CN106254292B - Reduction PAPR algorithm based on the distribution of stochastic filtering device in GFDM system - Google Patents
Reduction PAPR algorithm based on the distribution of stochastic filtering device in GFDM system Download PDFInfo
- Publication number
- CN106254292B CN106254292B CN201610585096.1A CN201610585096A CN106254292B CN 106254292 B CN106254292 B CN 106254292B CN 201610585096 A CN201610585096 A CN 201610585096A CN 106254292 B CN106254292 B CN 106254292B
- Authority
- CN
- China
- Prior art keywords
- gfdm
- papr
- signal
- filter
- algorithm
- Prior art date
Links
- 230000001603 reducing Effects 0.000 title claims abstract description 25
- 238000001914 filtration Methods 0.000 title claims abstract description 13
- 239000000969 carriers Substances 0.000 claims description 15
- 230000000694 effects Effects 0.000 abstract description 10
- 238000004088 simulation Methods 0.000 abstract description 4
- 238000004458 analytical methods Methods 0.000 abstract description 3
- 238000004891 communication Methods 0.000 abstract description 3
- 230000033590 base-excision repair Effects 0.000 description 23
- 238000000034 methods Methods 0.000 description 14
- 239000011159 matrix materials Substances 0.000 description 8
- 230000000051 modifying Effects 0.000 description 5
- 230000001186 cumulative Effects 0.000 description 3
- 125000004122 cyclic group Chemical group 0.000 description 3
- 238000005516 engineering processes Methods 0.000 description 3
- 238000010586 diagrams Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006011 modification reactions Methods 0.000 description 2
- 241000212893 Chelon labrosus Species 0.000 description 1
- 208000006265 Renal Cell Carcinoma Diseases 0.000 description 1
- 230000002159 abnormal effects Effects 0.000 description 1
- 230000001413 cellular Effects 0.000 description 1
- 238000006243 chemical reactions Methods 0.000 description 1
- 230000000295 complement Effects 0.000 description 1
- 230000000875 corresponding Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000004870 electrical engineering Methods 0.000 description 1
- 230000000631 nonopiate Effects 0.000 description 1
- 238000005316 response function Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
- H04L27/2618—Reduction thereof using auxiliary subcarriers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
- H04L27/2621—Reduction thereof using phase offsets between subcarriers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2626—Arrangements specific to the transmitter
- H04L27/2627—Modulators
- H04L27/264—Filterbank multicarrier [FBMC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2697—Multicarrier modulation systems in combination with other modulation techniques
Abstract
Description
Technical field
The present invention relates to the skills of the reduction PAR peak to average ratio in wireless communication field more particularly to filter bank multi-carrier technology Art.
Background technique
Currently, the standard much wirelessly communicated all relies on OFDM, it, will high speed as a kind of important multi-transceiver technology Data flow is divided into several parallel low rate data streams transmitted on different subcarriers, is effective against intersymbol interference (ISI), but OFDM still has limitation, for this purpose, the novel multi-carrier modulation technology such as GFDM comes into being.GFDM is as 5G Alternative waveform, have the advantages that many OFDM are no: data symbol can be by the two-dimentional modular structure across time domain and frequency domain It propagates, adjustable pulse shaping filter has been used to make system that there is very high flexibility etc..
But as OFDM multicarrier system, since transmitting terminal output signal is overlapped mutually, may at a time it produce Raw biggish peak power, thus GFDM system can bring higher papr, abbreviation peak-to-average force ratio (PAPR).It is theoretical The upper quantity for reducing carrier wave can largely reduce the PAPR of system, and infeasible in practical applications, so The PAPR that high degree reduces system under conditions of multicarrier is only the key solved the problems, such as.Although reducing PAPR in ofdm system Method have very much, still, due to the design feature of GFDM system, the method effect of PAPR is directly reduced in borrow ofdm system It is unsatisfactory.
Document [Sendrei L, S,Michailow N,et al.Iterative receiver for clipped GFDM signals[C]//IEEE 24th International Conference Radioelektronika.2014, pp.1-4.] using iterative receiver to GFDM receive signal handled (Clipped- GFDM), this will lead to signal distortion, although successive ignition can effectively eliminate the nonlinear noise due to caused by clipping, The number of iterations is more, and operand is also more complicated；Document [Sharifian, Z, Omidi, M.J, Farhang, A, et al.Polynomial-based compressing and iterative expanding for PAPR reduction in GFDM [C] //IEEE 23rd Conference on Electrical Engineering, 2015, pp.518-523.] it provides A kind of to be based on multinomial companding algorithm (PCT-GFDM), it is one-to-one mapping, and pass through iterative receiver mode in receiving end Restore to send end signal, however this algorithm also will increase operand while reducing PAPR and sacrifice BER performance.
