CN1665232A - Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation - Google Patents

Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation Download PDF

Info

Publication number
CN1665232A
CN1665232A CN 200510038647 CN200510038647A CN1665232A CN 1665232 A CN1665232 A CN 1665232A CN 200510038647 CN200510038647 CN 200510038647 CN 200510038647 A CN200510038647 A CN 200510038647A CN 1665232 A CN1665232 A CN 1665232A
Authority
CN
China
Prior art keywords
soft
bit
interpolation
variance
look
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.)
Granted
Application number
CN 200510038647
Other languages
Chinese (zh)
Other versions
CN100518163C (en
Inventor
高西奇
尤肖虎
王闻今
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.)
Huawei Technologies Co Ltd
Original Assignee
Southeast University
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 Southeast University filed Critical Southeast University
Priority to CNB2005100386474A priority Critical patent/CN100518163C/en
Publication of CN1665232A publication Critical patent/CN1665232A/en
Priority to KR20050123521A priority patent/KR100771996B1/en
Application granted granted Critical
Publication of CN100518163C publication Critical patent/CN100518163C/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a method for fast implementing soft demodulation and soft modulation in the high-order quadrature amplitude modulation (QAM), relating to a mobile communication method of high speed data transmission adopting the QAM. And its soft demodulation implementing method adopts the fast table looking-up method, containing the below steps: firstly generating and storing the look-up table used by the soft demodulation, normalizing receipt signal and noise variance according to channel corresponding coefficients, quantizing the normalized receipt signal and making table look-up or table look-up combined with interpolation for the quantized signal, multiplying the value obtained after the table look-up by the normalized noise variance to obtain the needed bit likehood ratio; the soft modulating method includes the following steps: making converting calculation on the bit likehood ratio and according to the linear relation between character and bit mapped by natural QAM, and according to mean value and variance of the bit, calculating the mean value and variance of the character.

