CN110275151A - Mutual-complementing code signal distance blind area pulse compression algorithm, system, device and storage medium based on CLEAN thought - Google Patents
Mutual-complementing code signal distance blind area pulse compression algorithm, system, device and storage medium based on CLEAN thought Download PDFInfo
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- CN110275151A CN110275151A CN201910641885.6A CN201910641885A CN110275151A CN 110275151 A CN110275151 A CN 110275151A CN 201910641885 A CN201910641885 A CN 201910641885A CN 110275151 A CN110275151 A CN 110275151A
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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
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/2813—Means providing a modification of the radiation pattern for cancelling noise, clutter or interfering signals, e.g. side lobe suppression, side lobe blanking, null-steering arrays
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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
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Abstract
The invention discloses mutual-complementing code signal distance blind area pulse compression algorithm, system, device and storage mediums based on CLEAN thought, include the following steps: since maximum distance section, by as far as the process for closely successively carrying out pulse pressure and CLEAN；After the completion of every section of pulse pressure, CLEAN operation is carried out, the signal component of this in input data section target is subtracted, updates input data, and in next section of pulse pressure；After the completion of remote section pulse pressure, the signal component of this section of all targets is extracted from original echo, and graing lobe is eliminated with this without the component of distant object in input data when short distance carries out pulse pressure.The present invention, by the signal processing of receiving end, can solve the problems, such as secondary lobe in the case where transmitting terminal still uses original Golay mutual-complementing code.
Description
Technical field
The present invention relates to Information & Communication Technology, especially a kind of Radar Technology.
Background technique
The characteristics of high-frequency ground wave radar can be propagated using vertical polarization frequency electromagnetic waves with the coastal surface of low-loss, breaks through
Limitation of the earth curvature to radar horizon, can be realized the detection of remote sea and low target.Its detection range is general
200-500km can be reached, effectively compensate for the long-range low-altitude detection blind area of bank base microwave radar.Due to high-frequency ground wave radar
Farther out, in peak-power limited, higher-frequency radar often uses the transmitted waveform of high working ratio to detection range, as frequency modulation is continuous
Wave and FM interrupt continuous wave.The two is adopted in current high-frequency ground wave radar because of the maturation of Processing Algorithm with stable extensively
With.
However, since flexible design, the Doppler frequency that can reach more preferably minor level and high band are typically small, phase
Application of the position encoded signal in high-frequency ground wave radar gradually receives the concern of people.High band electromagnetic environment is complicated, ground, sea
Clutter and ionospheric clutter are very strong, and the demand that weak target is detected under strong jamming and clutter background promotes high-frequency ground wave radar to seek
Ask the better transmitted waveform of minor lobe performance.The Golay mutual-complementing code pulse signal of biphase coding or polyphase codes is by using a pair
The sequence of symhols of auto-correlation function complementation obtains ideal zero secondary lobe auto-correlation function, for high-frequency ground wave radar, very
It is attractive.
When mutual-complementing code pulse signal is used for high-frequency ground wave radar, biggish duty ratio need to be used to meet its detection range
It is required that.For single base high-frequency ground wave radar, broad pulse leads to short distance echo serious shielding, the complementation of original mutual-complementing code when blocking
Property by broken ring, no longer complementary, side lobe performance deteriorates significantly.For the pulse pressure secondary lobe problem of mutual-complementing code blind range zone, existing use
The matched mutual-complementing code pulse compression technology of range segment separating, however correlation will lead to the processing of the technology between each section of Golay mutual-complementing code
As a result medium and long distance target causes graing lobe in short distance section.
Summary of the invention
Goal of the invention: providing a kind of mutual-complementing code signal distance blind area pulse compression algorithm based on CLEAN thought, to solve
The above problem of the existing technology.And further provide for a kind of system based on above-mentioned compression algorithm, device and storage medium.
Technical solution: the mutual-complementing code signal distance blind area pulse compression algorithm based on CLEAN thought includes the following steps:
Since maximum distance section, by as far as the process for closely successively carrying out pulse pressure and CLEAN；
After the completion of every section of pulse pressure, CLEAN operation is carried out, the signal component of this in input data section target is subtracted, updated
Input data, and in next section of pulse pressure；
After the completion of remote section pulse pressure, the signal component of this section of all targets is extracted from original echo, closely
Graing lobe is eliminated with this without the component of distant object in input data when progress pulse pressure.
