CN109407078A - A kind of double adaptive copy correlator method - Google Patents

A kind of double adaptive copy correlator method Download PDF

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Publication number
CN109407078A
CN109407078A CN201811009885.6A CN201811009885A CN109407078A CN 109407078 A CN109407078 A CN 109407078A CN 201811009885 A CN201811009885 A CN 201811009885A CN 109407078 A CN109407078 A CN 109407078A
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signal
adaptive
filtering
noise
level
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CN109407078B (en
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王青翠
权恒恒
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715th Research Institute of CSIC
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715th Research Institute of CSIC
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/537—Counter-measures or counter-counter-measures, e.g. jamming, anti-jamming
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/539—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
  • Filters That Use Time-Delay Elements (AREA)

Abstract

The invention discloses a kind of double adaptive copy correlator methods, choose input signal of the noise signal highly relevant with the ambient noise in reception signal as first order adaptive-filtering, signal will be received as the reference input of the first level adaptation, carry out first order adaptive algorithm, using the residual signals of first order adaptive-filtering as the reference signal of second level adaptive-filtering, input signal is original transmitted signal, carry out second level adaptive-filtering, it is related finally to make copy with the amendment reference signal that first order adaptive-filtering obtains noise reduction reception signal to the second level adaptation obtains, obtain the output of double adaptive copy correlator.The present invention utilizes double adaptive technology, adaptive noise cancel- ation first is carried out to reception signal, improve the signal-to-noise ratio for receiving signal, again on the basis of noise cancellation signal, adaptively reference signal is modified, the performance for further increasing copy correlator is of great significance to the performance for improving copy correlator under complex environment.

