CN106357363A - Chaotic mapping method suitable for code division multiple access spread spectrum communication and application of chaotic mapping method - Google Patents
Chaotic mapping method suitable for code division multiple access spread spectrum communication and application of chaotic mapping method Download PDFInfo
- Publication number
- CN106357363A CN106357363A CN201610803308.9A CN201610803308A CN106357363A CN 106357363 A CN106357363 A CN 106357363A CN 201610803308 A CN201610803308 A CN 201610803308A CN 106357363 A CN106357363 A CN 106357363A
- Authority
- CN
- China
- Prior art keywords
- mapping
- chaotic
- value
- oscm
- mapping method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013507 mapping Methods 0.000 title claims abstract description 70
- 230000000739 chaotic effect Effects 0.000 title claims abstract description 53
- 238000004891 communication Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000001228 spectrum Methods 0.000 title abstract description 21
- 230000007480 spreading Effects 0.000 claims abstract description 14
- 238000005070 sampling Methods 0.000 claims description 6
- 230000006872 improvement Effects 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 abstract description 10
- 238000005315 distribution function Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000009826 distribution Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 238000005314 correlation function Methods 0.000 description 3
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical group [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 241001620634 Roger Species 0.000 description 1
- 238000005311 autocorrelation function Methods 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000004870 electrical engineering Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005312 nonlinear dynamic Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000005316 response function Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/001—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using chaotic signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J13/00—Code division multiplex systems
- H04J13/0007—Code type
- H04J13/0018—Chaotic
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a chaotic mapping method suitable for code division multiple access spread spectrum communication and application of the chaotic mapping method. The chaotic mapping method includes: using ICMIC (iterative chaotic mapping with infinite collapses) mapping as input of improved Logistic mapping to build a new chaotic mapping model L-I-OSCM; specifically, using an iteration value of the ICMIC mapping as an input value of the improved Logistic mapping and an iteration value of the improved Logistic mapping as an input value of the ICMIC mapping. The chaotic mapping method is higher in attractor complexity and sensitivity to initial conditions. The application refers to using a chaotic sequence generated the chaotic mapping method as a spreading code to be applied to a visible light communication to realize multiple access of a user.
Description
Technical field
The present invention relates to spread spectrum communication field, more particularly, to a kind of CDMA bandspread communication system that is applied to
Chaotic maps method and application.
Background technology
Spread spectrum communication is widely used in the high security communication of national defence and commercial signal communication system.Common frequency expansion sequence has m
The sequences such as sequence, gold sequence, they are produced by linear feedback by multi-stage shift register or other delay elements, have reason
The autocorrelation performance thought, correlation function presents periodically, and cross-correlation function has larger spike.However, correlation properties are reasonable
The quantity of pn code is extremely limited, and in jumbo communication system, these sequence quantity can not meet system capacity requirements, resists and cuts
Obtaining property is also poor, is easily penetrated, confidentiality is not strong, such as "Xiao Wei, the chaos spread spectrum in cdma communication and wireless channel parameter are estimated Meter technical research [d], master thesis, Xi'an, Xi'an University of Technology, 2007" technology disclosed in paper.
Chaos system, as a kind of nonlinear dynamic system, has the pseudo-random characteristics of height, but itself is true again
Qualitatively, and it has the sensitivity of height to original state, if the chaos sequence that chaos system is produced is as spread spectrum
The frequency expansion sequence of communication, will greatly improve the anti-intercepting and capturing performance of spread spectrum communication, realize secret communication of good performance, Er Qieyou
In the height pseudo-randomness of chaos sequence, chaos sequence never repeats.
Oneself has a lot of scholars, in research, chaos sequence is used as spreading code and is made with replacing in spread spectrum communication system at present
Gold sequence, m-sequence etc., such as paper "zimmer.rodger e,peterson.roger l,broth.david e, introduction to spread spectrum communications[m],newyork,prentice-hall, 1995", and "s.shanmugam,h.leung,a novel m-ary chaotic spread spectrum communication scheme for dsrc system in its [c],los angeles,ieee vehicular Technology conference fall, sept 2004,803～807" disclosed in technology contents.
