CN116055006A - Physical downlink control channel blind detection method and system of 5G NR system - Google Patents
Physical downlink control channel blind detection method and system of 5G NR system Download PDFInfo
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Abstract
The invention relates to the technical field of 5GNR channel detection, in particular to a physical downlink control channel blind detection method and a physical downlink control channel blind detection system of a 5G NR system, comprising the following steps: acquiring a plurality of candidate sets to be detected in a search space; selecting a candidate set, extracting demodulation reference signals from the candidate set in the channel estimation process aiming at the candidate set, carrying out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judging whether the candidate set contains a physical downlink control channel or not; if yes, carrying out subsequent treatment; if not, a new candidate set is acquired. The beneficial effects are that: in the channel estimation process, correlation calculation is carried out based on the demodulation reference signal and a local reference sequence, so that whether a physical downlink control channel exists in a candidate set represented by the demodulation reference signal is judged, and the candidate set which cannot exist the physical downlink control channel is removed, so that the number of candidate sets which need to be subjected to blind detection in a subsequent blind detection step is reduced, and the blind detection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of 5GNR channel detection, in particular to a physical downlink control channel blind detection method and system of a 5G NR system.
Background
5G NR (New Radio) is a global 5G standard based on a completely New air interface design of OFDM (Orthogonal Frequency Division Multiplexing, orthogonal frequency division multiplexing technology). In the 5G NR system, frequency domain scheduling range information of PDCCH (Physical Downlink Control Channel ) and time domain OFDM symbol number information are encapsulated in CORESET (control resource set), and information such as time domain start symbol information and detection period is encapsulated in search space. The user equipment can only know that the PDCCH will be transmitted within RB (Resource Block) of the coreset at this time, but cannot determine which RBs to transmit on. Therefore, after the PDCCH channel determines information such as physical resource information and search space type (CSS or USS), the ue searches the PDCCH on the CORESET according to different RNTI types in different search spaces. Since the user equipment does not know explicitly the time-frequency location of the PDCCH transmission, demodulation can only continue through the candidate set of PDCCHs, and thus this process is called blind detection of PDCCHs.
In the prior art, the number of PDCCH candidates that the ue needs to perform blind detection is 44 at most, and each candidate set may carry PDCCH scheduling information, but the ue does not know which candidate sets the network will carry these scheduling information on. Therefore, it is necessary to perform a complete decoding process, i.e. independent signal extraction (RE mapping), channel Estimation (CE), noise Estimation (NE), signal matrix decoding (MIMO), polar decoding (polar decoder), for each candidate set, before knowing whether the candidate set has a truly valid PDCCH payload.
In the implementation process, the inventor finds that each step in the process is relatively complex in calculation, long in time consumption and high in power consumption on user equipment, so that the effective time of subsequent system processing is shortened, and data loss can be caused in some cases.
Disclosure of Invention
Aiming at the problems in the prior art, a physical downlink control channel blind detection method of a 5G NR system is provided, and on the other hand, a physical downlink control channel blind detection system for implementing the physical downlink control channel blind detection method is also provided.
The specific technical scheme is as follows:
a physical downlink control channel blind detection method of a 5G NR system comprises the following steps:
step S1: acquiring a plurality of candidate sets to be detected in a search space;
step S2: selecting one candidate set;
step S3: extracting demodulation reference signals from the candidate set in the channel estimation process aiming at the candidate set, carrying out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judging whether the candidate set contains a physical downlink control channel according to the correlation result;
if yes, turning to step S4;
if not, returning to the step S2 to acquire the new candidate set;
step S4: sequentially performing noise estimation, signal matrix decomposition and polarization code decoding according to the screened candidate set to obtain a decoding result corresponding to the candidate set, and judging whether the candidate set contains the physical downlink control channel according to the decoding result;
if yes, outputting the candidate set;
if not, returning to the step S2 to acquire the new candidate set.
On the other hand, after the step S2 is performed, a signal energy screening process is further included before the step S3 is performed, where the signal energy screening process is used to determine whether the candidate set includes the physical downlink control channel, and the step S3 is performed only on the candidate set including the physical downlink control channel;
the signal energy screening process comprises the following steps:
step A1: calculating signal energy in a frequency domain location for the candidate set;
step A2: comparing the signal energy with a preset signal energy threshold value, and judging whether the signal energy is larger than the signal energy threshold value or not;
if yes, turning to the step S3;
if not, returning to the step S2 to acquire the new candidate set.
