CN106646423A - Genetic algorithm-based coherent accumulation heterodyne detection method - Google Patents
Genetic algorithm-based coherent accumulation heterodyne detection method Download PDFInfo
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- CN106646423A CN106646423A CN201611144302.1A CN201611144302A CN106646423A CN 106646423 A CN106646423 A CN 106646423A CN 201611144302 A CN201611144302 A CN 201611144302A CN 106646423 A CN106646423 A CN 106646423A
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- 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
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Abstract
The invention belongs to the heterodyne detection field and relates to a genetic algorithm-based coherent accumulation heterodyne detection method. The genetic algorithm is used to determine shift steps, so that coherent accumulation heterodyne detection is realized; since the adjacent sampling data of an ADC have the characteristic of fixed phase difference, after sampling sequences shift, the sampling sequences are superposed, and pulse random initial phases are eliminated; and the genetic algorithm is adopted to determine the shift steps of the sequences, so that a signal-to-noise ratio can be improved. According to the method, coherent accumulation is performed automatically through a search algorithm with the signal-to-noise ratio adopted as an evaluation function, and therefore, a complex random phase measurement process can be eliminated, and therefore, corresponding optical path and circuit parts in a system can be decreased, and the implementation of the coherent accumulation system is simpler, more economical and more reliable, and the coherent accumulation system has high practicality.
Description
Technical field
The present invention relates to heterodyne detection field, especially a kind of correlative accumulation heterodyne detection method based on genetic algorithm.
Background technology
In heterodyne detection of laser, when target echo signal is faint, letter can be strengthened by way of pulse correlative accumulation
Make an uproar ratio, that is, launch a series of trains of pulse, accumulation is then overlapped to echo impulse at same distance door.When accumulation pulse
When number is N, in theory signal to noise ratio can be improved N times by correlative accumulation.But the optimized integration of correlative accumulation technology is echo impulse
String must be relevant.In actual applications, many factors can cause pulse to have random initial phase, such as in emission part
Point, the time jitter of Q-switch can produce random initial phases position, be noncoherent so as to cause each accumulation pulse.In addition because
Judge an echo impulse arrival compare generally by threshold value or range gate mode.When being compared with threshold value, because returning
There is a certain degree of shake in the rising edge of wave impulse, can give back to wave impulse additional random phase place.When with range gate receive echo
When, the opening time of door there is also shake, will also produce random phase.Generally speaking, in order to realize correlative accumulation, pulsed laser heterodyne
The transmitting of system and the random phase of receiving portion are required for eliminating.
As shown in figure 1, the technology for being presently available for the elimination of pulse random initial phases position is mainly digital coherent reception technique, this
The technology of kind can only eliminate the random phase produced in emission process, the random phase that such as Q-switch shake is produced.F in figureLFor steady
Determine the frequency of local vibration source, fcFor stable medium-frequency oscillator frequency, fdFor Doppler frequency,For m-th arteries and veins that Q-switch is produced
The random phase of punching.In this approach, stable local vibration source is input to reception frequency mixer with echo-signal, and output frequency is fc+fd
Echo intermediate-freuqncy signal, while also with transmitting pulse input to parametric mixer, one frequency of output is fcLock pulse.The arteries and veins
Punching is containing corresponding exomonental random initial phases positionAfter ADC collections, two paths of signals shakes again with identical digital coherent
Swinging device carries out phase detection, and digital coherent oscillator output frequencies are fcSignal.Subtract each other through phase detection and digit phase
Afterwards, random phase in the signal of outputIt is eliminated.Specific embodiment is as shown in Figure 1.
It is that two paths of signals exists simultaneously that the principle of digital coherent reception technique can be seen that the actually technology from Fig. 1,
That is the reference signal containing random phase and all the way echo-signal all the way.Therefore the technology there must be two-way light path in practicality
With two-way phase detection.Two-way light path is：It is concerned with the sampling pulse containing random phase information for local vibration source all the way；
Another road is used for local vibration source and is concerned with echo impulse.Two-way phase detection is used to detect random phase and signal phase, such
Structure increased the complexity of detection system, need the optics and electronic device of redundancy, and the debugging for also resulting in system is difficult.