Paper "b.ghobad.h,m.clare.d,a chaotic direct-sequence spread-spectrum Communication system [j], ieee trans.communication 42,1524～1527" and "c.vladeanu, i.banica,s.e.assad,periodic chaotic spreading sequences with better correlation properties than conventional sequences-ber performances analysis [c],iasi,roamnia,international symposium on signals,circuits ans.systems,2: 2003" in the probability utilizing one-dimensional chaotic maps to produce the spreading code for direct sequence spread spectrum communication system is carried out
Prove, and emulated by gold sequence, m-sequence and chaos sequence are applied to asynchronous communication system, analysis result
Display chaos sequence has the incomparable advantage of conventional spread spectrum code for spread spectrum communication system, can effectively reduce the error code of system
Rate.
However, traditional chaotic maps method is because mapping structure is relatively simply it is easy to be passed through Chaotic Synchronous etc. by malicious user
Method obtains key parameter so as to security performance is threatened.
Content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention is based on spread spectrum communication demand it is proposed that one kind is applied to code
The chaotic maps method of point multiple spreading communication system, is a kind of to have higher attractor complexity, higher initial value sensitivity
Chaotic maps method.
A further object of the present invention is to propose a kind of application of chaotic maps method, using this chaos sequence as spreading code,
It is applied to visible light communication system, to realize the multiple access of user.
In order to solve above-mentioned technical problem, the technical scheme is that
A kind of chaotic maps method being applied to CDMA bandspread communication, icmic is mapped as modified model
The input of logistic mapping, constructs a kind of new chaotic maps model l-i-oscm；Specifically every time icmic is mapped
The input value that iterative value maps as modified model logistic, and the iterative value of modified model logistic mapping is as icmic
The input value of mapping.
Preferably, defining chaotic maps model l-i-oscm is:
Wherein, f (x) is l-i-oscm mapping function, and x is sequential value, and a, b are constants, and n is iterationses, xnFor
Nth iteration value, initial value x0∈ [- 1,0) and ∪ (0,1], xn+1Span be [- 1,0) ∪ (0,1], p is over-sampling
Number of times.
A kind of application of chaotic maps method, produces chaos sequence using chaotic maps model l-i-oscm, by this chaos
Sequence, as spreading code, is applied to visible light communication system, to realize the multiple access of user.
Compared with prior art, the invention has the benefit that
The present invention proposes to be applied to the chaotic maps method of CDMA bandspread communication system, is a kind of new chaotic mapping
Method: l-i-oscm maps.This mapping scheme is based on modified model logistic mapping and icmic mapping method, devises one kind
New chaotic maps mode, can improve chaos sequence attractor complexity, improve initial value sensitivity, improve probability density distribution multiple
Miscellaneous degree, improves the safety of spread spectrum communication further.
Brief description
Fig. 1 maps attractor comparison diagram for l-i-oscm mapping with modified model logistic.
Fig. 2 maps initial value sensitivity comparison diagram for l-i-oscm mapping with modified model logistic.
Fig. 3 is l-i-oscm sequence of mapping scattergram.
Fig. 4 maps correlation properties figure for l-i-oscm.
Fig. 5 is l-i-oscm mapping and modified model logistic mapping probabilities distribution function comparison diagram.
Fig. 6 is the visible light communication CDMA flow chart based on chaos sequence.
Fig. 7 is the bit error rate com-parison and analysis figure that different chaos sequences do spreading code.
Specific embodiment
The present invention will be further described below in conjunction with the accompanying drawings, but embodiments of the present invention are not limited to this.
The focus of the present invention are the improvement of new chaotic sequence characteristic so as to be more suitable for spread spectrum communication system.
The present invention proposes icmic mapping as the input of modified model logistic mapping, constructs a kind of new chaos
Projected forms.So design is equal to the input value that the iterative value mapping icmic every time maps as modified model logistic,
And the input value that the iterative value of modified model logistic mapping maps as icmic.In addition, on the basis of construction mapping,
Over-sampling process is carried out to each value, such as paper "h.zhang,j.guo,h.wang,and r.ding,oversampled chaotic mapbinary sequences:definition[c],performance and realization,ieee asiapacific conference on circuit And system.tianjin, 2000,618～621." in regard to mistake
The description of Sampling techniques, each iterative value is brought into function and carries out over-sampling process, so, the value model of new mappings control parameter
Enclose very wide, not only increase the parameter estimation difficulty of chaos system, and frequency expansion sequence can be improved by changing the value of parameter
Generation quantity.
The definition of the l-i-oscm mapping of present invention design is:
Wherein, f (x) is l-i-oscm mapping function, and x is sequential value, and a, b are constants, and n is iterationses, xnFor
Nth iteration value.Initial value x0∈ [- 1,0) and ∪ (0,1], xn+1Span be [- 1,0) ∪ (0,1], p is over-sampling
Number of times.
