CN110082818A - A kind of ship noise robust identification method - Google Patents

A kind of ship noise robust identification method Download PDF

Info

Publication number
CN110082818A
CN110082818A CN201910367690.7A CN201910367690A CN110082818A CN 110082818 A CN110082818 A CN 110082818A CN 201910367690 A CN201910367690 A CN 201910367690A CN 110082818 A CN110082818 A CN 110082818A
Authority
CN
China
Prior art keywords
ship
signal
noise
thresholding
modulation
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.)
Granted
Application number
CN201910367690.7A
Other languages
Chinese (zh)
Other versions
CN110082818B (en
Inventor
刘宗伟
吕连港
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
First Institute of Oceanography MNR
Original Assignee
First Institute of Oceanography MNR
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by First Institute of Oceanography MNR filed Critical First Institute of Oceanography MNR
Priority to CN201910367690.7A priority Critical patent/CN110082818B/en
Publication of CN110082818A publication Critical patent/CN110082818A/en
Application granted granted Critical
Publication of CN110082818B publication Critical patent/CN110082818B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting

Abstract

The present invention relates to a kind of steady ship noise recognition methods, belong to ocean field of signal processing, the steps include: first to be standardized the signal of extraction, and then obtain the modulation spectrum of signal using filter and Fourier transformation combined treatment.Secondly, calculating modulation conspicuousness statistic, the calculation method of the statistic is the value of the maximum spectral line of amplitude in modulation spectrum divided by the average amplitude of modulation spectrum.Finally will modulation conspicuousness statistic with thresholding compared with, then think there is ship appearance if it is greater than thresholding, if a period of time it is interior continuously less than thresholding if think around without ship.Present invention utilizes this more stable physical quantitys of the modulating characteristic of ship noise, and compared to using signal power detection ship noise more steady, anti-interference is stronger.

