CN107222267A - A kind of bionical communication detecting method based on spheroidal wave function - Google Patents
A kind of bionical communication detecting method based on spheroidal wave function Download PDFInfo
- Publication number
- CN107222267A CN107222267A CN201710667288.1A CN201710667288A CN107222267A CN 107222267 A CN107222267 A CN 107222267A CN 201710667288 A CN201710667288 A CN 201710667288A CN 107222267 A CN107222267 A CN 107222267A
- Authority
- CN
- China
- Prior art keywords
- function
- communication
- bionical
- signal
- spheroidal wave
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B13/00—Transmission systems characterised by the medium used for transmission, not provided for in groups H04B3/00 - H04B11/00
- H04B13/02—Transmission systems in which the medium consists of the earth or a large mass of water thereon, e.g. earth telegraphy
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/7163—Spread spectrum techniques using impulse radio
- H04B1/717—Pulse-related aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B11/00—Transmission systems employing sonic, ultrasonic or infrasonic waves
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
A kind of bionical communication detecting method based on spheroidal wave function, is related to spheroidal wave function.1) it is fitted dolphin signal of communication by the use of spheroidal wave function (PSWF) and each rank function as basic function:2) extract the waveform envelope of dolphin signal of communication and calculate the extreme point of the waveform envelope;3) waveform between extreme point is extracted;4) multiple spheroidal wave functions are constructed and weighted fitting is carried out;5) obtain the correlation function of spheroidal wave function composite function and extreme point waveform and obtain and be most worth;6) iterative value is given, to step 4) and 5) compute repeatedly, the appropriate weightings value until obtaining impulse function group.And be applied in communication detecting integral system.Dolphin signal of communication is fitted using PSWF, the reliable bionical communication sequence waveform based on PSWF is designed, reaches the purpose of hidden information, bionical communication and the detection system of integration is thus built, improves the disguise and reliability of underwater sound communication.
Description
Technical field
The present invention relates to spheroidal wave function, more particularly, to a kind of bionical communication detecting for being based on spheroidal wave function (PSWF)
Method.
Background technology
As military project remote control under water, scheduling and implementation propose robustness, reliability and crypticity to underwater sound communication
Demand.Therefore, in the urgent need to being introduced into new mechanism and new technology to underwater sound communication, its safety currently still faced is solved
Sex chromosome mosaicism.
Underwater Acoustic Network is detected, especially for detecing under water in marine environmental monitoring, natural calamity early warning, harbour and offshore
Examine the management with operation colony, commander and have highly important effect in terms of debugging.During to prevent that Underwater Acoustic Network from working
It is listened between node exposure, non-friendly node access or node during interactive information, requires more next to concealed during subsurface communication
It is higher.
Current subsurface communication, undersea detection are mostly based on underwater sound signal.However, underwater sound signal is one extremely complex
Time-varying, frequency become and space-variant channel, and with the characteristic such as strong multipath, strong noise so that underwater acoustic channel is presently the most complicated
Radio communication channel.Facing to the underwater acoustic channel that marine environment is complicated, part scientists are contemplated with reference to dolphin, whale etc.
Communicated by the underwater sound, position and target identification marine organisms, imitate their some mechanism and function, solve underwater sound work
The problem of being run into journey.
Bionical communication is a kind of method that hidden underwater sound communication is usually taken, the method with traditional simple reduction signal to noise ratio
Difference, bionical communication is to make modulation waveform using the signal of naturally occurring in Underwater Acoustic Environment, and this signal can be selected in ocean
The sound that the mammals such as common dolphin, whale send.They detect environment and the information interchange of surrounding using acoustical signal.
Later, research found that the fatty jut on these marine mammal head foreheads can send the ultrasonic signal of high frequency, entered
Row echolocation.Bionical covert communications are to be used as information carrier using whale cry signal intrinsic in ocean, it is allowed to communication letter
Number it is detected, but is taken as seanoise during the identification of outside and excludes, reaches the effect of covert communications.
The content of the invention
The technical problems to be solved by the invention are in the underwater sound communication channel of complexity to be based on ellipsoid ripple letter there is provided one kind
Several bionical communication detecting methods.
The present invention comprises the following steps:
1) it is fitted dolphin signal of communication by the use of spheroidal wave function (PSWF) and each rank function as basic function:
2) extract the waveform envelope of dolphin signal of communication and calculate the extreme point of the waveform envelope;
3) waveform between extreme point is extracted;
4) multiple spheroidal wave functions are constructed and weighted fitting is carried out;
5) obtain the correlation function of spheroidal wave function composite function and extreme point waveform and obtain and be most worth;
6) iterative value is given, to step 4) and 5) compute repeatedly, add until obtaining the suitable of impulse function group
Weights.
