CN101834815A - Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters - Google Patents

Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters Download PDF

Info

Publication number
CN101834815A
CN101834815A CN201010301259A CN201010301259A CN101834815A CN 101834815 A CN101834815 A CN 101834815A CN 201010301259 A CN201010301259 A CN 201010301259A CN 201010301259 A CN201010301259 A CN 201010301259A CN 101834815 A CN101834815 A CN 101834815A
Authority
CN
China
Prior art keywords
signal
conversion
road
dynamic encryption
obtains
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
Application number
CN201010301259A
Other languages
Chinese (zh)
Inventor
沙学军
梅林�
张钦宇
吴宣利
吴少川
詹宗超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Institute of Technology
Original Assignee
Harbin Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Harbin Institute of Technology filed Critical Harbin Institute of Technology
Priority to CN201010301259A priority Critical patent/CN101834815A/en
Publication of CN101834815A publication Critical patent/CN101834815A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters, relating to the communication technical field and solving the problems of poor interception resistance and poor interference resistance in the existing transmission resistance process of communication signals. The method comprises the following steps: at a transmitting end: digital signals are modulated by a baseband and then are subjected to spread spectrum encoding and quadrinomial weighted fractional Fourier transform under the control of a dynamic encryption parameter alphai and a dynamic encryption vector Vi, and encryption data synthesized by signals in multiple paths are subjected to digital carrier modulation and then are sent to a channel to transmit after D/A conversion and up-conversion; and at a receiving end: the data after down-conversion and A/D sampling is subjected to digital carrier coherent modulation, is decomposed by the signals in multiple paths, is subjected to quadrinomial weighted fractional Fourier transform for m times under the control of the dynamic encryption parameter alphai and dynamic encryption vector Vi, and is modulated by the baseband. The method is suitable for occasions of communication signal transmission.