According to an aspect of the present invention, the process of every section of pulse pressure operation includes:
Calculate the complementary pulse pressure result for working as leading portion；Target decision is carried out according to the complementary pulse pressure result when leading portion, is therefrom estimated
Count target component, amplitude, phase and delay including target；
The theoretical echo-signal of the distance segment mutual-complementing code is constructed according to target component.
According to an aspect of the present invention, the CLEAN operation is specially to subtract theoretical echo letter from present input data
Number, using obtained result as the input data of next distance segment.
A kind of mutual-complementing code signal distance blind area pulse compression algorithm based on CLEAN thought, includes the following steps:
Step 1, initialization system, and the corresponding code element number N of minimum range is determined according to system parameterminAnd maximum
Operating distance corresponds to code element number Nmax；
Step 2, subsection pulse compression and CLEAN operation:
Step 21 chooses maximum distance section, determines input data, pulse compression coefficient and the output distance of current distance section；
Input data section subscript:
Pulse compression coefficient: sA[N- | P+1:N] and sB[N-P+1:N]
Export distance:
In formula, P is filter factor length, and N is mutual-complementing code sequence length,
Step 22 extracts data according to input section, carries out the pulse pressure of A, B code echo respectively, obtains A, B code pulse pressure output zA
(τ) and zB(τ)；Calculate complementation pulse pressure result z (τ)=(zA(τ)+zB(τ))/2；
Step 23 carries out target decision according to the complementary pulse pressure result z (τ) being calculated, and estimates target component { σl,
τl}；
The theoretical echo-signal x of step 24, A, B code for constructing this distance segmentA(t) and xB(t)；
In formula, sA(t) and sBIt (t) is normalized mutual-complementing code transmitted waveform, i.e.,
σlTarget amplitude and phase including estimation, τlIt is delayed for the target of estimation, a is current amplitude factor, l=
0 ..., L-1, L are number of targets；TeFor pulse width；T is the time；
Step 25, when using full complement code sequence as matched filtering coefficient, if A, B code pulse pressure of first of target
Output is respectively zL, AAnd zL, B；
Step 26 subtracts theoretical input signal from present input data, as a result the input data as next distance segment；
Step 3, filter factor length P are updated to P/2, and amplitude factor a is updated to 2a, judge whether P reaches the threshold of setting
Value Nmin, if so, terminating；If it is not, return step 2.
According to an aspect of the present invention, as P=N, the peak amplitude of target location can be used as estimating for target amplitude
Evaluation, amplitude factor a=1；P is every to reduce one times, and a, which need to increase, to be twice, so that by the peak point width of current distance section pulse pressure result
Degree can restore the true amplitude of target multiplied by a.
According to an aspect of the present invention, the target decision method in the step 23 include constant false alarm rate detection algorithm,
Constant gate method or peak detection algorithm based on noise level valuation.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
The step of computer program, the processor realizes any of the above-described the method when executing the computer program.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
The step of method described in any of the above embodiments is realized when row.
The utility model has the advantages that
1. it is high to solve former Golay mutual-complementing code blind area pulse pressure secondary lobe for the mutual-complementing code subsection pulse compression algorithm based on CLEAN thought
The problem of, so that pulse pressure result still has zero secondary lobe in blocked area, and eliminate due to correlation between each section of Golay mutual-complementing code
Caused distant object is the phenomenon that short distance section causes graing lobe.
2. the present invention can in the case where transmitting terminal still uses original Golay mutual-complementing code, through the signal processing of receiving end,
Solve the problems, such as blind range zone pulse pressure secondary lobe.
3. being different from CLEAN class Sidelobe Suppression algorithm, they extract the pulse pressure point of most strong target from pulse pressure result every time
Amount achievees the purpose that reduce secondary lobe, extracts the weak signal target component under strong target secondary lobe.The present invention is directed to the segmentation arteries and veins of mutual-complementing code
Pressure has used the deconvolution thought of CLEAN algorithm, has extracted this section of all target after the completion of each section of pulse pressure from original echo
Signal component, achieve the purpose that remove graing lobe.
Detailed description of the invention
Fig. 1 is 64 symbol mutual-complementing code auto-correlation function schematic diagrames.
Fig. 2 is the sum of A, B code cross-correlation and the cross-correlation of subcode (1) and subcode (2) schematic diagram.