The dolphin signal of communication pulse envelope has certain similitude with spheroidal wave function and each rank function, with ellipsoid
Wave function and each rank function are that basic function is fitted bionical dolphin signal of communication, can reconstruct dolphin signal of communication.
Need to analyze spheroidal wave function and each rank function, ellipsoid ripple can be used during bionical signal is fitted
Function and each rank derived function, can will need the modulates information sent in above waveform, reach the purpose of covert communications detection.
From the auto-correlation and cross-correlation function characteristic for providing spheroidal wave function as can be seen that autocorrelation is stronger and cross-correlation
It is weaker, so as to preferably fit bionical signal, and analyze the performance of bionical signal, it is ensured that bionical signal can be used for leading to
Believe the transmission and detection of signal.
The present invention proposes the bionical communication detecting technology based on PSWF, first passes through simulation dolphin signal of communication, researchs and analyses
Dolphin signal of communication feature, using PSWF as the basic function of fitting dolphin signal of communication, is designed reliable imitative based on PSWF
Raw signal of communication, reaches the purpose of hidden information, thus builds bionical communication and the detection system of integration.It is being fitted bionical letter
PSWF and each rank derived function can be used during number, can will need the modulates information sent in above waveform, reach hidden
Cover the purpose of communication detecting.The present invention compares more traditional carrying information mode based on delay inequality, adds the information of carrying
Amount, improves the flexibility of coding.
The present invention proposes a kind of bionical communication plan based on PSWF, according to the characteristics of whale globefish signal, by PSWF and respectively
Rank Function Fitting dolphin signal of communication, controls certain error range, makes the original dolphin signal of communication of fitted signal infinite approach,
During communication, the bionical signal can be detected, but marine biological noise can be taken as during identification
Exclude, the effect of covert communications can be reached.
The beneficial effects of the invention are as follows:The present invention proposes the bionical signal of communication based on PSWF, and is applied to communication detecting
In integral system.Dolphin signal of communication is fitted using PSWF, the reliable bionical communication sequence ripple based on PSWF is designed
Shape, reaches the purpose of hidden information, thus builds bionical communication and the detection system of integration, improves the disguise of underwater sound communication
And reliability.
Brief description of the drawings
Fig. 1 is the flow chart based on PSWF and each bionical signal of rank construction of function of the invention;
Fig. 2 for the present invention in dolphin signal of communication time-domain analysis figure;
Fig. 3 for the present invention in dolphin signal of communication frequency-domain analysis figure;
Fig. 4 is 1 rank PSWF time domain waveforms of the invention;
Fig. 5 is 2 rank PSWF time domain waveforms of the invention;
Fig. 6 is 3 rank PSWF time domain waveforms of the invention;
Fig. 7 is 4 rank PSWF time domain waveforms of the invention;
Fig. 8 is PSWF autocorrelation performance figures of the invention;
Fig. 9 is PSWF and 2 rank function cross correlation figures of the invention;
Figure 10 is PSWF and 3 rank function cross correlation figures of the invention;
Figure 11 is PSWF and 4 rank function cross correlation figures of the invention.
Embodiment
For the purpose of the present invention, scheme and advantage is more clearly understood, below in conjunction with specific implementation, and referring to the drawings,
The invention will be further described.
Fig. 1 show the flow chart based on PSWF and each bionical signal of rank construction of function, and the purpose of the present invention is to utilize
PSWF and dolphin signal of communication similitude, bionical dolphin signal of communication is fitted using PSWF and each rank function as basic function,
During communication, seanoise exclusion is taken as during the identification of outside.It can be used during bionical signal is fitted
To PSWF and each rank derived function, it can will need the modulates information sent in above waveform, reach the mesh of covert communications detection
's.This method compares more traditional carrying information mode based on delay inequality, adds the information content of carrying, improves coding
Flexibility.
Specific implementation process is as follows:
The first step:Extract the waveform envelope of dolphin signal of communication and calculate the extreme point of the envelope;
Second step:Extract the waveform between extreme point;
3rd step:Construct multiple PSWF and carry out weighted fitting;
4th step:Obtain the correlation function of PSWF composite functions and extreme point waveform and obtain and be most worth;
5th step:A suitable iterative value is given, the 3rd step and the 4th step are computed repeatedly, until obtaining pulse
The appropriate weightings value of group of functions.
Bionical signal is constructed by the above method, analyzes the noiseproof feature of the signal to guarantee to be normally carried out to lead to
Letter.
It is respectively time domain, the frequency-domain analysis figure of dolphin signal of communication shown in Fig. 2 and 3.If carried out to dolphin signal of communication
Fitting, it is necessary first to which dolphin positioning signal is decomposed into independent signal of communication pulse.By observation it can be found that train of pulse
The characteristics of envelope has similar, therefore only need to calculate the envelope of communication signal bursts, it is possible to fit dolphin communication
Signal.
