CN101562468A - Balancing device and balancing method based on iteration elimination and maximum ratio combining - Google Patents
Balancing device and balancing method based on iteration elimination and maximum ratio combining Download PDFInfo
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- CN101562468A CN101562468A CNA2009100521351A CN200910052135A CN101562468A CN 101562468 A CN101562468 A CN 101562468A CN A2009100521351 A CNA2009100521351 A CN A2009100521351A CN 200910052135 A CN200910052135 A CN 200910052135A CN 101562468 A CN101562468 A CN 101562468A
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention relates to a balancing device and a balancing method based on combination of iteration elimination and maximum ratio in the technical field of digital radio communication. The balancing device comprises a channel state information module, a maximum ratio combining module, a first iteration module and a second iteration module, wherein the channel state information module provides initial state information of a channel for the maximum ratio combining module, the first iteration module and the second iteration module; the first iteration module decides input signals and performs iteration elimination on the input signals and decision signals; the second iteration module performs circulated iteration on the signals after first iteration, decides the signals, and performs iteration elimination on the signals; and the maximum ratio combining module combines the signals after first iteration and second iteration with the maximum ratio criterion and obtains final output signals. The invention can fully utilize the energy of signals arriving at a receiver through different paths, effectively reduce the signal-to-noise ratio threshold of a system, and improve the sensitivity of the receiver.
Description
Technical field
The present invention relates to a kind of balancer and method thereof of wireless communication technology field, specifically is a kind of balancer and method thereof based on iteration elimination and high specific merging.
Background technology
Wireless signal is in transmission course, because the decline and the multipath of channel have caused its frequency selective characteristic.Therefore, also can obtain preferable performance under the multi-path environment, must eliminate the influence of channel in order to guarantee in the city etc. to exist.And traditional digital communication theory all is to tackle the above-mentioned influence that multipath produced by equalizer
Find by prior art documents: in " digital communication " book that G.Proakis showed, in digital communication, tackle the method for multipath: the RAKE reception technique in DFF and the cdma system has carried out detailed elaboration:
DFF (Decision Feedback Equalizer, DFE) basic principle is at first to determine the strongest paths of signal energy, then other path signals are eliminated the influence of signal on this path as far as possible, thereby the signal that is sent at first, this method is under the situation that an obviously main footpath (signal energy on this footpath is apparently higher than the signal energy in other footpaths) is arranged, effect is fine, but, in a lot of application scenarioss of following digital wireless communication, the capital has two or many multipath situations that energy is close, for example, in the dense city environment, look at straight in the absence in path, the close situation of energy may appear in the signal through the reflection of different paths, perhaps, in the mono-frequency network system in future, because different transmitters adopts same frequency, also receive simultaneously probably from the much the same signal of the energy of different transmitters at receiver one end, in these cases, if still adopt original judgment feedback balance technique, will waste the energy of signal greatly, cause the rising of system's threshold level;
Usually eliminate the influence of multipath in the cdma system by RAKE receiver, this system can be by utilizing the gain of spread-spectrum signal, and adopt maximum to merge ratio method, the signal energy of several the multipaths that energy is more intense all uses, the existing this maximum RAKE receiver that merges ratio can only be used in spread spectrum system, can not directly be generalized in the common non-spread spectrum digit wireless communication system.
In sum, have the equalization methods of some digit wireless communication systems now, perhaps can't make full use of the energy of multipath signal; Perhaps can only be applied to spread spectrum system.All can not well solve following non-spread spectrum digit wireless communication system and make full use of the requirement of signal energy.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, a kind of balancer and method based on iteration elimination and high specific merging is provided, the present invention eliminates the unit to input signal through DFF, decision unit and the forward channel impulse response of serial iteration, and the decision signal after each time iteration is foundation with the channel condition information the most at last, by the high specific merge algorithm, obtain final output signal.Solved the problem that makes full use of the signal energy on each bar multipath in the non-spread spectrum digit wireless communication system.
The present invention is achieved by the following technical solutions:
A kind of balancer that merges based on iteration elimination and high specific involved in the present invention comprises: channel condition information module, high specific merge module, iteration module and iteration module for the second time for the first time.Wherein:
The channel condition information module with the channel initial state information output to for the first time iteration module respectively, iteration module and high specific merge module for the second time.
For the first time iteration module is carried out the input signal that receives and initial state information decision feedback equalization and decision process and the signal after input signal and the judgement is carried out iteration elimination, and iteration module outputs to for the second time that iteration module and high specific merge module to the signal after handling for the first time.
For the second time the signal after the iteration is through carrying out decision feedback equalization and decision process and the signal after the first time iteration is carried out iteration elimination behind the loop iteration for the first time for iteration module, and iteration module outputs to high specific to the signal after handling and merges module for the second time.
High specific merge module with the channel initial state information that receives, for the first time iteration and for the second time the signal after the iteration merge processing according to the high specific criterion, obtain final output signal as whole device.
Iteration module was eliminated unit, DFF, decision unit by the forward channel impulse response and was formed described first time, wherein:
The forward channel impulse response is eliminated unit by using channel initial state information, eliminates the influence of part multipath signal from input signal and judgement back signal, outputs to iteration module for the second time.
DFF is carried out decision-feedback to input signal and channel initial state information, recovers original transmission signal and outputs to decision unit.
Decision unit is adjudicated the value of DFF output on the constellation point with its Euclidean distance minimum, outputs to that the forward channel impulse response is eliminated the unit and high specific merges module.
Described second time, iteration module comprised that first cyclic shifter, forward channel impulse response eliminate unit, DFF, decision unit and second cyclic shifter, wherein:
First cyclic shifter is carried out cyclic shift to the channel initial state information of input, outputs to the forward channel impulse response and eliminates unit and DFF.
The forward channel impulse response eliminate unit by using through the channel initial state information of cyclic shift with the decision unit output signal and the influence that the forward channel impulse response is eliminated multipath signal in the element output signal in the iteration module for the first time eliminate.
DFF is carried out decision-feedback to the input signal through first cyclic shifter and second cyclic shifter, recovers original transmission signal, outputs to decision unit.
Decision unit is adjudicated the value of DFF output on the constellation point with its Euclidean distance minimum, outputs to that the forward channel impulse response is eliminated the unit and high specific merges module.
Second cyclic shifter is carried out cyclic shift to the signal of forward channel impulse response unit output in the first time iteration module, outputs to DFF.
The invention still further relates to a kind of equalization methods, comprise the steps: based on iteration elimination and high specific merging
Step 1: input signal is carried out equilibrium through a DFF, and obtain the estimated value of corresponding emission symbol through decision unit;
Step 2: the emission sign estimation value after will adjudicating, channel condition information and input signal are input to forward channel impulse response unit, by forward channel impulse response unit the influence of forward channel impulse response in the input signal is eliminated, obtained the signal after the iteration elimination for the first time;
Step 3: the signal after the general's iteration elimination first time is done cyclic shift, carries out equilibrium through a DFF, and passes through the estimated value that decision unit is launched symbol accordingly;
Step 4: utilize the estimated value of emission symbol in the step 3 and done respective cycle displacement channel condition information afterwards, will this moment from the signal after the first time iteration elimination influence of forward channel impulse response eliminate, obtain the signal after the iteration elimination for the second time;
Step 5: the signal after the preceding iteration elimination is done cyclic shift, carry out equilibrium, and pass through the estimated value that decision unit is launched symbol accordingly through a DFF; Utilize the estimated value of the emission symbol after the judgement and done channel condition information after the respective cycle displacement, in the past will this moment in the signal after iteration elimination the influence of forward channel impulse response eliminate, obtain the signal after this iteration elimination;
Step 6: judge whether iteration reaches default iterations, if reach, then enter next step, otherwise return step 3;
Step 7: the estimated value of the emission symbol that will obtain through decision units at different levels, according to channel condition information, carry out the high specific merge algorithm, output signal to the end;
Step 1 wherein, step 2 are iteration elimination process for the first time, and step 3, step 4, step 5, step 6 be iteration elimination second time iteration elimination process to the end, and step 7 is the high specific merging process.
Wherein Yu She iterations is surpassed the quantity decision of the multipath of current desired value by energy in the channel condition information.From the second time of iteration elimination to the end iteration elimination process, the figure place of cyclic shift surpasses distance decision between adjacent two multipaths of current desired value by multipath energy.
Compared with prior art, the present invention has following beneficial effect:
The present invention can make full use of the energy that arrives the signal of receiver by different paths, can effectively reduce the signal-noise ratio threshold of system, improve receiver sensitivity, for example, under the situation that two identical multipaths of energy are arranged, receiver sensitivity can improve 3dB under the perfect condition, and the corresponding system signal-noise ratio threshold has reduced 3dB.Better meet the application of various non-spread spectrum digit wireless communication system under multi-path environment.
Description of drawings
The schematic diagram of the balancer that merges based on iteration elimination and high specific that Fig. 1 proposes for the present invention;
Fig. 2 is the flow chart of the equalization methods that merges based on iteration elimination and high specific of embodiment of the invention correspondence.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are elaborated: present embodiment is being to implement under the prerequisite with the technical solution of the present invention; provided detailed execution mode and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, present embodiment relates to a kind of balancer based on iteration elimination and high specific merging, comprising: the channel condition information module, and high specific merges module, iteration module and iteration module for the first time for the second time, wherein:
Described channel condition information module 1, with the channel initial state information output to forward direction impulse response in the iteration module for the first time eliminate unit 2, DFF 3 and for the second time first cyclic shifter 4 and the high specific in the iteration module merge module 10.
Described high specific merges module 10, and it is input as decision unit 4 in the iteration module for the first time, the output of decision unit 9 and channel condition information module 1 in the iteration module for the second time, the signal after the output equilibrium.
Described first time, iteration module comprised that the forward channel impulse response eliminates unit 2, DFF 3 and decision unit 4, iteration module is carried out decision feedback equalization one time to the input primary signal for the first time, equilibrium output is adjudicated, utilize the forward channel impulse response to eliminate the unit then multipath signal is carried out the elimination first time.Wherein:
The forward channel impulse response is eliminated unit 2 and is utilized channel condition information, eliminates the influence of part multipath signal from the input signal of this unit.Be input as the output of original input signal, channel condition information module 1 and the output of decision unit 4, be output as second cyclic shifter 6 in the iteration module for the second time and the input of forward channel impulse response unit 7.
DFF 3 is carried out decision-feedback to the signal of importing, and recovers original transmission signal.Be input as the output of original input signal and channel condition information module 1, it is output as the input of decision unit 4.
Decision unit 4 is adjudicated the value of DFF 3 output on the constellation point with its Euclidean distance minimum.It is input as the output of DFF 3, and it is output as the input that the forward channel impulse response is eliminated unit 2 and high specific merging module 10.
Described second time, iteration module was by first cyclic shifter 5, the forward channel impulse response is eliminated unit 7, DFF 8, decision unit 9, second cyclic shifter 6 is formed, and after iteration module is carried out cyclic shift to the signal after the first time iteration for the second time, utilizes same channel condition information through cyclic shift to carry out decision feedback equalization again, equilibrium output is adjudicated, utilize the forward channel impulse response to eliminate the unit then multipath signal is carried out the elimination second time.Wherein:
First cyclic shifter 5, the channel condition information that channel condition information module 1 is exported carries out cyclic shift, outputs to the forward channel impulse response and eliminates unit 7 and DFF 8.
Second cyclic shifter 6, the output signal of iteration module is carried out cyclic shift to the first time.The output that it is input as forward channel impulse response elimination unit 2 in the iteration module first time is output as the input of DFF 8.
The forward channel impulse response is eliminated unit 7 and is utilized channel condition information, eliminates the influence of part multipath signal from the input signal of this unit.Be input as forward channel impulse response in the iteration module for the first time and eliminate the output of unit 2, first cyclic shifter 5 and decision unit 9, be output as the input that forward channel impulse response in the next iteration module is for the second time eliminated the unit and second cyclic shifter.
DFF 8 is carried out decision-feedback to the signal of importing, and recovers original transmission signal.It is input as the output of first cyclic shifter 5 and second cyclic shifter 6, and it is output as the input of decision unit 9.
Decision unit 9 is adjudicated the value of DFF 8 output on the constellation point with its Euclidean distance minimum.It is input as the output of DFF 8, and it is output as the input that the forward channel impulse response is eliminated unit 7 and high specific merging module 10.
As shown in Figure 2, in the flow process of the equalization methods that merges based on iteration elimination and high specific of present embodiment, step S101 is the iteration elimination first time to step S103, step S201 is to five steps of S205, be iteration elimination second time iteration elimination process to the end, step S300 is the high specific merging process.
At first, S101: decision feedback equalization, be about to input signal and carry out equilibrium through a DFF, detailed process is:
x
soft (1)＝DFE(y
(1)，h
(1))
Wherein, h
(1)=h is the initial state information of channel, the signal of y (1) for receiving.DFE (y (1), h (1)) refers to that y (1) uses h (1) to carry out decision feedback equalization as channel condition information to received signal.
S102: signal decision, promptly finish signal decision, signal is returned on the constellation point of expection, thereby obtain the estimated value of corresponding emission symbol, detailed process is: x_d
(1)=decision (x
Soft (1)), decision is with soft information x
Soft (1)Judgement for the value of the shortest constellation point of its Euclidean distance.
S103: the forward direction impulse response is eliminated, and promptly utilizes emission sign estimation value x_d (1) and channel condition information h (1) after the judgement, from input signal y (1) influence of forward channel impulse response is eliminated, and obtains the signal after the iteration elimination first time.Its concrete elimination process is:
y_temp
(1)＝y
(1)-h
1·x_d
(1)
Wherein: y_temp
(1)Be that input signal y (1) is through iteration elimination first time signal afterwards, h
1Be channel vector h
(1)In first element.
Then, S201: to the displacement of signal and channel condition information, the signal that is about to after the preceding iteration elimination is done cyclic shift, normally circulates to shifting left; Be designated as y
(2)=circshift (y_temp
(1)), do corresponding cyclic shift after simultaneously first element among the channel vector h being changed to 0 and obtain h
(2)S202: decision feedback equalization, with signal y
(2)Carry out equilibrium by a DFF, promptly calculate x
Soft (2)=DFE (y
(2), h
(2));
S203: signal decision, be exactly with signal decision to the nearest constellation point of its Euclidean distance on, launched the estimated value x_d of symbol accordingly
(2)
S204: the preceding paragraph impulse response is eliminated, promptly in the past will this moment in the signal after iteration elimination the influence of forward channel impulse response eliminate, obtain the signal after the iteration elimination for the second time.Detailed process is:
y_temp
(2)＝y
(2)-h
2·x_d
(2)
Wherein: y_temp
(2)Be y
(2)Through iteration elimination second time signal afterwards, h
2Be channel vector h
(2)In first element.
S205: whether reach iterations, promptly judge whether the iterations that reaches default, then to forward S300 to if reach, otherwise, begin next time iteration with rotating back into S201.
Wherein: default iterations is surpassed the quantity decision of the multipath of current desired value by energy in the channel condition information.That is: if channel impulse response contains L channel tap coefficient h=[h
1, L, h
L, 0, L, 0]
TWherein greater than certain desired value Threshold (if maximum in this L value be 1, Threshold can be set to 0.5 so) L_h arranged, iterations is exactly L_h so, for apparatus of the present invention, according to the difference of iterations, can on the basis of original device, increase L_h-2 and the identical module of the iteration module second time.From the second time of iteration elimination to the end iteration elimination process, the figure place of cyclic shift (normally ring shift left position) surpasses distance decision between adjacent two multipaths of current desired value by multipath energy.That is: if among the h value greater than desired value Threshold comprise [h
1, h
5, L, h
L]
T, the figure place of cyclic shift is exactly 4 after first iteration so.
In real system, default iterations can obtain by the following method: the minimum value from the signal energy of a certain multipath that at first default desired value, expression wish to utilize in equilibrium.Then, check current channel condition information, calculate the quantity that energy wherein surpasses the multipath of current desired value.The quantity of this multipath is exactly number of iterations.
At last, S300: high specific merges, and is about to the estimated value of the emission symbol that decision units at different levels obtain, and carries out high specific according to channel condition information and merges, and obtains output signal at last.
Claims (7)
1, a kind of balancer that merges based on iteration elimination and high specific is characterized in that, comprising: channel condition information module, high specific merge module, iteration module and iteration module for the second time for the first time, wherein:
The channel condition information module with the channel initial state information output to for the first time iteration module respectively, iteration module and high specific merge module for the second time;
For the first time iteration module is carried out the input signal that receives and initial state information decision feedback equalization and decision process and the signal after input signal and the judgement is carried out iteration elimination, and iteration module outputs to for the second time that iteration module and high specific merge module to the signal after handling for the first time;
For the second time the signal after the iteration is through carrying out decision feedback equalization and decision process and the signal after the first time iteration is carried out iteration elimination behind the loop iteration for the first time for iteration module, and iteration module outputs to high specific to the signal after handling and merges module for the second time;
High specific merge module with the channel initial state information that receives, for the first time iteration and for the second time the signal after the iteration merge processing according to the high specific criterion, obtain final output signal as whole device.
2, the balancer based on iteration elimination and high specific merging according to claim 1, it is characterized in that, described first time, iteration module comprised that the forward channel impulse response eliminates unit, DFF and decision unit, wherein: the forward channel impulse response is eliminated unit by using channel initial state information, from input signal and judgement back signal, eliminate the influence of part multipath signal, output to iteration module for the second time; DFF is carried out decision-feedback to input signal and channel initial state information, recovers original transmission signal and outputs to decision unit; Decision unit is adjudicated the value of DFF output on the constellation point with its Euclidean distance minimum, outputs to that the forward channel impulse response is eliminated the unit and high specific merges module.
3, the balancer based on iteration elimination and high specific merging according to claim 1, it is characterized in that, described second time, iteration module comprised that first cyclic shifter, forward channel impulse response eliminate unit, DFF, decision unit and second cyclic shifter, wherein: first cyclic shifter, channel initial state information to input is carried out cyclic shift, outputs to the forward channel impulse response and eliminates unit and DFF; The forward channel impulse response eliminate unit by using through the channel initial state information of cyclic shift with the decision unit output signal and the influence that the forward channel impulse response is eliminated multipath signal in the signal of unit output in the iteration module for the first time eliminate; DFF is carried out decision-feedback to the input signal through first cyclic shifter and second cyclic shifter, recovers original transmission signal, outputs to decision unit; Decision unit is adjudicated the value of DFF output on the constellation point with its Euclidean distance minimum, outputs to that the forward channel impulse response is eliminated the unit and high specific merges module; Second cyclic shifter is carried out cyclic shift to the signal of forward channel impulse response unit output in the first time iteration module, outputs to DFF.
4, according to claim 1 or 3 described balancers, it is characterized in that the number of iteration module is determined by iterations for the second time based on iteration elimination and high specific merging.
5, a kind of equalization methods of the balancer that merges based on iteration elimination and high specific according to claim 1 is characterized in that, comprises following steps:
Step 1: input signal is carried out equilibrium through a DFF, and obtain the estimated value of corresponding emission symbol through decision unit;
Step 2: the emission sign estimation value after will adjudicating, channel condition information and input signal are input to forward channel impulse response unit, by forward channel impulse response unit the influence of forward channel impulse response in the input signal is eliminated, obtained the signal after the iteration elimination for the first time;
Step 3: the signal after the general's iteration elimination first time is done cyclic shift, carries out equilibrium through a DFF, and passes through the estimated value that decision unit is launched symbol accordingly;
Step 4: utilize the estimated value of emission symbol in the step 3 and done respective cycle displacement channel condition information afterwards, will this moment from the signal after the first time iteration elimination influence of forward channel impulse response eliminate, obtain the signal after the iteration elimination for the second time;
Step 5: the signal after the preceding iteration elimination is done cyclic shift, carry out equilibrium, and pass through the estimated value that decision unit is launched symbol accordingly through a DFF; Utilize the estimated value of the emission symbol after the judgement and done channel condition information after the respective cycle displacement, in the past will this moment in the signal after iteration elimination the influence of forward channel impulse response eliminate, obtain the signal after this iteration elimination;
Step 6: judge whether iteration reaches default iterations, if reach, then enter next step, otherwise return step 3;
Step 7: the estimated value of the emission symbol that will obtain through decision units at different levels, according to channel condition information, carry out the high specific merge algorithm, output signal to the end.
6, the equalization methods based on iteration elimination and high specific merging according to claim 5 is characterized in that, iterations is surpassed the quantity decision of the multipath of current desired value by energy in the channel condition information.
7, the equalization methods that merges based on iteration elimination and high specific according to claim 5 is characterized in that, the figure place of the cyclic shift described in from the step 4 to the step 5 surpasses distance decision between adjacent two multipaths of desired value by multipath energy.
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Cited By (4)
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| CN101958862A (en) * | 2010-10-22 | 2011-01-26 | 上海交通大学 | Self-adaptive decision feedback equalizer based on superposing structure |
| CN102098075A (en) * | 2009-12-15 | 2011-06-15 | 中兴通讯股份有限公司 | Joint detection method and device |
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| JP3427778B2 (en) * | 1999-04-21 | 2003-07-22 | 株式会社エヌ・イー・エフ | Carrier control method |
| US20020006121A1 (en) * | 2000-04-27 | 2002-01-17 | Dileep George | Adaptive diversity combining for wide band code division multiple access (W-CDMA) based on iterative channel estimation |
| CN100561901C (en) * | 2006-10-19 | 2009-11-18 | 上海交通大学 | The multi-antenna orthogonal frequency division multiplexing system soft in and soft out detection method of low complex degree |
| CN101159468B (en) * | 2007-11-19 | 2012-03-21 | 北京天碁科技有限公司 | Associated detection based diversity receiving device and method |
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| CN102098075A (en) * | 2009-12-15 | 2011-06-15 | 中兴通讯股份有限公司 | Joint detection method and device |
| CN102098075B (en) * | 2009-12-15 | 2014-01-01 | 中兴通讯股份有限公司 | Joint detection method and device |
| CN101958862A (en) * | 2010-10-22 | 2011-01-26 | 上海交通大学 | Self-adaptive decision feedback equalizer based on superposing structure |
| CN101958862B (en) * | 2010-10-22 | 2012-11-28 | 上海交通大学 | Self-adaptive decision feedback equalizer based on superposing structure |
| CN111800193A (en) * | 2020-07-08 | 2020-10-20 | 北京邮电大学 | Signal processing method and device based on multi-core few-mode optical fiber transmission |
| CN111800193B (en) * | 2020-07-08 | 2021-11-12 | 北京邮电大学 | Signal processing method and device based on multi-core few-mode optical fiber transmission |
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