CN111953379A - Universal method for enhancing comprehensive performance of direct sequence spread spectrum communication system - Google Patents

Universal method for enhancing comprehensive performance of direct sequence spread spectrum communication system Download PDF

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CN111953379A
CN111953379A CN202010854583.XA CN202010854583A CN111953379A CN 111953379 A CN111953379 A CN 111953379A CN 202010854583 A CN202010854583 A CN 202010854583A CN 111953379 A CN111953379 A CN 111953379A
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CN111953379B (en
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刘芳
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Shenyang Ligong University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques

Abstract

A general method for enhancing the comprehensive performance of a direct sequence spread spectrum communication system belongs to the technical field of direct sequence spread spectrum communication systems. The invention can solve the problems of difficult improvement of information transmission rate, waste of spread spectrum pseudo code resources and the like in a spread spectrum communication system. The invention can not only control the spread spectrum gain according to the requirement of an application system, but also greatly enhance the information transmission rate on the basis of not wasting a large amount of spread spectrum pseudo code resources, can be generally used in all systems of a direct spread spectrum system, and enhances the comprehensive performance of the system while not subverting the basic structure of the original system.

Description

Universal method for enhancing comprehensive performance of direct sequence spread spectrum communication system
Technical Field
The invention belongs to the technical field of direct sequence spread spectrum communication systems, in particular to a general method for enhancing the comprehensive performance of a direct sequence spread spectrum communication system, which is suitable for high-performance application of all communication systems based on a direct sequence spread spectrum system.
Background
Direct Sequence Spread Spectrum (DSSS) has many advantages such as wide Spectrum, low operating signal-to-noise ratio, easy implementation of code division multiple access, and high security and anti-interference capability, and is widely used in many fields. With the increasing application requirements, especially the requirements of information transmission rate and spectral efficiency, the advantages of the conventional direct sequence spread spectrum are examined, and therefore, a multi-system spread spectrum, parallel combined spread spectrum and code index modulation technology appears. However, the prior art has the problems of limited transmission data rate, overlarge spreading pseudo code resource and the like, and when the spreading pseudo code resource borne by the system is limited, the information rate cannot be increased, so that the universality is limited, therefore, on the premise of saving the spreading pseudo code resource, the research on the universal method for increasing the direct spreading (short for direct sequence spreading) transmission rate and enhancing the frequency band utilization rate is of great importance.
Disclosure of Invention
The invention provides a general method for enhancing the comprehensive performance of a direct sequence spread spectrum communication system, which compresses non-modulation information by using a Huffman coding technology, further controls and activates corresponding spread spectrum pseudo codes through each bit state of the compressed information, analyzes multi-bit compressed information by using a multi-channel maximum peak-to-average ratio and sub-peak-to-average ratio judgment mechanism, and decompresses the non-modulation information, wherein the non-modulation information is not transmitted through a channel, but is implicitly transmitted by using a spread spectrum pseudo code activation mode, so that the frequency band utilization rate is greatly enhanced, and the information transmission rate is improved. The invention can use less spread spectrum pseudo code resources to achieve the purpose of high-speed information transmission and can obtain better error code performance.
The technical scheme is as follows:
in a general method for enhancing the comprehensive performance of a direct sequence spread spectrum communication system, a sending end firstly uses a system which can divide total information into two parts, namely modulation information and non-modulation information, according to the requirement of spread spectrum gain. The modulation information is the information part of actual spread spectrum transmission, and the rate of the modulation information and the spreading pseudo code rate of the system jointly determine the size of the spreading gain. The non-modulated information is information excluding the modulated information from the total information. The application system can divide the whole transmission period into a plurality of time slots according to actual requirements, wherein non-modulation information is compressed in each time slot by using a Huffman coding technology, then the compressed non-modulation information (compressed information) is used for activating the spread spectrum pseudo code, then the activated plurality of spread spectrum pseudo codes are subjected to superposition processing, the modulation information of the current time slot is subjected to spread spectrum processing, and modulation and transmission are carried out. The receiving end carries out spread spectrum pseudo code activation and compressed information bit analysis through correlation operation of a plurality of branches, maximum peak-to-average ratio and secondary peak-to-average ratio calculation and further through a threshold judgment and peak position judgment mechanism. And then, by utilizing all the analyzed compressed information bits, the non-modulation information to be decompressed can be obtained, the decompression processing is further carried out, and the final non-modulation information is recovered. The activated spread spectrum pseudo code is used for superposition processing, and de-spread processing is carried out on the received signal, so that final modulation information can be obtained.
The advantages are that:
a general method for enhancing the comprehensive performance of a direct sequence spread spectrum communication system can solve the problems of difficult improvement of information transmission rate, waste of spread spectrum pseudo code resources and the like in the spread spectrum communication system.
Drawings
Fig. 1 is a schematic diagram of a general method for enhancing the overall performance of a direct sequence spread spectrum communication system according to the present invention.
Fig. 2 is a partially enlarged view of the left side of fig. 1.
Fig. 3 is a partial enlarged view of the right side of fig. 2.
Detailed Description
The technical principle of the signal transmitting end is as follows:
step 1: let the total information to be transmitted be dSThe application system divides the total information into two parts, i.e. modulated information d' and non-modulated information d ", according to the spreading gain requirement. Wherein the modulation information is an information part of the actual spread spectrum transmission. The non-modulated information is information excluding the modulated information from the total information.
Firstly, the non-modulation information d' is compressed by using a Huffman coding technology to obtain compressed non-modulation information, and the compressed non-modulation information is defined as compressed information d. Wherein Huffman [. cndot.) is a Huffman compression function.
d＝Huffman[d”] (1)。
The rate R 'of the modulation information d' and the spreading pseudo code rate of the system together determine the magnitude of the spreading gain. The rate at which the information d is compressed is set to R.
Step 2: the application system can divide the whole transmission period into R according to actual requirementsTEach time slot, and then the modulation information bit number of each time slot can be calculated to be alpha bit, and the compression information bit number isBeta position:
Figure BDA0002645946310000021
Figure BDA0002645946310000022
the modulation information transmitted in the ith time slot is d'i＝[d′i，1，d′i，2，…d′i，α]: compressing the information as di＝[di，1，di，2，…di，β]。
Step 3: compressed information is utilized to activate spread spectrum pseudo code, and a central axis position is established for beta-bit non-modulation information in order to reduce pseudo code resources, wherein,
Figure BDA0002645946310000023
is a ceiling operation.
Figure BDA0002645946310000024
Step 4: the number of spreading pseudo code strips (pseudo code resources) M in the constructed spreading pseudo code set is as follows:
Figure BDA0002645946310000025
the length of the spreading pseudo code sequence of each time slot is L, and M spreading pseudo codes form a spreading pseudo code set phi ═ w1，w2，w3…，wM}。
Step 5: then, the compressed information d of each time slot is utilizediPerforming pseudo code activation, the firstiThe activation criteria for a time slot are shown in table 1. Wherein [ ·]L/2Is a processing function circularly shifted by L/2 points.
TABLE 1 spreading pseudo code activation criterion at signal transmitting end
Figure BDA0002645946310000031
Due to the compressed information d of each time slotiIs uncertain and therefore the active spreading pseudo code per time slot and the number of spreading pseudo codes is also uncertain. If it is firstiCompressed information d of one time sloti＝[10110]Then there are 3 active spreading pseudo codes, each being w1,w3,[w2]L/2. If the compression information d of the ith time sloti＝[011101]Then there are 4 spreading pseudo codes, each being w2,w3,[w3]L/2,[w1]L/2。
Step 6: then, overlapping the activated multiple spreading pseudo codes, when d isi＝[011101]Then, the composite spread spectrum pseudo code W is obtained by superposition processingiComprises the following steps:
Wi＝w2+w3+[w3]L/2+[w1]L/2 (6)。