Fig. 3 is the grating lobe problem schematic diagram of interpolation method mutual-complementing code sequence segment pulse pressure.
Fig. 4 a and Fig. 4 b are that the present invention is illustrated using the mutual-complementing code subsection pulse compression algorithm single goal simulation result of CLEAN thought
Figure, wherein Fig. 4 a noiseless, Fig. 4 b signal-to-noise ratio (Signal to Noise Ratio, SNR) are 10dB.
Fig. 5 is the mutual-complementing code subsection pulse compression algorithm multiple target simulation result schematic diagram that the present invention uses CLEAN thought, wherein
Fig. 5 a noiseless, Fig. 5 b SNR=10dB.
Specific embodiment
To solve the above-mentioned problems, applicant carried out in depth studying, such as the document having asking for range shelter
Topic proposes the matched pulse pressure algorithm of range segment separating, but it does not recognize that algorithm using the segmentation complementary characteristic of mutual-complementing code
The pseudo- peak phenomenon that may cause, does not also provide solution.There are also documents to be set by the symbol to original Golay mutual-complementing code
Meter improves to improve high pulse pressure secondary lobe problem when range shelter, and this scheme is that the angle solution at radar emission end is asked
Topic, and its theoretical blind area secondary lobe is also not 0.For this purpose, applicant proposed following schemes.
Complementary code signal is made of complementary sequences code, and every group of mutual-complementing code is coded sequence { A, B } group of N by two length
At autocorrelation sequence RAAnd RBMeet condition:
I.e. mutual-complementing code autocorrelation sequence peak value is 2N, is 0 in other any waters.
Fig. 1 gives the sum of A, B code auto-correlation and the two auto-correlation of 64 symbol mutual-complementing codes of interpolation method generation.It can be with
See, the autocorrelation sequence of two sequences amplitude at water is equal, opposite in phase, and at peak value, the two amplitude and
Phase is all the same.After two sequence auto-correlations are added, autocorrelative sidelobe level is completely counterbalanced by, and peak value doubles.Therefore, mutual-complementing code
Using A code and the autocorrelative complementary characteristic of B code, the whole auto-correlation with ideal zero sidelobe level has been obtained.Mutual-complementing code this
The excellent autocorrelation performance of kind makes it particularly suited for high-frequency ground wave radar under strong sea clutter and complex electromagnetic environment to noise
The detection of relatively low Weak target.
(2) range shelter phenomenon
Requirement of the high-frequency ground wave radar to detection range, which makes it generally, will use the pulse signal of big time width, to single base thunder
For reaching, during transmitting, receiver is closed, and when target delay is less than fire pulse width, receiver cannot be received back
The preceding part of wave, this phenomenon are known as eclipse phenomena.When in the presence of blocking, complete mutual-complementing code sequence and there is the mutual-complementing code blocked
Sequence is mismatch, and matched filtering effect is caused to be deteriorated.
(3) the subcode complementary characteristic of multistage interpolation mutual-complementing code sequence
The mutual-complementing code sequence obtained using multistage interpolation is had the property that: if A={ a0,...,aN-1And B=
{b0,...,bN-1It is the mutual-complementing code that a pair of of length is N, when taking 2 backward since first code word of A code and B codemA symbol, or
It is taken forward from the last one code wordWhen a symbol, obtained subcode is also complementary.According to this
Feature can not be used full complement code sequence when existing and blocking and carry out matched filtering, but be matched using subcode sequence
Filtering.
(4) subsection pulse compression method and grating lobe problem
Target is likely to occur at an arbitrary position in practice, and the points of the corresponding range shelter in different target positions are different,
Correspondingly, the matching subcode used also should be different.Therefore, code element number can not be blocked according to different distance section is corresponding, used
The subcode of different length carries out pulse pressure processing.Finally, being spliced the pulse pressure result of different distance section to obtain full distance section
Processing result.
If radar uses length for the mutual-complementing code pulse signal of N, the corresponding distance unit of symbol width is R=cTp/ 2, c
For the light velocity in vacuum.Assuming that thinking that 0 distance unit to the 4th distance unit is radar shadown, i.e. Rmin=4 δ R, while remembering thunder
It is R up to maximum operating rangemax.Table 1 gives according to obtained mutual-complementing code subsection pulse compression method is analyzed above, gives respectively in table
The division methods of different distance section are gone out, in the splicing of the different distance section pulse compression coefficient used and each distance segment pulse pressure result
Method.S [k] indicates that the mutual-complementing code sampled according to symbol width emits signal in table 1, and k is symbol number, and s [N-i:N] expression takes
The last i+1 symbol of former mutual-complementing code.