By the performance of each basic feature of matlab simulation analysis l-i-oscm mapping, hereinafter, the ginseng of new mappings
Number a value is 2, b value is 2.
(1) attractor
Track in phase space for the chaotic motion is commonly known as " attractor ", and it is the performance of a system stability.
By paper "h.zhang,j.guo,h.wang,and r.ding,oversampled chaotic mapbinarysequences:definition[c],performanceand realization,ieee asiapacific Conference on circuit and system.tianjin, 2000,618～621." technical result announced can inhale
The structure of introduction and complexity determine the dynamic characteristic of chaos system.
The l-i-oscm that Fig. 1 (a) is proposed by the present embodiment maps coexisting attractors, with modified model logistic chaotic maps
Coexisting attractors (Fig. 1 (b)) contrast.Can be seen by Fig. 1, the l-i-oscm mapping that the present embodiment is proposed attracts minor structure more
Complexity, phase-space distributions are more disperseed in a jumble, and between adjacent iterative value, difference is bigger, and no any regularity can be sayed, effectively reduce
Decode the probability of sequence by means such as phase space backsteppings, be more suitable for safe communication system.
(2) initial value sensitivity
Initial value sensitivity is an important feature of chaotic maps, and it refers to give two difference very littles for chaos system
Initial value, system system trajectory after seldom secondary (in Fig. 2 (a) analogous diagram be 4 times) iteration just occurs to separate, become two complete
Different track entirely.
From Fig. 2 (a), set initial value and differ only by 10-7, l-i-oscm chaotic maps presented herein are through 4 times
After iteration, track just there occurs and separates, and modified model logistic mapping (as Fig. 2 (b)) then just will send out through 22 iteration, track
Estranged from.Illustrate that chaotic maps presented herein have extremely strong sensitivity to initial value, performance is better than modified model
Logistic maps.This characteristic not only contributes to the more considerable chaos spread spectrum sequence of generation quantity, and more chaos is logical safely
Letter provides reliable guarantee.
(3) ergodic
Ergodic is also called ergodic theorem, by choosing certain initial value, through successive ignition, the distribution of observation sequence value
Situation can analyze the ergodic of chaos sequence.By paper "Xue Hua, Zhao Hengbin, a few class chaos system strange attractor emulation point Analysis [j]. Binzhou College's journal, 26 (6), 2010,66～70" technological achievement announced understands, ergodic is that chaos sequence is random
The performance of property.The ergodic of chaos sequence is better, and randomness is better, and in chaotic communication, the probability being decrypted is less.As Fig. 3
Shown, taking initial value to be 0.3600,1500 iteration being carried out to mapping herein, as long as taking sufficiently large iterationses, the present embodiment
Mapping can travel through all values in the range of [- 1,1], forms near uniform class random distribution.
(4) correlation analysiss
By paper "v.c.d.sundersingh and z.wu,frequency domain processing basedchaos communication for cognitive radio[m].department of electricalengineering,wright state university,2010." technical result announced understands chaos
Correlation properties are to weigh a major criterion of chaos sequence quality, and chaos sequence has high autocorrelation and relatively low cross-correlation
Property, this characteristic is that chaos sequence is applied to the important evidence of spread spectrum communication as frequency expansion sequence.The auto-correlation of chaos sequence and
Cross-correlation function is defined as:
Wherein, x1iAnd x2iRepresent the different chaos sequence of initial value,Represent the average of chaos sequence.
Normalized autocorrelation and cross correlation figure that Fig. 4 maps for the present embodiment.As seen from the figure, the present embodiment mapping is produced
Raw chaos sequence auto-correlation function is similar to unit impact response function, has good autocorrelation performance.Initial value is taken to differ
10-7Two two chaos sequences being worth to cross correlation functional value close to 0.
(5) probability-distribution function
Using method of least square, the approximation probability distribution function of chaotic maps can be found out.(Fig. 5 (a) is l-i- to Fig. 5
Oscm mapping probabilities distribution function, Fig. 5 (b) is modified model logistic mapping probabilities distribution function) show, probability-distribution function
The amplitude of variation of curve l-i-oscm mapping be more than modified model logistic and map, that is, corresponding chaos sequence can provide more
High security of system.