Description

Intercept and capture and anti-interference method based on the signal of the four-item weight score Fourier conversion of multichannel variable element is anti-
Technical field
The present invention relates to communication technical field, be specifically related to anti-intercepting and capturing of a kind of signal of communication and anti-interference method.
Background technology
Current society, information has become the important wealth of society, and maintaining secrecy of information more and more is subject to people's attention.The purpose of secure communication is in the face of the assailant, guarantees the safety of communicating by letter when the dangerous channel of application communicates between communicating pair.In the process of secure communication, the two communication informations of not wishing or not allowing one's own side to send of sending out of communication are intercepted and captured by other party, and communication is divulged a secret, the disturbed even danger that destroyed otherwise just have.As content important in the modern secure communication, the anti-intercepting and capturing character of information has caused people's extensive attention.
(Fractional Fourier Transform is a kind of important time frequency analyzing tool FRFT) to fractional Fourier transform, has obtained comparatively extensive studies in the last few years, and has been used in some field of engineering technology.FRFT is the popularization to traditional F ourier conversion, and its essential characteristics can be understood as the fractionation to Fourier transform characteristics value.The continuity of parameter value, rotation additivity and be the fundamental property of FRFT to the uniformity of signal time-frequency form.Owing to, and, make FRFT have various definition form to the wide in range property that FRFT character retrains to the difference of characteristic value fractionation mode.According to these definition starting point and essential characteristic separately, can roughly it be divided into two classes, that is: classical class FRFT and weighting class FRFT.
(Weighted FRFT is to be proposed first in nineteen ninety-five by C.C.Shih WFRFT) to weighting class fractional Fourier transform.After this, multinomial and multi-parameter WFRFT successively is suggested again.According to existing theory, the WFRFT definition can be generalized to the WFRFT of discrete series continuously.The four-item weight score Fourier conversion (4-WFRFT) of discrete series is defined as follows after promoting:
Wherein
w l ( α , m k , n k ) = 1 4 Σ k = 0 3 exp { ± 2 πi 4 [ ( 4 m k + 1 ) α ( k + 4 n k ) - lk ] } , l = 0,1,2,3
Be by α, MV=[m 0, m 1, m 2, m 3] and NV=[n 0, n 1, n 2, n 3] wait the common weight coefficient form of controlling of 9 parameters, wherein α is a real number, MV and NV are real vector; N counts for the DFT conversion; N is the sequential element sequence number, and is identical with the implication of n among the DFT and k.Make V=[MV, NV].X (n) and x (n) be discrete Fourier transform (DFT) (DFT) to (through substitution of variable n=k), DFT adopts following formal definition:
X ( k ) = 1 N Σ n = 0 N - 1 x ( n ) e - j 2 π X kn x ( n ) = 1 N Σ k = 0 N - 1 X ( k ) e j 2 π N kn
Adopt the digital communication system of 4-WFRFT technology, its transmission information has class Gauss's feature, thereby has the anti-characteristic of intercepting and capturing of certain communication.
Summary of the invention
The present invention is in order to overcome the anti-intercepting and capturing poor performance in the anti-transmission course of existing communication signal, the problem of interference free performance difference, thereby a kind of anti-intercepting and capturing and anti-interference method of signal of the four-item weight score Fourier conversion based on the multichannel variable element is provided.
Intercept and capture and anti-interference method based on the signal of the four-item weight score Fourier conversion of multichannel variable element is anti-, it since following steps realize:
Transmitting terminal:
Step 1, the digital signal that data source is sent are carried out the digital baseband modulation, obtain the signal after the modulation;
Signal after step 2, the modulation that step 1 is obtained carries out m times of spread spectrum coding, obtains the signal behind the spread spectrum coding of m road;
Every road signal in the signal behind step 3, the m road spread spectrum coding that step 2 is obtained carries out four-item weight score Fourier conversion respectively, obtain the signal after the m road conversion, wherein to carry out the dynamic encryption parameter of four-item weight score Fourier conversion be α to i road signal i, the dynamic encryption vector is V i
Signal after step 4, the m road conversion that step 3 is obtained synthesizes, and obtains the signal after synthetic;
Step 5, with step 4 obtain synthetic after signal carry out the digital carrier modulation, obtain the signal after the modulation;
Signal after step 6, the modulation that step 5 is obtained carries out D/A conversion and filtering, obtains filtered signal;
Step 7, the filtered signal that step 6 is obtained carry out sending by channel after the upconversion process;
Receiving terminal:
Step 8, the signal that receives is carried out down-converted, obtain the signal after the down-converted;
Signal after step 9, the down-converted that step 8 is obtained carries out filtering and A/D conversion, obtains the signal after the conversion;
Signal after step 10, the conversion that step 9 is obtained carries out the digital carrier demodulation, obtains the signal after the demodulation;
Signal after step 11, the demodulation that step 10 is obtained is decomposed into m road signal, and every road signal is carried out four-item weight score Fourier conversion respectively, obtains the m road signal after the conversion; Wherein the signal dynamic encryption parameter of carrying out four-item weight score Fourier conversion in i road is-α i, the dynamic encryption vector is V i
Signal spread-spectrum decoding back, m road after step 12, the conversion that step 11 is obtained obtains the signal after the decoding;
Signal after step 13, the decoding that step 12 is obtained carries out the digital baseband signal demodulation, obtains result after the demodulation;
Described i=1,2 ... m;
M is a positive integer.
The parameter alpha of dynamic encryption described in the step 3 iEstablishing method be: by clock source control pseudo-code generator output pseudo noise code, described pseudo noise code and predefined dynamic encryption parameter changing pattern are united, obtain concrete dynamic encryption parameter value.
