CN117615404A - Signal detection method, device, electronic equipment and medium - Google Patents
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Abstract
The invention discloses a signal detection method, a signal detection device, electronic equipment and a medium, wherein the method comprises the following steps: acquiring a target soft information sequence at a preset position in the demodulated shared channel data; descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence; calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence; and comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result. The method improves the reliability of signal detection and reduces the computational complexity.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a signal detection method, a signal detection device, an electronic device, and a medium.
Background
In a 5G communication system, when a user successfully receives downlink control information sent by a base station, the user sends an ACK/NACK signal to the base station, if the user correctly receives downlink data service, the user can transmit the ACK/NACK signal to the base station through a Physical Uplink Control Channel (PUCCH), or can transmit the ACK/NACK signal on a Physical Uplink Shared Channel (PUSCH); when the user does not receive the downlink control information sent by the base station, discontinuous transmission (Discontinuous Transmission, DTX) is performed, i.e. no signal is transmitted.
Unlike transmission on PUCCH, ACK/NACK occupies resources of traffic data when transmitted on PUSCH, that is, transmission of traffic data is still performed on PUSCH corresponding resources without transmitting ACK/NACK, so when receiving shared channel data, a base station needs to determine whether ACK/NACK information multiplexing exists and whether ACK or NACK is transmitted. If accurate DTX detection is not possible, it may result in missed or false detection, the former detecting ACK or NACK as DTX and the latter detecting DTX as ACK or NACK. If the ACK is misjudged as DTX, the downlink service data which is successfully received is retransmitted once, so that the resource waste is caused; if the DTX is misjudged as ACK, the base station considers that the downlink service data transmitted this time has been successfully received by the user, so as to prepare to start transmitting new downlink service data. Therefore, how to perform effective DTX detection on PUSCH is one of the technical problems that 5G is urgently needed to solve.
Some existing signal detection methods propose to calculate a comparison result between theoretical transmission energy of received soft information and actual transmission energy, and perform DTX detection by using the comparison result, but the method lacks processing of placeholders, so that DTX detection performance is limited. In addition, some signal detection methods require additional computational overhead, increasing the complexity of the algorithm.
Disclosure of Invention
The invention provides a signal detection method, a signal detection device, electronic equipment and a medium, which are used for improving the reliability of signal detection and reducing the computational complexity.
According to an aspect of the present invention, there is provided a signal detection comprising:
acquiring a target soft information sequence at a preset position in the demodulated shared channel data;
descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence;
calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence;
And comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result.
According to another aspect of the present invention, there is provided a signal detection apparatus including:
the acquisition module is used for acquiring a target soft information sequence at a preset position in the demodulated shared channel data;
the descrambling processing module is used for carrying out descrambling processing on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence;
the calculation module is used for calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence;
and the comparison module is used for determining to compare the minimum detection value with a preset threshold value and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result.
According to another aspect of the present invention, there is provided an electronic apparatus including:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the signal detection method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the signal detection method according to any one of the embodiments of the present invention.
The embodiment of the invention provides a signal detection method, a device, electronic equipment and a medium, wherein the method comprises the following steps: acquiring a target soft information sequence at a preset position in the demodulated shared channel data; descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence; calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence; and comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result. By using the technical scheme, the minimum value in Euclidean distance between the value corresponding to the preset bit in the descrambling output sequence and the value corresponding to the preset bit in the preset receiving sequence is calculated, and the minimum detection value is compared with the preset threshold value, so that the reliability of signal detection is improved, and the calculation complexity is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a signal detection method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a signal detection method according to a second embodiment of the present invention;
fig. 3 is a flowchart of another signal detection method according to the second embodiment of the present invention;
fig. 4 is a schematic structural diagram of a signal detection device according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a signal detection method according to a first embodiment of the present invention, where the method may be performed by a signal detection device, which may be implemented in hardware and/or software, and the signal detection device may be configured in an electronic device, where the method is applicable to detecting whether an ACK/NACK signal exists in shared channel data. As shown in fig. 1, the method includes:
s110, acquiring a target soft information sequence at a preset position in the demodulated shared channel data.
The demodulated shared channel data may be considered as data after demodulating the received shared channel data, the preset position may be a preset position, and it may be considered that the data at the preset position may be data of a resource corresponding to ACK/NACK, and the target soft information sequence is a soft information sequence at the preset position in the demodulated shared channel data.
Specifically, the demodulated shared channel data may be demultiplexed according to the originating channel multiplexing process, and the soft information sequence on the resource corresponding to the ACK/NACK, that is, the target soft information sequence, is taken out from the soft information sequence output by demodulation, so as to be used for the subsequent signal detection process.