Description

A kind of ship noise robust identification method
Technical field
The invention belongs to Yu Haiyang's field of signal processing, are related to a kind of ship noise robust identification method.
Background technique
The wind speed on sea and rainfall can be obtained by undersea noise inverting, this is the observation of ocean surface wind speed and rainfall Provide a kind of new means.Noise in ocean is also influenced by ship around and mammal etc., Wind Speed Inversion and rainfall It needs first to identify noise source before.The cry of mammal has transient state, is easier to distinguish.Surrounding ship occurs When, the overall power level of ambient sea noise can improve, and whether may determine that surrounding accordingly with the presence of ship, this is also current Common method.But this method also has its disadvantage: this method needs to be arranged the power inspection in some prior frequency range Thresholding is surveyed, when noise power is more than detection threshold, it is believed that surrounding ship occur.This detection threshold is more difficult in practice to be obtained It takes, has relationship with hydrophone sensitivity and ambient noise present level.Even if tracking current environment using adaptive method Noise level, it is also possible to occur by wind speed increase and caused by noise level be lifted, be mistaken for the possibility of ship around.
Summary of the invention
For the presence for overcoming the problems, such as existing system, the present invention provides a kind of ship noise robust identification methods.This method Steady identification is realized with the modulating characteristic of ship noise.
The present invention solve method used by its technical problem the following steps are included:
A kind of ship noise robust identification method, the described method comprises the following steps:
The first step, obtains one section of noise signal s that total length is T, and normalized operation obtains standardized noise letter Number st
Further, the step of normalizing operation is the DC component of removing signal first: st1=s-mean (s), Wherein mean () expression takes averaging operation, then by the power normalization of signal: st=st1/std(st1), wherein std () is indicated Standard deviation is taken to operate;
Second step, to signal stExecute bandpass filtering operation: sd1=filterbandpass(st), the frequency range of bandpass filtering is 3000Hz-5000Hz, then to square execution low-pass filtering of signal:Low-pass filtering Upper limiting frequency is 200Hz, executes remove signal DC operation: s againd=sd2-mean(sd2);
Third step, to signal sdFrequency spectrum P (f) is obtained using Fast Fourier Transform (FFT) (FFT), in 0.5Hz-200Hz range Inside seek modulation conspicuousness statisticWherein max () expression is maximized operation;
4th step is set by modulation conspicuousness statistic T compared with thresholding D if modulation conspicuousness statistic T is more than or equal to The thresholding D set, it is considered that surrounding is with the presence of ship;If continuously less than the thresholding D of setting in the period W of setting, that Think around without ship.
Further, the setting method of the thresholding D are as follows: one section of noise signal when calculating separately ship and without ship Modulate conspicuousness statistic T1(t) and T0(t), the value of thresholding D should ensure that at any time, D > T0(t), while in 85-95% Time D < T1(t)。
Compared with the prior art, the invention has the advantages that:
The method of the present invention has used this more stable physical mechanism of the modulating characteristic of ship noise, can be more accurate It identifies whether surrounding has ship appearance with stable, and then can be conducive to reject ship interference, so that utilizing marine environment Noise Wind Speed Inversion and rainfall are more accurate.
Detailed description of the invention
Fig. 1 is ship noise modulation spectrogram;
Fig. 2 is wind or rainfall seanoise modulation spectrogram;
Fig. 3 is the method for the present invention step schematic diagram;
Fig. 4 has ship time noise signal and the method for the present invention processing result figure around being;
Fig. 5 is around without ship time noise signal and the method for the present invention processing result figure;
In figure, Fig. 4 (a) has ship time noise time-domain signal, and Fig. 4 (b) modulates conspicuousness statistic compared with thresholding, Fig. 4 (c) Ship identification result;Fig. 5 (a) is without ship time noise time-domain signal, and Fig. 5 (b) modulates conspicuousness statistic compared with thresholding, Fig. 5 (c) Ship identification result.
Specific embodiment
Technical solution of the present invention is further explained below by embodiment, but protection scope of the present invention not by The limitation of embodiment in any form.
Embodiment 1
For inverting ocean surface wind speed and the hydrophone of rainfall generally to be laid on subsurface buoy, buoy, Argo and water from capacitance type On the platforms such as lower aerodone.The influence of the vibration and noise of platform to hydrophone should be considered when laying.Under normal circumstances Platform should carry out vibration and noise reducing work, including main floating body airflow design, change and shackle junction use rubber vibration isolation etc.. Furthermore generally it is connected by spring or elastic thread between hydrophone and platform, isolation platform vibration.
When having ship to pass through around hydrophone, the noise of ship can be received by hydrophone, if without effective Identification and rejecting, can bring biggish error to ambient noise Wind Speed Inversion and rainfall result.The noise of ship compares in addition to itself Environmental background noise power is high outer, there are one being significantly characterized in, the modulating action of the rotation of propeller to it.When surrounding has When ship, hydrophone receives signal and can be described by following formula: Wherein, vc(t) bring cavitation noise, v are rotated for propelleraIt (t) is ambient noise, ωsFor the rotation angular frequency of rotor shaft Rate, miFor the index of modulation of i subharmonic modulation product, θsIt (t) is phase modulation, K is overtone order.It makes an uproar as shown in Figure 1 for ship The modulation spectrogram of sound, it can be seen that have an apparent modulation spectral line in 12.8Hz.
The modulation signature of sea surface wind or rainfall bring noise not as ship noise, be illustrated in figure 2 wind or The modulation spectrogram of rainfall seanoise, compared to Fig. 1 it can be seen that modulating characteristic is weaker in the signal of analysis.
In summary it analyzes, the invention proposes a kind of steady ship noise recognition methods, and the method define modulation Conspicuousness statistic, the calculation method of the statistic are value being averaged divided by modulation spectrum of the maximum spectral line of amplitude in modulation spectrum Amplitude, furthermore signal amplitude generates interference to calculated result in order to prevent, is standardized first before signal processing.
Specific operating procedure (see Fig. 3) includes: firstly, one section of noise signal s that acquisition total length is T, executes standard Change operation and obtains standardized noise signal st.The size of T is traditionally arranged to be 10 seconds.The step of normalizing operation is to remove first The DC component of signal: st1=s-mean (s), wherein mean () expression takes averaging operation, then by the power normalizing of signal Change: st=st1/std(st1), wherein std () expression takes standard deviation to operate.Secondly, to signal stExecute bandpass filtering operation: sd1 =filterbandpass(st), the frequency range of bandpass filtering is 3000Hz-5000Hz, and the modulation of ship noise is special in this frequency range Property is more obvious, this is also the frequency range that cavitation noise is more concentrated.Then to signal sd1Square execute low-pass filtering: The upper limiting frequency of low-pass filtering is 200Hz.It executes again and removes signal DC operation: sd=sd2- mean(sd2).Third step, to signal sdFrequency spectrum P (f) is obtained using Fast Fourier Transform (FFT) (FFT), this has just obtained signal Modulation spectrum.Modulation conspicuousness statistic is sought within the scope of 0.5Hz-200HzIts Middle max () indicates to be maximized operation.Finally, by modulation conspicuousness statistic T compared with thresholding D, if modulation conspicuousness system The thresholding D that T is more than or equal to setting is measured, it is considered that surrounding is with the presence of ship;If in the period W of setting continuously less than The thresholding D of setting, it is considered that surrounding does not have ship.
The present invention is described in detail combined with specific embodiments below.
Embodiment 1
When having ship to pass through around, noise signal is obtained using hydrophone measurement, time domain waveform is shown in Fig. 4 (a), can be with See that time domain waveform amplitude occurs one by small and big again by large and small process, shows have a ship at hydrophone It is again separate.If judged from signal amplitude (representing noise power size) merely, at the beginning and end of ship noise is specific Between more difficult determination.Modulation conspicuousness statistic is calculated using the method for the present invention to obtain as shown in Fig. 4 (b) as a result, wherein dotted line is Thresholding, value 20, solid line are that modulation conspicuousness counts magnitude.It can be seen that modulating conspicuousness statistic near the 200th second Value starts to be greater than 20.In the subsequent time, modulation conspicuousness statistic has respective time less than 20, and this is mainly due to ships to make an uproar The variation of sound itself and ocean channel causes.It is respectively less than 20 within the time of period W=120 second of setting and just thinks ship It is separate, therefore respective time modulation conspicuousness statistic is less than available effective solution of setting threshold value.Fig. 4 (c) is provided Ship identification is as a result, wherein 0 indicate no ship, 1 indicate ship appearance.It can be seen that the technology of the present invention method is to ship Noise has carried out effective identification.
Embodiment 2
Without ship time around, ambient sea noise time domain plethysmographic signal is shown in Fig. 5 (a).It is calculated and is modulated using the method for the present invention Conspicuousness statistic is obtained as shown in Fig. 5 (b) as a result, wherein dotted line is thresholding, and value 20, solid line is modulation conspicuousness statistics Magnitude.It can be seen that modulation conspicuousness statistics magnitude is not above thresholding in whole noise signal time, it is consistent with expection It closes.Fig. 5 (c) gives recognition result, and output is 0, shows that no ship occurs.Further demonstrate the method for the present invention.