Description

A kind of double adaptive copy correlator method
Technical field
The present invention relates to the fields of sonar and signal processing, and in particular to a kind of double adaptive copy correlator side Method.
Background technique
Sonar is the main means that target in water is detected and identified, has in military and civilian field and widely answers With.The echo that active sonar is irradiated to target back reflection by receiving transmitting signal, the power for analyzing echo-signal are come to target Judged.Wherein, copy correlator is a kind of signal processing method that active sonar is widely used, classical etection theory card Bright, copy correlator is the optimum receiver that known signal is detected in additive white Gaussian background.However, marine environment is one The uncertain channel to complicate when a, by sea, sub-bottom reflection, more way extension, the inhomogeneities of medium, random perturbation and The factors such as the random fluctuation at interface influence, and active sonar, which receives signal, can generate signal distortion, show as the time delay, how general of signal Strangle extension etc., thus cannot well with transmitting Signal Matching, cause copy correlator performance decline, cause copy correlator because Occur multiple relevant peaks for multipath effect, performance is caused to decline.Therefore, it is necessary to improve the deficiency of copy correlator, make it Adaptability can be generated to environment.
A kind of adaptive copy correlator has been researched and proposed, the information of channel can have adaptively been extracted, to reference signal It is modified, related, the processing gain of Lai Tigao receiver that carries out copy using reference signal and the reception signal after adaptive. The present invention proposes a kind of double adaptive copy correlator, further increases copy on the basis of the adaptive copy correlator The performance of correlator.
Summary of the invention
It is an object of the invention to overcome the shortcomings of the prior art, and provide a kind of double adaptive copy correlator side Method.
The object of the present invention is achieved by the following technical solutions: this double adaptive copy correlator method, main It wants to filter the following steps are included: choosing the noise signal highly relevant with the ambient noise in reception signal as the first level adaptation The input signal of wave will receive signal as the reference input of the first level adaptation, first order adaptive algorithm be carried out, by first Reference signal of the residual signals of level adaptation filtering as second level adaptive-filtering, input signal is original transmitted signal, Second level adaptive-filtering is carried out, finally noise reduction reception signal is obtained with first order adaptive-filtering and is obtained with the second level adaptation Amendment reference signal to make copy related, obtain the output of double adaptive copy correlator.
This method specifically comprises the following steps:
Step 1: input of the noise signal relevant to the peak of noise received in signal as the first level adaptation is chosen z1(n)；
Step 2: signal will be received as the reference input d of the first level adaptation1(n), it is adaptive to carry out the first order Algorithm is answered, the parameters such as adaptive step-length and filter order are chosen according to the amplitude of input signal, obtain output and are
Step 3: the residual signals of first order adaptive-filtering are e1(n)=d1(n)-y1(n), using the residual signals as The reference signal of next level adaptation, i.e. d2(n)=e1(n), the output signal of first order adaptive-filtering is to receive in signal The estimation of noise contribution, then subtracting output signal with reference signal can be obtained the reception signal after eliminating partial noise component, It is equivalent to the signal-to-noise ratio for improving and receiving signal；
Step 4: carrying out second level adaptive-filtering, and wherein reference signal is that the noise reduction after the first level adaptation receives letter Number, input signal is original transmitted signal, and adaptive step-length, filter parameter etc. can select again according to input signal amplitude It takes；
Step 5: by second level adaptive-filtering, ART network, i.e. the second level adaptation filter can be carried out to channel The output signal y of wave2It (n) is revised reference signal；
Step 6: the noise reduction obtained with step 3 receives the amendment reference signal that signal is obtained with step 5 and does copy phase It closes, obtains the output of double adaptive copy correlator.
The adaptive algorithm uses LMS, RLS.
The invention has the benefit that
1, the present invention is applied to active Sonar signal processing, first adaptive to signal progress is received using double adaptive technology It answers noise to eliminate, improves the signal-to-noise ratio for receiving signal, then on the basis of noise cancellation signal, adaptively repair to reference signal Just, the performance for further increasing copy correlator is of great significance to the performance for improving copy correlator under complex environment.
2, the present invention only changes input signal and reference signal, can reuse adaptive technique, realizes easy；It is first right It receives signal and carries out adaptive noise cancellation, improve the signal-to-noise ratio for receiving signal, then reference is believed on the basis of noise cancellation signal Number carry out adaptive correction, can be further improved the performance of copy correlator.
Detailed description of the invention
Fig. 1 is work flow diagram of the invention.
Fig. 2 is double adaptive structure chart of the invention.
Fig. 3 is channel impulse response spectrogram of the invention.
Algorithms of different performance compares figure when Fig. 4 is signal-to-noise ratio 0dB of the invention.
Algorithms of different performance compares figure when Fig. 5 is signal-to-noise ratio -20dB of the invention.
Specific embodiment
Below in conjunction with attached drawing, the present invention will be described in detail:
Embodiment: as shown in the picture, this double adaptive copy correlator method mainly comprises the steps that
Step 1: input of the noise signal relevant to the peak of noise received in signal as the first level adaptation is chosen z1(n)；
Step 2: signal will be received as the reference input d of the first level adaptation1(n), the first level adaptation calculation is carried out Method, adaptive algorithm can be using LMS, RLS etc., and the parameters such as adaptive step-length and filter order are according to the width of input signal To choose, obtain output is degree
Step 3: the residual signals of first order adaptive-filtering are e1(n)=d1(n)-y1(n), using the residual signals as The reference signal d of next level adaptation2(n)=e1(n), that is, the output signal of first order adaptive-filtering is to receive in signal The estimation of noise contribution, then subtracting output signal with reference signal can be obtained the reception signal after eliminating partial noise component, It is equivalent to the signal-to-noise ratio for improving and receiving signal；
Step 4: carrying out second level adaptive-filtering, and wherein reference signal is that the noise reduction after the first level adaptation receives letter Number, input signal is original transmitted signal, and adaptive step-length, filter parameter etc. can select again according to input signal amplitude It takes；
Step 5: by second level adaptive-filtering, ART network, i.e. the second level adaptation filter can be carried out to channel The output signal y of wave2It (n) is revised reference signal；
Step 6: the noise reduction obtained with step 3 receives the amendment reference signal that signal is obtained with step 5 and does copy phase It closes, obtains the output of double adaptive copy correlator.
The present invention implements process:
Active Sonar signal emulation:
Simulated conditions are as follows: transmitting signal s (t) is linear FM signal, bandwidth B=500Hz, frequency range 1000- 1500Hz, pulsewidth T=1s.In order to emulate practical ocean channel complicated and changeable, one letter of geometrical acoustics channel software emulation is utilized Road, sound source distance are 20km, emission depth 50m, receive depth 7m, and sound velocity gradient is negative sound velocity gradient, obtains Channel Impulse It responds h (t), as shown in Fig. 3.Echo-signal after propagating in the channel is the convolution of original transmitted signal and channel response s1(t)=s (t) * h (t), when echo-signal is embedded in one section by certain signal-to-noise ratio in the white Gaussian noise of a length of t=1.5s, As reception signal r (t)=s1(t)+n(t)。
First order adaptive-filtering:
The noise signal highly relevant with the ambient noise in reception signal is chosen as the defeated of first order adaptive-filtering Enter signal z1(t), the reference signal d of signal r (t) as first order adaptive-filtering will be received1(t), certainly using LMS, RLS etc. Adaptive algorithm is filtered, and by taking LMS algorithm as an example, is had
e1(n)=d1(n)-y1(n)
w1(n+1)=w1(n)+2μe1(n)z1(n)
Wherein, μ is the step parameter of control stability and rate of convergence, can be chosen according to input signal power.
The output signal y that first order adaptive-filtering obtains1It (n) is estimation to noise signal, then e1It (n) is adaptive Reception signal after noise cancellation, as the reference signal of next level adaptation, i.e. d2(n)=e1(n), by adaptive Noise cancellation improves the signal-to-noise ratio for receiving signal.
Second level adaptive-filtering:
The input signal of second level adaptive-filtering is original transmitted signal, z2(n)=s (n), reference signal are through first The filtered noise reduction of level adaptation receives signal, repeats adaptive-filtering process, and filter weight coefficient can be extracted adaptively The information of channel makes output signal y2(n) match with echo-signal, modified reference signal can be regarded as.
Double adaptive copy is related:
The noise reduction that is obtained using the first level adaptation receive amendment reference signal that signal and the second level adaptation obtain into Row copy relevant treatment, obtains the output of double adaptive copy correlator.
Emulation experiment is carried out to the performance of double adaptive copy correlator, and with traditional copy correlator and adaptively Correlator is compared, and each algorithm performance that attached drawing 4, attached drawing 5 are set forth when signal-to-noise ratio is 0dB, -20dB compares, wherein MF indicates that traditional copy correlator, AMF indicate that adaptive copy correlator, DAMF indicate double adaptive copy correlator.From In figure as can be seen that by channel effect, there are multiple peak values in the output result of copy correlator, and adaptive correlator and it is double from It is unimodal for adapting to correlator.Under identical signal-to-noise ratio, the peak value of double adaptive copy correlator is more obvious than adaptive correlator, and two Person is more obvious than traditional copy correlator.When signal-to-noise ratio drops to -20dB, traditional copy correlator can't see obviously Peak value, and double adaptive copy correlator still has most apparent output peak value.
It is understood that it will be understood by those skilled in the art that being subject to technical solution of the present invention and inventive concept It all should fall within the scope of protection of the appended claims of the present invention with replacement or change.