S120, descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence.
The descrambling sequence may refer to a sequence used when performing the descrambling process, and the descrambling sequence may be determined according to practical situations, for example, the descrambling sequence may be obtained by using a placeholder in the target soft information sequence, or may be further determined by using a scrambling sequence. The descrambling output sequence may be understood as a sequence obtained by descrambling the target soft information sequence.
In this embodiment, the obtained target soft information sequence may be subjected to descrambling processing based on the descrambling sequence to obtain a descrambling output sequence, and the specific descrambling processing method is not limited, and the descrambling output sequence may be obtained by calculating the target soft information sequence and the descrambling sequence, for example, a product of the target soft information sequence and the descrambling sequence may be used as the descrambling output sequence; the target soft information sequence may also be adjusted based on the descrambling sequence to obtain a corresponding descrambling output sequence, which is not limited in this embodiment.
S130, calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence.
The preset receiving sequence may be considered as a preset receiving sequence, for example, may be a sequence demodulated by a preset ideal constellation point, and the number of the preset receiving sequences may be one or more. The preset bit may be a preset bit, for example, the preset bit may be an information bit, or may be a check bit, or may be a preset placeholder. The minimum detection value can be understood as the minimum value in euclidean distance between the value corresponding to the preset bit in the descrambling output sequence and the value corresponding to the preset bit in the preset receiving sequence.
Specifically, after the descrambling output sequence is obtained, the minimum detection value between the descrambling output sequence and the preset receiving sequence can be calculated, so that the subsequent ACK/NACK signal judgment can be performed according to the calculated minimum detection value, wherein the mode of calculating the minimum detection value is not limited, and if different preset bits can correspond to different modes, correspondingly, the minimum detection values calculated by different preset bits are also different; or the calculation mode of the minimum detection value can be determined according to the difference of the information quantity corresponding to the information bits in the descrambling output sequence. This embodiment will not be further described.
And S140, comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result.
The preset threshold value may be considered as a threshold value of the detection value, and is used for detecting whether the ACK/NACK signal exists in the shared channel data, the specific size of the preset threshold value may be determined by an empirical value, and the number of the preset threshold values may be determined according to the number of the minimum detection values.
The step may compare the calculated minimum detection value with a preset threshold value to obtain a comparison result, and determine whether the ACK/NACK signal exists in the shared channel data according to the obtained comparison result, which is exemplified by comparing the minimum detection value with the preset threshold value to obtain the comparison result, or determining the comparison result according to the difference between the minimum detection value and the preset threshold value. For example, when the comparison result is that the minimum detection value is greater than the preset threshold value, it is indicated that the minimum detection value has exceeded the critical value of the detection value, and at this time, it may be considered that the ACK/NACK signal is not present in the shared channel data; otherwise, when the comparison result is that the minimum detection value is smaller than the preset threshold value, it is indicated that the minimum detection value does not exceed the critical value of the detection value, and at this time, the ACK/NACK signal can be considered to exist in the shared channel data.
The first embodiment of the invention provides a signal detection method, which is used for acquiring a target soft information sequence at a preset position in demodulated shared channel data; descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence; calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence; and comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result. By using the method, the minimum value in Euclidean distance between the value corresponding to the preset bit in the descrambling output sequence and the value corresponding to the preset bit in the preset receiving sequence is calculated, and the minimum detection value is compared with the preset threshold value, so that the reliability of signal detection is improved, and the calculation complexity is reduced.
In one embodiment, before the descrambling process is performed on the target soft information sequence based on the descrambling sequence, the method further includes:
And calculating a descrambling sequence corresponding to the target soft information sequence.
In one embodiment, before the target soft information sequence is descrambled based on the descrambling sequence to obtain the descrambling output sequence, the descrambling sequence corresponding to the target soft information sequence may be calculated, where the calculating process may, for example, obtain the descrambling sequence according to the position of the placeholder in the target soft information sequence, obtain the descrambling sequence according to the number of placeholders in the target soft information sequence, and further obtain the descrambling sequence according to the type of the placeholder in the target soft information sequence, and so on.
In one embodiment, the calculating the descrambling sequence corresponding to the target soft information sequence includes:
generating a new scrambling sequence based on the position of the placeholder in the target soft information sequence and the scrambling sequence;
and calculating a descrambling sequence corresponding to the target soft information sequence according to the new scrambling sequence.
The scrambling sequence may be considered as a sequence used by the originating scrambling to reduce interference in the communication and increase the security of the data. For example, the scrambling sequence may be used to scramble the bit sequence after channel multiplexing, and in particular, when the input bit corresponds to the placeholder "y", the bit value outputted after scrambling may be equal to the bit value outputted after scrambling at the position before the placeholder "y"; when the input bit corresponds to the placeholder "x", then the bit value output after scrambling may be 1.