1 mutual-complementing code subsection pulse compression method of table
Although the mutual-complementing code sequence that interpolation method generates, there are good characteristic as subcode complementation, length is longer
A certain section of subcode that may be shorter with length of subcode be also it is relevant, cause in subsection pulse compression result and be likely to occur graing lobe
(pseudo- peak).For example, the mutual-complementing code sequence that the length generated for interpolation method is 64, takes its 41 to 48 symbols to constitute subcode (1),
57 to 64 symbols are taken to constitute subcode (2), the sum of A code, B code cross-correlation and A, B code cross-correlation of the two subcodes are such as Fig. 2 institute
Show, it can be seen that the two subcodes are perfectly correlated.
The complementarity of this cross-correlation function will lead to longer-distance target and cause graing lobe (pseudo- peak) in short distance section.?
In target-rich environment, the true spectral peak of this graing lobe and target in pulse pressure result is mixed, it is difficult to distinguish.
Example: mutual-complementing code symbol width Tp=20 μ s, mutual-complementing code sequence length N=64, using the identical mutual-complementing code sequence of Fig. 1
Column, pulse width Te=NTp=1.28ms, repetition period are set as Tr=2.56ms.Use the subsection pulse compression method (N=of table 1
64, δ R=3km) it will cause the target in 72-96km distance segment in the distance segment generation graing lobe of 24-48km, if only in 80km
There is a target at place, and subsection pulse compression result is as shown in Figure 3, it can be seen that, the target positioned at 80km produces one at 33km
Graing lobe.
Due to Fig. 2, Fig. 3 performance the problem of interpolation method generate mutual-complementing code sequence in it is generally existing, directly according to table 1 into
Row subsection pulse compression is infeasible.For this problem, the present invention proposes a kind of the mutual of the deconvolution thought used in CLEAN algorithm
Complement code subsection pulse compression method.
In terms of CLEAN algorithm is widely used in the Sidelobe Suppression of signal processing, principle is by gradually extracting peak signal
Eliminate influence of the strong signal secondary lobe to other signals, committed step is accurately estimating to target position, amplitude and phase
Thus meter, and constructs theoretical input signal, this process is also referred to as deconvolution in pertinent literature, every time from actually entering letter
The theoretical input signal that construction is subtracted in number completes the extraction of the signal component.
In the subsection pulse compression of mutual-complementing code, similar thinking can be used, the pulse pressure since farthest distance segment, every section of processing
After the completion, the signal component of this section is all extracted out from echo-signal, to eliminate apart from grating lobe problem.
If the echo-signal that the A code and B code of mutual-complementing code receive is respectively xA(t) and xB(t), it is assumed that there is L target, it
Amplitude be respectively σl, delay is respectively τl, l=0 ..., L-1.In the case where not considering noise, have
Wherein, sA(t) and sBIt (t) is normalized mutual-complementing code transmitted waveform, i.e.,
When using full complement code sequence as matched filtering coefficient, if A, B code pulse pressure of first of target export difference
For zl,A、zl,B, have
According to formula (3), there is zl,A(τl)=zl,B(τl)=σl, to also just there is complementary pulse pressure result zl(τl)=[zl,A(τl)
+zl,B(τl)]/2=σl, i.e., in the pulse pressure result z of target locationl(τl) target amplitude σ can be used aslEstimated value.
When carrying out subsection pulse compression, if the matched filtering coefficient length that current distance section uses is P, amplitude factor can define
A, as P=N, the peak amplitude of target location can be used as the estimated value of target amplitude, amplitude factor a=1.P is every to reduce one
Times, a, which need to increase, to be twice, and the peak point amplitude by current distance section pulse pressure result is enabled to restore the true of target multiplied by a
Amplitude.To sum up, the CLEAN operation of current distance section is as follows: according to the pulse pressure result z for working as leading portionl(τ) carries out target decision, from
Amplitude, phase and the delay of middle estimation target.Then, original A, B code echo of the corresponding ideal of target is constructed according to formula (2)
Signal, and will be subtracted from input data when the target component of leading portion.Judgements all to current distance section are that the point of target is both needed to
Carry out such CLEAN operation.A, B subcode used due to each section is complementation, and each section of pulse pressure result all has
Preferable sidelobe level is conducive to target decision.When target decision, the constant false alarm rate detection algorithm of various classics can be used, be based on
The constant gate method of noise level valuation or peak detection algorithm etc..
Subsection pulse compression is successively carried out from remote section, and a CLEAN operation is carried out after the completion of each section of pulse pressure, will input number
The target component of this section subtracts in, and the input data of update is used in next section of pulse pressure, therefore remote section pulse pressure is completed
Afterwards, short distance carry out pulse pressure when input data in without the component of distant object, to eliminate graing lobe.
It can be seen that being different from CLEAN class Sidelobe Suppression algorithm, they extract most strong target from pulse pressure result every time
Pulse pressure component achievees the purpose that reduce secondary lobe, extracts the weak signal target component under strong target secondary lobe.Point of the present invention for mutual-complementing code
Section pulse pressure has used the deconvolution thought of CLEAN algorithm, it is all to extract this section after the completion of each section of pulse pressure from original echo
The signal component of target achievees the purpose that remove graing lobe.
Table 2 gives the mutual-complementing code subsection pulse compression algorithm flow based on CLEAN thought, wherein NminFor minimum range
Corresponding code element number, NmaxCode element number is corresponded to for maximum operating range.
Mutual-complementing code subsection pulse compression algorithm flow of the table 2 based on CLEAN thought
(6) embodiment
Symbol width T is all made of in embodimentpThe complementary code signal of=20 μ s, sequence length N=64, pulse width Te
=NTp=1.28ms, repetition period are set as Tr=2.56ms.
Embodiment 1
The case where considering simple target first is mentioned using the present invention and being based in the case where noiseless and SNR=10dB
The mutual-complementing code subsection pulse compression algorithm of CLEAN thought, obtained result are as shown in Figure 4.It is compared with Fig. 3 as it can be seen that at this time only in mesh
Actual distance is marked, is i.e. peak value occurs at 80km, and visible at other distance unit by the simulation result under noise-free case
All have ideal zero secondary lobe.Therefore the mentioned algorithm of the present invention has effectively removed short range puppet peak, and it is excellent to remain mutual-complementing code
Zero sidelobe performance.
Embodiment 2
The case where considering further that multiple target, mutual-complementing code waveform parameter is identical with the emulation of single goal, setting [20,30,55,
60,75,84,91,100,150,160,180,200] there are 12 targets at km, according to table 1, wherein the target at 20km belongs to
The distance segment of 12-24km carries out pulse pressure using the subcode of 4 symbols；Target at 30km belongs to the distance segment of 24-48km, makes
Pulse pressure is carried out with the subcode of 8 symbols；5 targets at [55,60,75,84,91] km belong to the distance segment of 48-96km, use
The subcode of 16 symbols carries out pulse pressure；Target category at [100,150,160,180] km belongs to the distance segment of 96-192km, uses
The subcode of 32 symbols carries out pulse pressure；Target at 200km belongs to > distance segment of 192km, use complete 64 symbol to carry out arteries and veins
Pressure.Fig. 5 is to be obtained using the mutual-complementing code subsection pulse compression algorithm based on CLEAN thought of table 2 as a result, Fig. 5 (a) is noiseless,
And the situation that all target strengths are all identical, Fig. 5 (b) are the case where all target SNR are 10dB.Red dotted line mark in Fig. 5
The actual position of target is gone out.It can see from Fig. 5 (a), (b), pulse pressure result has peak value, and nothing in all target locations
Any puppet peak occurs.Can see from the muting pulse pressure result of Fig. 5 (a), pulse pressure result have ideal zero secondary lobe, only by
It is blocked in short range partial symbols, peak power has loss.
The present invention proposes the mutual-complementing code impulse compression method based on CLEAN algorithm idea, it is intended to complementary using original Golay
When code, in receiving end, solve the problems, such as that mutual-complementing code blind area secondary lobe is high from the angle of signal processing.The mentioned algorithm of the present invention utilizes more
The subcode complementary characteristic for the mutual-complementing code sequence that grade interpolation method generates, uses the subcode of different length as arteries and veins in different coverage extents
Press coefficient；Meanwhile it solving puppet peak caused by the correlation between mutual-complementing code difference subcode section using multistage CLEAN operation and showing
As.
The preferred embodiment of the present invention has been described above in detail, still, during present invention is not limited to the embodiments described above
Detail a variety of equivalents can be carried out to technical solution of the present invention within the scope of the technical concept of the present invention, this
A little equivalents all belong to the scope of protection of the present invention.
Claims (8)
1. the mutual-complementing code signal distance blind area pulse compression algorithm based on CLEAN thought, which comprises the steps of:
Since maximum distance section, by as far as the process for closely successively carrying out pulse pressure and CLEAN；
After the completion of every section of pulse pressure, CLEAN operation is carried out, the signal component of this in input data section target is subtracted, updates input
Data, and in next section of pulse pressure；
After the completion of remote section pulse pressure, the signal component of this section of all targets is extracted from original echo, is carried out in short distance
Graing lobe is eliminated with this without the component of distant object in input data when pulse pressure.
2. the mutual-complementing code signal distance pulse compression algorithm in blind area according to claim 1 based on CLEAN thought, feature
It is, the process of every section of pulse pressure operation includes:
Calculate the complementary pulse pressure result for working as leading portion；Target decision is carried out according to the complementary pulse pressure result when leading portion, therefrom estimates mesh
Mark parameter, amplitude, phase and delay including target；
The theoretical echo-signal of the distance segment mutual-complementing code is constructed according to target component.
3. the mutual-complementing code signal distance pulse compression algorithm in blind area according to claim 2 based on CLEAN thought, feature
Be, CLEAN operation is specially to subtract theoretical echo-signal from present input data, using obtained result as it is next away from
Input data from section.
4. a kind of mutual-complementing code signal distance blind area pulse compression algorithm based on CLEAN thought, which is characterized in that including walking as follows
It is rapid:
Step 1, initialization system, and the corresponding code element number N of minimum range is determined according to system parameterminAnd maximum effect
The corresponding code element number N of distancemax；
Step 2, subsection pulse compression and CLEAN operation:
Step 21 chooses maximum distance section, determines input data, pulse compression coefficient and the output distance of current distance section；
Input data section subscript:
Pulse compression coefficient: sA[N- | P+1:N] and sB[N-P+1:N]
Export distance:
In formula, P is filter factor length, and N is mutual-complementing code sequence length,
Step 22 extracts data according to input section, carries out the pulse pressure of A, B code echo respectively, obtains A, B code pulse pressure output zA(τ) and
zB(τ)；Calculate complementation pulse pressure result z (τ)=(zA(τ)+zB(τ))/2；
Step 23 carries out target decision according to the complementary pulse pressure result z (τ) being calculated, and estimates target component { σl, τl}；
The theoretical echo-signal x of step 24, A, B code for constructing this distance segmentA(t) and xB(t)；
In formula, sA(t) and sBIt (t) is normalized mutual-complementing code transmitted waveform, i.e.,
σlTarget amplitude and phase including estimation, τlIt is delayed for the target of estimation, a is current amplitude factor, l=0 ..., L-
1, L is number of targets；TeFor pulse width；T is the time；
Step 25, when using full complement code sequence as matched filtering coefficient, if A, B code pulse pressure output of first target
Respectively zL, AAnd zL, B；
Step 26 subtracts theoretical input signal from present input data, as a result the input data as next distance segment；
Step 3, filter factor length P are updated to P/2, and amplitude factor a is updated to 2a, judge whether P reaches the threshold value of setting
Nmin, if so, terminating；If it is not, return step 2.
5. the mutual-complementing code signal distance pulse compression algorithm in blind area according to claim 4 based on CLEAN thought, feature
It is, as P=N, the peak amplitude of target location can be used as the estimated value of target amplitude, amplitude factor a=1；The every diminution of P
One times, a, which need to increase, to be twice, and the peak point amplitude by current distance section pulse pressure result is enabled to restore the true of target multiplied by a
Real amplitude.
6. the mutual-complementing code signal distance pulse compression algorithm in blind area according to claim 5 based on CLEAN thought, feature
It is, the target decision method in the step 23 includes constant false alarm rate detection algorithm, the constant gate based on noise level valuation
Limit method or peak detection algorithm.
7. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes any one of claims 1 to 6 institute when executing the computer program
The step of stating method.
8. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The step of processor realizes method described in any one of claims 1 to 6 when executing.
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Citations (4)
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