Description

The Fast implementation of soft demodulation soft system in the high-order orthogonal amplitude modulation(PAM)
Technical field
The present invention relates to a kind ofly, relate in particular to the high speed data transfer method of mobile communication of a kind of employing high-order QAM (quadrature amplitude modulation) modulation by using a plurality of send/receive antennas to come the wide-band mobile communication system of transmitting high speed data.
Background technology
Future broadband wireless communication systems not only requires high speed data transfer, and demanding spectrum utilization efficiency.High order modulation is a kind of effective means that wireless communication system is realized the high availability of frequency spectrum.And strong error control codings such as Turbo code, LDPC sign indicating number can be strengthened the antijamming capability of communication system widely, so the Bit Interleave coded modulation becomes an important baseband processing method of wireless communication system.In this type systematic, decoder need come the bit likelihood ratio of self-detector (demodulator), and especially under the situation of high order modulation, demodulation still is the process of a relative complex.
In some communication systems, comprise wired communication system and wireless communication system, adaptive coding and modulating is to improve an important technology of system works efficient.The operation principle of adaptive coding and modulating is according to channel condition, adjusts modulation and coded system adaptively to improve the power efficiency and the spectrum efficiency of system.But at receiving terminal, the demodulation method of various modulation is not quite similar, and complexity is difference to some extent also, and traditional demodulation method is unfavorable for realizing adaptive demodulation flexibly.The present invention uses the method table look-up or table look-up in conjunction with heterogeneous formula interpolation to realize quick realization to soft demodulation having reduced complexity effectively.
In a lot of iterative detection decoding systems, need mean variance, can be used for having the MMSE detection of prior information or the detection of Interference Cancellation according to the soft information reconstruction signal of decoder feedback.But when order of modulation is too high, from the complexity of bit likelihood ratio reconstruction signal mean variance still than higher.
Summary of the invention
Technical problem: the objective of the invention is to propose the low complex degree implementation method of soft demodulation in a kind of high-order orthogonal amplitude modulation(PAM) (promptly calculating the bit likelihood ratio) and soft system (promptly according to bit likelihood ratio compute sign statistic), be suitable for use in the qam mode of inphase/orthogonal according to signal measured value and noise variance.
Technical scheme: the implementation method of the soft demodulation in the high-order orthogonal amplitude modulation(PAM) of the present invention in the Fast implementation of soft demodulation soft system adopts fast zoom table implementation method, and it comprises following steps:
Step 1), generate and preserve the used look-up table of soft demodulation earlier,
Step 2), carry out normalized with noise variance to received signal, according to the channel corresponding coefficient
Step 3), the received signal of normalized is quantized,
Step 4), the signal after quantizing is tabled look-up or tabled look-up in conjunction with interpolation, the likelihood ratio that promptly obtains required bit with normalized noise variance on duty that obtains after tabling look-up.
Soft system method in the high-order orthogonal amplitude modulation(PAM) comprises following steps:
Step 4), the bit likelihood ratio is carried out conversion Calculation,
Step 5), according to the linear relationship of natural QAM mapped symbol and bit, according to the average of bit and the average and the variance of variance compute sign, if this QAM mapping mode is the nature mapping, then step 4) can be omitted.
Normalized comprises following steps:
Step 1), signal normalization: with the received signal value divided by the channel gain coefficient,
Step 2), variance normalization: with noise variance value divided by the channel gain coefficient.
The Fast implementation of tabling look-up in conjunction with interpolation of soft demodulation comprises following steps:
1), carries out normalized with noise variance to received signal, according to the channel corresponding coefficient
2), normalized received signal is quantized, estimate quantization error simultaneously,
3), the signal after quantizing is tabled look-up, obtain the error term coefficient simultaneously, it revised with the method for interpolation,
4), revised value multiply by normalized noise variance again and promptly obtains required bit likelihood ratio.
When the signal after quantizing is tabled look-up, obtain the error term coefficient simultaneously, the interpolation method in the method for interpolation it being revised is to use linear interpolation, or reaches the more interpolation of high-order with quadratic interpolation.
1. high-order QAM is modulated soft demodulation