GFDM multicarrier system model is as shown in Figure 1.Binary sequence b completes corresponding constellation mapping by QAM modulation, A sequence d for complex data symbol composition is obtained, after going here and there and simultaneously (S/P) converting and up-sample (Upsampling), forms the road K packet Parallel data stream d containing M symbolk={ d0,k,d1,k……dM-1,k}T, (k=0,1 ..., K-1), every road signal is with respectively The Pulse shaped filter of self-loopaIt is filtered, filter period MN, then by the centre frequency of respective subcarrier Modulation, which is superimposed to obtain again, sends signal x [n], is eventually adding cyclic prefix, is sent into signal.
Wherein,Indicate the cyclic convolution about n, n ∈ [0, MN-1], dm,kIt indicates m-th transmitted on k-th of carrier wave Complex data symbol.
According to document [Michailow N, Gaspar I, Krone S, et al.Generalized frequency division multiplexing:Analysis of an alternative multi-carrier technique for next generation cellular systems[C]//International Symposium on Wireless Communication Systems.IEEE, 2012:171-175.] GFDM module can realize with IFFT/FFT, time domain is grasped Frequency-domain operations are converted to, as shown in Fig. 2, then formula (1) can indicate are as follows:
Wherein, WMdkIndicate the FFT of M point；In a frequency domain, up-sampling treatment shows as signal replication, replicates matrix R(L)It is By L IMIt is connected in series, i.e. R(L)={ IM,IM,......,IM}T, IMFor the unit matrix of M × M；Electric-wave filter matrix Γ=diag (WLMG), g is the time sample vector of filter pulse；Up-conversion is signal multiplied by a permutation matrix P in frequency domain representation(k), P(k)According to P(1)={ ILM,0LM,0LM,...}T, P(2)={ 0LM,ILM,0LM,...}TRule analogize, wherein 0LMFor LM × The null matrix of LM.
Further, sending signal can be indicated with linear matrix are as follows:
X=Ad (3)
Here, A indicates the modulation matrix of a MN × KM.
After removing cyclic prefix (CP), the vector being made of reception sample of signal can be write as:
Y=Hx+n (4)
Wherein, H is the impulse response function of channel,Indicate that mean value is 0 and variance isAdditivity it is high This white noise vector ,~indicate equivalent；
In receiving end, channel distortion is compensated to obtain by frequency domain equalization (FDE)In order to eliminate or inhibit due to In the nonopiate caused inter-carrier interference (ICI) of intercarrier, matched-filter receiver (MF), zero-forcing receiver are usually utilized (ZF), three kinds of least mean-square error receiver (MMSE) etc. linear GFDM receivers rebuild GFDM system and send data, use IMNIt is The unit matrix of MN × MN, then has respectively:
The PAPR of GFDM system may be expressed as:
Wherein E { } indicates operation of averaging.It for convenience, can be with according to the signal after modulated on k-th of the carrier wave of formula (1) It indicates are as follows:
Since intersymbol is mutually indepedent, so xkIt is also mutually indepedent between [n], to have:
E{xk[n] }=0
X as can be seen from the above equationkThe mean value and variance of [n] are unrelated with k, according to central-limit theorem it is found that when K is enough When big, x [n] obedience mean value is 0 and variance is 2 σn 2=K σ2Multiple Gauss distribution, wherein σn 2Indicate the side of x [n] real and imaginary parts Difference.
The performance of system PAPR can with complementary error cumulative function (CCDF) indicate, it can calculate PAPR be more than to The probability of threshold value γ out.By the analysis of front, the envelope of x [n] | x [n] | Rayleigh distributed, power | x [n] |2It obeys The χ that freedom degree is 22Distribution.Enable S=| x [n] |2, then the probability density function of S are as follows:
It enablesThe then probability density function of T are as follows:
fT(t)=K σ2fS(Kσ2T)=e-t, t > 0 (12)
Then have
Since each T is independent, so the cumulative function (CDF) of PAPR can indicate are as follows:
Therefore, the complimentary cumulative function (CCDF) of the PAPR of GFDM system are as follows:
P (PAPR > γ)=1- (1-e-γ)MN (15)
The reason of high PAPR can have been generated in conjunction with GFDM system with the design feature of flexible choice filter, invent one kind The new algorithm that system PAPR is reduced based on filter is randomly assigned.