Claims (3)

1. a kind of ship noise robust identification method, it is characterised in that the described method comprises the following steps:
The first step, obtains one section of noise signal s that total length is T, and normalized operation obtains standardized noise signal st
Second step, to signal stExecute bandpass filtering operation: sd1=filterbandpass(st), the frequency range of bandpass filtering is 3000Hz-5000Hz, then to square execution low-pass filtering of signal:Low-pass filtering Upper limiting frequency is 200Hz, executes remove signal DC operation: s againd=sd2-mean(sd2);
Third step, to signal sdFrequency spectrum P (f) is obtained using Fast Fourier Transform (FFT) (FFT), tune is sought within the scope of 0.5Hz-200Hz Conspicuousness statistic T=max processed0.5≤f≤200(P)/mean0.5≤f≤200(P);
4th step, by modulation conspicuousness statistic T compared with thresholding D, if modulation conspicuousness statistic T is more than or equal to setting Thresholding D, it is considered that surrounding is with the presence of ship;If recognized in the period W of setting continuously less than the thresholding D of setting There is no ship for surrounding.
2. a kind of ship noise robust identification method according to claim 1, it is characterised in that the normalizing operation The step of for the DC component of removing signal first: st1=s-mean (s), wherein mean () expression take averaging operation, then will The power normalization of signal: st=st1/std(st1), wherein std () expression takes standard deviation to operate.
3. a kind of ship noise robust identification method according to claim 1, it is characterised in that the setting side of the thresholding D Method are as follows: the modulation conspicuousness statistic T of one section of noise signal when calculating separately ship and without ship1(t) and T0(t), thresholding The value of D should ensure that at any time, D > T0(t), while in the time D < T of 85-95%1(t)。
CN201910367690.7A 2019-05-05 2019-05-05 Ship noise identification method Active CN110082818B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910367690.7A CN110082818B (en) 2019-05-05 2019-05-05 Ship noise identification method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910367690.7A CN110082818B (en) 2019-05-05 2019-05-05 Ship noise identification method

Publications (2)

Publication Number Publication Date
CN110082818A true CN110082818A (en) 2019-08-02
CN110082818B CN110082818B (en) 2020-02-21

Family

ID=67418478

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910367690.7A Active CN110082818B (en) 2019-05-05 2019-05-05 Ship noise identification method

Country Status (1)

Country Link
CN (1) CN110082818B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112712047A (en) * 2021-01-08 2021-04-27 自然资源部第一海洋研究所 Marine mammal echo positioning signal detection method based on image processing