In one embodiment, a new scrambling sequence may be generated based on the position of the placeholder in the target soft information sequence and the scrambling sequence, for example, the scrambling bit value at the position corresponding to the placeholder "y" is processed according to the scrambling sequence to generate a new scrambling bit sequence, and then the descrambling sequence corresponding to the target soft information sequence is calculated according to the generated new scrambling sequence, for example, the new scrambling sequence may be directly regarded as the descrambling sequence corresponding to the target soft information sequence, or the new scrambling sequence may be calculated to obtain the descrambling sequence corresponding to the target soft information sequence.
Example two
Fig. 2 is a flowchart of a signal detection method according to a second embodiment of the present invention, where the second embodiment is optimized based on the above embodiments. In this embodiment, the minimum detection value includes a first minimum detection value and a second minimum detection value, and the minimum detection value between the descrambling output sequence and a preset receiving sequence is further specified as: calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the first minimum detection value is the minimum value in Euclidean distance between a value corresponding to a first preset bit in the descrambling output sequence and a value corresponding to the first preset bit in the preset receiving sequence, and the first preset bit comprises information bits, a first preset placeholder and/or check bits; and calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the second minimum detection value is the minimum value in Euclidean distance between a value corresponding to a second preset bit in the descrambling output sequence and a value corresponding to the second preset bit in the preset receiving sequence, and the second preset bit comprises a second preset placeholder.
For details not yet described in detail in this embodiment, refer to embodiment one.
As shown in fig. 2, the method includes:
s210, acquiring a target soft information sequence at a preset position in the demodulated shared channel data.
S220, descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence.
S230, calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the first minimum detection value is the minimum value in Euclidean distance between a value corresponding to a first preset bit in the descrambling output sequence and a value corresponding to the first preset bit in the preset receiving sequence, and the first preset bit comprises an information bit, a first preset placeholder and/or a check bit.
The first minimum detection value may be considered as a minimum value in euclidean distance between a value corresponding to a first preset bit in the descrambling output sequence and a value corresponding to a first preset bit in the preset receiving sequence, where the first preset bit may include at least one of an information bit, a first preset placeholder and/or a check bit, and the first preset placeholder may be, for example, a placeholder "y".
In this step, the means for calculating the first minimum detection value between the descrambled output sequence and the preset receiving sequence is not limited, for example, different calculation means may be determined according to different information amounts corresponding to the information bits, the first minimum detection value may also be calculated according to the quadrant positions corresponding to the information bits, and the specific calculation may be determined according to the actual situation, so long as the first minimum detection value can be calculated.
S240, calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the second minimum detection value is the minimum value in Euclidean distance between a value corresponding to a second preset bit in the descrambling output sequence and a value corresponding to the second preset bit in the preset receiving sequence, and the second preset bit comprises a second preset placeholder.
The second preset bit may include a second preset placeholder that is different from the first preset placeholder, e.g., the second preset placeholder may be a placeholder "x".
It can be said that the information bits and placeholders "y" reflect the quadrant positions of the sequence modulation symbols on the constellation diagram, and that the placeholders "x" reflect the constellation point positions of the sequence modulation symbols in the quadrants.
In this step, a second minimum detection value between the descrambling output sequence and the preset receiving sequence may be calculated, that is, the euclidean distance between the value corresponding to the second preset bit in the descrambling output sequence and the value corresponding to the second preset bit in the preset receiving sequence may be calculated, and the minimum value in all euclidean distances is taken as the second minimum detection value, which is not described in detail, so long as the second minimum detection value can be calculated.
S250, comparing a minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result, wherein the minimum detection value comprises a first minimum detection value and a second minimum detection value.
After the first minimum detection value and the second minimum detection value are obtained through calculation, the obtained first minimum detection value and second minimum detection value can be compared with a preset threshold value to obtain a comparison result, so that whether the ACK/NACK signal exists in the shared channel data is determined according to the obtained comparison result, and the first minimum detection value and the second minimum detection value can be respectively compared with the same preset threshold value to obtain comparison results corresponding to the first minimum detection value and the second minimum detection value; or the first minimum detection value and the second minimum detection value can be respectively compared with different preset threshold values to obtain a comparison result and the like corresponding to the first minimum detection value and the second minimum detection value.
In one embodiment, the preset threshold includes a first preset threshold and a second preset threshold, and the comparing the minimum detection value with the preset threshold and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result includes:
comparing the first minimum detection value with the first preset threshold value, comparing the second minimum detection value with the second preset threshold value, and determining that an ACK/NACK signal exists in the shared channel data when the comparison result is that the first minimum detection value is lower than the first preset threshold value and the second minimum detection value is lower than the second preset threshold value, or determining that the ACK/NACK signal does not exist in the shared channel data.