Summary of the invention
Present invention seek to address that the above problem of the prior art.Propose a kind of method.Technical scheme is as follows:
A kind of reduction PAPR algorithm based on the distribution of stochastic filtering device in GFDM system comprising following steps:
Step 1, GFDM system initialization generate the sequence C containing a K element={ c at random0, c1......ck,......cK-1, wherein ck∈{0,1}；Wherein the size of K is the sub-carrier number size of system；
Step 2, the K subcarriers signal for obtaining GFDM system select filter to be filtered simultaneously K subcarriers signal Number, works as ckWhen=0, indicates that and first filter is selected to be filtered K subcarriers signal；Work as ckWhen=1, the is selected Two filters are filtered K subcarriers signal, and wherein first filter is different from second filter type；
Step 3 obtains GFDM signal to by the filtered K subcarriers Signal averaging of step 2, calculates GFDM signal PAPR is simultaneously stored.
Further, work as c in the step 2kWhen=0, first filter selects raised cosine filter RC；Work as ckWhen=1, Second filter selects root raised cosine filter RRC.
Further, the K subcarriers signal of GFDM system described in the step 2 includes the parallel data stream of M symbol dk={ d0,k,d1,k……dM-1,k}T, (k=0,1 ..., K-1).
Further, step 3 calculates the step of PAPR of GFDM signal specifically: firstly, calculating separately this N number of data symbols Number power, maximum value power therein is selected, secondly, the mean power of GFDM signal is calculated, finally, by maximum value power The PAPR for obtaining GFDM is compared with mean power.
It advantages of the present invention and has the beneficial effect that:
The basic reason for leading to PAPR in multi-carrier systems is that sub-carrier signal is continuously superimposed, when sub-carrier phase is consistent When just will appear higher peak power.In traditional GFDM system, every subcarriers with identical filter to signal into Row processing, this will increase the consistent probability of sub-carrier phase.For this purpose, herein according to different filters phase-frequency characteristic it is different this Feature proposes a kind of new method for reducing PAPR.By being randomly assigned different filters to each subcarrier, between subcarrier Complex data symbol introduce out of phase offset vector, high degree destroy sub-carrier phase it is consistent, thus effectively inhibit PAPR, The program is known as being based on stochastic filtering device allocation algorithm (RAF-GFDM).Two kinds of raised cosine filters common and that effect is good are selected herein Wave device (RC) and root raised cosine filter (RRC) can share in this way when system is realized with other modules.
Compared by the complexity of several different drop PAPR algorithms, it can be seen that margining amplitude technique does not increase additional complexity Degree, but PAPR is reduced with the bit error rate performance of sacrificial system；The computation complexity of PCT algorithm is increased slightly, but its same limit Width method is the same, will increase the bit error rate of system.SLM algorithm is a linear process, will not bring signal distortion, complexity It is moderate, but the effect for reducing PAPR does not protrude；And algorithm proposed in this paper is equally linear process, though reducing PAPR's There is no that margining amplitude technique and PCT algorithm are prominent in effect, but win and increase additional calculating cost no, and to the bit error rate almost without It influences, there is higher practical application value.
Detailed description of the invention
Fig. 1 is that the present invention provides preferred embodiment GFDM transmitting terminal system model.
Fig. 2 GFDM signal sending end frequency domain handles model
Fig. 3 RAF-GFDM process flow diagram
PAPR performance under Fig. 4 difference rolloff-factor
Fig. 5 PAPR reducing effect comparison diagram
BER performance compares under MF in Fig. 6 Gaussian channel
BER performance compares under ZF in Fig. 7 Gaussian channel
BER performance compares under MMSE in Fig. 8 Gaussian channel
BER performance in Fig. 9 walking multipath channel under MF compares
BER performance in Figure 10 walking multipath channel under ZF compares
BER performance in Figure 11 walking multipath channel under MMSE compares
The BER performance of algorithms of different in Figure 12 Gaussian channel
The BER performance of algorithms of different in Figure 13 walking multipath channel
1 transmitting terminal computational complexity of table compares
2 simulation parameter of table
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, detailed Carefully describe.Described embodiment is only a part of the embodiments of the present invention.