Modulation is one group of Bit data a 0a 1A 2n-1Be mapped to complex symbol s, we use the QAM modulation of inphase/orthogonal, i.e. the real part s of s usually RWith imaginary part s 1Respectively by bit a 0a 1A N-1And a nA 2n-1Mapping forms.Signal through channel equalization or interference-cancelled signals detection etc., always can be expressed as the equivalent transmission channel of signal at receiving terminal at transmission and channel (comprising various transmission meanss and various channel) through communication system:
R=ρ s+n [1] wherein, ρ represents the gain coefficient of real signal terms, n represents remaining interference and noise.Usually the decoder of error control coding needs the likelihood ratio of bit of demodulator as input.We can separate the real part of signal and imaginary part, and formula [1] becomes:
Re(r)=ρ·Re(s)+Re(n)
[2]
Im(r)=ρ·Im(s)+Im(n)
According to following formula, we can do demodulation independently to two paths of signals and calculate likelihood ratio.We are example with the in-phase component, the process of the demodulation of deriving.If bit a 0A N-1Be mapped to real symbol s, corresponding real received signal is r not, gain coefficient ρ, and multiple noise variance is σ 2The likelihood ratio of definition demodulator output is
L ( a i | r ) = ln ( P ( a i = + 1 | r ) P ( a i = - 1 | r ) ) = ln ( Σ s : a i = + 1 P ( r | s ) · Π j ≠ i P ( a j ) Σ s : a i = - 1 P ( r | s ) · Π j ≠ i P ( a j ) ) + L ( a i ) - - - [ 3 ]
L (a in the following formula j) and P (a j) represent bit a respectively jPrior information and prior probability.Be without loss of generality, suppose that bit is 0 and 1 etc. general, by Gauss's hypothesis of noise, we can obtain again:
L ( a i | r ) = ln ( Σ α : a i = + 1 exp ( | r - ρ · α | 2 σ 2 ) Σ α : a I = - 1 exp ( | r - ρ · α | 2 σ 2 ) ) - - - [ 4 ]
According to ln ( e x 1 + e x 2 ) = max * ( x 1 , x 2 ) = max ( x 1 , x 2 ) + ln ( 1 + e - | x 1 - x 2 | ) , Obtain:
L ( a i | r ) = max α : a i = + 1 * { - | r - ρ · α | 2 σ 2 } - max α : a i = - 1 * { - | r - ρ · α | 2 σ 2 } - - - [ 5 ]
Usually we calculate the likelihood ratio of each bit with formula [5], finish the function of demodulation.
2. high-order QAM is modulated the realization fast of tabling look-up of soft demodulation
We see, calculate the bit likelihood ratio with formula [5], and complexity is exponential increase with order of modulation, and operand is very big.We use max (x 1, x 2) ≈ max* (x 1, x 2) formula [5] is simplified, further can obtain:
L ( a i | r ) = max α : a i = + 1 { - | r - ρ · α | 2 σ 2 } - max α : a i = - 1 { - | r - ρ · α | 2 σ 2 }
= ρ 2 σ 2 · { max α : a i = + 1 { - | r / ρ - α | 2 } - max α : a i = - 1 { - | r / ρ - α | 2 } } - - - [ 6 ]
= ρ 2 σ 2 · f ( r / ρ )
Wherein, f (x) can realize that the soft demodulation of different modulation systems can be made different tables with the method for tabling look-up.If according to the p bit quantization, f (x) realizes doing one 2 with tabling look-up so with normalized received signal r '=r/ ρ for we pThe table of length.Different modulation systems only need be made different tables in advance, is placed in the memory, is worth the soft demodulation that can realize the different modulating mode accordingly according to the different modulating form that sends signal from corresponding table.Fig. 1 has described the basic process of the soft demodulation of high order modulation, at first will carry out normalization to received signal, then it is tabled look-up after quantizing, and can obtain the bit likelihood ratio after multiply by corresponding coefficient again.
We can see that here the size of table is exponential increase with quantizing exponent number.If the quantification exponent number of r ' is higher, Biao size will increase greatly so, to such an extent as to the raising of complexity.If quantize to table look-up and comparatively accurate r ' is carried out low order, can cause the loss of performance again, for the performance that obtains with low complex degree, we use to table look-up and in conjunction with the method for polynomial interopolation soft demodulating method are improved, its basic principle is that r ' is carried out quantizing according to the precision of look-up table, utilizes the value after polynomial interopolation obtains upgrading after tabling look-up.
Fig. 2 tables look-up to realize the fundamental block diagram of soft demodulation in conjunction with linear interpolation the following narration of cardinal principle: if r ' precision is higher than the quantification exponent number and drops between adjacent two point of quantification, with linear interpolation f (r ') ≈ f (q (r '))+f 1(q (r ')) (r '-q (r ')) obtain being worth more accurately.Similarly, also can carry out 2 rank or the interpolation of high-order more.Quantizer can adopt further the dwindling of size of its acquisition table of method of nonlinear quantization.
3. high-order QAM is modulated soft system
In some iterative detection decoding methods, require to carry out the reconstruction of average and variance according to the bit likelihood ratio of decoder feedback through regular meeting.Just be+1 or-1 probability according to each bit, calculating and sending signal is the probability of each symbol in the assemble of symbol, thereby calculates the average and the variance of signal.Mean variance according to bit likelihood ratio signal calculated is as follows:
E [ s ] = Σ α α · P ( s = α ) - - - [ 7 ]
cov [ s ] = Σ α | α | 2 · P ( s = α ) - E [ s ] 2 - - - [ 8 ]
If symbol is by bit d 0, d 1... d Mc-1Mapping forms, then:
P ( s = α ) = Π k = 0 M C - 1 1 2 [ 1 + d ~ k · tanh ( L ( d k ) / 2 ) ] - - - [ 9 ]
Wherein, This bit was worth accordingly when expression s was symbol.