The first preset threshold value and the second preset threshold value can be considered as preset threshold values, the sizes of the first preset threshold value and the second preset threshold value can be the same or different, and specific numerical values can be determined by empirical values.
Specifically, the first minimum detection value and the first preset threshold value may be compared respectively, the second minimum detection value and the second preset threshold value may be compared to obtain a comparison result between the first minimum detection value and the second preset threshold value, and whether the ACK/NACK signal exists in the shared channel data or not may be determined according to the comparison result, and when the comparison result is that the first minimum detection value is lower than the first preset threshold value and the second minimum detection value is lower than the second preset threshold value, the calculated first minimum detection value and second minimum detection value are both smaller than the critical value of the detection value, and the ACK/NACK signal may be determined to exist in the shared channel data; when the first minimum detection value is not lower than the first preset threshold value and/or the second minimum detection value is not lower than the second preset threshold value, that is, as long as the minimum detection value is greater than or equal to the preset threshold value, no ACK/NACK signal can be considered to exist in the shared channel data.
The second embodiment of the present invention provides a signal detection method, which obtains a target soft information sequence at a preset position in demodulated shared channel data; descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence; calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the first minimum detection value is the minimum value in Euclidean distance between a value corresponding to a first preset bit in the descrambling output sequence and a value corresponding to the first preset bit in the preset receiving sequence, and the first preset bit comprises information bits, a first preset placeholder and/or check bits; calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the second minimum detection value is the minimum value in Euclidean distance between a value corresponding to a second preset bit in the descrambling output sequence and a value corresponding to the second preset bit in the preset receiving sequence, and the second preset bit comprises a second preset placeholder; and comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result, wherein the minimum detection value comprises a first minimum detection value and a second minimum detection value. By using the method, the detection performance of DTX is further enhanced and the reliability of signal detection is improved by processing the placeholder.
In one embodiment, the calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence includes:
and calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence according to the information quantity corresponding to the information bits in the descrambling output sequence.
In one embodiment, the process of calculating the first minimum detection value may calculate the first minimum detection value between the descrambling output sequence and the preset receiving sequence according to, for example, the difference of the information amounts corresponding to the information bits in the descrambling output sequence, that is, the different information amounts may correspond to different calculation processes.
In one embodiment, the calculating the second minimum detection value between the descrambling output sequence and a preset receiving sequence includes:
and when the modulation order of the shared channel data is larger than 2, calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence.
The modulation order may be used to represent the number of bits that each symbol can represent.
In one embodiment, according to the channel coding mode, when the modulation order of the shared channel data is greater than 2, the second minimum detection value between the descrambling output sequence and the preset receiving sequence may be calculated, and when the modulation order of the shared channel data is 1, the second minimum detection value between the descrambling output sequence and the preset receiving sequence does not need to be calculated.
Specifically, when channel coding is performed on ACK/NACK information bits with an information amount of 1 bit or 2 bits, the coding modes are shown in tables 1 and 2, respectively.
| Q m | Coded bit sequence |
| 1 | [c 0 ] |
| 2 | [c 0 y] |
| 4 | [c 0 y xx] |
| 6 | [c 0 y xxxx] |
| 8 | [c 0 y x x x x x x] |
Table 1 coding scheme with 1 bit information
| Q m | Coded bit sequence |
| 1 | [c 0 c 1 c 2 ] |
| 2 | [c 0 c 1 c 2 c 0 c 1 c 2 ] |
| 4 | [c 0 c 1 x x c 2 c 0 x x c 1 c 2 x x] |
| 6 | [c 0 c 1 x x x x c 2 c 0 x x x x c 1 c 2 x x x x] |
| 8 | [c 0 c 1 x x x x x x c 2 c 0 x x x x x x c 1 c 2 x x x x x x] |
Table 2 coding scheme with information content of 2 bits
Wherein Q is m The modulation order may be represented; c 0 、c 1 Information bit, c, which may represent an ACK/NACK 2 Can represent check bits, satisfy c 2 ＝(c 0 +c 1 ) mod2; "y" and "x" may denote placeholders, which function to maximize the euclidean distance between modulation symbols carrying information bits by performing special processing on the placeholders during scrambling.