Technical scheme is as follows:
Two kinds of raised cosine filters (RC) and root raised cosine filter (RRC) common and that effect is good are selected herein, in this way It can be shared with other modules when system is realized.Specific step is as follows:
(1) firstly, generating the binary sequence C comprising K element at randomk∈ { 0,1 }, k ∈ [0, K-1].
(2) then, filter is numbered, works as CkWhen=1, RCC filter is selected to carry out kth subcarriers signal Otherwise filtering selects RC filter to be filtered kth subcarriers signal.
(3) finally, the road-load wave of K is superimposed to obtain GFDM signal, PAPR is calculated.
Next the complexity of RAF-GFDM above is analyzed, to compare, we also give OFDM and tradition The complexity of GFDM system, Clipped-GFDM system, PCT-GFDM, SLM-GFDM system etc..With reference to formula (2), GFDM is generated The step of signal needs is as follows:
(1) FFT of K M point；
(2) K filtering, primary filtering carry out LM plural multiplication；
(3) plural number of K MN point adds operation；
(4) IFFT of K MN point.
We use plural multiplication CMThe complexity of measurement system, so the complexity of traditional GFDM system can indicate Are as follows:
It is proposed in this paper based on the algorithm for being randomly assigned filter, compared to traditional GFDM system, only in signal It is varied in filtering processing step, but there is no the operation costs for increasing system, so:
As shown in table 2, the complexity for giving several different drop PAPR algorithms compares, it can be seen that margining amplitude technique does not increase Add additional complexity, but PAPR is reduced with the bit error rate performance of sacrificial system；The computation complexity of PCT algorithm slightly increases Add, but it is the same with margining amplitude technique, will increase the bit error rate of system.SLM algorithm is a linear process, and signal will not be brought abnormal Become, complexity is also moderate, but the effect for reducing PAPR does not protrude；And algorithm proposed in this paper is equally linear process, though There is no margining amplitude technique and PCT algorithm prominent in the effect for reducing PAPR, but wins and increase additional calculating cost no, and is right The bit error rate has little effect, and has higher practical application value.
Herein by every subcarriers are randomly assigned with different filter RC and RRC, it is intended to destroy K subcarriers signal The consistency of phase, the probability for making each sub-carrier signal occur peak power when continuously superposition are reduced.In order to analyze herein The performance of method, we and tradition GFDM, the iteration margining amplitude technique (Clipped-GFDM) of document [15] proposition, multinomial companding method (PCT-GFDM) and Choose for user algorithm (SLM-GFDM) carries out emulation comparison.Channel includes Gaussian channel and walking multipath letter Road, is respectively adopted tri- kinds of reception modes of MF, ZF, MMSE, and other simulation parameters of this paper are as shown in table 2.
Fig. 3 is influence of the rolloff-factor of filter to RAF-GFDM system PAPR.It was noticed that RAF-GFDM system PAPR performance and institute's selecting filter rolloff-factor (roll-off) it is related, be not to be the bigger the better, nor the smaller the better, But general impacts are not too big.So the RAF- that we need that suitable rolloff-factor is selected to make system in practical applications The PAPR performance of GFDM system is optimal.
Fig. 4 compares the method for different reduction PAPR, it was noted that the PAPR of GFDM system is slightly above OFDM accelerates the attenuation outside a channel of system this is because GFDM has used more flexible filter, i.e. RRC, RC etc..Assuming that using Be normalized filter, then the mean power of GFDM signal will be less than ofdm signal, so the PAPR of GFDM is compared OFDM can increased.We can also be seen that method proposed in this paper can be effectively reduced compared with tradition GFDM simultaneously The PAPR of GFDM system.In addition, although Clipped-GFDM scheme and PCT-GFDM scheme reduce the performance of PAPR better than herein The algorithm of proposition, but both algorithms belong to nonlinear operation, not only complexity is higher, can also seriously affect system BER performance.Further, we also make comparisons with the Choose for user algorithm (SLM) for being all linear operation, the PAPR drop of context of methods Inefficient fruit is better than SLM algorithm.