Claims (3)

1. a kind of double adaptive copy correlator method, it is characterised in that: mainly comprise the steps that selection and receive in signal Input signal of the highly relevant noise signal of ambient noise as first order adaptive-filtering, signal will be received as first The reference input of level adaptation carries out first order adaptive algorithm, using the residual signals of first order adaptive-filtering as second The reference signal of level adaptation filtering, input signal is original transmitted signal, second level adaptive-filtering is carried out, finally with first Level adaptation filters to obtain that noise reduction receives signal that make copy with the amendment reference signal that the second level adaptation obtains related, obtains pair The output of adaptive copy correlator.
2. double adaptive copy correlator method according to claim 1, it is characterised in that: this method specifically includes as follows Step:
Step 1: input z of the noise signal relevant to the peak of noise received in signal as the first level adaptation is chosen1 (n)；
Step 2: signal will be received as the reference input d of the first level adaptation1(n), first order adaptive algorithm is carried out, adaptively Step-length and the parameters such as filter order chosen according to the amplitude of input signal, obtaining output is
Step 3: the residual signals of first order adaptive-filtering are e1(n)=d1(n)-y1(n), using the residual signals as next The reference signal of level adaptation, i.e. d2(n)=e1(n), the output signal of first order adaptive-filtering is the noise received in signal The estimation of ingredient, then subtracting output signal with reference signal can be obtained the reception signal after eliminating partial noise component, quite In the signal-to-noise ratio for improving reception signal；
Step 4: carrying out second level adaptive-filtering, and wherein reference signal is that the noise reduction after the first level adaptation receives signal, defeated Entering signal is original transmitted signal, and adaptive step-length, filter parameter etc. can be chosen again according to input signal amplitude；
Step 5: by second level adaptive-filtering, can carry out ART network to channel, i.e. second level adaptive-filtering Output signal y2It (n) is revised reference signal；
Step 6: the noise reduction that is obtained with step 3 receives signal and the amendment reference signal that step 5 obtains, and to make copy related, obtains To the output of double adaptive copy correlator.
3. double adaptive copy correlator method according to claim 1 or 2, it is characterised in that: the adaptive algorithm Using LMS, RLS.
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Citations (2)

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Publication number Priority date Publication date Assignee Title
US4355368A (en) * 1980-10-06 1982-10-19 The United States Of America As Represented By The Secretary Of The Navy Adaptive correlator
CN105871475A (en) * 2016-05-25 2016-08-17 哈尔滨工程大学 Whale-sound-imitating covert underwater sound communication method based on self-adaptive interference cancellation

Patent Citations (2)

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Publication number Priority date Publication date Assignee Title
US4355368A (en) * 1980-10-06 1982-10-19 The United States Of America As Represented By The Secretary Of The Navy Adaptive correlator
CN105871475A (en) * 2016-05-25 2016-08-17 哈尔滨工程大学 Whale-sound-imitating covert underwater sound communication method based on self-adaptive interference cancellation

Non-Patent Citations (4)

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Title
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惠俊英 等: "自适应相关器", 《哈尔滨船舶工程学院学报》 *
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