CN101645724A - Method, device and mobile terminal for optimizing decoding performance - Google Patents
Method, device and mobile terminal for optimizing decoding performance Download PDFInfo
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- CN101645724A CN101645724A CN200910090722A CN200910090722A CN101645724A CN 101645724 A CN101645724 A CN 101645724A CN 200910090722 A CN200910090722 A CN 200910090722A CN 200910090722 A CN200910090722 A CN 200910090722A CN 101645724 A CN101645724 A CN 101645724A
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- H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
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Abstract
The embodiment of the invention provides a method, a device and a mobile terminal for optimizing decoding performance, wherein the method for optimizing decoding performance comprises the following steps: reducing the soft value of channel signal decoding with known disturbance; and decoding channel signals according to the soft value. The technical scheme can improve the decoding performance under the condition that the complexity of a receiving terminal is hardly increased.
Description
Technical field
The present invention relates to the decoding technique field in the radio communication, be specifically related to the optimizing decoding performance technology.
Background technology
In WCDMA (Wideband Code Division Multiple Access, Wideband Code Division Multiple Access (WCDMA)) communication system, the UE side need be carried out despreading to the data that receive according to different spreading codes, to obtain the data on the different physical channels.Orthogonality between the different spreading codes is more good, and the interference between the data on the physical channel that obtains after the despreading is just more little.
SCH (Synchronization Channel, synchronizing channel) Primary Synchronisation Code that two subchannel P-SCH in and S-SCH use and secondary synchronization code are non-orthogonal with the spreading code of other physical channel use, therefore, during SCH sends, SCH exists all the time to the interference of other physical channel, and this disturbs the decoding performance that can influence other physical channel.
Existing elimination SCH disturbs with the method that realizes optimizing decoding performance as shown in Figure 1.
Among Fig. 1, receiving terminal generates SCH and sends signal, and the SCH that generates is sent signal and channel estimating convolution mutually, with the SCH signal of reconstruct through channel, then, receiving terminal deducts this reconstruction signal from the whole received signal that receives, to eliminate the interference of SCH to other physical channels.
In realizing process of the present invention, the inventor finds: above-mentioned optimizing decoding performance method need to increase at receiving terminal and generates SCH and send signal, channel estimating, convolution and deduct reconstruction signal etc. and process operation, has increased the complexity of receiving terminal.
Summary of the invention
Embodiment of the present invention provides a kind of optimizing decoding performance method, device and portable terminal, can substantially not increase in the situation of receiving terminal complexity, improves the decoding performance that has the known disturbances channel signal.
A kind of optimizing decoding performance method that embodiment of the present invention provides comprises:
Reduce the soft value of the channel signal decoding that has known disturbances;
According to described soft value described channel signal is deciphered processing.
A kind of optimizing decoding performance device that embodiment of the present invention provides comprises:
Adjust soft value module, for reducing the soft value of the channel signal decoding that has known disturbances;
Decoding module is used for according to described soft value described channel signal being deciphered processing.
A kind of portable terminal that embodiment of the present invention provides comprises:
Receiver module is used for received signal;
The optimizing decoding performance device for reducing the soft value of the channel signal decoding that has known disturbances, and is deciphered processing according to described soft value to described channel signal.
Description by technique scheme as can be known, reduce the soft value that exists in the known disturbances channel signal decode procedure, and in the decode procedure of receiving terminal, increased the processing operation that reduces soft value according to the technical scheme that this soft value is deciphered, yet, it is considerably less to reduce the resource that the processing operation of soft value takies, can ignore, can avoid phenomenon that the higher soft value that adopts poor reliability in the decode procedure that has the known disturbances channel signal is deciphered and reduce soft value, and then avoided of the influence of insecure higher soft value to decoding performance, finally do not increasing under the situation of receiving terminal complexity basically, improving the decoding performance that has the known disturbances channel signal.
Description of drawings
Fig. 1 is the optimizing decoding performance method schematic diagram of prior art;
Fig. 2 is the flow chart of the optimizing decoding performance method of the embodiment of the invention one;
Fig. 3 is the flow chart of the optimizing decoding performance method of the embodiment of the invention two;
Fig. 4 is the flow chart of the optimizing decoding performance method of the embodiment of the invention three;
Fig. 5 is the flow chart of the optimizing decoding performance method of the embodiment of the invention four;
Fig. 6 is the flow chart of the optimizing decoding performance method of the embodiment of the invention five;
Fig. 7 is the optimizing decoding performance device schematic diagram of the embodiment of the invention six;
Fig. 8 is the portable terminal schematic diagram of the embodiment of the invention seven.
Embodiment
Embodiment one, optimizing decoding performance method.The flow process of this method as shown in Figure 2.
Among Fig. 2, there are the soft value of the channel signal decoding of known disturbances in step 200, reduction.The known disturbances here can be the interference that is caused by the non-orthogonal channel of spreading code in the code subsystem, also can for: in frequency division systems by the multiplexing interference that brings of frequency.That is to say that in the code subsystem, if the spreading code that the spreading code that predetermined channel uses and other channels use is nonopiate, then other channels are the channel that has known disturbances; If certain frequency is re-used, then this frequency can be called as the channel that has known disturbances.Multiplexing as adjacent two sub-districts of above-mentioned frequency are multiplexing etc. to same frequency.
