving the convergence speed of the adaptive algorithm. The beneficial effects are that: the dimensionality reduction processing and cancellation sample selection of the space-fast time adaptive algorithm can be realized, and the fast and reliable convergence of the space-fast time adaptive processing can be guaranteed.

Description

technical field [0001] The invention relates to a space-time adaptive processing algorithm for underwater acoustic communication, in particular to a multi-feature fusion cognitive space-time adaptive processing algorithm for underwater acoustic communication, which belongs to the technical field of underwater acoustic communication anti-jamming. Background technique [0002] Due to the serious attenuation of electromagnetic waves in water and the limited transmission distance, underwater acoustic communication technology has become an important means of ocean development and exploration and submarine communication. Shallow sea acoustic communication is faced with interference from many aspects. The common forms of interference in underwater acoustic communication are mainly noise frequency modulation interference, pulse interference and linear frequency sweep interference. Noise FM interference has the characteristics of wide bandwidth, uniform power spectrum and large inter...

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): H04B13/02H04B15/00H04L25/03
CPCH04B13/02H04B15/00H04L25/03012H04L25/03159
Inventor 王峰周易龚道银陈哲
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products