Dolphin signal of communication pulse envelope has certain similitude with PSWF and each rank function, with PSWF and each rank function
Bionical dolphin signal of communication is fitted for basic function, dolphin signal of communication can be reconstructed.
Fig. 4~7 show PSWF and each rank time domain beamformer.Bionical dolphin signal of communication is fitted, it is necessary to right based on PSWF
PSWF and each rank function are analyzed.
PSWF is frequency domain band limit and the duration is the optimal signal form of the time domain energy aggregation of a code element.Use ψn
(c, t) represents n rank spheroidal wave functions, wherein, c=TsΩ, ψn(c,t)∈[-Ts/2,Ts/ 2], Ω is the bandwidth of function, PSWF
Definitions On Integration such as following formula:
Wherein, λn(c) intensity of the spheroidal wave function on frequency domain is represented.
PSWF is not only the function of time, while also being controlled by time-frequency combination parameter c, utilizes this characteristic, Ke Yitong
Tuning function parameter is crossed to realize frequency spectrum shift and the bandwidth control of pulse.
Meanwhile, PSWF is the feature letter corresponding to the differential operator produced as Helmholz equations in prolate elliptical coordinate system
Count, its equation is:
(1-t2)ψ”(t)-2tψ'(t)+(χj-c2t2) ψ (t)=0 (2)
The differential form that can obtain PSWF by above formula is:
Fig. 8~11 show PSWF auto-correlations and the cross correlation figure with each rank function.Preceding four are analyzed in the present invention
The oscillogram (shown in Fig. 4~7) of rank function, it can be seen that changing crest frequency by changing order, it is possible to achieve
Frequency spectrum is moved.PSWF auto-correlation and cross-correlation function characteristic are provided in figure as can be seen that autocorrelation is stronger and cross-correlation
It is weaker, so as to preferably fit bionical signal.
In a practical situation, individual pulse can not preferably fit complete bionical letter due to carrying Limited information
Number, by setting weights to construct the linear combination of multiple PSWF and its each rank function in the present invention, with PSWF and each rank letter
Number obtains suitable weights by the method for iteration, constructs the bionical signal of more approaching to reality effect as substrate.
The present invention proposes the bionical signal of communication based on PSWF, and is applied in communication detecting integral system.Utilize
PSWF is fitted dolphin signal of communication, designs reliable bionical communication sequence waveform based on PSWF and each rank function, reaches
The purpose of hidden information, thus builds bionical communication and the detection system of integration, improves the disguised and reliable of underwater sound communication
Property.
Above content is specific preferred embodiment further description made for the present invention, it is impossible to assert this hair
Bright embodiment is confined to these explanations, and the present invention deploys by taking dolphin signal of communication as an example, and for whale, shark etc.
The bionical Communication Studies of marine organisms, and bat class can carry the biology of information.
Claims (3)
1. a kind of bionical communication detecting method based on spheroidal wave function, it is characterised in that comprise the following steps:
1) it is fitted dolphin signal of communication by the use of spheroidal wave function and each rank function as basic function:
2) extract the waveform envelope of dolphin signal of communication and calculate the extreme point of the waveform envelope;
3) waveform between extreme point is extracted;
4) multiple spheroidal wave functions are constructed and weighted fitting is carried out;
5) obtain the correlation function of spheroidal wave function composite function and extreme point waveform and obtain and be most worth;
6) iterative value is given, to step 4) and 5) compute repeatedly, the appropriate weightings value until obtaining impulse function group.
2. a kind of bionical communication detecting method based on spheroidal wave function as claimed in claim 1, it is characterised in that the dolphin
Signal of communication pulse envelope has similitude with spheroidal wave function and each rank function, using spheroidal wave function and each rank function as base letter
The bionical dolphin signal of communication of number fitting, reconstructs dolphin signal of communication.