The present invention is by carrying out repeatedly different parameters four-item weight score Fourier conversion simultaneously to same group of data, and repeatedly transformation results with staggered form output.And control the dynamic change of encryption parameter by pseudo random sequence, make the rule of conversion of encryption parameter present pseudo-random characteristics; Simultaneously, same data block adopted respectively behind the different encryption parameter parallel encryptions carry out serial transmission after synthetic, make and in long-time observation, have more noisy characteristics through the signal after the four-item weight score Fourier transform, can effectively resist at random and bursty interference, improve the anti-intercepting and capturing performance and the interference free performance of communication information transmission significantly.
Description of drawings
Fig. 1 is a signal processing flow schematic diagram of the present invention; Fig. 2 is that the dynamic encryption parameter in the specific embodiment of the invention one changes tactful schematic diagram; Fig. 3 is the synthetic schematic diagram of multiple signals in the embodiment one.
Embodiment
Embodiment one, this embodiment is described in conjunction with Fig. 1, based on anti-the intercepting and capturing and anti-interference method of signal of the four-item weight score Fourier conversion of multichannel variable element, it since following steps realize:
Transmitting terminal:
Step 1, the digital signal that data source is sent are carried out the digital baseband modulation, obtain the signal after the modulation;
Signal after step 2, the modulation that step 1 is obtained carries out m times of spread spectrum coding, obtains the signal behind the spread spectrum coding of m road;
Every road signal in the signal behind step 3, the m road spread spectrum coding that step 2 is obtained carries out four-item weight score Fourier conversion respectively, obtain the signal after the m road conversion, wherein to carry out the dynamic encryption parameter of four-item weight score Fourier conversion be α to i road signal i, the dynamic encryption vector is V i
Signal after step 4, the m road conversion that step 3 is obtained synthesizes, and obtains the signal after synthetic;
Step 5, with step 4 obtain synthetic after signal carry out the digital carrier modulation, obtain the signal after the modulation;
Signal after step 6, the modulation that step 5 is obtained carries out D/A conversion and filtering, obtains filtered signal;
Step 7, the filtered signal that step 6 is obtained carry out sending by channel after the upconversion process;
Receiving terminal:
Step 8, the signal that receives is carried out down-converted, obtain the signal after the down-converted;
Signal after step 9, the down-converted that step 8 is obtained carries out filtering and A/D conversion, obtains the signal after the conversion;
Signal after step 10, the conversion that step 9 is obtained carries out the digital carrier demodulation, obtains the signal after the demodulation;
Signal after step 11, the demodulation that step 10 is obtained is decomposed into m road signal, and every road signal is carried out four-item weight score Fourier conversion respectively, obtains the m road signal after the conversion; Wherein the signal dynamic encryption parameter of carrying out four-item weight score Fourier conversion in i road is-α i, the dynamic encryption vector is V i
Signal spread-spectrum decoding back, m road after step 12, the conversion that step 11 is obtained obtains the signal after the decoding;
Signal after step 13, the decoding that step 12 is obtained carries out the digital baseband signal demodulation, obtains result after the demodulation;
Described i=1,2 ... m;
M is a positive integer.
The parameter alpha of dynamic encryption described in the step 3 iEstablishing method be: by clock source control pseudo-code generator output pseudo noise code, described pseudo noise code and predefined dynamic encryption parameter changing pattern are united, obtain concrete dynamic encryption parameter value.
The signal processing flow of present embodiment: the binary data information that data source provides is carried out spread spectrum coding after the digital baseband modulation, and the length of data block is increased to original m doubly behind the process spread spectrum coding; Encrypting module receives Data Dynamic encryption parameter α i, the dynamic encryption vector V i(i=1,2,3 ... m) carry out the four-item weight score Fourier transform under the control; The data encrypted signal synthesizes, and employing is read in, by capable mode of reading data handled by row; Again through sending into channel after digital carrier modulation, A/D conversion, filtering, the upconversion process.Signal decomposition is opposite with the front with spread spectrum decoding part.The multichannel composition principle figure of signal as shown in Figure 3.
Fig. 2 is that a kind of dynamic encryption parameter of the present invention changes tactful schematic diagram, the complete period B of parameter alpha α=4 have been divided into 16 groups 32 parts, and wherein same group two parts at a distance of 2, correspond respectively to pseudo noise code and be 0 and the interval of 1 o'clock output parameter.B FBe the size between each group parameter region, the parameter protection scope when also being each frame data conversion.T FBe the time of same data block through continuing behind the spread spectrum coding, T CBeing the cycle of parameter saltus step, also is the time that each data block continues.
Present embodiment is an example with m=3, T in the strategy shown in the figure F=3T C, this ratio can be adjusted as required.The order of parameter transformation is in the strategy:
α 5,α 11,α 7,α 14,α 12,α 8,α 1,α 2,α 4,α 9,α 3,α 6,α 13,α 10,α 16,α 15,α 5,α 11,α 7,α 14,α 12……
This is predefined in proper order, also can adjust as required in good time.As can be seen from Figure 2, each data block of information source all has been transmitted 3 times, has also promptly carried out 3 times spread spectrum transmission, reaches the purpose of anti-random disturbances and raising systematic function.
Fig. 3 is the synthetic block diagram of the packet configuration signal of n * m.As shown in the figure, packet configuration is a matrix of nm data bit being put into the capable m row of n, nm data bit is synthesized at every turn.Data block wherein
{a 1,0,a 1,1,…,a 1,n-1},{a 2,0,a 2,1,…,a 2,n-1},……,{a m,0,a m,1,…,a m,n-1}
The information source information unanimity of representative has just been carried out the four-item weight score Fourier transform of different conversion exponent numbers respectively.Signal synthesizer is inserted data in the matrix unit by row when work, and reads by row when sending.So just having produced initial data is the effect of separating in the cycle with m bit.
Present embodiment all can be realized by DSP, FPGA or FPGA+DSP.Present embodiment can adopt the system configuration of parallel or serial, and wherein parallel organization is more suitable in FPGA, and serial structure is more suitable in DSP; If adopt FPGA+DSP or other hardware structures, then can be according to the suitable Adjustment System structure of actual conditions.