Fig. 3 is a flowchart of another signal detection method according to the second embodiment of the present invention, as shown in fig. 3, first, a soft information sequence output after demodulation on a resource corresponding to ACK/NACK may be obtained (i.e., a target soft information sequence at a preset position in demodulated shared channel data is obtained). If so, according to the multiplexing processing of the originating channel, the PUSCH demodulation data is demultiplexed, and the soft information sequence on the resources corresponding to the ACK/NACK is taken out from the soft information sequence output by demodulation. The channel multiplexing may be mapping the rate-matched ACK/NACK bit sequence on the corresponding resources allocated to ACK/NACK by PUSCH.
The placeholder positions and scrambling bit sequences may then be used to calculate a descrambling sequence (i.e., to calculate a descrambling sequence corresponding to the target soft information sequence).
Illustratively, the scrambling bit values corresponding to the placeholder "y" and the placeholder "x" may be processed according to a scrambling bit sequence, to generate a new scrambling bit sequence (i.e., a new scrambling sequence is generated based on the location of the placeholder and the scrambling sequence in the target soft information sequence), and then a descrambling sequence is calculated (i.e., a descrambling sequence corresponding to the target soft information sequence is calculated according to the new scrambling sequence). Assuming that the scrambling bit sequence used for the originating scrambling isWhen i is the corresponding position of "y" when the placeholder is used, let +.>When i is the position corresponding to the placeholder "x", let->Using the generated new scrambling bit sequence +.>Calculating descrambling sequence->The calculation formula is as follows:
and secondly, descrambling the ACK/NACK soft information sequence output after demodulation (namely, descrambling the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence).
Assume that the demodulated output ACK/NACK soft information sequence is expressed asUsing descrambling sequencesFor->Multiplying to obtain a descrambled output sequence +. >The calculation formula is as follows: />
Again, a first detection value may be calculated (i.e. a first minimum detection value between the descrambled output sequence and a preset received sequence is calculated). The first detection value may be the minimum value of euclidean distances between the actual receiving sequence and the information bits in all possible ideal receiving sequences and soft information corresponding to the placeholders "y" or check bits (i.e. the first minimum detection value is the minimum value of euclidean distances between the value corresponding to the first preset bit in the descrambling output sequence and the value corresponding to the first preset bit in the preset receiving sequence, where the first preset bit includes an information bit, a first preset placeholder and/or a check bit). The actual receiving sequence is the ACK/NACK soft information sequence output after descrambling; the ideal receiving sequence is the soft information sequence after demodulation of the ideal constellation point. Specifically, a first minimum detection value between the descrambling output sequence and a preset receiving sequence may be calculated according to an information amount corresponding to the information bits in the descrambling output sequence.
1) When the ACK/NACK information bit is 1 bit, for any modulation order Q m Scrambling for only the placeholder "y" and the placeholder "x" is performed for each Q for the encoded bit sequence output after encoding based on the encoding scheme and the description of the scrambling for the placeholder "y" and the placeholder "x" by the sender in Table 1 m The coded bits can be mapped to the outermost constellation points of the quadrant where the coded bits are modulated. The information bits and the scrambled placeholders "y" reflect the quadrant positions of the modulation symbols on the constellation, and the scrambled placeholders "x" reflect the constellation point positions of the modulation symbols in the quadrants.
For example, for Q m And the bit index is equal to 1, and after the coded bits are modulated according to a pi/2 BPSK modulation mode, the coded bits can be mapped to constellation points of a first quadrant or a third quadrant or constellation points of a second quadrant or a fourth quadrant according to the current bit index. And for Q m And more than 1, the coded bits are modulated and then mapped to the outermost constellation points of the first quadrant or the third quadrant in the constellation diagram.
It can be seen that for any modulation order Q m Each group of continuous Q m After the coded bits are modulated, the positive and negative same numbers of the first two soft information in the demodulated soft information sequence corresponding to the ideal constellation points mapped by the coded bits and the last Q m The polarity of the 2 soft information is negative, so that the demodulated soft information sequences corresponding to the ideal constellation points are only two possibilities, namelyAnd->Respectively correspond to ACK and NACK, where d k Is the value of (1) and the modulation order Q m Related to demodulation scheme, k=1, …, Q m . For example, when Q m When equal to 4- >
The Euclidean distance between the information bits in the actual receiving sequence and all possible ideal receiving sequences and soft information corresponding to the placeholder 'y' is calculated, and the calculation formula is as follows:
selecting a minimum Euclidean distance from all the calculated possible Euclidean distances, and taking the minimum Euclidean distance as the first detection value D 1 The calculation formula is as follows: d (D) 1 ＝min{D ACK ,D NACK }。
2) When the ACK/NACK information bit is 2 bits, for any modulation order Q m The encoding method and the description of the scrambling processing of the placeholder "x" at the beginning in the table 2 can be used for scrambling processing of the placeholder "x" only for the encoded bit sequence output after encoding, every Q m The coded bits can be mapped to the outermost constellation points of the quadrant where the coded bits are modulated. First set of consecutive Q in Table 2 m The code bits correspond to information bits c 0 、c 1 Its corresponding modulation symbol can be mapped to any quadrant in the constellation diagram, second and third sets of consecutive Q m The code bits respectively correspond to check bit c 2 Information bit c 0 And information bit c 1 Check bit c 2 The mapped quadrant positions of its modulation symbols are limited to the mapped quadrant positions of the first group, so there are a total of 4 possible mapped quadrant combinations, as shown in table 3.