And then, chaos sequence is produced using institute's new chaotic mapping model l-i-oscm mapping method, by this chaos sequence
As spreading code, it is applied to visible light communication system, wherein system block diagram is as shown in Figure 6.By means of chaos sequence good from
Correlation properties, the multiple access of achievable user.
Employed in emulation experiment, parameter is as shown in the table:
Table 1 simulation parameter table
The present embodiment compares the system bit error rate using three kinds of different chaos sequences as spreading code, and chaos sequence divides
It is not: modified model logistics mapping, icmic mapping and l-i-oscm mapping.
As can be seen from Figure 7: when signal to noise ratio is for 8db, vlc system (visible light communication system) adopts three kinds of differences
Chaos sequence is respectively as follows: modified model logistics mapping 10 as the system bit error rate of spreading code-2.9, icmic mapping 10-2.8
And l-i-oscm mapping 10-3.6It is clear that the l-i-oscm mapping that the present embodiment proposes is reflected compared to modified model logistics
Penetrate and can provide 2db gain for system with icmic mapping.Therefore, using chaos sequence produced by l-i-oscm mapping as expansion
Frequency code, it is possible to provide preferably systematic function.
The present invention is based on spread spectrum communication demand it is proposed that a kind of chaotic maps being applied to CDMA bandspread communication system
Method, is a kind of new chaotic mapping method: l-i-oscm mapping.This mapping scheme be based on modified model logistic mapping and
Icmic mapping method, devises a kind of new chaotic maps mode, can improve chaos sequence attractor complexity, improves initial value
Sensitivity, improves probability density distribution complexity, improves the safety of spread spectrum communication further.
Description describes current techniques background, analyzes traditional chaos sequence as the defect of spreading code, is discussed in detail
The building method of new chaotic mapping, and from chaos sequence attractor, initial value sensitivity, ergodic, dependency and probability close
The degree aspect comparative analysiss such as the function raising with respect to traditional chaotic maps performance for the l-i-oscm mapping, finally, using new
Type chaotic maps model l-i-oscm mapping method produces chaos sequence, using this chaos sequence as spreading code, is applied to visible
Optical communication system, analyzes the raising of new chaotic sequence pair systematic function.
The foregoing is only embodiments of the invention, be not limited to the present invention.The present invention can have various conjunctions
Suitable change and change.All any modification, equivalent substitution and improvement made within the spirit and principles in the present invention etc., all should
It is included within protection scope of the present invention.
Claims (3)
1. a kind of chaotic maps method being applied to CDMA bandspread communication is it is characterised in that map icmic as improvement
The input of type logistic mapping, constructs a kind of new chaotic maps model l-i-oscm；Specifically every time icmic is mapped
The input value that maps as modified model logistic of iterative value, and the iterative value conduct of modified model logistic mapping
The input value of icmic mapping.
2. the chaotic maps method according to claim is it is characterised in that definition chaotic maps model l-i-oscm is:
Wherein, f (x) is l-i-oscm mapping function, and x is sequential value, and a, b are constants, and n is iterationses, xnFor n-th
Iteration value, initial value x0∈ [- 1,0) and ∪ (0,1], xn+1Span be [- 1,0) ∪ (0,1], p is over-sampling number of times.
3. the application of a kind of chaotic maps method described in claim 1 or 2 is it is characterised in that adopt chaotic maps model l-
I-oscm produces chaos sequence, using this chaos sequence as spreading code, is applied to visible light communication system, to realize the many of user
Location accesses.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610803308.9A CN106357363A (en) | 2016-09-05 | 2016-09-05 | Chaotic mapping method suitable for code division multiple access spread spectrum communication and application of chaotic mapping method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610803308.9A CN106357363A (en) | 2016-09-05 | 2016-09-05 | Chaotic mapping method suitable for code division multiple access spread spectrum communication and application of chaotic mapping method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106357363A true CN106357363A (en) | 2017-01-25 |
Family
ID=57859450
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610803308.9A Pending CN106357363A (en) | 2016-09-05 | 2016-09-05 | Chaotic mapping method suitable for code division multiple access spread spectrum communication and application of chaotic mapping method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106357363A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108989252A (en) * | 2018-07-20 | 2018-12-11 | 北京邮电大学 | A kind of multiple access method and system |
| CN110190944A (en) * | 2019-04-30 | 2019-08-30 | 沈阳理工大学 | Model is generated based on the compound chaos spread spectrum sequence of the more mappings of dynamic |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140064410A1 (en) * | 2011-12-07 | 2014-03-06 | Ashitosh Swarup | Chaotic communication systems and methods |
| CN105207715A (en) * | 2015-08-13 | 2015-12-30 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Chaotic sequence based CDMA (Code Division Multiple Access) access method |
| CN105429706A (en) * | 2015-12-15 | 2016-03-23 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Chaos code division multiple access visible light communication system based on AES encrypted interweaving |
-
2016
- 2016-09-05 CN CN201610803308.9A patent/CN106357363A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140064410A1 (en) * | 2011-12-07 | 2014-03-06 | Ashitosh Swarup | Chaotic communication systems and methods |
| CN105207715A (en) * | 2015-08-13 | 2015-12-30 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Chaotic sequence based CDMA (Code Division Multiple Access) access method |
| CN105429706A (en) * | 2015-12-15 | 2016-03-23 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Chaos code division multiple access visible light communication system based on AES encrypted interweaving |
Non-Patent Citations (2)
| Title |
|---|
| 李恩等: "一种基于双混沌映射的加密算法设计与应用", 《计算机应用研究》 * |
| 郭彦: "混沌扩频序列的改进及其在CDMA通信中的应用", 《吉林大学硕士学位论文》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108989252A (en) * | 2018-07-20 | 2018-12-11 | 北京邮电大学 | A kind of multiple access method and system |
| CN110190944A (en) * | 2019-04-30 | 2019-08-30 | 沈阳理工大学 | Model is generated based on the compound chaos spread spectrum sequence of the more mappings of dynamic |
| CN110190944B (en) * | 2019-04-30 | 2022-05-20 | 沈阳理工大学 | Chaotic spread spectrum sequence generation method based on dynamic multi-mapping composition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101946474B (en) | Impulse ultra-wideband radio communication system | |
| Ghavami et al. | A novel UWB pulse shape modulation system | |
| Alvarez et al. | Breaking projective chaos synchronization secure communication using filtering and generalized synchronization | |
| Quyen et al. | Chaotic direct-sequence spread-spectrum with variable symbol period: A technique for enhancing physical layer security | |
| Dou | Radar-communication integration based on MSK-LFM spread spectrum signal | |
| Li et al. | Research of constructing method of complete complementary sequence in integrated radar and communication | |
| Quyen et al. | Design and analysis of a spread‐spectrum communication system with chaos‐based variation of both phase‐coded carrier and spreading factor | |
| CN102254110A (en) | Control circuit for randomization of overturning moment of register | |
| CN107231228A (en) | The low communication interception design method of mixed chaos | |
| CN101552664A (en) | Reference Chirp ultra-wideband system group synchronization method based on multi-phase filtering code domain transmission | |
| CN106357363A (en) | Chaotic mapping method suitable for code division multiple access spread spectrum communication and application of chaotic mapping method | |
| CN101478331B (en) | Constructing method for dual time frequency non-repeat non-complete frequency hopping sequence | |
| Niu et al. | New classes of optimal frequency hopping sequences with low hit zone. | |
| EP3158654A1 (en) | Ultra-wideband communication and/or location system | |
| Wang et al. | Analysis performance of MC-CDMA communication system based on improved Chebyshev sequence | |
| Ekhande et al. | Chaotic signal for signal masking in digital communications | |
| CN106330425B (en) | Production method based on one-dimensional displacement multiplication of chaotic maps sequence | |
| CN104301100A (en) | Wireless channel characteristic comprehensive information fusion method | |
| Fennouh et al. | Fpga implementation of orthogonal hyperchaotic sequences generator based on the cnn: application in multi-user chaotic communications | |
| Cotae et al. | A cyclostationary blind Doppler estimation method for underwater acoustic communications using direct-sequence spread spectrum signals | |
| Saha et al. | Application of modified chaotic sine map in secure communication | |
| CN114221675B (en) | Interleaving expansion method of controllable long-period frequency hopping sequence family in frequency hopping communication | |
| Zhang et al. | A Novel Approach of Protocol Behavior Identification for TDMA‐Based Frequency Hopping Communication | |
| Li et al. | The application of the ZCZ sequence pairs set in QS-CDMA system | |
| Ohira et al. | Code Generator for Optical ZCZ Sequence with Zero-Correlation Zone 2z |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170125 |
|
| WD01 | Invention patent application deemed withdrawn after publication |