Claims (2)

1. intercept and capture and anti-interference method based on the signal of the four-item weight score Fourier conversion of multichannel variable element is anti-, it is characterized in that: it since following steps realize:
Transmitting terminal:
Step 1, the digital signal that data source is sent are carried out the digital baseband modulation, obtain the signal after the modulation;
Signal after step 2, the modulation that step 1 is obtained carries out m times of spread spectrum coding, obtains the signal behind the spread spectrum coding of m road;
Every road signal in the signal behind step 3, the m road spread spectrum coding that step 2 is obtained carries out four-item weight score Fourier conversion respectively, obtain the signal after the m road conversion, wherein to carry out the dynamic encryption parameter of four-item weight score Fourier conversion be α to i road signal i, the dynamic encryption vector is V i
Signal after step 4, the m road conversion that step 3 is obtained synthesizes, and obtains the signal after synthetic;
Step 5, with step 4 obtain synthetic after signal carry out the digital carrier modulation, obtain the signal after the modulation;
Signal after step 6, the modulation that step 5 is obtained carries out D/A conversion and filtering, obtains filtered signal;
Step 7, the filtered signal that step 6 is obtained carry out sending by channel after the upconversion process;
Receiving terminal:
Step 8, the signal that receives is carried out down-converted, obtain the signal after the down-converted;
Signal after step 9, the down-converted that step 8 is obtained carries out filtering and A/D conversion, obtains the signal after the conversion;
Signal after step 10, the conversion that step 9 is obtained carries out the digital carrier demodulation, obtains the signal after the demodulation;
Signal after step 11, the demodulation that step 10 is obtained is decomposed into m road signal, and every road signal is carried out four-item weight score Fourier conversion respectively, obtains the m road signal after the conversion; Wherein the signal dynamic encryption parameter of carrying out four-item weight score Fourier conversion in i road is-α i, the dynamic encryption vector is V i
Signal spread-spectrum decoding back, m road after step 12, the conversion that step 11 is obtained obtains the signal after the decoding;
Signal after step 13, the decoding that step 12 is obtained carries out the digital baseband signal demodulation, obtains result after the demodulation
Described i=1,2 ... m;
M is a positive integer.
2. the signal of the four-item weight score Fourier conversion based on the multichannel variable element according to claim 1 is anti-to be intercepted and captured and anti-interference method, it is characterized in that the parameter alpha of dynamic encryption described in the step 3 iEstablishing method be: by clock source control pseudo-code generator output pseudo noise code, described pseudo noise code and predefined dynamic encryption parameter changing pattern are united, obtain concrete dynamic encryption parameter value.
CN201010301259A 2010-02-05 2010-02-05 Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters Pending CN101834815A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201010301259A CN101834815A (en) 2010-02-05 2010-02-05 Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201010301259A CN101834815A (en) 2010-02-05 2010-02-05 Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters

Publications (1)