Can see, under the situation of high order modulation, need to calculate the probability of each symbol, the average and the variance of ability reconstruction signal, complexity is along with the bit number of each symbol is exponential increase.Complexity rises widely when order of modulation is high, and the difficulty that makes hardware realize increases greatly.
The present invention is directed to the QAM modulation of nature mapping or gray mappings, the mean variance computational methods of having invented low complex degree.This method is regarded general QAM modulation as two stages: the first step is a linearity of bit sequence or the process of non-linear block encoding, such as identical transformation is arranged, Gray codes etc., second step was a Linear Mapping device, i.e. the expression of the modulation symbol bit sequence linearity that can be obtained by the first step.Accordingly, soft system process can be divided into two steps, the first step is carried out the conversion of bit likelihood ratio with the log-likelihood ratio of bit according to the rule of conversion, and the bit log-likelihood ratio of second step after by conversion obtains average and the variance according to the reconstruction of relations signal of Linear Mapping.This method has avoided calculating according to bit log-likelihood ratio this step of probability of all symbols, can reduce the complexity that mean variance calculates effectively.
Beneficial effect: advantage of the present invention is to use to quantize/table look-up to be implemented in fast under the situation that does not reduce performance and makes complexity reduce widely, especially under the situation of high order modulation.And only need change in the table value accordingly to different modulation systems, flexibility strengthens widely.And soft system is separated into the conversion of bit likelihood ratio and two processes of statistic calculating make the computation complexity of sign statistic reduce effectively.
The fast zoom table of the soft demodulation of high-order QAM among the present invention realizes having following advantage:
1. reduced the complexity that QAM modulates soft demodulation widely, especially under the situation of high-order QAM modulation.
Property retention suffer a loss hardly.
3. use under the situation of different modulation systems at transmitting terminal, the soft demodulation of receiving terminal can be carried out under same framework and have identical complexity, helps realizing the reception of Adaptive Modulation.
4. make that the non-regular QAM mapping of high complexity has with the identical complexity of regular QAM mapping originally, make the selection of mapping mode more diversified.
The low complex degree that high-order QAM symbol mean variance among the present invention calculates is realized having the following advantages:
Greatly reduced the complexity of mean variance computational process.
2. shining upon among the QAM naturally, complexity is reduced to linear growth with bit number by exponential increase.
Soft demodulation realizes fast with quantification/look-up method among the present invention, not only effectively reduces complexity, and the realization of different modulating mode only need to change mapping table just passable, can realize Adaptive Modulation comparatively neatly.This method is suitable for use in the communication system of any qam mode, especially in inphase/orthogonal QAM system.Soft system of the present invention is that the calculating of sign statistic (generally including the average and the variance of symbol) is divided into the conversion of bit likelihood ratio and mean variance calculates two steps, this method can effectively reduce complexity, is suitable for use in the qam mode of inphase/orthogonal.
Description of drawings
Fig. 1 tables look-up to realize the fundamental block diagram of soft demodulation.
Fig. 2 tables look-up to realize the fundamental block diagram of soft demodulation in conjunction with linear interpolation.
Fig. 3 is a gray mappings soft system block diagram.
Embodiment
The implementation method of soft demodulation adopts fast zoom table implementation method, and it comprises following steps:
Step 1), according to formula [6], calculate earlier, generate and preserve the used look-up table of soft demodulation according to certain quantization digit.
Step 2), carry out normalized with noise variance to received signal, as shown in Figure 1, received signal r obtains the ρ reciprocal of normalization received signal r '=r/ ρ and normalization noise variance at first by channel gain coefficient ρ normalization according to the channel corresponding coefficient 2/ σ 2
Step 3), the received signal of normalized is quantized, quantification can be used uniform quantization and non-uniform quantizing.
Step 4), the signal q (r ') after quantizing is tabled look-up, the inverse with normalized noise variance on duty that obtains after tabling look-up promptly obtains the log-likelihood ratio of soft demodulation corresponding bits, can or send into decoder for decoding for judgement.
The Fast implementation of tabling look-up in conjunction with interpolation of soft demodulation comprises following steps:
1), carries out normalized with noise variance to received signal, according to the channel corresponding coefficient
2), normalized received signal is quantized, estimate quantization error simultaneously,
3), the signal after quantizing is tabled look-up, obtain the error term coefficient simultaneously, it revised with the method for interpolation,