step 7: modulation information d 'of current time slot by using composite spread spectrum pseudo code w'iSpread spectrum processing is carried out, and then a transmitting signal s of a time slot is obtained after modulationiAnd (n), wherein n is a sampling point variable after digital processing.
si(n)＝di'(n)Wi(n)sin(2πω0n+θ) (7)。
The technical principle of the signal receiving end is as follows:
step 1: receiving end, the ith time slot digital baseband signal s 'obtained after front end processing and frequency mixing'i(n) is:
Figure BDA0002645946310000041
step 2: receiving end uses pseudo code set phi ═ w1，w2，w3…，wMEach spreading pseudo code in the sequence is respectively associated with a signal s'i(n) proceeding to L pointThe correlation operation of M branches is carried out in total to obtain M correlation results, and the j branch correlation result Rj(n) is shown in formula (9), where j ∈ [ 1M ]]。
Figure BDA0002645946310000042
R if the correlation result of the j-th branch has only one peakj(n) the result can be approximately expressed as follows:
Figure BDA0002645946310000043
r if there are 2 peaks in the correlation result of the jth branchj(n) the result can be approximately expressed as follows:
Figure BDA0002645946310000044
wherein, | n ═ FjPeak value at FjThe correlation peak of the position, | χ (n) | is the correlation result between the mixed sequences without correlation.
Step 3: for correlation result Rj(n) calculating the maximum peak-to-average ratio and the sub-peak-to-average ratio:
[Pj,Fj]＝first[Rj(n)],j∈[1 M] (12)。
[P′j,F′j]＝second[Rj(n)],j∈[1 M -1](13). Wherein first [. C]As a function of the maximum peak-to-average ratio, second [. cndot]As a function of the sub-peak-to-average ratio, PjAt maximum peak-to-average ratio, FjIs the maximum peak position, P'jIs a sub-peak-to-average ratio, F'jThe secondary peak position.
Step 4: and j is from 1 to M, for PjMaking a decision with the threshold G if Pj>G then combines with peak position FjJudging so that the receiving end activates the spread spectrum pseudo code wjOr [ wj]L/2Simultaneously parsing compressed information bitsbi,jOr bi,β-j+1Is 1. Further, j is from 1 to M-1, also for M-1Pj'making a decision with a threshold G, if P'j>G is combined with peak position F'jJudging so that the receiving end activates the spread spectrum pseudo code wjOr [ wj]L/2While parsing the compressed information bits bi,jOr bi,β-j+1Is 1 if PjG-and P'jG is less than or equal to G, the receiving end does not activate the spread spectrum pseudo code, and simultaneously compresses the information bit bi,jAnd bi,β-j+1All resolved to 0. Specific receiving end spreading pseudo code activation and compressed information bit analysis criteria are shown in table 2.
TABLE 2 receiver-side spreading pseudo code activation and compressed information bit resolution criterion
Figure BDA0002645946310000051
Figure BDA0002645946310000061
Step 5: then, using all analyzed compressed information bits in the ith time slot, the final beta-bit non-modulation information b can be obtainedi＝[bi，1，bi，2，…bi，β]With the transmitting end β being 6, di＝[011101]For example, let the receiver peak decision of the ith time slot be:
P1> G and
Figure BDA0002645946310000062
then the spreading pseudo code w is activated1]L/2And parses the compressed information bit bi，β-1+1＝1。
P2> G and
Figure BDA0002645946310000063
then the spreading pseudo code w is activated2And parses the compressed information bit bi，2＝1。
P3> G and
Figure BDA0002645946310000064
then the spreading pseudo code w is activated3And parses the compressed information bit bi，3＝1。
P′3> G and
Figure BDA0002645946310000065
then the spreading pseudo code w is activated3]L/2And parses the compressed information bit bi，β-3+1＝1。
Thereby obtaining an analysis result biIs shown in equation (14), which is associated with the real compressed information diThe same is true.
bi＝[bi，1＝0，bi，2＝1，bi，3＝1，bi，4＝1，bi，5＝0，bi，6＝1]
＝[011101]
＝di (14)。
Step 6: then, using Huffman coding technique to decompress the analysis result b of all time slots, and recovering original non-modulation information b', if the compressed information b of each time slotiIf the analysis is correct, the decompressed non-modulation information b 'of the whole period is the same as the real non-modulation information d'.
b”＝Huffman[b]-1 (15)。
Wherein, Huffman [. cndot]-1Is a huffman decompression function.
Step 7: further, the overlay processing is performed by using the spreading pseudo code activated by the receiving end, and for the above example, the activated spreading pseudo code has w2、w3、[w3]L/2、[w1]L/2If the hybrid spread spectrum pseudo code after the superposition processing is:
Wi'＝w2+w3+[w3]L/2+[w1]L/2 (16)。
step 8: finally, spread pseudo code W is usedi'Pair signal s'i(n) performing despreadingProcessing to obtain final alpha-bit modulation information b'i：
b′i(n)＝s′i(n)W′i(n)
≈d′i(n)Wi(n)Wi'(n) (17)。
If W'iThe despread information b 'is the same as the composite spread pseudo code W'iAs shown in equation (18), the information d 'is associated with the real modulation information'iAre equal.
Figure BDA0002645946310000071

Claims (3)

1. A general method for enhancing the overall performance of a direct sequence spread spectrum communication system, comprising the steps of:
the sending end firstly uses the system to divide the total information into two parts according to the demand of spread spectrum gain: modulated information and non-modulated information; the modulation information is the information part of actual spread spectrum transmission, and the rate of the modulation information and the rate of a spreading pseudo code of a system jointly determine the size of a spreading gain; the non-modulation information is the information except the modulation information from the total information; the application system can divide the whole transmission period into a plurality of time slots according to actual requirements, each time slot compresses non-modulation information by using a Huffman coding technology, then activates spread spectrum pseudo codes by using the compressed non-modulation information, further performs superposition processing on the activated plurality of spread spectrum pseudo codes, performs spread spectrum processing on modulation information of the current time slot, and modulates and transmits the modulation information;
the receiving end activates the spread spectrum pseudo code and analyzes the compressed information bit through the correlation operation of a plurality of branches, the calculation of the maximum peak-to-average ratio and the secondary peak-to-average ratio and further through a threshold judgment and peak position judgment mechanism; then, all the analyzed compressed information bits are utilized to obtain non-modulated information to be decompressed, decompression processing is further carried out, and final non-modulated information is recovered; and performing superposition processing by using the activated spread spectrum pseudo code, and performing de-spread processing on the received signal to obtain final modulation information.
2. The method of claim 1, comprising the steps of: a signal sending end:
step 1: let the total information to be transmitted be dSThe application system divides the total information into two parts, namely modulation information d 'and non-modulation information d', according to the requirements of spread spectrum gain; wherein, the modulation information is an information part of actual spread spectrum transmission; the non-modulation information is the information except the modulation information from the total information;
firstly, compressing non-modulation information d' by using a Huffman coding technology to obtain compressed non-modulation information, and defining the compressed non-modulation information as compression information d; wherein Huffman [. cndot ] is a Huffman compression function;
d＝Huffman[d”] [1]；
the rate R 'of the modulation information d' and the spreading pseudo code rate of the system jointly determine the size of the spreading gain; the rate of compressing the information d is set to R;
step 2: the application system can divide the whole transmission period into R according to actual requirementsTAnd each time slot further calculates the modulation information bit number of each time slot as alpha bit, and the compression information bit number as beta bit:
Figure FDA0002645946300000011
Figure FDA0002645946300000012
the modulation information transmitted in the ith time slot is d'i＝[d′i，1，d′i，2，…d′i，α]: compressing the information as di＝[di，1，di，2，…di，β]；
Step 3: the compressed information is used for activating the spread spectrum pseudo code, and in order to reduce pseudo code resources, the central axis position is established for the beta-bit non-modulation information, and the central axis position is used for the beta-bit non-modulation informationIn (1),
Figure FDA0002645946300000021
is an upward rounding operation;
Figure FDA0002645946300000022
step 4: the number of the constructed spreading pseudo code in the spreading pseudo code set is as follows:
Figure FDA0002645946300000023
the length of the spreading pseudo code sequence of each time slot is L, and M spreading pseudo codes form a spreading pseudo code set phi ═ w1，w2，w3…，wM}；
Step 5: then, the compressed information d of each time slot is utilizediPseudo code activation is carried out, and the activation criterion of the ith time slot is shown in a table 1; wherein [ ·]L/2A processing function that is a cyclic shift of L/2 points;
TABLE 1 spreading pseudo code activation criterion at signal transmitting end
Figure FDA0002645946300000024
Due to the compressed information d of each time slotiIs uncertain, so the active spreading pseudo code and the number of spreading pseudo codes per timeslot are also uncertain; if the compression information d of the ith time sloti＝[10110]Then there are 3 active spreading pseudo codes, each being w1，w3，[w2]L/2(ii) a If the compression information d of the ith time sloti＝[011101]Then there are 4 spreading pseudo codes, each being w2，w3，[w3]L/2，[w1]L/2；
Step 6: then, the activated multiple spreading pseudo codes are processedSuperposition processing when di＝[011101]Then, the composite spread spectrum pseudo code W is obtained by superposition processingiComprises the following steps:
Wi＝w2+w3+[w3]L/2+[w1]L/2 [6]；
step 7: modulation information d 'of current time slot by using composite spread spectrum pseudo code w'iSpread spectrum processing is carried out, and then a transmitting signal s of a time slot is obtained after modulationi(n), wherein n is a sampling point variable after digital processing;
si(n)＝d'i(n)Wi(n)sin(2πω0n+θ) [7]。
3. the method of claim 1, comprising the steps of: the technical principle of the receiving end is as follows:
step 1: receiving end, the ith time slot digital baseband signal s 'obtained after front end processing and frequency mixing'i(n) is:
Figure FDA0002645946300000031
step 2: receiving end uses pseudo code set phi ═ w1，w2，w3…，wMEach spreading pseudo code in the sequence is respectively associated with a signal s'i(n) performing correlation operation of L points to obtain M correlation results, and performing correlation operation of the jth branch to obtain correlation results Rj(n) is as in the formula [9]Shown in which j ∈ [ 1M ]]；
Figure FDA0002645946300000032
R if the correlation result of the j-th branch has only one peakj(n) the result can be approximately expressed as follows:
Figure FDA0002645946300000033
r if there are 2 peaks in the correlation result of the jth branchj(n) the result can be approximately expressed as follows:
Figure FDA0002645946300000041
wherein the content of the first and second substances,
Figure FDA0002645946300000043
peak value at FjThe correlation peak value of the position, | χ (n) | is the correlation result between the mixed sequences without correlation;
step 3: for correlation result Rj(n) calculating the maximum peak-to-average ratio and the sub-peak-to-average ratio:
[Pj，Fj]＝first[Rj(n)]，j∈[1 M] [12]；
[P′j，F′j]＝second[Rj(n)]，j∈[1 M-1] [13]；
wherein first [. C]As a function of the maximum peak-to-average ratio, second [. cndot]As a function of the sub-peak-to-average ratio, PjAt maximum peak-to-average ratio, FjIs the maximum peak position, P'jIs a sub-peak-to-average ratio, F'jIs the secondary peak position;
step 4: and j is from 1 to M, for PjMaking a decision with the threshold G if Pj>G then combines with peak position FjJudging so that the receiving end activates the spread spectrum pseudo code wjOr [ wj]L/2While parsing the compressed information bits bi，jOr bi，β-j+1Is 1; further, j is from 1 to M-1, also for M-1P'jMaking a judgment on the P 'with a threshold G if'j>G is combined with peak position F'jJudging so that the receiving end activates the spread spectrum pseudo code wjOr [ wj]L/2While parsing the compressed information bits bi，jOr bi，β-j+1Is 1 if PjG-and P'jWhen G is less than or equal to G, then connectThe receiving end does not activate the spread spectrum pseudo code and compresses the information bit bi，jAnd bi，β-j+1All resolved to 0; specific receiving end spread spectrum pseudo code activation and compressed information bit analysis criteria are shown in table 2;
TABLE 2 receiver-side spreading pseudo code activation and compressed information bit resolution criterion
Figure FDA0002645946300000042
Figure FDA0002645946300000051
Step 5: then, using all analyzed compressed information bits in the ith time slot, the final beta-bit non-modulation information b can be obtainedi＝[bi，1，bi，2，…bi，β]With the transmitting end β being 6, di＝[011101]For example, let the receiver peak decision of the ith time slot be:
P1> G and
Figure FDA0002645946300000061
then the spreading pseudo code w is activated1]L/2And parses the compressed information bit bi，β-1+1＝1；
P2> G and
Figure FDA0002645946300000062
then the spreading pseudo code w is activated2And parses the compressed information bit bi，2＝1；
P3> G and
Figure FDA0002645946300000063
then the spreading pseudo code w is activated3And parses the compressed information bit bi，3＝1；
P′3> G and
Figure FDA0002645946300000064
then the spreading pseudo code w is activated3]L/2And parses the compressed information bit bi，β-3+1＝1；
Thereby obtaining an analysis result biIs the formula [14]Shown, which is associated with the real compressed information diThe same;
bi＝[bi，1＝0，bi，2＝1，bi，3＝1，bi，4＝1，bi，5＝0，bi，6＝1]
＝[011101]
＝di [14]；
step 6: then, using Huffman coding technique to decompress the analysis result b of all time slots, and recovering original non-modulation information b', if the compressed information b of each time slotiIf the analysis is correct, the non-modulation information b 'of the whole decompression period is the same as the real non-modulation information d';
b″＝Huffman[b]-1 [15]；
wherein, Huffman [. cndot]-1Is a huffman decompression function;
step 7: further, the spread spectrum pseudo code activated by the receiving end is utilized to carry out superposition processing, and the activated spread spectrum pseudo code is w2、w3、[w3]L/2And [ w1]L/2And then, the hybrid spread spectrum pseudo code after the superposition processing is as follows:
Wi′＝w2+w3+[w3]L/2+[w1]L/2 [16]；
step 8: finally, spread pseudo code W is usedi'Pair Signal S'i(n) despreading is performed to obtain final α -bit modulation information b'i：
Figure FDA0002645946300000065
If W isi'same as the composite spread pseudo code W, despread information b'iSuch as the formula [18]It is shown with true modulation information d'iEqual;
Figure FDA0002645946300000071
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101098555A (en) * 2007-06-12 2008-01-02 浙江大学 Multi-mode self-adaptive direct-sequence communications system and method therefor
CN101702628A (en) * 2009-11-06 2010-05-05 中国人民解放军国防科学技术大学 Pseudo code capturing method and capturing device using multiple antennae of direct sequence spread spectrum system
CN102571137A (en) * 2012-02-14 2012-07-11 浙江大学 Fully-digital direct sequence spread spectrum communication system and rapid pseudo code capturing method thereof
CN105141340A (en) * 2015-07-24 2015-12-09 南京理工大学 Full-digital receiving method of direct spread MSK signal

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101098555A (en) * 2007-06-12 2008-01-02 浙江大学 Multi-mode self-adaptive direct-sequence communications system and method therefor
CN101702628A (en) * 2009-11-06 2010-05-05 中国人民解放军国防科学技术大学 Pseudo code capturing method and capturing device using multiple antennae of direct sequence spread spectrum system
CN102571137A (en) * 2012-02-14 2012-07-11 浙江大学 Fully-digital direct sequence spread spectrum communication system and rapid pseudo code capturing method thereof
CN105141340A (en) * 2015-07-24 2015-12-09 南京理工大学 Full-digital receiving method of direct spread MSK signal

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘芳等: ""基于扩频的复合混沌优选序列生成方法"", 《沈阳理工大学学报》 *

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