Fig. 6 and Fig. 7, study in Gaussian channel and walking multipath channel respectively RAF-GFDM system proposed in this paper MF, The BER performance of tri- kinds of ZF, MMSE reception modes, and make ratio with a kind of BER performance for the traditional GFDM system for only using filter Compared with.It was noticed that no matter the BER of the RAF-GFDM system under Gaussian channel or walking multipath channel, MF reception mode Performance curve is all between the BER performance curve of traditional GFDM system that RC or RRC is used alone.And it is worth noting that, Receive mode according to ZF and MMSE, when signal-to-noise ratio (SNR) is lower, the BER performance curve of RAF-GFDM system still between It is used alone between the BER performance curve of traditional GFDM system of RC or RRC；But the RAF-GFDM system in middle high s/n ratio BER performance can slightly nearly, this explanation when noise is relatively high, BER is bigger by the poor filters affect of performance.It is comprehensive It is upper described, it is proposed in this paper smaller on the influence of the BER performance of GFDM system based on the algorithm for being randomly assigned filter.
Fig. 8 and Fig. 9 is respectively to use different reduction PAPR methods in Gaussian channel and walking multipath channel in GFDM system BER performance compare.It can be seen from the figure that proposed in Clipped-GFDM method and document [16] that document [15] proposes The BER performance of PCT algorithm has obvious variation, because both algorithms belong to non-linear process, the PAPR for reducing system is To sacrifice BER performance as cost；RAF-GFDM algorithm proposed in this paper can but reduce system under the premise of ensureing BER performance The PAPR of system.
Table 1 is that transmitting terminal computational complexity compares
Table 1
Table 2 is simulation parameter
Table 2
The above embodiment is interpreted as being merely to illustrate the present invention rather than limit the scope of the invention.? After the content for having read record of the invention, technical staff can be made various changes or modifications the present invention, these equivalent changes Change and modification equally falls into the scope of the claims in the present invention.
Claims (4)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610585096.1A CN106254292B (en) | 2016-07-22 | 2016-07-22 | Reduction PAPR algorithm based on the distribution of stochastic filtering device in GFDM system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610585096.1A CN106254292B (en) | 2016-07-22 | 2016-07-22 | Reduction PAPR algorithm based on the distribution of stochastic filtering device in GFDM system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106254292A CN106254292A (en) | 2016-12-21 |
| CN106254292B true CN106254292B (en) | 2019-03-08 |
Family
ID=57604638
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610585096.1A CN106254292B (en) | 2016-07-22 | 2016-07-22 | Reduction PAPR algorithm based on the distribution of stochastic filtering device in GFDM system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106254292B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107426129A (en) * | 2017-07-10 | 2017-12-01 | 北京邮电大学 | A kind of modulation, demodulation method and the device of GFDM signals |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107181712A (en) * | 2017-04-26 | 2017-09-19 | 重庆邮电大学 | A kind of GFDM signal PAPR suppressing methods based on pre-coding matrix |
| CN108462559A (en) * | 2018-03-16 | 2018-08-28 | 西安电子科技大学 | The method that out-of-band radiation is reduced based on IA-PFT in GFDM systems |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1448011A (en) * | 2000-06-20 | 2003-10-08 | 电力波技术公司 | System and method for peak power reduction in multiple carrier communications systems |
| CN102263766A (en) * | 2011-08-29 | 2011-11-30 | 清华大学 | Frequency division multiple access method of variable-bandwidth FMT (frequency modulated transmitter) based on single-carrier transmission |
| CN104823402A (en) * | 2012-11-29 | 2015-08-05 | 交互数字专利控股公司 | Reduction of spectral leakage in OFDM system |
| CN105450577A (en) * | 2015-12-03 | 2016-03-30 | 东南大学 | Filter bank multi-carrier visible light communication system and method based on DC (Direct Current) bias |
| CN105530217A (en) * | 2016-01-26 | 2016-04-27 | 哈尔滨工业大学 | Signal emission and reception method of GFDM system based on weight fraction Fourier transform |
| CN105612725A (en) * | 2013-08-23 | 2016-05-25 | 阿尔卡特朗讯 | Receiver and receive method for a filtered multicarrier signal |