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1889371A (en) * 2005-06-27 2007-01-03 中国人民解放军信息工程大学 Direct sequence spread spectrum communication signal detecting method and apparatus
CN101212439A (en) * 2006-12-27 2008-07-02 北京泰美世纪科技有限公司 Band limit frame synchronization sequence generation and detection device and method
CN102252748A (en) * 2011-04-08 2011-11-23 东南大学 Cavitation noise modulation feature extraction method based on empirical mode
CN103412298A (en) * 2013-08-12 2013-11-27 中国兵器科学研究院 Method capable of automatically acquiring variable speed rotation time interval of ship propeller
CN103607361A (en) * 2013-06-05 2014-02-26 西安电子科技大学 Time frequency overlap signal parameter estimation method under Alpha stable distribution noise
CN106483520A (en) * 2016-09-27 2017-03-08 哈尔滨工程大学 A kind of Ship Radiated-Noise index of modulation method of estimation
CN109285561A (en) * 2018-09-06 2019-01-29 东南大学 A kind of ship propeller cavitation noise Modulation Spectral Feature fidelity Enhancement Method based on adaptive window length
CN109597101A (en) * 2018-11-28 2019-04-09 上海交通大学 Method for tracing satellite signal based on FFT satellite signal search and track loop

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1889371A (en) * 2005-06-27 2007-01-03 中国人民解放军信息工程大学 Direct sequence spread spectrum communication signal detecting method and apparatus
CN101212439A (en) * 2006-12-27 2008-07-02 北京泰美世纪科技有限公司 Band limit frame synchronization sequence generation and detection device and method
CN102252748A (en) * 2011-04-08 2011-11-23 东南大学 Cavitation noise modulation feature extraction method based on empirical mode
CN103607361A (en) * 2013-06-05 2014-02-26 西安电子科技大学 Time frequency overlap signal parameter estimation method under Alpha stable distribution noise
CN103412298A (en) * 2013-08-12 2013-11-27 中国兵器科学研究院 Method capable of automatically acquiring variable speed rotation time interval of ship propeller
CN106483520A (en) * 2016-09-27 2017-03-08 哈尔滨工程大学 A kind of Ship Radiated-Noise index of modulation method of estimation
CN109285561A (en) * 2018-09-06 2019-01-29 东南大学 A kind of ship propeller cavitation noise Modulation Spectral Feature fidelity Enhancement Method based on adaptive window length
CN109597101A (en) * 2018-11-28 2019-04-09 上海交通大学 Method for tracing satellite signal based on FFT satellite signal search and track loop

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112712047A (en) * 2021-01-08 2021-04-27 自然资源部第一海洋研究所 Marine mammal echo positioning signal detection method based on image processing
CN112712047B (en) * 2021-01-08 2022-09-16 自然资源部第一海洋研究所 Marine mammal echo positioning signal detection method based on image processing

Also Published As

Publication number Publication date
CN110082818B (en) 2020-02-21

Similar Documents

Publication Publication Date Title
CN109799532B (en) Seismic wave feature extraction method of self-adaptive stochastic resonance
CN110852201A (en) Pulse signal detection method based on multi-pulse envelope spectrum matching
CN111665489B (en) Line spectrum extraction method based on target characteristics
CN110135316A (en) The automatic detection and extracting method of low frequency spectrum lines in a kind of ship-radiated noise
CN106771598B (en) A kind of Adaptive spectra kurtosis signal processing method
CN108921014A (en) A kind of propeller shaft frequency searching method based on improvement noise envelope signal identification
CN108875685A (en) A kind of underwater AUV detection method of Adaptive matching accidental resonance
CN110672875A (en) Surface water flow velocity detection method based on Chirp-Z transformation
CN110082818A (en) A kind of ship noise robust identification method
CN110376575A (en) A kind of low frequency spectrum lines detection method based on damping parameter matching accidental resonance
Song et al. Robust passive underwater acoustic detection method for propeller
CN103412298A (en) Method capable of automatically acquiring variable speed rotation time interval of ship propeller
Pradhan et al. Ship detection using Neyman-Pearson criterion in marine environment
AU2012244118B2 (en) Method and System for Identifying Events of Digital Signal
KR101303192B1 (en) Passive sonar system and demon treatment improving method
CN102680080B (en) Unsteady-state signal detection method based on improved self-adaptive morphological filtering
CN106595835B (en) A kind of acoustic marker method for extracting signal and system based on staggered superposition algorithm
Zhuang et al. A method to extract the time-frequency feature of underwater acoustic signals
Li et al. Propeller feature extraction of UUVs study based on CEEMD combined with symmetric correlation
JP6926695B2 (en) Amplitude modulation component analysis method and modulation signal analysis system
Peng et al. A simple ship radiated noise model and its application in weak signal detection based on higher order cumulant
Li Spatio-temporal nonconvex penalty adaptive chirp mode decomposition for signal decomposition of cross-frequency coupled sources in seafloor dynamic engineering
JP2639353B2 (en) Acoustic signal detection device
CN115277322B (en) CR signal modulation identification method and system based on graph and continuous entropy characteristics
Millioz et al. Detection and segmentation of fmcw radar signals based on the chirplet transform

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
GR01 Patent grant
GR01 Patent grant