From Fig. 1 it can also be seen that similar with the processing procedure of echo impulse to launching pulse in system.Therefore to related electronic devices
Uniformity, stability and accuracy have a very high requirement, and which increase system realize difficulty.In addition, can also from Fig. 1
Find out, this method can only eliminate the random initial phases position produced in emitting portion, because exomonental sampling is comprised only sending out
The random initial phases position of part is penetrated, and for the random phase of receiving portion, this method is not acted on.
Therefore, for the problems referred to above are necessary to propose a kind of correlative accumulation heterodyne detection method based on genetic algorithm.
The content of the invention
For above-mentioned the deficiencies in the prior art, it is an object of the invention to provide a kind of simple structure, more reliable
The correlative accumulation heterodyne detection method based on genetic algorithm.
A kind of correlative accumulation heterodyne detection method based on genetic algorithm, eliminates random by the way of sample sequence displacement
Phase place, step is as follows：
Step one：The sample variance data sequence of each accumulation pulse containing random phase is obtained first；
Step 2：According to the random phase of accumulation pulse, different pulse trains are shifted with different step numbers；
Step 3：Sequence after each Pulse Shift is sued for peace.
Preferably, the displacement step number of each impulse sampling sequence is determined using genetic algorithm, step is as follows：
Step one：The sample variance data sequence of each accumulation pulse containing random phase is obtained first；
Step 2：Randomly generate initial population p0=[C1,C2,...,Cq], genetic entities C in populationq=[l1,
l2..., lm], wherein l1For the displacement step number of first pulse train, l2For the displacement step number of second pulse train, with this
Analogize lmFor the displacement step number of m-th pulse train；
Step 3：Into genetic algorithm g=gmax；
Step 4：If number of iterations g is equal to default maximum gmax, then the maximum genetic entities of fitness are exported；
Step 4：If number of iterations g is not equal to default maximum gmax, then g=g+1, calculates each individual CqAdaptation
Degree.Will each impulse sampling sequence according to CqIn displacement step number shifted after be superimposed, then different CqThere are different adaptations
Angle value.Wherein fitness is signal to noise ratio R of signalq；
Step 5：Each individual fitness of the masses is planted according to previous generation, individuality is selected, and guarantees the big base of fitness
Because individual selected probability it is bigger；
Step 6：By the individuality selected with Probability pcHybridized；
Step 7；To the individuality after hybridization with Probability pmCarry out genetic mutation；
Step 8：So as to produce population of new generation, repeat above procedure, until number of iterations g is equal to default maximum
gmax, finally export the maximum individuality of fitness.
Because the correlative accumulation of above-mentioned technical proposal is, by searching algorithm, with signal to noise ratio as evaluation function, to carry out automatically
Correlative accumulation, it is convenient to omit complicated random phase measurement process, so as to reduce system in corresponding light path and circuit part,
So that the enforcement of correlative accumulation system is simpler, more economical and more reliable, while with very strong practicality, using skill of the present invention
The Heterodyne Detection System of art scheme its system with prior art is contrasted, it can be seen that the present invention can greatly simplify system
System, and can simultaneously eliminate random phase in emission processWith the random phase during reception
Description of the drawings
Fig. 1 is that prior art digital coherent reception eliminates random phase systematic schematic diagram；
Fig. 2 is the heterodyne system schematic diagram using the present invention；
Fig. 3 is that the sampled data displacement of the present invention realizes that random phase eliminates principle schematic；
Fig. 4 is that the genetic algorithm of the present invention determines displacement step number flow chart；
Fig. 5 is accumulation result emulation schematic diagram when random initial phases position does not eliminate in pulse；
Fig. 6 is the inventive method accumulation result emulation schematic diagram.
Specific embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways for covering.
The enforcement of the present invention mainly after ADC sampling accumulation pulse datas, is embodied in software section.Method of the present invention reality
Apply and be capable of achieving in a general micro controller unit.Contrast accompanying drawing 1 and accompanying drawing 2 are as can be seen that the present invention greatly letter
System is changed.
The general principle of the present invention is described below, and has cosine function form for the m time outer difference current signalWherein fhIt is heterodyne signal frequency,For the random phase of m pulses.Therefore the signal
Discrete series after ADC isWherein t0For initial time, k is sampling
Data sequence number, if setting sample frequency as c times of outer difference frequency, sampling time interval Δ t=1/cfh.Therefore, kth time is adopted
There is phase difference φ=2 π f between+1 sampled data of sample data and kthhΔ t=2 π/c.By that analogy, in data im(k) and
im(k+lm) between (lmFor integer), it should there is phase difference=lmΔφ.Based on this feature, if by the sequence of each pulse
The different step number of displacement and then accumulation, accumulating result isWork as lmIt is full
FootWhen, [.]intExpression is rounded to nearest integer, and the random phase of each pulse can be eliminated.Assume each
The displacement step number of individual sequence is l1=3, l2=1, l3=0 ..., lm=2, above-mentioned displacement eliminates the principle such as accompanying drawing 3 of random phase
It is shown.
FromUnderstand, only when the random phase of each pulseWhen known, the displacement step of sequence is just can determine that
Number lm.And in order to measure or storeDigital coherent reception technique must sample to launching pulse, and random phase is stored
In sampling pulse.And this is the reason for exactly cause its system complex.Searching algorithm using based on genetic algorithm of the invention is certainly
It is dynamic to determine displacement step number.
Such as Fig. 3 is simultaneously combined shown in Fig. 4, a kind of correlative accumulation heterodyne detection method based on genetic algorithm, using heredity calculation
Method determines that displacement step number principle realizes correlative accumulation heterodyne detection, and step is as follows：
Step one：The sample variance data sequence of each accumulation pulse containing random phase is obtained first；
Step 2：According to the random phase of accumulation pulse, different pulse trains are shifted with different step numbers；
Step 3：Sequence after each Pulse Shift is sued for peace.
Further, the displacement step number of each impulse sampling sequence is determined using genetic algorithm, step is as follows：
Step one：The sample variance data sequence of each accumulation pulse containing random phase is obtained first；
Step 2：Randomly generate initial population p0=[C1,C2,...,Cq], genetic entities C in populationq=[l1,
l2..., lm], wherein l1For the displacement step number of first pulse train, l2For the displacement step number of second pulse train, with this
Analogize lmFor the displacement step number of m-th pulse train；
Step 3：Into genetic algorithm g=gmax；
Step 4：If number of iterations g is equal to default maximum gmax, then the maximum genetic entities of fitness are exported；
Step 4：If number of iterations g is not equal to default maximum gmax, then g=g+1, calculates each individual CqAdaptation
Degree.Will each impulse sampling sequence according to CqIn displacement step number shifted after be superimposed, then different CqThere are different adaptations
Angle value.Wherein fitness is signal to noise ratio R of signalq；
Step 5：Each individual fitness of the masses is planted according to previous generation, individuality is selected, and guarantees the big base of fitness
Because individual selected probability it is bigger；
Step 6：By the individuality selected with Probability pcHybridized；
Step 7；To the individuality after hybridization with Probability pmCarry out genetic mutation；
Step 8：So as to produce population of new generation, repeat above procedure, until number of iterations g is equal to default maximum
gmax, finally export the maximum individuality of fitness.
The present invention is, by searching algorithm, with signal to noise ratio as evaluation function, correlative accumulation to be carried out automatically due to correlative accumulation,
The random phase measurement process of complexity can be omitted, so as to reduce system in corresponding light path and circuit part so that coherent
The enforcement of accumulation system is simpler, more economical and more reliable, while with very strong practicality；Using technical solution of the present invention
Heterodyne Detection System schematic diagram as shown in Figure 2, it is contrasted with the system of prior art in accompanying drawing 1, it can be seen that the present invention
System can greatly be simplified.And can simultaneously eliminate random phase in emission processWith the random phase during reception
Position
Accompanying drawing 5 is the frequency spectrum simulation result of pulse accumulation result when random initial phases position does not eliminate, and accompanying drawing 6 is using this
The frequency spectrum analogous diagram of the accumulation result of invention.It is all 100 that pulse number is accumulated in two figures, and two width figures of contrast can be seen that
Signal frequency of the present invention is remarkably reinforced, it was demonstrated that the inventive method is effective.
The preferred embodiments of the present invention are the foregoing is only, the scope of the claims of the present invention, every utilization is not thereby limited
Equivalent structure or equivalent flow conversion that description of the invention and accompanying drawing content are made, or directly or indirectly it is used in other correlations
Technical field, be included within the scope of the present invention.
Claims (2)
1. a kind of correlative accumulation heterodyne detection method based on genetic algorithm, it is characterised in that：The side shifted using sample sequence
Formula eliminates random phase, and step is as follows：
Step one：The sample variance data sequence of each accumulation pulse containing random phase is obtained first；
Step 2：According to the random phase of accumulation pulse, different pulse trains are shifted with different step numbers；
Step 3：Sequence after each Pulse Shift is sued for peace.
2. a kind of correlative accumulation heterodyne detection method based on genetic algorithm according to claim 1, it is characterised in that：Adopt
Determine the displacement step number of each impulse sampling sequence with genetic algorithm, step is as follows：
Step one：Randomly generate initial population p0=[C1,C2,...,Cq], genetic entities C in populationq=[l1,l2,...,
lm], wherein l1For the displacement step number of first pulse train, l2For the displacement step number of second pulse train, l by that analogymFor
The displacement step number of m-th pulse train；
Step 2：Into genetic algorithm g=gmax；
Step 3：If number of iterations g is equal to default maximum gmax, then the maximum genetic entities of fitness are exported；
Step 4：If number of iterations g is not equal to default maximum gmax, then g=g+1, calculates each individual CqFitness, will
Each impulse sampling sequence is according to CqIn displacement step number shifted after be superimposed, then different CqThere are different fitness values.Its
Middle fitness is signal to noise ratio R of signalq；
Step 5：Each individual fitness of the masses is planted according to previous generation, individuality is selected, and guarantees the big gene of fitness
The selected probability of body is bigger；
Step 6：By the individuality selected with Probability pcHybridized；
Step 7；To the individuality after hybridization with Probability pmCarry out genetic mutation；
Step 8：So as to produce population of new generation, repeat above procedure, until number of iterations g is equal to default maximum gmax, most
The maximum individuality of fitness is exported afterwards.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113703018A (en) * | 2021-07-12 | 2021-11-26 | 山东大学 | DVL internal and external error calibration method |
| CN114488132A (en) * | 2022-02-22 | 2022-05-13 | 北京卫星信息工程研究所 | Target detection method of satellite-borne GNSS-S radar |
| CN116094608A (en) * | 2023-02-20 | 2023-05-09 | 燕山大学 | Space phase aberration compensation system and method based on genetic algorithm |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1329736A2 (en) * | 1999-06-17 | 2003-07-23 | Samsung Electronics Co. Ltd. | Portable gps receiver for a personal safety system |
| CN103308890A (en) * | 2012-03-07 | 2013-09-18 | 中国人民解放军海军航空工程学院 | Method for realizing phase synchronization of random initial phase pulse train |
| CN104568174A (en) * | 2015-01-04 | 2015-04-29 | 电子科技大学 | Light field matching heterodyne detection device and method based on array detector |
| CN106092338A (en) * | 2016-06-16 | 2016-11-09 | 电子科技大学 | A kind of by the heterodyne detection method of time phase compensation Phase perturbation |
-
2016
- 2016-12-13 CN CN201611144302.1A patent/CN106646423A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1329736A2 (en) * | 1999-06-17 | 2003-07-23 | Samsung Electronics Co. Ltd. | Portable gps receiver for a personal safety system |
| CN103308890A (en) * | 2012-03-07 | 2013-09-18 | 中国人民解放军海军航空工程学院 | Method for realizing phase synchronization of random initial phase pulse train |
| CN104568174A (en) * | 2015-01-04 | 2015-04-29 | 电子科技大学 | Light field matching heterodyne detection device and method based on array detector |
| CN106092338A (en) * | 2016-06-16 | 2016-11-09 | 电子科技大学 | A kind of by the heterodyne detection method of time phase compensation Phase perturbation |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113703018A (en) * | 2021-07-12 | 2021-11-26 | 山东大学 | DVL internal and external error calibration method |
| CN113703018B (en) * | 2021-07-12 | 2022-08-05 | 山东大学 | DVL internal and external error calibration method |
| CN114488132A (en) * | 2022-02-22 | 2022-05-13 | 北京卫星信息工程研究所 | Target detection method of satellite-borne GNSS-S radar |
| CN114488132B (en) * | 2022-02-22 | 2023-01-20 | 北京卫星信息工程研究所 | Target detection method of satellite-borne GNSS-S radar |
| CN116094608A (en) * | 2023-02-20 | 2023-05-09 | 燕山大学 | Space phase aberration compensation system and method based on genetic algorithm |
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