Above-mentioned soft value is used for the decoding to the channel signal that has known disturbances.If it is a plurality of having the channel of known disturbances, then can exist the channel signal of known disturbances all to carry out soft value for all and reduce adjustment, also can exist the channel signal of known disturbances carry out soft value for part and reduce adjustment.A plurality of channel signals that have a known disturbances can corresponding same soft value, also can corresponding different soft values.
Noise also can disturb the channel signal that has known disturbances, if the interference of noise is higher than known disturbances, then exists the soft value that adopts in the channel signal decode procedure of known disturbances relatively reliable, can carry out more by a small margin reduction adjustment to soft value; If the interference of noise is lower than there being known disturbances, then exist the soft value that adopts in the channel signal decode procedure of known disturbances relatively unreliable, can carry out by a relatively large margin reduction adjustment to soft value.
Owing to noise jamming can recently be weighed by noise, therefore, when the soft value that the channel signal that has known disturbances is deciphered reduces processing, can be big or small with reference to the soft value that the size of signal to noise ratio be determined to reduce after handling.For example, when signal to noise ratio was higher, noise was littler, known disturbances is relatively large, can carry out by a relatively large margin reduction adjustment to soft value, make soft value relatively low, thereby avoid insecure bigger soft value to the impact of the channel signal decoding performance that has known disturbances; And when signal to noise ratio was relatively low, noise was bigger, and known disturbances is to the interference less of other channel signals, can carry out more by a small margin reduction adjustment to soft value, made soft value relatively higher.That is to say that the size of signal to noise ratio is inversely proportional to the size of adjusting the soft value after processing, also is that the size of signal to noise ratio is directly proportional with the amplitude that soft value reduces.
The mode that the soft value of the channel signal decoding that has known disturbances is reduced has multiple, and for example, the mode that can adopt soft value amplitude limit reduces processing to the soft value of the channel signal decoding that has known disturbances; The mode that more for example, can adopt the soft value geometric ratio range of decrease reduces processing to the soft value of the channel signal decoding that has known disturbances; Again for example, soft value is set to zero.Certainly, present embodiment also can adopt other modes that the soft value that has the decoding of known disturbances channel signal is reduced adjustment.Present embodiment does not limit the specific implementation that the soft value that has the decoding of known disturbances channel signal is reduced adjustment.
The mode of above-mentioned soft value amplitude limit namely is limited to soft value in the preset range, as by the bit bit wide that limits soft value soft value being limited in the preset range.
The mode of the above-mentioned soft value geometric ratio range of decrease is namely all dwindled identical multiple with soft value.The concrete multiple that dwindles can be adjusted according to the size of signal to noise ratio.
When signal to noise ratio was very high, when reaching first predetermined value such as signal to noise ratio, noise was very little, at this moment, existed the soft value of known disturbances channel signal decoding very unreliable, thereby can will exist the soft value of known disturbances channel signal decoding to be reduced to zero.In addition, when signal to noise ratio very hour, less than second predetermined value, noise is very big such as signal to noise ratio, at this moment, can uncomfortable whole deposit in the soft value of known disturbances channel signal decoding.Here the soft value that exemplifies is reduced to the technical scheme that zero-sum do not adjust soft value and all can uses separately in the optimizing decoding performance method, also can combine use with the mode of above-mentioned soft value amplitude limit and the soft value geometric ratio range of decrease.
From the description of above-described embodiment one as can be known, embodiment one has increased the processing operation that reduces soft value in the existing decode procedure of receiving terminal; Because the resource that the processing operation of the soft value of reduction takies is considerably less, usually can ignore, therefore, embodiment one does not increase the implementation complexity of receiving terminal basically; Can avoid phenomenon that the higher soft value that adopts poor reliability in the decode procedure that has the known disturbances channel signal is deciphered owing to reduce soft value, therefore, can avoid insecure higher soft value to there being the impact of interference channel signal interpretation performance; By the degree that the size according to signal to noise ratio determines whether to reduce soft value and soft value is reduced, make the reliability of the soft value that adopts in the decode procedure that has the known disturbances channel signal as much as possible high; Thereby the embodiment of the invention one can not increase in the situation of receiving terminal complexity basically, improves the decoding performance that has the known disturbances channel signal.
Embodiment two, optimizing decoding performance method.The flow process of this method as shown in Figure 3.
Among Fig. 3, step 300, determine to exist predetermined channel during.The spreading code that the spreading code that predetermined channel uses and other channels use is nonopiate, that is to say that the predetermined channel in the present embodiment is: the non-orthogonal channel of the spreading code of spreading code and other channels.Predetermined channel here such as SCH.
Of particular note, a plurality of other channels can corresponding same soft value, also can corresponding different soft values.
The interference of other channel signals is not only comprised the interference of predetermined channel signal, also comprise the influence of noise (as the white Gaussian additive noise), if noise is higher than the interference of predetermined channel signal to other channel signals to the interference of other channel signals, then the soft value that adopts in other channel signal decode procedures is reliable relatively, can carry out more by a small margin reduction adjustment to soft value; If noise is lower than the interference of predetermined channel signal to other channel signals to the interference of other channel signals, then the soft value that adopts in other channel signal decode procedures is unreliable relatively, can carry out by a relatively large margin reduction adjustment to soft value.
Because noise jamming can recently weigh by noise, therefore, to exist predetermined channel during in the soft value of other channel signals decodings reduce when handling, can be big or small with reference to the soft value that the size of signal to noise ratio be determined to reduce after handling.For example, when signal to noise ratio was higher, noise was littler, the predetermined channel signal is relatively large to the interference of other channel signals, can carry out by a relatively large margin reduction adjustment to soft value, make soft value relatively low, thereby avoided insecure bigger soft value to the impact of other channel signal decoding performances; And when signal to noise ratio was relatively low, noise was bigger, and the predetermined channel signal is to the interference less of other channel signals, can carry out more by a small margin reduction adjustment to soft value, made soft value relatively higher.That is to say that the size of signal to noise ratio is inversely proportional to the size of adjusting the soft value after processing, also is that the size of signal to noise ratio is directly proportional with the amplitude that soft value reduces.The inverse ratio here can be interval property inverse ratio, and namely the corresponding signal to noise ratio interval (the corresponding a plurality of signal to noise ratios of soft value) of soft value is inverse ratio between each soft value and each the signal to noise ratio interval; Certainly, the inverse ratio here also can right and wrong interval property inverse ratio, and for example, the corresponding signal to noise ratio of soft value is inverse ratio between each soft value and each signal to noise ratio.
To exist predetermined channel during in the mode that reduces of the soft value of other channel signals decoding have multiplely, for example, the mode that can adopt soft value amplitude limit reduces processing to the soft value of other channel signals decodings; The mode that more for example, can adopt the soft value geometric ratio range of decrease reduces processing to the soft value of other channel signals decodings; Again for example, soft value is set to zero.Certainly, present embodiment also can adopt other modes that the soft value of other channel signal decodings is reduced adjustment, for example, deducts predetermined value etc. from soft value.Present embodiment does not limit the specific implementation that the soft value of other channel signal decodings is reduced adjustment.
The mode of above-mentioned soft value amplitude limit namely is limited to soft value in the preset range, as by the bit bit wide that limits soft value soft value being limited in the preset range.This preset range can exist predetermined channel during in do not change, also can exist predetermined channel during in adjust according to the size of signal to noise ratio, for example, when the size of signal to noise ratio is between the first threshold and second threshold value, soft value can be limited in first preset range, the bit bit wide that is about to soft value is set to the first bit bit wide; When the size of signal to noise ratio is between second threshold value and the 3rd threshold value, soft value can be limited in second preset range, the bit bit wide that is about to soft value is set to the second bit bit wide.When the size of signal to noise ratio was Second Threshold, the bit bit wide that can set soft value was the first bit bit wide, and the bit bit wide that also can set soft value is the second bit bit wide.
The mode of the above-mentioned soft value geometric ratio range of decrease is namely all dwindled identical multiple with soft value.The concrete multiple that dwindles can be adjusted according to the size of signal to noise ratio, for example, when the size of signal to noise ratio is between first threshold and Second Threshold, soft value can be dwindled first prearranged multiple; When the size of signal to noise ratio is between Second Threshold and the 3rd threshold value, soft value can be dwindled second prearranged multiple.When the size of signal to noise ratio is Second Threshold, can set soft value and dwindle first prearranged multiple, also can set soft value and dwindle second prearranged multiple.
Of particular note, when signal to noise ratio is very high, when reaching first predetermined value as signal to noise ratio, noise is very little, interference to other channel signals mainly is the interference of predetermined channel signal, at this moment, the soft value of other channel signal decodings is very unreliable, thereby the soft value of other channel signal decodings can be reduced to zero.In addition, when signal to noise ratio very hour, less than second predetermined value, noise is very big such as signal to noise ratio, mainly is the interference of noise to the interference of other channel signals, at this moment, can not adjust the soft value of other channel signals decodings.Here the soft value that exemplifies is reduced to the technical scheme that zero-sum do not adjust soft value and all can uses separately in the optimizing decoding performance method, also can combine use with the mode of above-mentioned soft value amplitude limit and the soft value geometric ratio range of decrease.Use promptly during having predetermined channel, is only carried out whether software being reduced to zero judgement separately; Be used in combination promptly during having predetermined channel, determine soft value is carried out the processing of the soft value amplitude limit or the soft value geometric ratio range of decrease, still soft value is reduced to zero processing etc. by the size of judging signal to noise ratio.Also have, the mode of soft value amplitude limit and the soft value geometric ratio range of decrease all can be used separately in the optimizing decoding performance method respectively, namely only adopts soft value amplitude limit mode or only adopt soft value geometric ratio range of decrease mode to reduce soft value in the optimizing decoding performance method; The mode of soft value amplitude limit and the soft value geometric ratio range of decrease also can combine use, with soft value amplitude limit, then, carries out the geometric ratio range of decrease etc. as earlier again.
From the description of above-described embodiment two as can be known, since embodiment two need to exist predetermined channel during reduce soft value in other channel signal decode procedures, and the soft value after processing according to this reduction is deciphered, therefore, embodiment two has increased the processing operation that reduces soft value in the existing decode procedure of receiving terminal; Because the resource that the processing operation of the soft value of reduction takies is considerably less, usually can ignore, therefore, embodiment two does not increase the implementation complexity of receiving terminal basically; Because reducing soft value can avoid existing in the situation of predetermined channel, the phenomenon that the higher soft value that adopts poor reliability in the decode procedure of other channel signals is deciphered, therefore, can avoid insecure higher soft value to the impact of other channel signal decoding performances; Degree by the size according to signal to noise ratio determines whether to reduce soft value and soft value is reduced makes the reliability of the soft value that adopts in the decode procedure to other channel signals as much as possible high; Thereby the embodiment of the invention two can not increase in the situation of receiving terminal complexity basically, improves decoding performance.
The optimizing decoding performance method of embodiment three, the soft value amplitude limit mode of employing.Based on VLSI (VeryLarge Scale Integrated circuites, very lagre scale integrated circuit (VLSIC)) in the decode procedure, the soft value that is input in the soft value decoder adopts fixing bit bit wide to represent usually, for example, adopts the numerical value of bit bit wides such as 6bit or 8bit to represent soft value.Because embodiment three carries out amplitude limit to soft value, therefore, can reduce the bit bit wide that has the soft value during the predetermined channel.
The former bit wide bit that with the predetermined channel is SCH and soft value below is that 6 bits (comprising the symbol of 1 bit) describe for the optimizing decoding performance method of example to embodiment three, and the method flow of embodiment three as shown in Figure 4.
Among Fig. 4, step 400, obtain signal to noise ratio (snr).This signal to noise ratio can be the signal to noise ratio that exists during the SCH.
The size of step 410, judgement signal to noise ratio; Be low if judge signal to noise ratio, then arrive step 420; If in judging signal to noise ratio and being, then arrive step 430; If judge signal to noise ratio for high, then arrive step 440.
In step 410, can judge according to pre-set threshold, as the first threshold and second threshold value be set, if signal to noise ratio is not higher than first threshold, represent that then signal to noise ratio is low, if during signal to noise ratio between the first threshold and second threshold value, represents that then signal to noise ratio is, otherwise the expression signal to noise ratio is high.The first threshold here and Second Threshold can arrange according to actual needs.
Step 420, to existing during the SCH the soft value of other channel signals decodings is not carried out amplitude limit, namely to existing during the SCH bit bit wide of the soft value of other channel signals decodings is not adjusted.
Step 430, will have that the soft value bit bit wide to other channel signals decodings is adjusted into 5 bits during the SCH.
Step 440, will have that the soft value bit bit wide to other channel signals decodings is adjusted into 4 bits during the SCH.
The optimizing decoding performance method of embodiment four, the soft value geometric ratio range of decrease mode of employing.In the present embodiment, do not reduce soft value by the bit bit wide of adjusting soft value, but reduce soft value by the concrete numerical value that directly reduces soft value.
With the predetermined channel be below SCH to be example describe the optimizing decoding performance method of embodiment four, the method flow of embodiment four is as shown in Figure 5.
Among Fig. 5, step 500, obtain signal to noise ratio (snr).This signal to noise ratio can be the signal to noise ratio that exists during the SCH.
The size of step 510, judgement signal to noise ratio; Be low if judge signal to noise ratio, then arrive step 520; If in judging signal to noise ratio and being, then arrive step 530; If judge signal to noise ratio for high, then arrive step 540.
In step 510, can judge according to pre-set threshold, as the first threshold and second threshold value be set, if signal to noise ratio is not higher than first threshold, represent that then signal to noise ratio is low, if during signal to noise ratio between the first threshold and second threshold value, represents that then signal to noise ratio is, otherwise the expression signal to noise ratio is high.The first threshold here and Second Threshold can arrange according to actual needs.
The optimizing decoding performance method of embodiment five, the soft value zero clearing of employing.
With the predetermined channel be below SCH to be example describe the optimizing decoding performance method of embodiment five, the method flow of embodiment five is as shown in Figure 6.
Among Fig. 6, step 600, obtain signal to noise ratio (snr).This signal to noise ratio can be the signal to noise ratio that exists during the SCH.
The size of step 610, judgement signal to noise ratio; If it is very high to judge signal to noise ratio, then arrive step 620, otherwise, to step 630.
In step 610, can judge according to predefined threshold value, as the 3rd threshold value is set, if signal to noise ratio is higher than the 3rd threshold value, represent that then signal to noise ratio is very high, otherwise the expression signal to noise ratio not very high.The 3rd threshold value here can be provided with according to actual needs.
Embodiment six, optimizing decoding performance device.This device can be soft value decoder etc., and the structure of this device as shown in Figure 7.
Optimizing decoding performance device among Fig. 7 comprises: adjust soft value module 700 and decoding module 710.
Adjust soft value module 700, for reducing the soft value of the channel signal decoding that has known disturbances.The known disturbances here can be the interference that is caused by the non-orthogonal channel of spreading code in the code subsystem, also can for: in frequency division systems by the multiplexing interference that brings of frequency.The multiplexing frequency as neighbor cell of frequency is multiplexing etc.Above-mentioned soft value is used for the decoding to the channel signal that has known disturbances.If it is a plurality of having the channel of known disturbances, then can exist the channel signal of known disturbances all to carry out soft value for all and reduce adjustment, also can exist the channel signal of known disturbances carry out soft value for part and reduce adjustment.A plurality of channel signals that have a known disturbances can corresponding same soft value, also can corresponding different soft values.
If the interference of noise is higher than known disturbances, then exist the soft value that adopts in the channel signal decode procedure of known disturbances relatively reliable, adjust soft value module 700 and can carry out more by a small margin reduction adjustment to soft value; If the interference of noise is lower than there being known disturbances, then exist the soft value that adopts in the channel signal decode procedure of known disturbances relatively unreliable, adjust soft value module 700 and can carry out by a relatively large margin reduction adjustment to soft value.
Owing to noise jamming can recently be weighed by noise, therefore, when the soft value that the channel signal that has known disturbances is deciphered reduced processing, adjusting soft value module 700 can be big or small with reference to the soft value that the size of signal to noise ratio be determined to reduce after handling.For example, when signal to noise ratio was higher, noise was littler, known disturbances is relatively large, adjusting soft value module 700 can carry out by a relatively large margin reduction adjustment to soft value, makes soft value relatively low, thereby has avoided insecure bigger soft value to the impact of the channel signal decoding performance that has known disturbances; And when signal to noise ratio was relatively low, noise was bigger, and known disturbances is to the interference less of other channel signals, adjusted soft value module 700 and can carry out more by a small margin reduction adjustment to soft value, made soft value relatively higher.That is to say that the size of signal to noise ratio is inversely proportional to the size of adjusting the soft value after processing, also is that the size of signal to noise ratio is directly proportional with the amplitude that soft value reduces.
Adjusting the mode that the soft value that there is the channel signal decoding of known disturbances in 700 pairs of soft value modules reduces has multiple, for example, adjust mode that soft value module 700 can adopt soft value amplitude limit the soft value of the channel signal decoding that has known disturbances is reduced processing; Again for example, adjust mode that soft value module 700 can adopt the soft value geometric ratio range of decrease the soft value of the channel signal decoding that has known disturbances is reduced processing; Again for example, adjust soft value module 700 soft values and be set to zero.Certainly, present embodiment also can adopt other modes that the soft value that has the decoding of known disturbances channel signal is reduced adjustment.Present embodiment does not limit adjusts the specific implementation that the soft value that there is the decoding of known disturbances channel signal in 700 pairs of soft value modules reduces adjustment.
When signal to noise ratio is very high, when reaching first predetermined value such as signal to noise ratio, noise is very little, at this moment, exist the soft value of known disturbances channel signal decoding very unreliable, can will exist the soft value of known disturbances channel signal decoding to be reduced to zero thereby adjust soft value module 700.In addition, when signal to noise ratio very hour, less than second predetermined value, noise is very big such as signal to noise ratio, at this moment, adjust soft value module 700 can uncomfortable whole deposit in the soft value of known disturbances channel signal decoding.
For the code subsystem, adjust soft value module 700 exist predetermined channel during in, reduce the soft value of other channel signals decoding, the predetermined channel here is the non-orthogonal channel of the spreading code of spreading code and other channels, predetermined channel such as SCH.Adjust soft value module 700 can oneself determine to exist predetermined channel during and carry out the operation that reduces soft value.Adjust soft value module 700 also can reduce soft value after receiving triggering signal operation.Adjust the soft value after soft value module 700 outputs are adjusted.If other channels are a plurality of, then adjust soft value module 700 and can all carry out soft value reduction adjustment for every other channel, also can carry out respectively soft value for other channels of part and reduce adjustment.A plurality of other channels can corresponding same soft value, also can corresponding different soft values.
Adjust soft value module 700 to exist predetermined channel during in the soft value of other channel signals decoding reduce when handling, can be big or small with reference to the soft value that the size of signal to noise ratio be determined to reduce after handling.At this moment, adjusting soft value module 700 comprises: signal to noise ratio submodule 701 and the soft value submodule 702 of adjustment.
Signal to noise ratio submodule 701 is used to obtain signal to noise ratio, and exports the signal to noise ratio that gets access to.
Adjust soft value submodule 702, be used for exist predetermined channel during, reduce the soft value of other channel signals decodings according to the signal to noise ratio of signal to noise ratio submodule 701 outputs, the size of signal to noise ratio and soft value are inversely proportional to.For example, when the signal to noise ratio of signal to noise ratio submodule 701 output is higher, the expression noise is littler, the predetermined channel signal is relatively large to the interference of other channel signals, adjust soft value submodule 702 and can carry out by a relatively large margin reduction adjustment to soft value, make soft value relatively low, thereby can avoid insecure bigger soft value to the impact of other channel signal decoding performances; And when the signal to noise ratio of signal to noise ratio submodule 701 outputs is relatively hanged down, the expression noise is bigger, the predetermined channel signal is to the interference less of other channel signals, adjusts soft value submodule 702 and can carry out more by a small margin reduction adjustment to soft value, makes soft value relatively higher.That is to say that the size of signal to noise ratio is inversely proportional to the size of adjusting the soft value after soft value submodule 702 adjustment are processed, the concrete manifestation form of inverse ratio such as the description of above-mentioned embodiment are not repeated.
Adjust 702 pairs of soft value submodules exist predetermined channel during in the mode that reduces of the soft value of other channel signals decoding have multiple, according to the difference of soft value reduction mode, adjusting soft value submodule 702 can comprise: any one in amplitude limit adjustment submodule 703, geometric ratio adjustment submodule 704 and the zero soft value submodule 705 or a plurality of.
Amplitude limit is adjusted submodule 703, be used for exist predetermined channel during, adopt the mode of soft value amplitude limit to reduce the soft value of other channel signals decodings according to the size of the signal to noise ratio of signal to noise ratio submodule 701 outputs.Amplitude limit is adjusted submodule 703 and can be adopted the mode of the bit bit wide of the soft value of restriction that soft value is limited in the preset range.Amplitude limit adjust submodule 703 can exist predetermined channel during in soft value is limited in the preset range that does not change, amplitude limit adjust submodule 703 also can exist predetermined channel during adjust the size of preset range according to the size of signal to noise ratio, soft value is limited in the preset range that changes, specific embodiment of the method as above described is not repeated.
Geometric ratio is adjusted submodule 704, be used for exist predetermined channel during, adopt the mode of the soft value geometric ratio range of decrease to reduce the soft value of other channel signals decodings according to the size of the signal to noise ratio of signal to noise ratio submodule 701 outputs.Geometric ratio is adjusted submodule 704 and can be adopted the mode that soft value is all dwindled identical multiple to reduce soft value.Geometric ratio is adjusted submodule 704 can determine the concrete multiple that soft value is dwindled according to the size of signal to noise ratio, and specific embodiment of the method as above described is not repeated.
Zero soft value submodule 705, be used for exist predetermined channel during, in the signal to noise ratio of judging 701 outputs of signal to noise ratio submodule during, the soft value of other channel signals decodings is reduced to zero greater than first predetermined value.Signal to noise ratio represents that greater than first predetermined value noise is very little, at this moment, mainly is the interference of predetermined channel signal to the interference of other channel signals.First predetermined value can arrange according to actual needs.
Need to prove, when adjust soft value submodule 702 comprise amplitude limit adjust submodule 703, geometric ratio adjust in submodule 704 and the zero soft value submodule 705 any two or three the time, there is multiple combination in the mode that reduces soft value, only is combined as example with one below and describes.
The example of a concrete combination is: adjust soft value submodule 702 and comprise that simultaneously amplitude limit is adjusted submodule 703 and geometric ratio is adjusted submodule 704.Amplitude limit is adjusted submodule 703 when judging signal to noise ratio and reach certain value, carries out the operation that reduces soft value, and geometric ratio is adjusted submodule 704 when judging signal to noise ratio and reach another value, the operation of the soft value of execution reduction.Also can be transformed to: elder generation adjusts submodule 703 by amplitude limit and carries out the operation that reduces soft value, and the soft value after being reduced based on amplitude limit adjustment submodule 703 by geometric ratio adjustment submodule 704 is again carried out the soft Value Operations of reduction again.Other specific implementation is in this no longer repeat specification.
The soft value submodule 702 of above-mentioned adjustment can also optionally comprise notice submodule 706.
Notice submodule 706, be used in the signal to noise ratio of judging signal to noise ratio submodule 701 output during less than second predetermined value, notice is adjusted the soft value of other channel signals decodings of soft value submodule 702 uncomfortable whole deposits in during predetermined channel, at this moment, adjust soft value submodule 702 and can export unjustified soft value, unjustified soft value can be to adjust the soft value that soft value submodule 702 receives.Second predetermined value here is less than above-mentioned first predetermined value.
For frequency division systems, adjusting soft value module 700 can comprise equally: signal to noise ratio submodule 701 and the soft value submodule 702 of adjustment, and, adjusting soft value submodule 702 can comprise equally: any one in amplitude limit adjustment submodule 703, geometric ratio adjustment submodule 704 and the zero soft value submodule 705 or a plurality of can also optionally comprise notice submodule 706.In frequency division systems, above-mentioned each module is similar substantially with the operation that submodule is carried out, just each module and submodule are to reduce at the soft value that frequency carries out to adjust, and the frequency here is the frequency that is re-used, for example by two adjacent sub-districts multiplexing frequency.
Decoding module 710 be used for to receive is adjusted the soft value of soft value module 700 outputs, and according to the soft value that receives the channel signal that has known disturbances (such as above-mentioned other channel signals or the frequency that is re-used etc.) is deciphered processing.Decoding module 710 can adopt and existingly utilize soft value that the channel signal that has known disturbances is deciphered the specific implementation process of processing, processes operation in this decoding of no longer decoding module 710 being carried out and is elaborated.
From the description of above-described embodiment six as can be known, because the soft value module 700 of the adjustment among the embodiment six needs to reduce the soft value in the channel signal decode procedure that has the known disturbances road, soft value after decoding module 710 is processed according to this reduction is deciphered, therefore, embodiment six has increased the soft value module 700 of adjustment of carrying out the processing operation that reduces soft value in existing device with decoding function; Because it is considerably less to adjust the resource that the processing operation of the soft value of reduction that soft value module 700 carries out takies, usually can ignore, therefore, the device of embodiment six does not increase implementation complexity basically in existing device with decoding function; Reduce the phenomenon that higher soft value that soft value can avoid 710 pairs of decoding modules to exist adopting poor reliability in the decode procedure of channel signal of known disturbances is deciphered owing to adjust soft value module 700, therefore, the device of embodiment six can avoid insecure higher soft value to the impact of the channel signal decoding performance that has known disturbances; Adjust soft value module 700 by the degree that the size according to signal to noise ratio determines whether to reduce soft value and soft value is reduced, make 710 pairs of decoding modules exist the reliability of the soft value that adopts in the decode procedure of channel signal of known disturbances as much as possible high; Thereby the embodiment of the invention six can in the situation that does not basically increase existing implementation complexity with decoding function device, improve the decoding performance of the channel signal that has known disturbances.
Embodiment seven, has the portable terminal of decoding function.The structure that this portable terminal comprises as shown in Figure 8.
Portable terminal among Fig. 8 comprises: receiver module 800 and optimizing decoding performance device 810.This optimizing decoding performance device 810 can be soft value decoder.
Receiver module 800 is used for received signal.The signal that receiver module 800 receives can be the signal that the base station sends.
Optimizing decoding performance device 810 is used for the signal that receiver module 800 receives is deciphered.Optimizing decoding performance device 810 is in decode procedure, reduce the soft value of the channel signal decoding that has known disturbances, the soft value of decoding that has other channel signals during the predetermined channel such as reduction, the predetermined channel here is the non-orthogonal channel of the spreading code of spreading code and other channels, predetermined channel such as SCH; For another example, reduce by the soft value of decoding of the multiplexing frequency of neighbor cell.
Optimizing decoding performance device 810 can comprise: adjust soft value module 811 and decoding module 812.
Adjust soft value module 811, for reducing the soft value of the channel signal decoding that has known disturbances.Adjusting soft value module 811 can oneself determine to exist the channel signal of known disturbances and carry out the operation that reduces soft value.Adjust soft value module 811 also can reduce soft value after receiving triggering signal operation.Adjust the soft value after soft value module 811 outputs reduce adjustment.If it is a plurality of having the channel of known disturbances, then adjusting soft value module 811 can exist the channel of known disturbances all to carry out soft value reduction adjustment for all, also can exist the channel of known disturbances carry out respectively soft value for part and reduce adjustment.A plurality of channels that have a known disturbances can corresponding same soft value, also can corresponding different soft values.
Adjust soft value module 811 when the soft value that the channel signal that has known disturbances is deciphered reduces processing, can be big or small with reference to the soft value that the size of signal to noise ratio be determined to reduce after handling.At this moment, adjusting soft value module 811 comprises: signal to noise ratio submodule and the soft value submodule of adjustment.Operation that signal to noise ratio submodule and the soft value submodule of adjustment are carried out and the concrete structure of adjusting soft value submodule are like the description in the foregoing description six, in this no longer repeat specification.
Decoding module 812 be used for to receive is adjusted the soft value of soft value module 811 outputs, and according to the soft value that receives the channel signal that has known disturbances (such as above-mentioned other channel signals or by the multiplexing frequency of neighbor cell etc.) is deciphered processing.Decoding module 812 can adopt and existingly utilize soft value that the channel signal that has known disturbances is deciphered the specific implementation process of processing, processes operation in this decoding of no longer decoding module 812 being carried out and is elaborated.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential hardware platform, can certainly all implement, but the former is better execution mode under a lot of situation by hardware.Based on such understanding, all or part of can the embodying that technical scheme of the present invention contributes to background technology with the form of software product, this computer software product can be stored in the storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be a personal computer, server, the perhaps network equipment etc.) carry out the described method of some part of each embodiment of the present invention or embodiment.
Although described the present invention by embodiment, those of ordinary skills know, the present invention has many distortion and variation and do not break away from spirit of the present invention, and the claim of application documents of the present invention comprises these distortion and variation.
Claims (13)
1, a kind of optimizing decoding performance method is characterized in that, comprising:
Reduce the soft value of the channel signal decoding that has known disturbances;
According to described soft value described channel signal is deciphered processing.
2, the method for claim 1 is characterized in that, described known disturbances is: the interference that in the sign indicating number subsystem, causes by the non-orthogonal channel of spreading code, perhaps in frequency division systems by the multiplexing interference that brings of frequency.
3, method as claimed in claim 2 is characterized in that, described known disturbances is: during the interference that caused by the non-orthogonal channel of spreading code in the sign indicating number subsystem, described method comprises:
Determine to exist predetermined channel during, described predetermined channel is the non-orthogonal channel of the spreading code of spreading code and other channels;
Reduce described during in the soft value of described other channel signals decoding;
According to described soft value described other channel signals are deciphered processing.
4, method as claimed in claim 2 is characterized in that, described known disturbances is: during by the multiplexing interference that brings of frequency, described method comprises in frequency division systems:
Determine the symbol that known existence is disturbed;
Reduce the soft value of described symbol substitution;
According to described soft value described symbol is deciphered processing.
As the described method of arbitrary claim in the claim 1 to 4, it is characterized in that 5, described reduction exists the soft value of the channel signal decoding of known disturbances to comprise:
Size according to signal to noise ratio reduces the described soft value that has the channel signal decoding of known disturbances, and the size of signal to noise ratio and described soft value are inversely proportional to.
6, method as claimed in claim 5 is characterized in that, described method also comprises:
When described signal to noise ratio during less than second predetermined value, do not adjust described during in the soft value of described other channel signals decodings.
7, as the described method of arbitrary claim in the claim 1 to 4, it is characterized in that, the soft value of the channel signal decoding that the known existence of described reduction is disturbed comprise following any one or a plurality of:
By soft value amplitude limit being reduced the soft value of the channel signal decoding that known existence disturbs;
By the soft value geometric ratio range of decrease being reduced the soft value of the channel signal decoding that known existence disturbs;
When signal to noise ratio during greater than first predetermined value, the soft value of the channel signal decoding that described known existence is disturbed is reduced to zero.
8, a kind of optimizing decoding performance device is characterized in that, comprising:
Adjust soft value module, for reducing the soft value of the channel signal decoding that has known disturbances;
Decoding module is used for according to described soft value described channel signal being deciphered processing.
9, device as claimed in claim 8 is characterized in that, described known disturbances is: the interference that in the sign indicating number subsystem, causes by the non-orthogonal channel of spreading code, perhaps in frequency division systems by the multiplexing interference that brings of frequency;
In the code subsystem, the soft value module of described adjustment, be used for exist predetermined channel during, reduces described during in the soft value deciphered of described other channel signals, described predetermined channel is the non-orthogonal channel of the spreading code of spreading code and other channels;
In frequency division systems, the soft value module of described adjustment is used for the symbol that definite known existence is disturbed, and reduces the soft value of described symbol substitution.
10, install as claimed in claim 8 or 9, it is characterized in that the soft value module of described adjustment comprises:
The signal to noise ratio submodule is used to obtain signal to noise ratio;
Adjust soft value submodule, be used for reducing the described soft value that has the channel signal decoding of known disturbances according to the size of described signal to noise ratio, the size of signal to noise ratio and described soft value are inversely proportional to.
11, device as claimed in claim 10 is characterized in that, the soft value submodule of described adjustment comprise following any one or a plurality of:
Amplitude limit is adjusted submodule, be used for according to described signal to noise ratio size, by soft value amplitude limit being reduced the described soft value that has the channel signal decoding of known disturbances;
Geometric ratio is adjusted submodule, be used for according to described signal to noise ratio size, by the soft value geometric ratio range of decrease being reduced the described soft value that has the channel signal decoding of known disturbances;
Zero soft value submodule is used for being reduced to the described soft value of the channel signal decoding of known disturbances that exists zero when described signal to noise ratio during greater than first predetermined value.
12, device as claimed in claim 10 is characterized in that, the soft value module of described adjustment also comprises:
The notice submodule is used for when judging described signal to noise ratio less than second predetermined value, notifies the soft value submodule of described adjustment or not the described soft value that has the channel signal decoding of known disturbances.
13, a kind of portable terminal is characterized in that, comprising:
Receiver module is used for received signal;
The optimizing decoding performance device for reducing the soft value of the channel signal decoding that has known disturbances, and is deciphered processing according to described soft value to described channel signal.
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| CN200910090722A CN101645724A (en) | 2009-08-05 | 2009-08-05 | Method, device and mobile terminal for optimizing decoding performance |
| PCT/CN2010/071908 WO2011015054A1 (en) | 2009-08-05 | 2010-04-20 | Method, device for optimizing decoding performance and mobile terminal |
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| WO2011015054A1 (en) * | 2009-08-05 | 2011-02-10 | 华为终端有限公司 | Method, device for optimizing decoding performance and mobile terminal |
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| ATE311043T1 (en) * | 2000-08-28 | 2005-12-15 | Sony Deutschland Gmbh | SOFT NORMALIZER FOR A CHANNEL DECODER |
| US20060233283A1 (en) * | 2005-04-15 | 2006-10-19 | Via Telecom Co., Ltd. | Demodulator with individual bit-weighting algorithm |
| WO2007027778A1 (en) * | 2005-08-31 | 2007-03-08 | Interdigital Technology Corporation | Method and apparatus for scaling demodulated symbols for h-arq transmissions |
| KR101061082B1 (en) * | 2006-05-30 | 2011-09-01 | 인터디지탈 테크날러지 코포레이션 | Signal scaling method and apparatus for improving receiver performance in MIO system |
| CN101645724A (en) * | 2009-08-05 | 2010-02-10 | 深圳华为通信技术有限公司 | Method, device and mobile terminal for optimizing decoding performance |
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