4), revised value multiply by normalized noise variance again and promptly obtains required bit likelihood ratio.
When the signal after quantizing is tabled look-up, obtain the error term coefficient simultaneously, the interpolation method in the method for interpolation it being revised is to use linear interpolation, or reaches the more interpolation of high-order with quadratic interpolation.
High-order QAM is soft separates the quick implement device of application form/interpolation as shown in Figure 2, and received signal r obtains normalization and receives coefficient r ' at first by channel gain coefficient ρ normalization, then it is quantized, and quantification can be used uniform quantization and non-uniform quantizing.In look-up table, find corresponding value according to the value q (r ') after quantizing, calculate quantization error r '-q (r ') then, and in another look-up table, find corresponding coefficient f 1(q (r ')) is with this coefficient f 1(q (r ')) and quantization error are revised the value of f (q (r ')).
In actual hardware was realized, data all were that form with quantized data exists in hardware usually.If the number of significant digit of received signal and corresponding coefficient lower (close) own with the look-up table quantization digit, look-up table can't be too big so, therefore first kind of mode is proper, if the number of significant digit higher (much larger than the look-up table quantization digit) of received signal and corresponding coefficient itself, quantification can cause the loss of data precision so by force, in this case, use to table look-up/method of interpolation combination can overcome above-mentioned shortcoming, obtain high-precision performance with lower complexity.
Soft system method in the high-order orthogonal amplitude modulation(PAM) comprises following steps:
Step 4), the bit likelihood ratio is carried out conversion Calculation,
Step 5), according to the linear relationship of natural QAM mapped symbol and bit, according to the average of bit and the average and the variance of variance compute sign, if this QAM mapping mode is the nature mapping, then step 4) can be omitted.
Be embodiment with mapping and gray mappings naturally below, specify the job step that soft system (promptly according to bit likelihood ratio compute sign statistic) is installed.
1, mapping naturally
Common natural mapped bits b k(get ± 1) can describe with a linear representation with the relation between the symbol s, as follows:
s = Σ k = 0 M C - 1 c k · b k - - - [ 10 ]
Then owing to the independence between the bit, the average of symbol and variance can be expressed as follows:
E [ s ] = Σ k = 0 M C - 1 c k · E [ b k ] - - - [ 11 ]
cov [ s ] = Σ k = 0 M C - 1 | c k | 2 · E [ b k 2 ] - E [ s ] 2 - - - [ 12 ]
E[b wherein k]=tanh (L (b k)/2), E [ b k 2 ] = 1 .
2, gray mappings
Because gray mappings can not be described the relation between bit and the symbol with a linear relationship, but it can be separated into a Gray encoder and a natural mapper, we can change likelihood ratio by Gray encoder, again by shining upon the average and the variance of compute sign naturally.
Fig. 3 has described the mean variance calculation process of gray mappings, mainly is divided into two parts, at first its bit likelihood ratio is changed according to Gray code, and then according to formula [10], [11], [12] calculate the average and the variance of nature mapping.
Usually the bit sequence Gray code can be expressed with following formula:
a 0 = b 0 a k = b k ⊕ b k - 1 ⊕ 1 k ≠ 0 - - - [ 13 ]
Represent b in the formula kBit before the Gray code, a kBit after the expression Gray code.According to this relation, we can calculate the relation between the likelihood ratio
L ( a 0 ) = L ( b 0 ) L ( a k ) = 1 / 2 · max * { - L ( b k ) - L ( b k - 1 ) , L ( b k ) + L ( b k - 1 ) } - 1 / 2 · max * { - L ( b k ) + L ( b k - 1 ) , L ( b k ) - L ( b k - 1 ) } k ≠ 0 - - - [ 14 ]
In the formula max * ( x 1 , x 2 ) = max ( x 1 , x 2 ) + ln ( 1 + e - | x 1 - x 2 | ) , Can use max (x 1, x 2) approach.Mathematical function tanh (x) realizes with the mode of tabling look-up in engineering usually.
The quick realization of the high-order QAM soft system among the present invention has reduced the complexity of rebuilding symbol average and variance according to the bit likelihood ratio widely, especially when order of modulation height or use Linear Mapping.Its performance near or equal optimum computational methods.
The fast zoom table of the soft demodulation of high-order QAM among the present invention realizes being applied in the system of all kinds of use high-order QAM modulation, be fit to be applied to all kinds of use high-order QAM mapping communication systems, comprise wired communication system and wireless communication system, be suitable for various transmission means communication systems, comprise transmission systems such as single antenna, many antennas, single carrier, multicarrier, both can be used for regular mapping graph, also can be used for the mapping graph of non-rule.
The quick realization of the high-order QAM soft system among the present invention can be applied in the modulation of all kinds of use high-order QAMs and need the system of compute sign average and variance, comprises the iterative detection decoding that uses linear detector in the interference cancellation multi-user detector, multiaerial system of MMSE in the MMSE Turbo equilibrium that has prior information, the cdma system or matched filtering etc.

Claims (4)

1. the Fast implementation of soft demodulation soft system in the high-order orthogonal amplitude modulation(PAM) is characterized in that the implementation method of soft demodulation adopts fast zoom table implementation method, and it comprises following steps:
Step 1), generate and preserve the used look-up table of soft demodulation earlier,
Step 2), carry out normalized with noise variance to received signal, according to the channel corresponding coefficient
Step 3), the received signal of normalized is quantized,
Step 4), the signal after quantizing is tabled look-up or tabled look-up in conjunction with interpolation, the likelihood ratio that promptly obtains required bit with normalized noise variance on duty that obtains after tabling look-up;
Soft system method in the high-order orthogonal amplitude modulation(PAM) comprises following steps:
Step 4), the bit likelihood ratio is carried out conversion Calculation,
Step 5), according to the linear relationship of natural QAM mapped symbol and bit, according to the average of bit and the average and the variance of variance compute sign, if this QAM mapping mode is the nature mapping, then step 4) can be omitted.
2. the Fast implementation of soft demodulation soft system in the high-order orthogonal amplitude modulation(PAM) according to claim 1 is characterized in that normalized comprises following steps:
Step 1), signal normalization: with the received signal value divided by the channel gain coefficient,
Step 2), variance normalization: with noise variance value divided by the channel gain coefficient.
3. the Fast implementation of soft demodulation soft system in the high-order orthogonal amplitude modulation(PAM) according to claim 1 is characterized in that the Fast implementation of tabling look-up in conjunction with interpolation of soft demodulation comprises following steps:
1), carries out normalized with noise variance to received signal, according to the channel corresponding coefficient
2), normalized received signal is quantized, estimate quantization error simultaneously,
3), the signal after quantizing is tabled look-up, obtain the error term coefficient simultaneously, it revised with the method for interpolation,
4), revised value multiply by normalized noise variance again and promptly obtains required bit likelihood ratio.
4. the Fast implementation of soft demodulation soft system in the high-order orthogonal amplitude modulation(PAM) according to claim 3, when it is characterized in that the signal after quantizing tabled look-up, obtain the error term coefficient simultaneously, interpolation method in the method for interpolation it being revised is to use linear interpolation, or with the quadratic interpolation and the interpolation of high-order more.
CNB2005100386474A 2005-04-01 2005-04-01 Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation Active CN100518163C (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CNB2005100386474A CN100518163C (en) 2005-04-01 2005-04-01 Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation
KR20050123521A KR100771996B1 (en) 2005-04-01 2005-12-14 Method for Soft-Demodulation and Soft-Modulation of Multi-Antenna System

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB2005100386474A CN100518163C (en) 2005-04-01 2005-04-01 Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation

Publications (2)

Publication Number Publication Date
CN1665232A true CN1665232A (en) 2005-09-07
CN100518163C CN100518163C (en) 2009-07-22

Family

ID=35036119

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB2005100386474A Active CN100518163C (en) 2005-04-01 2005-04-01 Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation

Country Status (2)

Country Link
KR (1) KR100771996B1 (en)
CN (1) CN100518163C (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007045122A1 (en) * 2005-10-18 2007-04-26 Zte Corporation A soft demodulating method for 16qam in communication system
CN101785222A (en) * 2007-05-04 2010-07-21 高通股份有限公司 System, method, and computer-readable medium for multilevel shaping for wireless communication systems
CN101286973B (en) * 2008-05-07 2012-05-09 重庆重邮信科通信技术有限公司 Signal-noise ratio estimation method for high-order orthogonal amplitude modulation technique
CN102594768A (en) * 2011-01-11 2012-07-18 中兴通讯股份有限公司 Soft demodulation method and device applicable to multi-QAM (Quadrature Amplitude Modulation) system
CN102835082A (en) * 2010-03-11 2012-12-19 瑞典爱立信有限公司 Method and apparatus for efficient soft modulation for gray-mapped QAM symbols
CN103326988A (en) * 2012-03-22 2013-09-25 国民技术股份有限公司 Flexible demodulation method for orthogonal amplitude modulation
CN105871766A (en) * 2015-01-23 2016-08-17 北京三星通信技术研究有限公司 Interference cancellation method, interference cancellation auxiliary method, device, base station and terminal
CN108829927A (en) * 2018-05-08 2018-11-16 东南大学 Sine wave and pulse width modulation design method based on chemical reaction network
CN109302265A (en) * 2017-07-24 2019-02-01 展讯通信(上海)有限公司 The method, apparatus and computer readable storage medium of soft
CN109639618A (en) * 2019-01-23 2019-04-16 重庆邮电大学 A kind of low complexity soft output demodulation method suitable for high-order quadrature amplitude modulation signal
CN110115006A (en) * 2016-12-19 2019-08-09 华为技术有限公司 For the Estimation of Mean of qam symbol and the hardware virtualization of variance evaluation

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113495562B (en) * 2021-06-07 2024-03-29 深圳市塞防科技有限公司 Simulation path generation method, device, equipment and computer storage medium
CN114448766B (en) * 2022-02-15 2024-04-23 成都中科微信息技术研究院有限公司 Low-complexity channel equalization and soft demodulation method suitable for double-stream transmission
CN114448767B (en) * 2022-02-15 2024-04-23 成都中科微信息技术研究院有限公司 Low-complexity channel equalization and soft demodulation method suitable for single stream transmission

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040054206A (en) * 2002-12-18 2004-06-25 삼성전자주식회사 Apparatus and method for demodulating using a code table decreased a complexity

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101176325B (en) * 2005-10-18 2011-02-02 中兴通讯股份有限公司 Method for soft demodulation of hexadecimal quadrature amplitude modulation in communication system
WO2007045122A1 (en) * 2005-10-18 2007-04-26 Zte Corporation A soft demodulating method for 16qam in communication system
CN101785222B (en) * 2007-05-04 2014-03-12 高通股份有限公司 System and method for multilevel shaping for wireless communication systems
CN101785222A (en) * 2007-05-04 2010-07-21 高通股份有限公司 System, method, and computer-readable medium for multilevel shaping for wireless communication systems
CN101286973B (en) * 2008-05-07 2012-05-09 重庆重邮信科通信技术有限公司 Signal-noise ratio estimation method for high-order orthogonal amplitude modulation technique
CN102835082A (en) * 2010-03-11 2012-12-19 瑞典爱立信有限公司 Method and apparatus for efficient soft modulation for gray-mapped QAM symbols
CN102594768A (en) * 2011-01-11 2012-07-18 中兴通讯股份有限公司 Soft demodulation method and device applicable to multi-QAM (Quadrature Amplitude Modulation) system
WO2012094852A1 (en) * 2011-01-11 2012-07-19 中兴通讯股份有限公司 Soft demodulation method and apparatus for a multiple quadrature amplitude modulation system
CN103326988B (en) * 2012-03-22 2017-04-19 国民技术股份有限公司 Flexible demodulation method for orthogonal amplitude modulation
CN103326988A (en) * 2012-03-22 2013-09-25 国民技术股份有限公司 Flexible demodulation method for orthogonal amplitude modulation
CN105871766A (en) * 2015-01-23 2016-08-17 北京三星通信技术研究有限公司 Interference cancellation method, interference cancellation auxiliary method, device, base station and terminal
CN105871766B (en) * 2015-01-23 2021-02-23 北京三星通信技术研究有限公司 Interference cancellation method, interference cancellation assistance method, and interference cancellation device
CN110115006A (en) * 2016-12-19 2019-08-09 华为技术有限公司 For the Estimation of Mean of qam symbol and the hardware virtualization of variance evaluation
CN110115006B (en) * 2016-12-19 2021-04-20 华为技术有限公司 Hardware virtualization for mean and variance estimation of QAM symbols
CN109302265A (en) * 2017-07-24 2019-02-01 展讯通信(上海)有限公司 The method, apparatus and computer readable storage medium of soft
CN109302265B (en) * 2017-07-24 2021-11-12 展讯通信(上海)有限公司 Method, apparatus and computer readable storage medium for soft modulation
CN108829927A (en) * 2018-05-08 2018-11-16 东南大学 Sine wave and pulse width modulation design method based on chemical reaction network
CN108829927B (en) * 2018-05-08 2022-02-11 东南大学 Sine wave and pulse width modulation design method based on chemical reaction network
CN109639618A (en) * 2019-01-23 2019-04-16 重庆邮电大学 A kind of low complexity soft output demodulation method suitable for high-order quadrature amplitude modulation signal
CN109639618B (en) * 2019-01-23 2021-03-02 重庆邮电大学 Low-complexity soft output demodulation method suitable for high-order quadrature amplitude modulation signal

Also Published As

Publication number Publication date
KR20060105416A (en) 2006-10-11
KR100771996B1 (en) 2007-10-31
CN100518163C (en) 2009-07-22

Similar Documents

Publication Publication Date Title
CN1665232A (en) Method for fast realization of soft-demodulation and soft-modulation in high-order quadrature amplitude modulation
US10608780B2 (en) Methods, apparatus and systems for transmission and reception of sparse signals in wireless sensor networks
CN1429427A (en) Method and apparatus for computing soft decision input metrics to TURBO decoder
CN1324868C (en) Demodulation apparatus and method in communication system employing 16-ary QAM
CN1711712A (en) Iterative decoding with likelihood weighting
CN110213193B (en) Unequal probability high-order constellation point design method and demapping method
CN1652493A (en) Apparatus and method for controlling adaptive modulation and coding
CN1224229C (en) Appts and method for calculating channel decoder input soft decision value in data communications system
CN1879295A (en) Predistortion control device and method, assembly including the predistortion control device
CN101056131A (en) Apparatus and method for generating log likelihood ratio in a multiple-input multiple-output communication system
US20190342138A1 (en) Methods of converting or reconverting a data signal and method and system for data transmission and/or data reception
CN1521957A (en) Transmission/reception apparatus for wireless system with three transmission antennas
CN107995692A (en) A kind of cloud access is surfed the net no speed rates mechanism
CN1764098A (en) Method and apparatus for puncturing code symbols in a communications system
CN1526215A (en) Method and apparatus for efficiently calculating log-likelihood ratios
CN1822531A (en) Airspace filter detecting method for multiple antenna radio communication system
US10567016B2 (en) Transmission device, reception device, transmission method, and reception method
CN1976327A (en) Method for counteracting minimum mean-square error soft interference, signal detector and receiver
CN1674484A (en) Spatial frequency iterative detecting method for multi-inputting and multi-outputting single carrier block transmitting system
CN101305575B (en) Method and apparatus for normalizing input metric to a channel decoder in a wireless communication system
CN1259781C (en) Minimum Eustachian distance maximized constellation mapping cascade error-correction coding method
CN1614964A (en) Method for global digital broadcasting based on differential amplitude and phase combining modulation
CN1819571A (en) Inspection of blank field maximum rear-proving probability in wireless communication system
Cai et al. Bandwidth expansion Shannon mapping for analog error-control coding
US11876610B2 (en) Transmission device, reception device, transmission method, and reception method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20180921

Address after: 518129 Bantian HUAWEI headquarters office building, Longgang District, Guangdong, Shenzhen

Patentee after: Huawei Technologies Co., Ltd.

Address before: 210096 No. four archway, 2, Jiangsu, Nanjing

Patentee before: Southeast University