| Mapping quadrant combination scheme | First group of | Second group of | Third group of |
| Combination scheme 1 | Third quadrant | Fourth quadrant | Second quadrant |
| Combination scheme 2 | Second quadrant | Third quadrant | Fourth quadrant |
| Combination scheme 3 | Fourth quadrant | Second quadrant | Third quadrant |
| Combination scheme 4 | First quadrant | First quadrant | First quadrant |
Table 3 mapping quadrants of different groups of coded bits when the information amount is 2 bits
The information bits and the check bits may reflect the quadrant positions of the modulation symbols on the constellation, and the scrambled placeholders "x" may reflect the constellation point positions of the modulation symbols in the quadrants.
It can be seen that for any modulation order Q m Each group of continuous Q m After the coded bits are modulated, four possibilities are respectively provided for the demodulated soft information sequence corresponding to the ideal constellation points mapped by the coded bits And the outermost constellation points respectively correspond to the third quadrant, the second quadrant, the fourth quadrant and the first quadrant. For the first group of consecutive Q m The four possible demodulated soft information sequences correspond to 2-bit ACK and 1-to-1 respectivelyBit ACK and 1 bit NACK, 1 bit NACK and 1 bit ACK, 2 bit NACK. Wherein d is k Is the value of (1) and the modulation order Q m Related to demodulation scheme, k=1, …, Q m . For example, when Q m When equal to 4->
And calculating Euclidean distance between the actual receiving sequence and soft information corresponding to the information bits and check bits in the ideal receiving sequence under all possible quadrant combination schemes.
According to Table 3, for quadrant combining scheme 1, the first group of information bits c in the actual and ideal received sequences 0 、c 1 The calculation formula of the Euclidean distance between the corresponding soft information is as follows:
second group of check bits c in actual received sequence and ideal received sequence 2 Information bit c 0 The calculation formula of the Euclidean distance between the corresponding soft information is as follows:
third group of information bits c in actual received sequence and ideal received sequence 1 Check bit c 2 The calculation formula of the Euclidean distance between the corresponding soft information is as follows:
wherein L is 1 、L 2 And L 3 Respectively representing the modulation symbol lengths of the received sequences corresponding to different groups according to the rate matching lengthIs different from L 1 、L 2 And L 3 The values of (2) may be different, but only 1.
Wherein, the number Q 'of the modulation symbols can be used' ACK Modulation order Q m PUSCH layer number N L Determining an ACK/NACK rate matching length G ACK Then use the obtained rate matching length G ACK Rate matching the encoded ACK/NACK bit sequence, wherein G ACK The calculation formula of (2) is as follows: g ACK ＝Q′ ACK ·Q m ·N L 。
Adding the three calculated Euclidean distance results of the quadrant combination scheme 1 to obtain the Euclidean distance D of the quadrant combination scheme 1 1 The calculation formula is as follows:selecting a minimum Euclidean distance from the Euclidean distances of all quadrant combination schemes, and taking the minimum Euclidean distance as the first detection value D 1 The calculation formula is as follows: d (D) 1 ＝min{D 1 ,D 2 ,D 3 ,D 4 }。
Then, a second detection value can be calculated as the modulation order Q m When the second detection value is greater than 2, the second detection value may be the euclidean distance between the actual receiving sequence and the soft information corresponding to the placeholder "x" in any ideal receiving sequence (i.e. when the modulation order of the shared channel data is greater than 2, a second minimum detection value between the descrambling output sequence and the preset receiving sequence is calculated, where the second minimum detection value is the minimum value in the euclidean distance between the value corresponding to the second preset bit in the descrambling output sequence and the value corresponding to the second preset bit in the preset receiving sequence, and the second preset bit includes the second preset placeholder). The actual receiving sequence is an ACK/NACK soft information sequence output after descrambling; the ideal receiving sequence is a soft information sequence after demodulation of ideal constellation points.
The calculation formula for calculating the second detection value may be:
Specifically, after the descrambling processing is performed on the ACK/NACK soft information sequence output after demodulation to obtain a descrambled output sequence, the calculation process of the second detection value and the calculation process of the first detection value may be performed simultaneously, so as to implement parallel processing. By adopting the parallel processing mode, the DTX detection processing time delay is greatly reduced.
Finally, the obtained DTX detection value may be compared with a preset threshold, and whether ACK/NACK exists or not may be determined according to the comparison result, the DTX detection value may include a first detection value and a second detection value, and the preset threshold may include the first detection threshold and the second detection threshold, which are predetermined according to a simulation experiment.
Specifically, the calculated first detection value and second detection value may be compared with a first detection threshold value and a second detection threshold value, respectively, if the first detection value is lower than the first detection threshold value and the second detection value is lower than the second detection threshold value, it indicates that there is ACK/NACK information multiplexing on PUSCH, otherwise, it indicates that there is no ACK/NACK information multiplexing (i.e., the first minimum detection value is compared with the first preset threshold value, the second minimum detection value is compared with the second preset threshold value, and when the comparison result is that the first minimum detection value is lower than the first preset threshold value and the second minimum detection value is lower than the second preset threshold value, it determines that there is ACK/NACK signal in the shared channel data, otherwise, it determines that there is no ACK/NACK signal in the shared channel data).
When there is ACK/NACK information multiplexing on PUSCH, the first detection value and the second detection value will approach a smaller number. When ACK/NACK information multiplexing does not exist on the PUSCH, the corresponding resources are occupied by service data, each modulation symbol can be mapped to any constellation point in all quadrants in the constellation diagram due to the fact that the service data presents stronger randomness, soft information with positive and negative randomness is obtained after demodulation, and the calculated first detection value and second detection value are possibly far larger than those when the ACK/NACK information multiplexing exists on the PUSCH. This leaves a large space for setting the threshold to combat the effects of interference, noise, and fading, etc., so that it is possible to effectively detect whether an ACK/NACK exists by setting a reasonable threshold.
As can be seen from the above description, the signal detection method provided in this embodiment calculates euclidean distances between the actual receiving sequence and all possible ideal receiving sequences by descrambling the placeholder positions, and compares the euclidean distances with a preset threshold value, so as to effectively detect whether there is ACK/NACK information multiplexing on the PUSCH. Meanwhile, the processing of the placeholder is increased, so that the reliability of DTX detection is improved, the possibility of missing detection and false detection is reduced, the precision of DTX detection is improved, and the anti-interference performance is improved. On the basis of meeting the DTX detection performance, the calculation complexity and the processing time delay are reduced.
Example III
Fig. 4 is a schematic structural diagram of a signal detection device according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes:
an obtaining module 310, configured to obtain a target soft information sequence at a preset position in the demodulated shared channel data;
a descrambling processing module 320, configured to perform descrambling processing on the target soft information sequence based on a descrambling sequence, to obtain a descrambled output sequence, where the descrambling sequence is obtained by using a placeholder in the target soft information sequence;
the calculating module 330 is configured to calculate a minimum detection value between the descrambling output sequence and a preset receiving sequence, where the minimum detection value is a minimum value in euclidean distances between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to a preset bit in the preset receiving sequence;
and a comparing module 340, configured to determine to compare the minimum detection value with a preset threshold value, and determine whether an ACK/NACK signal exists in the shared channel data according to a comparison result.
In the signal detection device provided by the third embodiment of the invention, the acquisition module acquires the target soft information sequence at the preset position in the demodulated shared channel data; descrambling the target soft information sequence based on a descrambling sequence through a descrambling processing module to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence; calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence through a calculation module, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence; and comparing the minimum detection value with a preset threshold value through a comparison module, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result. By using the device, the minimum value in Euclidean distance between the value corresponding to the preset bit in the descrambling output sequence and the value corresponding to the preset bit in the preset receiving sequence is calculated, and the minimum detection value is compared with the preset threshold value, so that the reliability of signal detection is improved, and the calculation complexity is reduced.
Optionally, the minimum detection value includes a first minimum detection value and a second minimum detection value, and the calculation module includes:
the first calculating unit is used for calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the first minimum detection value is the minimum value in Euclidean distance between a value corresponding to a first preset bit in the descrambling output sequence and a value corresponding to the first preset bit in the preset receiving sequence, and the first preset bit comprises an information bit, a first preset placeholder and/or a check bit;
the second calculating unit is configured to calculate a second minimum detection value between the descrambling output sequence and a preset receiving sequence, where the second minimum detection value is a minimum value in euclidean distance between a value corresponding to a second preset bit in the descrambling output sequence and a value corresponding to a second preset bit in the preset receiving sequence, and the second preset bit includes a second preset placeholder.
Optionally, the first computing unit is specifically configured to:
and calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence according to the information quantity corresponding to the information bits in the descrambling output sequence.
Optionally, the second computing unit is specifically configured to:
and when the modulation order of the shared channel data is larger than 2, calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence.
Optionally, the preset threshold value includes a first preset threshold value and a second preset threshold value, and the comparison module is specifically configured to:
comparing the first minimum detection value with the first preset threshold value, comparing the second minimum detection value with the second preset threshold value, and determining that an ACK/NACK signal exists in the shared channel data when the comparison result is that the first minimum detection value is lower than the first preset threshold value and the second minimum detection value is lower than the second preset threshold value, or determining that the ACK/NACK signal does not exist in the shared channel data.
Optionally, the signal detection device provided in the third embodiment of the present invention further includes:
and the sequence calculation module is used for calculating a descrambling sequence corresponding to the target soft information sequence before the target soft information sequence is subjected to descrambling processing based on the descrambling sequence to obtain a descrambling output sequence.
Optionally, the sequence calculating module is specifically configured to:
Generating a new scrambling sequence based on the position of the placeholder in the target soft information sequence and the scrambling sequence;
and calculating a descrambling sequence corresponding to the target soft information sequence according to the new scrambling sequence.
The signal detection device provided by the embodiment of the invention can execute the signal detection method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as signal detection methods.
In some embodiments, the signal detection method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the signal detection method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the signal detection method in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A signal detection method, comprising:
acquiring a target soft information sequence at a preset position in the demodulated shared channel data;
descrambling is carried out on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence;
calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence;
And comparing the minimum detection value with a preset threshold value, and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result.
2. The method of claim 1, wherein the minimum detection value comprises a first minimum detection value and a second minimum detection value, and wherein the calculating the minimum detection value between the descrambled output sequence and a pre-set received sequence comprises:
calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the first minimum detection value is the minimum value in Euclidean distance between a value corresponding to a first preset bit in the descrambling output sequence and a value corresponding to the first preset bit in the preset receiving sequence, and the first preset bit comprises information bits, a first preset placeholder and/or check bits;
and calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the second minimum detection value is the minimum value in Euclidean distance between a value corresponding to a second preset bit in the descrambling output sequence and a value corresponding to the second preset bit in the preset receiving sequence, and the second preset bit comprises a second preset placeholder.
3. The method of claim 2, wherein said calculating a first minimum detection value between the descrambled output sequence and a pre-set received sequence comprises:
and calculating a first minimum detection value between the descrambling output sequence and a preset receiving sequence according to the information quantity corresponding to the information bits in the descrambling output sequence.
4. The method of claim 2, wherein said calculating a second minimum detection value between the descrambled output sequence and a predetermined received sequence comprises:
and when the modulation order of the shared channel data is larger than 2, calculating a second minimum detection value between the descrambling output sequence and a preset receiving sequence.
5. The method of claim 2, wherein the preset threshold value comprises a first preset threshold value and a second preset threshold value, wherein the comparing the minimum detection value with the preset threshold value and determining whether the ACK/NACK signal exists in the shared channel data according to the comparison result comprises:
comparing the first minimum detection value with the first preset threshold value, comparing the second minimum detection value with the second preset threshold value, and determining that an ACK/NACK signal exists in the shared channel data when the comparison result is that the first minimum detection value is lower than the first preset threshold value and the second minimum detection value is lower than the second preset threshold value, or determining that the ACK/NACK signal does not exist in the shared channel data.
6. The method of claim 1, further comprising, prior to said descrambling the target soft information sequence based on the descrambling sequence to obtain a descrambled output sequence:
and calculating a descrambling sequence corresponding to the target soft information sequence.
7. The method of claim 6, wherein the calculating a descrambling sequence corresponding to the target soft information sequence comprises:
generating a new scrambling sequence based on the position of the placeholder in the target soft information sequence and the scrambling sequence;
and calculating a descrambling sequence corresponding to the target soft information sequence according to the new scrambling sequence.
8. A signal detection apparatus, comprising:
the acquisition module is used for acquiring a target soft information sequence at a preset position in the demodulated shared channel data;
the descrambling processing module is used for carrying out descrambling processing on the target soft information sequence based on a descrambling sequence to obtain a descrambling output sequence, wherein the descrambling sequence is obtained through a placeholder in the target soft information sequence;
the calculation module is used for calculating a minimum detection value between the descrambling output sequence and a preset receiving sequence, wherein the minimum detection value is the minimum value in Euclidean distance between a value corresponding to a preset bit in the descrambling output sequence and a value corresponding to the preset bit in the preset receiving sequence;
And the comparison module is used for determining to compare the minimum detection value with a preset threshold value and determining whether an ACK/NACK signal exists in the shared channel data according to a comparison result.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the signal detection method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the signal detection method of any one of claims 1-7.
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