-
2016
- 2016-07-22 CN CN201610585096.1A patent/CN106254292B/en active IP Right Grant
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1448011A (en) * | 2000-06-20 | 2003-10-08 | 电力波技术公司 | System and method for peak power reduction in multiple carrier communications systems |
| CN102263766A (en) * | 2011-08-29 | 2011-11-30 | 清华大学 | Frequency division multiple access method of variable-bandwidth FMT (frequency modulated transmitter) based on single-carrier transmission |
| CN104823402A (en) * | 2012-11-29 | 2015-08-05 | 交互数字专利控股公司 | Reduction of spectral leakage in OFDM system |
| CN105612725A (en) * | 2013-08-23 | 2016-05-25 | 阿尔卡特朗讯 | Receiver and receive method for a filtered multicarrier signal |
| CN105450577A (en) * | 2015-12-03 | 2016-03-30 | 东南大学 | Filter bank multi-carrier visible light communication system and method based on DC (Direct Current) bias |
| CN105530217A (en) * | 2016-01-26 | 2016-04-27 | 哈尔滨工业大学 | Signal emission and reception method of GFDM system based on weight fraction Fourier transform |
Non-Patent Citations (2)
| Title |
|---|
| Low Peak-to-Average Power Ratio for Next Generation Cellular Systems with Generalized Frequency Division Multiplexing;Nicola Michailow and Gerhard Fettweis;《IEEE International Symposium on Intelligent Signal Processing and Communications Systems》;20131115;651-655 |
| Polynomial-Based Compressing and Iterative Expanding for PAPR Reduction in GFDM;Zahra Sharifian;《2015 23rd Iranian Conference on Electrical Engineering (ICEE)》;20151231;518-523 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107426129A (en) * | 2017-07-10 | 2017-12-01 | 北京邮电大学 | A kind of modulation, demodulation method and the device of GFDM signals |
| CN107426129B (en) * | 2017-07-10 | 2019-12-27 | 北京邮电大学 | Method and device for modulating and demodulating GFDM signal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106254292A (en) | 2016-12-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10230558B2 (en) | System and method for controlling combined radio signals | |
| Wang et al. | An overview of peak-to-average power ratio reduction techniques for OFDM Signals | |
| Yang et al. | PAPR reduction using low complexity PTS to construct of OFDM signals without side information | |
| Baig et al. | DCT precoded SLM technique for PAPR reduction in OFDM systems | |
| Lele et al. | Channel estimation with scattered pilots in OFDM/OQAM | |
| Petropulu et al. | Blind OFDM channel estimation through simple linear precoding | |
| Wang et al. | A low-complexity PAPR reduction scheme for SFBC MIMO-OFDM systems | |
| Li et al. | Robust channel estimation for OFDM systems with rapid dispersive fading channels | |
| Zhou et al. | Finite-alphabet based channel estimation for OFDM and related multicarrier systems | |
| Al-Naffouri | An EM-based forward-backward Kalman filter for the estimation of time-variant channels in OFDM | |
| CN100556012C (en) | The frequency domain equalization of single-carrier signal | |
| Li et al. | Subspace-based blind channel estimation for OFDM by exploiting virtual carriers | |
| Huemer et al. | Non-systematic complex number RS coded OFDM by unique word prefix | |
| KR20100007992A (en) | Pilot transmission and channel estimation with pilot weighting | |
| US20030073464A1 (en) | Space-time coded transmissions within a wireless communication network | |
| Wang et al. | Low-complexity selected mapping schemes for peak-to-average power ratio reduction in OFDM systems | |
| KR20070018504A (en) | Apparatus and method for reducing peak to average power ratio in ofdm communication system | |
| Sengar et al. | Performance improvement in OFDM system by PAPR reduction | |
| CN104769875A (en) | Highly-spectrally-efficient transmission using orthogonal frequency division multiplexing | |
| US8483296B2 (en) | OFDM peak-to-average power ratio reduction method | |
| Praveenkumar et al. | Regulated OFDM-role of ECC and ANN: A review | |
| WO2003092197A1 (en) | Apparatus and method for transmitting and receiving side information of a partial transmit sequence in an ofdm communication system | |
| CN101336534B (en) | Dynamic interleaving method and device | |
| CN106302298B (en) | A method of eliminating OFDM underwater sound communication system clipped noise | |
| CN101355541B (en) | Blocking equalizing method for OFDM system under Quick-Change channel condition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| C06 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| C10 | Entry into substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |