CN102724690A - Method and equipment for reducing false alarm of control channel - Google Patents

Method and equipment for reducing false alarm of control channel Download PDF

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CN102724690A
CN102724690A CN2012101993493A CN201210199349A CN102724690A CN 102724690 A CN102724690 A CN 102724690A CN 2012101993493 A CN2012101993493 A CN 2012101993493A CN 201210199349 A CN201210199349 A CN 201210199349A CN 102724690 A CN102724690 A CN 102724690A
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metric
thresholding
bit sequence
soft bit
cce
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CN102724690B (en
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吴江
高振兴
江长国
刘华斌
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Abstract

The invention provides a method and equipment for reducing false alarm of a control channel. The method comprises the following steps of: receiving a soft bit sequence through a control channel; calculating a metric value according to the soft bit sequence; comparing the metric value with a preset metric value threshold; and when the metric value is greater than or equal to the metric value threshold, decoding the soft bit sequence. By the method and equipment for reducing the false alarm of the control channel, the soft bit sequence which possibly causes the false alarm of the control channel is filtered out, the probability of the false alarm of the control channel is effectively reduced, reliable demodulation of a downlink traffic channel and accurate transmission of an uplink traffic channel are guaranteed, and the false alarm of the channel is reduced.

Description

Reduce the processing method and the equipment of control channel false-alarm
Technical field
The present invention relates to the communication technology, relate in particular to a kind of processing method and equipment that reduces the control channel false-alarm.
Background technology
In high-speed radiocommunication system, generally all there is control channel, be used to indicate the contents such as schedule information of Traffic Channel.For the LTE system; Information such as MCS through given PDSCH of DCI and PUSCH and resource allocation; And on the PDCCH physical channel that DCI carries, the shared resource units of PDCCH physical channel is called control channel unit (Control Channel Element; Be called for short: CCE).In addition, in the UE side, whether current subframe exists the DCI of certain form and shared CCE number all is unknown, thereby needs to attempt confirming through blind Detecting.
In the prior art, control channel usually uses the CRC conduct indication whether success detects, and is concrete; Be that transmitting terminal goes out verification sequence for information payload sequence (being the DCI sequence) according to given polynomial computation; And this verification sequence is added on after this information payload sequence, again the information payload sequence after adding is encoded, be carried on after the rate-matched on several CCE; Pass through scrambling then and other PDCCH are together multiplexing; Need to prove, thereby in multiplexing process, need to fill the The whole control district that the NIL element takes system assignment, at last through adjustment, transmit diversity, resource element mapping; Generate the PDCCH physical channel, and this PDCCH physical channel is sent to receiving terminal.Receiving terminal is deciphered this PDCCH physical channel; And calculate and obtain a verification sequence according to the information payload sequence of the multinomial identical after to decoding with transmitting terminal; And relatively with the verification sequence after this verification sequence and the decoding; When the two is equal, then correct in the sign that detects DCI with this CRC, and the DCI after the corresponding output decoding.
But, in the process that repeatedly blind check is attempted, because randomness; The position probing that possibly cause not sending out PDCCH is also correct to CRC; Thereby caused the DCI false-alarm, and then caused the wrong or PUSCH mistake transmission of separating of PDSCH, and can impact the system signaling flow process.
Summary of the invention
The present invention provides a kind of processing method and equipment that reduces the control channel false-alarm, is used for reducing effectively the probability of control channel false-alarm.
First aspect of the present invention provides a kind of processing method that reduces the control channel false-alarm, comprising:
Receive the soft bit sequence of control channel;
According to said soft bit sequence, computing metric;
Said metric and predefined metric thresholding are compared,, said soft bit sequence is deciphered processing when said metric during more than or equal to said metric thresholding.
Another aspect of the present invention provides a kind of subscriber equipment, comprising:
Receiver module is used to receive the soft bit sequence of control channel;
The metric computing module is used for according to said soft bit sequence, computing metric;
Comparison module is used for said metric and predefined metric thresholding are compared;
The decoding processing module is used for when said comparison module compares said metric more than or equal to said metric thresholding, said soft bit sequence being deciphered processing.
Technique effect of the present invention is: through receiving the soft bit sequence of control channel; And according to this soft bit sequence; Computing metric when metric during more than or equal to predefined metric thresholding, is deciphered processing to soft bit sequence; Thereby cross the soft bit sequence that elimination possibly cause the control channel false-alarm; And then reduced the probability of control channel false-alarm effectively, guarantee the reliable demodulation of downlink traffic channel and the correct transmission of reverse link traffic channel, and reduced the probability of happening of the exceptional signaling flow process that the channel false-alarm causes.
Description of drawings
Fig. 1 reduces an embodiment flow chart of the processing method of control channel false-alarm for the present invention;
Fig. 2 reduces the flow chart of another embodiment of the processing method of control channel false-alarm for the present invention;
Fig. 3 reduces the flow chart of another embodiment of the processing method of control channel false-alarm for the present invention;
Fig. 4 reduces the also flow chart of an embodiment of the processing method of control channel false-alarm for the present invention;
Fig. 5 reduces the flow chart of another embodiment of the processing method of control channel false-alarm for the present invention;
Fig. 6 is the structural representation of an embodiment of subscriber equipment of the present invention;
Fig. 7 is the structural representation of another embodiment of subscriber equipment of the present invention;
Fig. 8 is the structural representation of another embodiment of subscriber equipment of the present invention.
Embodiment
Fig. 1 reduces an embodiment flow chart of the processing method of control channel false-alarm for the present invention, as shown in Figure 1, the method for present embodiment comprises:
The soft bit sequence of step 101, reception control channel.
In the present embodiment, concrete, this control channel can be a kind of in the following control channel: the PDCCH channel in the LTE system; The high speed uplink downlink packet inserts (High Speed Uplink Packet Access; Be called for short: the control channel HSPA); HSPA, WCDMA (Wideband Code Division Multiple Access; Be called for short: WCDMA) and time-division S-CDMA (Time Division-Synchronous Code Division Multiple Access; Be called for short: the control channel TD-SCDMA), code division multiple access (Code Division Multiple Access; Be called for short: the CDMA) control channel among the 2000EVDO; Worldwide interoperability for microwave inserts (Worldwide Interoperability for Microwave Access; Be called for short: the control channel Wimax).Need to prove,, all can adopt technical scheme of the present invention as long as control channel is to adopt CRC as verification.
More concrete, this soft bit sequence is the log-likelihood ratio of demodulation output.In addition, control channel is carried out demodulation try to achieve the process of soft bit sequence and determine, this demodulating algorithm is not limited among the present invention by demodulating algorithm.
Step 102, this soft bit sequence of basis, computing metric.
Step 103, this metric and predefined metric thresholding are compared,, this soft bit sequence is deciphered processing when this metric during more than or equal to this metric thresholding.
Preferably, the concrete implementation of this soft bit sequence being deciphered processing is:
This soft bit sequence is separated rate-matched, deconvolution coding and separated CRC and the UE_ID processing.
In the present embodiment, if the verification sequence of separating behind the CRC equals UE_ID, then show the control channel of having separated this subscriber equipment; Otherwise show the control channel of not receiving this UE.
In addition, when metric less than predefined metric thresholding, then finish this control channel and detect and attempt.
In the present embodiment; Receive the soft bit sequence of control channel, and according to this soft bit sequence, computing metric; When metric during more than or equal to predefined metric thresholding; Soft bit sequence is deciphered processing, possibly cause the soft bit sequence of control channel false-alarm thereby cross elimination, and then reduce the probability of control channel false-alarm effectively; Guarantee the reliable demodulation of downlink traffic channel and the correct transmission of reverse link traffic channel, and reduced the probability of happening of the exceptional signaling flow process of channel false-alarm initiation.
Fig. 2 reduces the flow chart of another embodiment of the processing method of control channel false-alarm for the present invention, in the present embodiment, for the PDCCH channel is an example, introduce the technical scheme of present embodiment with the control channel in detail, and as shown in Figure 2, the method for present embodiment comprises:
The soft bit sequence of step 201, reception PDCCH channel.
Step 202, this soft bit sequence of basis, adopt formula (1):
S tot = 1 D Σ i = 0 D - 1 | x i | - - - ( 1 )
Computing block metric S Tot
Wherein, x i(i=0 ..., D-1) this soft bit sequence of expression, D representes the length of this soft bit sequence.
Step 203, this metric and this lumpiness value thresholding are compared, if this metric is less than this lumpiness value thresholding, then execution in step 205; If this metric is more than or equal to this lumpiness value thresholding, then execution in step 204.
In the present embodiment, predefined metric thresholding can comprise lumpiness value thresholding.
Step 204, this soft bit sequence is deciphered processing.Finish.
Concrete, this soft bit sequence is separated rate-matched, deconvolution coding and separated CRC and the UE_ID processing.
Step 205, finish this control channel and detect and attempt.
In the present embodiment, receive the soft bit sequence of PDCCH channel, and according to this soft bit sequence; Adopt formula (1); Computing metric when metric during more than or equal to predefined metric thresholding, is deciphered processing to soft bit sequence; Thereby cross the soft bit sequence that elimination possibly cause the control channel false-alarm; And then reduced the probability of control channel false-alarm effectively, guarantee the reliable demodulation of PDSCH and the correct transmission of PUSCH, and reduced the probability of happening of the exceptional signaling flow process that the channel false-alarm causes.
Fig. 3 reduces the flow chart of another embodiment of the processing method of control channel false-alarm for the present invention; On above-mentioned basis embodiment illustrated in fig. 2; When this predefined metric thresholding comprises the mapping relations of lumpiness value thresholding and signal to noise ratio; After the step 202, before the step 203, this method can further include:
Step 206, inquire about the mapping relations of this lumpiness value thresholding and signal to noise ratio, obtain the lumpiness value thresholding corresponding with the signal to noise ratio that measures.
Then the another kind of concrete implementation of step 203 is: this metric is compared with the corresponding lumpiness value thresholding of this signal to noise ratio with institute, when this metric less than and during the lumpiness value thresholding of this signal to noise ratio correspondence, execution in step 205; When this metric more than or equal to during with the corresponding lumpiness value thresholding of this signal to noise ratio, execution in step 204.
Fig. 4 reduces the also flow chart of an embodiment of the processing method of control channel false-alarm for the present invention, in the present embodiment, for the PDCCH channel is an example, introduce the technical scheme of present embodiment with the control channel in detail, and as shown in Figure 4, the method for present embodiment comprises:
The soft bit sequence of step 301, reception PDCCH channel.
Step 302, this soft bit sequence of basis, adopt formula (2):
S tot = 1 L Σ i = 0 L · E - 1 | x i | - - - ( 2 )
Computing block metric S TotAnd employing formula (3):
S CCE ( k ) = Σ i = k · E ( k + 1 ) · E - 1 | x i | - - - ( 3 )
Calculate single CCE metric S of L CCE CCE(k);
Wherein, x i(i=0 ..., LE-1) this soft bit sequence of expression, L representes the CCE number, E representes the length of single CCE.
Step 303, with this lumpiness value S TotCompare and each single CCE metric S with lumpiness value thresholding CCE(k) and this list CCE metric thresholding compare; As this lumpiness value S TotMore than or equal to lumpiness value thresholding, and each single CCE metric S CCEDuring (k) more than or equal to this list CCE metric thresholding, execution in step 304; As this lumpiness value S TotLess than lumpiness value thresholding, or an arbitrary single CCE metric is less than this list CCE metric thresholding in the individual single CCE metric of L, and then execution in step 305.
In the present embodiment, the metric thresholding of this default settings comprises lumpiness value thresholding and single CCE metric thresholding.
Step 304, this soft bit sequence is deciphered processing.Finish.
Concrete, this soft bit sequence is separated rate-matched, deconvolution coding and separated CRC and the UE_ID processing.
Step 305, finish this control channel and detect and attempt.
In the present embodiment, receive the soft bit sequence of PDCCH channel, and according to this soft bit sequence, adopt formula (2) and (3), single CCE metric of a computing block metric and L CCE is as this lumpiness value S TotMore than or equal to lumpiness value thresholding, and each single CCE metric S CCEDuring (k) more than or equal to this list CCE metric thresholding; Soft bit sequence is deciphered processing; Thereby cross the soft bit sequence that elimination possibly cause the control channel false-alarm; And then reduced the probability of control channel false-alarm effectively, guarantee the reliable demodulation of PDSCH and the correct transmission of PUSCH, and reduced the probability of happening of the exceptional signaling flow process that the channel false-alarm causes.
Fig. 5 reduces the flow chart of another embodiment of the processing method of control channel false-alarm for the present invention; On above-mentioned basis embodiment illustrated in fig. 4; When this predefined metric thresholding comprises the mapping relations of lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio; After the step 302, before the step 303, this method can further include:
Step 306, inquire about the mapping relations of this lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio, obtain the lumpiness value thresholding corresponding and single CCE metric thresholding with the signal to noise ratio that measures.
Then the another kind of concrete implementation of step 303 is: with this lumpiness value S TotWith the corresponding lumpiness value thresholding of this signal to noise ratio and each should list CCE metric S CCE(k) and the corresponding single CCE metric thresholding of this signal to noise ratio compare, as this lumpiness value S TotMore than or equal to the corresponding lumpiness value thresholding of this signal to noise ratio, and each single CCE metric S CCEDuring (k) more than or equal to the corresponding single CCE metric thresholding of this signal to noise ratio, execution in step 304; As this lumpiness value S TotLess than the corresponding lumpiness value thresholding of this signal to noise ratio, or an arbitrary single CCE metric is less than the corresponding single CCE metric thresholding of this signal to noise ratio in the individual single CCE metric of L, and then execution in step 305.
Fig. 6 is the structural representation of an embodiment of subscriber equipment of the present invention, and as shown in Figure 6, the subscriber equipment of present embodiment comprises: receiver module 11, metric computing module 12, comparison module 13 and decoding processing module 14.Wherein, receiver module 11 is used to receive the soft bit sequence of control channel; Metric computing module 12 is used for according to this soft bit sequence, computing metric; Comparison module 13 is used for this metric and predefined metric thresholding are compared; Decoding processing module 14 is used for when this comparison module 13 compares this metric more than or equal to this metric thresholding, this soft bit sequence being deciphered processing.
The subscriber equipment of present embodiment can be carried out the technical scheme of method embodiment shown in Figure 1, and it realizes that principle is similar, repeats no more here.
In the present embodiment; Receive the soft bit sequence of control channel, and according to this soft bit sequence, computing metric; When metric during more than or equal to predefined metric thresholding; Soft bit sequence is deciphered processing, possibly cause the soft bit sequence of control channel false-alarm thereby cross elimination, and then reduce the probability of control channel false-alarm effectively; Guarantee the reliable demodulation of downlink traffic channel and the correct transmission of reverse link traffic channel, and reduced the probability of happening of the exceptional signaling flow process of channel false-alarm initiation.
Fig. 7 is the structural representation of another embodiment of subscriber equipment of the present invention; On above-mentioned basis embodiment illustrated in fig. 6, as shown in Figure 7, when this metric comprises the lumpiness value; This metric computing module 12 specifically is used for according to said soft bit sequence, adopts formula
Figure BDA00001773728700071
Computing block metric S TotWherein, x i(i=0 ..., D-1) this soft bit sequence of expression, D representes the length of this soft bit sequence.
Preferably, when this predefined metric thresholding comprised lumpiness value thresholding, this comparison module concrete 13 was used for this metric and this lumpiness value thresholding are compared; Then this decoding processing module 14 specifically is used for when this metric during more than or equal to this lumpiness value thresholding this soft bit sequence being deciphered processing.
Perhaps; When this predefined metric thresholding comprises the mapping relations of lumpiness value thresholding and signal to noise ratio; This subscriber equipment also comprises: thresholding acquisition module 15; Be used to inquire about the mapping relations of this lumpiness value thresholding and signal to noise ratio, obtain the lumpiness value thresholding corresponding with the signal to noise ratio that measures.Then comparison module 13 specifically is used for the lumpiness value thresholding that this metric is corresponding with this signal to noise ratio and compares; This decoding processing module 14 specifically is used for when this comparison module 13 compares this metric more than or equal to the corresponding lumpiness value thresholding of this signal to noise ratio, this soft bit sequence being deciphered processing.
More preferably, decoding processing module 14 comprises: separate rate-matched unit 141, deconvolution coding unit 142 reconciliation CRC and UE_ID processing units 143; Wherein, separating rate-matched unit 141 is used for this soft bit sequence is separated rate-matched; Deconvolution coding unit 142 is used for the soft bit sequence of separating after the rate-matched is carried out the deconvolution coding; Separating CRC and UE_ID processing unit 143 is used for the soft bit sequence behind the deconvolution coding is separated CRC and UE_ID processing.
The subscriber equipment of present embodiment can execution graph 2 or the technical scheme of method embodiment shown in Figure 3, and it realizes that principle is similar, repeats no more here.
Fig. 8 is the structural representation of another embodiment of subscriber equipment of the present invention; On above-mentioned basis embodiment illustrated in fig. 6; As shown in Figure 8; When this metric comprised the single CCE metric of lumpiness value and L CCE, this metric computing module 12 specifically was used for according to this soft bit sequence, the employing formula
Figure BDA00001773728700081
Computing block metric S TotAnd employing formula
Figure BDA00001773728700082
Calculate single CCE metric S of L CCE CCE(k); Wherein, x i(i=0 ..., LE-1) this soft bit sequence of expression, L representes the CCE number, E representes the length of single CCE.
Preferably, when the metric thresholding of this default settings comprised lumpiness value thresholding and single CCE metric thresholding, this comparison module 13 specifically was used for this lumpiness value S TotCompare with lumpiness value thresholding and each should list CCE metric S CCE(k) and this list CCE metric thresholding compare; This decoding processing module 14 specifically is used for comparing this lumpiness value S when this comparison module TotMore than or equal to this lumpiness value thresholding, and each should list CCE metric S CCEDuring (k) all more than or equal to single CCE metric thresholding, this soft bit sequence is deciphered processing.
Perhaps; When this predefined metric thresholding comprises the mapping relations of lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio; This subscriber equipment also comprises: thresholding acquisition module 16 is used to inquire about the mapping relations of this lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio, obtains the lumpiness value thresholding corresponding with the signal to noise ratio that measures and single CCE metric thresholding;
Then this comparison module 13 specifically is used for this lumpiness value S TotCompare with the corresponding lumpiness value thresholding of this signal to noise ratio and each should list CCE metric S CCE(k) and the corresponding single CCE metric thresholding of this signal to noise ratio compare;
Decoding processing module 14 specifically is used for comparing this lumpiness value S when this comparison module 13 TotMore than or equal to the corresponding lumpiness value thresholding of this signal to noise ratio, and each should list CCE metric S CCEDuring (k) all more than or equal to the corresponding single CCE metric thresholding of this signal to noise ratio, this soft bit sequence is deciphered processing.
More preferably, decoding processing module 14 comprises: separate rate-matched unit 144, deconvolution coding unit 145 reconciliation CRC and UE_ID processing units 146; Wherein, separating rate-matched unit 144 is used for this soft bit sequence is separated rate-matched; Deconvolution coding unit 145 is used for the soft bit sequence of separating after the rate-matched is carried out the deconvolution coding; Separating CRC and UE_ID processing unit 146 is used for the soft bit sequence behind the deconvolution coding is separated CRC and UE_ID processing.
The subscriber equipment of present embodiment can execution graph 4 or the technical scheme of method embodiment shown in Figure 5, and it realizes that principle is similar, repeats no more here.
One of ordinary skill in the art will appreciate that: all or part of step that realizes above-mentioned each method embodiment can be accomplished through the relevant hardware of program command.Aforesaid program can be stored in the computer read/write memory medium.This program the step that comprises above-mentioned each method embodiment when carrying out; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
What should explain at last is: above each embodiment is only in order to explaining technical scheme of the present invention, but not to its restriction; Although the present invention has been carried out detailed explanation with reference to aforementioned each embodiment; Those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment put down in writing, perhaps to wherein part or all technical characteristic are equal to replacement; And these are revised or replacement, do not make the scope of the essence disengaging various embodiments of the present invention technical scheme of relevant art scheme.

Claims (16)

1. a processing method that reduces the control channel false-alarm is characterized in that, comprising:
Receive the soft bit sequence of control channel;
According to said soft bit sequence, computing metric;
Said metric and predefined metric thresholding are compared,, said soft bit sequence is deciphered processing when said metric during more than or equal to said metric thresholding.
2. the processing method of reduction control channel false-alarm according to claim 1 is characterized in that, when said metric comprised the lumpiness value, said according to said soft bit sequence, computing metric comprised:
According to said soft bit sequence, adopt formula
Figure FDA00001773728600011
Computing block metric S Tot
Wherein, x i(i=0 ..., D-1) the said soft bit sequence of expression, D representes the length of said soft bit sequence.
3. the processing method of reduction control channel false-alarm according to claim 1 is characterized in that, when said metric comprised the single CCE metric of lumpiness value and L CCE, said according to said soft bit sequence, computing metric comprised:
According to said soft bit sequence, adopt formula
Figure FDA00001773728600012
Computing block metric S TotAnd employing formula
Figure FDA00001773728600013
Calculate single CCE metric S of L CCE CCE(k);
Wherein, x i(i=0 ..., LE-1) the said soft bit sequence of expression, L representes the CCE number, E representes the length of single CCE.
4. the processing method of reduction control channel false-alarm according to claim 2; It is characterized in that; When said predefined metric thresholding comprises lumpiness value thresholding, said said metric and predefined metric thresholding are compared, when said metric during more than or equal to said metric thresholding; Said soft bit sequence is deciphered processing, is specially:
Said metric and said lumpiness value thresholding are compared,, said soft bit sequence is deciphered processing when said metric during more than or equal to said lumpiness value thresholding.
5. the processing method of reduction control channel false-alarm according to claim 2; It is characterized in that; When said predefined metric thresholding comprises the mapping relations of lumpiness value thresholding and signal to noise ratio; Said method also comprises: inquire about the mapping relations of said lumpiness value thresholding and signal to noise ratio, obtain the lumpiness value thresholding corresponding with the signal to noise ratio that measures;
Then said said metric and predefined metric thresholding are compared; When said metric during more than or equal to said metric thresholding; Said soft bit sequence is deciphered processing; Be specially: with said metric with compare with the corresponding lumpiness value thresholding of said signal to noise ratio, when said metric during, said soft bit sequence is deciphered processing more than or equal to the lumpiness value thresholding of said signal to noise ratio correspondence.
6. the processing method of reduction control channel false-alarm according to claim 3; It is characterized in that; When the metric thresholding of said default settings comprises lumpiness value thresholding and single CCE metric thresholding, said said metric and predefined metric thresholding are compared, when said metric during more than or equal to said metric thresholding; Said soft bit sequence is deciphered processing, be specially: with said lumpiness value S TotCompare and each said single CCE metric S with lumpiness value thresholding CCE(k) and said single CCE metric thresholding compare, as said lumpiness value S TotMore than or equal to said lumpiness value thresholding, and each said single CCE metric S CCEDuring (k) all more than or equal to single CCE metric thresholding, said soft bit sequence is deciphered processing.
7. the processing method of reduction control channel false-alarm according to claim 3 is characterized in that, when said predefined metric thresholding comprised the mapping relations of lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio, said method also comprised:
Inquire about the mapping relations of said lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio, obtain the lumpiness value thresholding corresponding and single CCE metric thresholding with the signal to noise ratio that measures;
Then said said metric and predefined metric thresholding are compared,, then said soft bit sequence is deciphered processing, be specially: said lumpiness value S when said metric during more than or equal to said metric thresholding TotLumpiness value thresholding and each the said single CCE metric S corresponding with said signal to noise ratio CCE(k) and the corresponding single CCE metric thresholding of said signal to noise ratio compare, as said lumpiness value S TotMore than or equal to the corresponding lumpiness value thresholding of said signal to noise ratio, and each said single CCE metric S CCEDuring (k) all more than or equal to the corresponding single CCE metric thresholding of said signal to noise ratio, said soft bit sequence is deciphered processing.
8. according to the processing method of the arbitrary described reduction control channel false-alarm of claim 1 to 7, it is characterized in that, said said soft bit sequence deciphered processing, comprising:
Said soft bit sequence is separated rate-matched, deconvolution coding and separated CRC and the UE_ID processing.
9. a subscriber equipment is characterized in that, comprising:
Receiver module is used to receive the soft bit sequence of control channel;
The metric computing module is used for according to said soft bit sequence, computing metric;
Comparison module is used for said metric and predefined metric thresholding are compared;
The decoding processing module is used for when said comparison module compares said metric more than or equal to said metric thresholding, said soft bit sequence being deciphered processing.
10. subscriber equipment according to claim 9 is characterized in that, when said metric comprised the lumpiness value, said metric computing module specifically was used for according to said soft bit sequence, adopts formula Computing block metric S Tot
Wherein, x i(i=0 ..., D-1) the said soft bit sequence of expression, D representes the length of said soft bit sequence.
11. subscriber equipment according to claim 9 is characterized in that, when said metric comprised the single CCE metric of lumpiness value and L CCE, said metric computing module specifically was used for according to said soft bit sequence, adopted formula Computing block metric S TotAnd employing formula Calculate single CCE metric S of L CCE CCE(k);
Wherein, x i(i=0 ..., LE-1) the said soft bit sequence of expression, L representes the CCE number, E representes the length of single CCE.
12. subscriber equipment according to claim 10 is characterized in that, when said predefined metric thresholding comprised lumpiness value thresholding, said comparison module specifically was used for said metric and said lumpiness value thresholding are compared; Then said decoding processing module specifically is used for when said metric during more than or equal to said lumpiness value thresholding said soft bit sequence being deciphered processing.
13. subscriber equipment according to claim 10 is characterized in that, when said predefined metric thresholding comprised the mapping relations of lumpiness value thresholding and signal to noise ratio, said subscriber equipment also comprised:
The thresholding acquisition module is used to inquire about the mapping relations of said lumpiness value thresholding and signal to noise ratio, obtains the lumpiness value thresholding corresponding with the signal to noise ratio that measures;
Then said comparison module specifically is used for the lumpiness value thresholding that said metric is corresponding with said signal to noise ratio and compares;
Said decoding processing module specifically is used for when said comparison module compares said metric more than or equal to the corresponding lumpiness value thresholding of said signal to noise ratio, said soft bit sequence being deciphered processing.
14. subscriber equipment according to claim 11 is characterized in that, when the metric thresholding of said default settings comprised lumpiness value thresholding and single CCE metric thresholding, said comparison module specifically was used for said lumpiness value S TotCompare and each said single CCE metric S with lumpiness value thresholding CCE(k) and said single CCE metric thresholding compare;
Said decoding processing module specifically is used for comparing said lumpiness value S when said comparison module TotMore than or equal to said lumpiness value thresholding, and each said single CCE metric S CCEDuring (k) all more than or equal to single CCE metric thresholding, said soft bit sequence is deciphered processing.
15. subscriber equipment according to claim 11 is characterized in that, when said predefined metric thresholding comprised the mapping relations of lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio, said subscriber equipment also comprised:
The thresholding acquisition module is used to inquire about the mapping relations of said lumpiness value thresholding, single CCE metric thresholding and signal to noise ratio, obtains the lumpiness value thresholding corresponding with the signal to noise ratio that measures and single CCE metric thresholding;
Then said comparison module specifically is used for said lumpiness value S TotThe lumpiness value thresholding corresponding with said signal to noise ratio compares and each said single CCE metric S CCE(k) and the corresponding single CCE metric thresholding of said signal to noise ratio compare;
Said decoding processing module specifically is used for comparing said lumpiness value S when said comparison module TotMore than or equal to the corresponding lumpiness value thresholding of said signal to noise ratio, and each said single CCE metric S CCEDuring (k) all more than or equal to the corresponding single CCE metric thresholding of said signal to noise ratio, said soft bit sequence is deciphered processing.
16., it is characterized in that said decoding processing module comprises according to the arbitrary described subscriber equipment of claim 9 to 15:
Separate the rate-matched unit, be used for said soft bit sequence is separated rate-matched;
The deconvolution coding unit is used for the soft bit sequence of separating after the rate-matched is carried out the deconvolution coding;
Separate CRC and UE_ID processing unit, be used for the soft bit sequence behind the deconvolution coding is separated CRC and UE_ID processing.
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CN105790882A (en) * 2014-12-17 2016-07-20 深圳市中兴微电子技术有限公司 Method and device for reducing false detection rate
CN108347312A (en) * 2017-01-25 2018-07-31 华为技术有限公司 Control sending and receiving method, the network equipment and the terminal device of information
CN110635866A (en) * 2019-10-30 2019-12-31 紫光展锐(重庆)科技有限公司 Blind detection method of control channel, terminal, network element and storage medium
CN114499548A (en) * 2022-04-02 2022-05-13 哲库科技(北京)有限公司 Decoding method, device and storage medium

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CN105790882A (en) * 2014-12-17 2016-07-20 深圳市中兴微电子技术有限公司 Method and device for reducing false detection rate
CN105790882B (en) * 2014-12-17 2019-04-30 深圳市中兴微电子技术有限公司 A kind of method and device reducing false detection rate
CN104639284A (en) * 2015-01-05 2015-05-20 华为技术有限公司 Decoding processing method and device
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CN108347312A (en) * 2017-01-25 2018-07-31 华为技术有限公司 Control sending and receiving method, the network equipment and the terminal device of information
CN108347312B (en) * 2017-01-25 2020-06-16 华为技术有限公司 Control information sending and receiving method, network equipment and terminal equipment
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CN110635866A (en) * 2019-10-30 2019-12-31 紫光展锐(重庆)科技有限公司 Blind detection method of control channel, terminal, network element and storage medium
CN114499548A (en) * 2022-04-02 2022-05-13 哲库科技(北京)有限公司 Decoding method, device and storage medium
CN114499548B (en) * 2022-04-02 2022-07-05 哲库科技(北京)有限公司 Decoding method, device and storage medium

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