Publication Number Publication Date
CN101834815A true CN101834815A (en) 2010-09-15

Family

ID=42718747

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201010301259A Pending CN101834815A (en) 2010-02-05 2010-02-05 Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters

Country Status (1)

Country Link
CN (1) CN101834815A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102201914A (en) * 2011-07-14 2011-09-28 哈尔滨工业大学 Secret communication method based on multi-dimensional single/multi-parameter four-weighted fractional Fourier transform
CN102340476A (en) * 2011-07-14 2012-02-01 哈尔滨工业大学 OFDM (Orthogonal Frequency Division Multiplexing) communication system based on weighted score Fourier transform expansion
CN102611672A (en) * 2012-04-23 2012-07-25 哈尔滨工业大学 Narrowband interference suppression method based on weighted score Fourier transform domain
CN103067318A (en) * 2012-12-25 2013-04-24 哈尔滨工业大学 Narrow-band interference restraining method based on four-term weighted score Fourier transform weighting matrix
CN103078817A (en) * 2013-01-30 2013-05-01 哈尔滨工业大学 Weighted score Fourier transform-based variable parameter spread spectrum sequence low-detection probability signal emitting and receiving method
CN103138776A (en) * 2013-02-21 2013-06-05 深圳市睿海智电子科技有限公司 Multiple output Zigbee launcher
CN103281097A (en) * 2013-03-12 2013-09-04 深圳市睿海智电子科技有限公司 Multi-input multi-output Zigbee transmitter-receiver device
CN103326976A (en) * 2013-07-10 2013-09-25 哈尔滨工业大学 Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation
CN104917599A (en) * 2015-06-11 2015-09-16 哈尔滨工业大学 Weighted score Fourier transform time-spreading transmission method in simultaneous system
CN108390889A (en) * 2018-03-23 2018-08-10 中国电子科技集团公司第五十四研究所 A kind of safe transmission method of physical layer based on the multinomial WFRFT of double multi-parameters
CN109450599A (en) * 2018-11-20 2019-03-08 沈阳理工大学 A kind of compatibility scan method of multinomial score field Fourier regeneration transformation
CN111614590A (en) * 2020-05-18 2020-09-01 哈尔滨工业大学 Anti-detection transmission method based on extended weighted fractional Fourier transform

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102201914B (en) * 2011-07-14 2013-10-23 哈尔滨工业大学 Secret communication method based on multi-dimensional single/multi-parameter four-weighted fractional Fourier transform
CN102340476A (en) * 2011-07-14 2012-02-01 哈尔滨工业大学 OFDM (Orthogonal Frequency Division Multiplexing) communication system based on weighted score Fourier transform expansion
CN102201914A (en) * 2011-07-14 2011-09-28 哈尔滨工业大学 Secret communication method based on multi-dimensional single/multi-parameter four-weighted fractional Fourier transform
CN102611672A (en) * 2012-04-23 2012-07-25 哈尔滨工业大学 Narrowband interference suppression method based on weighted score Fourier transform domain
CN103067318A (en) * 2012-12-25 2013-04-24 哈尔滨工业大学 Narrow-band interference restraining method based on four-term weighted score Fourier transform weighting matrix
CN103078817A (en) * 2013-01-30 2013-05-01 哈尔滨工业大学 Weighted score Fourier transform-based variable parameter spread spectrum sequence low-detection probability signal emitting and receiving method
CN103078817B (en) * 2013-01-30 2015-09-16 哈尔滨工业大学 Based on the variable element frequency expansion sequence low detection probability signal launching and receiving method of weight score Fourier conversion
CN103138776A (en) * 2013-02-21 2013-06-05 深圳市睿海智电子科技有限公司 Multiple output Zigbee launcher
CN103138776B (en) * 2013-02-21 2015-09-09 深圳市睿海智电子科技有限公司 A kind of Zigbee emitter of multi output
CN103281097A (en) * 2013-03-12 2013-09-04 深圳市睿海智电子科技有限公司 Multi-input multi-output Zigbee transmitter-receiver device
CN103326976A (en) * 2013-07-10 2013-09-25 哈尔滨工业大学 Iteration frequency domain minimum mean square error equilibrium method under double-dispersion channel based on weighted score Fourier transformation
CN103326976B (en) * 2013-07-10 2016-03-16 哈尔滨工业大学 Based on the iterative frequency-domain least mean-square error equalization methods under the double dispersive channel of weight score Fourier conversion
CN104917599A (en) * 2015-06-11 2015-09-16 哈尔滨工业大学 Weighted score Fourier transform time-spreading transmission method in simultaneous system
CN104917599B (en) * 2015-06-11 2018-03-27 哈尔滨工业大学 Transmission method when weighted score Fourier transformation expands in synchronization system
CN108390889A (en) * 2018-03-23 2018-08-10 中国电子科技集团公司第五十四研究所 A kind of safe transmission method of physical layer based on the multinomial WFRFT of double multi-parameters
CN108390889B (en) * 2018-03-23 2020-07-07 中国电子科技集团公司第五十四研究所 Physical layer secure transmission method based on double multi-parameter multi-term WFRFT
CN109450599A (en) * 2018-11-20 2019-03-08 沈阳理工大学 A kind of compatibility scan method of multinomial score field Fourier regeneration transformation
CN109450599B (en) * 2018-11-20 2021-01-12 沈阳理工大学 Compatible scanning method for Fourier regeneration transformation of multi-term fractional domain
CN111614590A (en) * 2020-05-18 2020-09-01 哈尔滨工业大学 Anti-detection transmission method based on extended weighted fractional Fourier transform
CN111614590B (en) * 2020-05-18 2022-07-15 哈尔滨工业大学 Anti-detection transmission method based on extended weighted fractional Fourier transform

Similar Documents

Publication Publication Date Title
CN101834815A (en) Method for resisting interception and inference for signals based on quadrinomial weighted fractional Fourier transform of multiple-path variable parameters
CN103441822B (en) The signal modulating method converted based on weight score Fourier conversion and energy spread
Liu et al. Asynchronous anti-noise hyper chaotic secure communication system based on dynamic delay and state variables switching
CN109818648A (en) One kind being based on the chirped multisequencing frequency hopping antijam communication method of pseudorandom
CN103746803A (en) Multi-sequence joint spectrum-spreading secret communication method based on weighted fractional Fourier transform
CN107017960A (en) A kind of AWGN wiretap channel anti-eavesdropping safeguard constructions and its implementation based on polar codes
CN103078817B (en) Based on the variable element frequency expansion sequence low detection probability signal launching and receiving method of weight score Fourier conversion
CN101345616A (en) Communication encryption and decryption method of four-item weight score Fourier transform based on multi-parameter
CN101222326B (en) Communications security and decipherment method based on four-weighted score Fourier transform
Chen et al. High data rate discrete-cosine-spreading aided M-ary differential chaos shift keying scheme with low PAPR
Ameen et al. Hyperchaotic modulo operator encryption technique for massive multiple input multiple output generalized frequency division multiplexing system
CN101741414A (en) Chirp signal-based signal transmitting and receiving method for ultra wide band secret communication
Chen et al. A research on anti-jamming method based on compressive sensing for OFDM analogous system
CN101917243B (en) Noise ultra-wideband digital secret communication system
CN108377158A (en) It is a kind of realizing spread-spectrum signal multiband segmentation and polymerization
CN102208975B (en) Signal encoding/encryption transmission method
CN101345618B (en) Encryption and decryption method for four-item weight FRFT communication based on variable parameter
CN101247142B (en) Fractional number Fourier transform domain frequency hopping signal generating and receiving method
Loginov et al. Information Scrambling by Lorenz System Based Sequences in OFDM
Swami et al. A Chaos based PN sequence generator for direct-sequence spread spectrum communication system
Wang et al. Suppressing Intentional Electromagnetic Interference (IEMI) in Wireless Communication System Using Complex Signal Spectrum Shifting Technique
Bouridah et al. Image secure transmission using chaotic synchronization
Zhang et al. A novel QAM-DCSK secure communication system
CN202772879U (en) Multiband DS-MFSK modem
CN114157322B (en) Low interception signal generation method based on weighted fractional Fourier transform

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20100915