3. a kind of bionical communication detecting method based on spheroidal wave function as claimed in claim 1, it is characterised in that to ellipsoid
Wave function and each rank function are analyzed, and spheroidal wave function and each rank derived function are used during bionical signal is fitted.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110800802.0A CN113364531B (en) | 2017-08-07 | 2017-08-07 | Bionic communication detection method based on ellipsoid wave function |
CN201710667288.1A CN107222267A (en) | 2017-08-07 | 2017-08-07 | A kind of bionical communication detecting method based on spheroidal wave function |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710667288.1A CN107222267A (en) | 2017-08-07 | 2017-08-07 | A kind of bionical communication detecting method based on spheroidal wave function |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110800802.0A Division CN113364531B (en) | 2017-08-07 | 2017-08-07 | Bionic communication detection method based on ellipsoid wave function |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107222267A true CN107222267A (en) | 2017-09-29 |
Family
ID=59953780
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110800802.0A Active CN113364531B (en) | 2017-08-07 | 2017-08-07 | Bionic communication detection method based on ellipsoid wave function |
CN201710667288.1A Pending CN107222267A (en) | 2017-08-07 | 2017-08-07 | A kind of bionical communication detecting method based on spheroidal wave function |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110800802.0A Active CN113364531B (en) | 2017-08-07 | 2017-08-07 | Bionic communication detection method based on ellipsoid wave function |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN113364531B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106789794A (en) * | 2016-11-30 | 2017-05-31 | 厦门大学 | A kind of bionical communication means of utilization dolphin signal of communication frequency modulation modulation |
CN107332642A (en) * | 2017-07-11 | 2017-11-07 | 厦门声戎科技有限公司 | The low probability of intercept waveform design method synthesized based on ocean mammal signal |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140169130A1 (en) * | 2012-12-13 | 2014-06-19 | Schlumberger Technology Corporation | Methods and Apparatus for Waveform Processing |
CN106503336B (en) * | 2016-10-21 | 2019-09-27 | 哈尔滨工程大学 | A kind of modeling of dolphin ticktack acoustical signal and synthetic method |
-
2017
- 2017-08-07 CN CN202110800802.0A patent/CN113364531B/en active Active
- 2017-08-07 CN CN201710667288.1A patent/CN107222267A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106789794A (en) * | 2016-11-30 | 2017-05-31 | 厦门大学 | A kind of bionical communication means of utilization dolphin signal of communication frequency modulation modulation |
CN107332642A (en) * | 2017-07-11 | 2017-11-07 | 厦门声戎科技有限公司 | The low probability of intercept waveform design method synthesized based on ocean mammal signal |
Non-Patent Citations (1)
Title |
---|
张晓冬: "基于脊提取的信号表示和重建", 《中国优秀博硕士学位论文全文数据库 (博士)(信息科技辑)》 * |
Also Published As
Publication number | Publication date |
---|---|
CN113364531B (en) | 2023-01-10 |
CN113364531A (en) | 2021-09-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jia-jia et al. | Bio-inspired steganography for secure underwater acoustic communications | |
CN106503336B (en) | A kind of modeling of dolphin ticktack acoustical signal and synthetic method | |
CN105391500A (en) | Dolphin click simulating underwater acoustic communication method based on ultra-wideband signal | |
CN110398743A (en) | A kind of continuous wave active sonar target echo detection method | |
Liu et al. | Covert underwater acoustic communication using whale noise masking on DSSS signal | |
Jiang et al. | Covert underwater communication based on combined encoding of diverse time-frequency characteristics of sperm whale clicks | |
EP2117140A1 (en) | A method of covertly transmitting information, a method of recapturing covertly transmitted information, a sonar transmitting unit, a sonar receiving unit and a computer program product for covertly transmitting information and a computer program product for recapturing covertly transmitted information | |
Qiao et al. | A frequency hopping pattern inspired bionic underwater acoustic communication | |
CN107769862A (en) | A kind of bionical low communication interception method | |
Liu et al. | Bionic communication by dolphin whistle with continuous-phase based on MSK modulation | |
Wang et al. | IAFNet: Few-shot learning for modulation recognition in underwater impulsive noise | |
Jiang et al. | A sonar-embedded disguised communication strategy by combining sonar waveforms and whale call pulses for underwater sensor platforms | |
Jia et al. | Bionic camouflage underwater acoustic communication based on sea lion sounds | |
CN110247714B (en) | Bionic hidden underwater acoustic communication coding method and device integrating camouflage and encryption | |
CN107332642B (en) | Low probability of intercept waveform design method based on the synthesis of ocean mammal signal | |
CN110346802A (en) | Based on the Underwater Target Detection method for calculating underwater acoustic channel parameter | |
CN107222267A (en) | A kind of bionical communication detecting method based on spheroidal wave function | |
Li et al. | Bionic covert underwater communication focusing on the overlapping of whistles and clicks generated by different cetacean individuals | |
Li et al. | Research of new concept sonar-cognitive sonar | |
CN106595835B (en) | A kind of acoustic marker method for extracting signal and system based on staggered superposition algorithm | |
McCauley et al. | Regional variations and trends in ambient noise: examples from Australian waters | |
CN114330441A (en) | Underwater sound JANUS signal identification method and system based on time-frequency spectrum and transfer learning | |
Jiang et al. | Camouflage covert communication in air by imitating Cricket’s sound | |
Yu et al. | Rational-orthogonal-wavelet-based active sonar pulse and detector design | |
Jiang et al. | Recognition method for the bionic camouflage click communication trains modulated by time delay difference |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170929 |
|
RJ01 | Rejection of invention patent application after publication |