On the other hand, the step S3 includes:
step S31: performing channel estimation on the candidate set to obtain an estimation result;
step S32: filtering the estimation result to obtain the demodulation reference signal;
step S33: performing autocorrelation analysis on the demodulation reference signal and the reference sequence to obtain a correlation result;
step S34: comparing the correlation result with a preset correlation threshold value to judge whether the correlation result is larger than the correlation threshold value
If yes, turning to step S4;
if not, returning to the step S2 to acquire the new candidate set.
On the other hand, after the signal matrix is decoded, before the polar code decoding is performed, a soft bit judging process is further included, wherein the soft bit judging process is used for judging whether the candidate set after the signal matrix is decoded contains the physical downlink control channel or not, and polar code decoding is only performed on the candidate set containing the physical downlink control channel;
the soft bit discrimination process comprises the following steps:
step B1: extracting soft bit information from the candidate set;
step B2: acquiring modulation signal information of the candidate set according to the soft bit information;
step B3: comparing the modulated signal information with a pre-constructed modulated signal threshold, and judging whether the modulated signal information is larger than the modulated signal threshold;
if yes, decoding the candidate set;
if not, returning to the step S2 to acquire the new candidate set.
In another aspect, in the step B2, the method for generating the modulated signal information includes:
and determining a plurality of values to be mapped to constellation points from the soft bit information, and accumulating all the values to be mapped to obtain the modulation signal information.
A physical downlink control channel blind detection system of a 5G NR system is used for implementing the physical downlink control channel blind detection method;
the physical downlink control channel blind detection system comprises:
the validity verification module acquires a plurality of candidate sets to be detected in the search space;
the candidate set extraction module is connected with the validity verification module and is used for selecting one candidate set from a plurality of candidate sets to be detected;
the channel estimation module is connected with the candidate set extraction module and is used for carrying out channel estimation on the candidate set;
the correlation calculation module is connected with the channel estimation module, extracts demodulation reference signals from the candidate set, carries out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judges whether the candidate set is allowed to pass or not according to the correlation result;
the noise estimation module is connected with the correlation calculation module and carries out noise estimation on the candidate set output by the correlation calculation module;
the signal matrix solving module is connected with the noise estimation module and used for carrying out signal matrix solving on the candidate set according to the output result of the noise estimation output module;
and the polarization code decoding module is connected with the signal matrix decoding module and decodes the candidate set after the signal matrix is decoded, so as to obtain the physical downlink control channel according to the decoding result.
In another aspect, the method further comprises:
the input end of the signal energy screening module is connected with the candidate set extraction module, the output end of the signal energy screening module is connected with the channel estimation module, and the signal energy screening module is used for judging whether to output the candidate set to the channel estimation module;
the signal energy screening module comprises:
a signal energy calculation module that calculates signal energy in a frequency domain location for the candidate set;
and the signal energy judgment module compares the signal energy with a preset signal energy threshold value to judge whether to output the candidate set to the channel estimation module.
In another aspect, the correlation calculation module includes:
the filtering module is used for receiving the estimation result output by the channel estimation module and filtering the estimation result to obtain the demodulation reference signal;
the correlation calculation module generates a correlation result according to the demodulation reference signal and the reference sequence;
and the correlation judgment module is connected with the correlation calculation module and judges whether the candidate set is allowed to pass or not according to the correlation result.
On the other hand, the device also comprises a soft bit judging module, wherein the input end of the soft bit judging module is connected with the signal matrix decoding module, the output end of the soft bit judging module is connected with the polarization code decoding module, and the soft bit judging module is used for judging whether the candidate set is input into the polarization code decoding module;
the soft bit discriminating module includes:
the soft bit extraction module extracts soft bit information from the candidate set after the signal matrix is decoded;
the modulation information generation module is connected with the soft bit extraction module and generates modulation signal information according to the soft bit information;
the comparison module is connected with the modulation information generation module and judges whether the candidate set is input into the polar code decoding module according to the modulation information and a preset modulation signal threshold.
On the other hand, the modulation information generating module adds up a plurality of values to be mapped to constellation points in the soft bit information to obtain the modulation signal information.
The technical scheme has the following advantages or beneficial effects: in the channel estimation process, correlation calculation is carried out based on the demodulation reference signal and a local reference sequence, so that whether a physical downlink control channel exists in a candidate set represented by the demodulation reference signal is judged, and the candidate set which cannot exist the physical downlink control channel is removed, so that the number of candidate sets which need to be subjected to blind detection in a subsequent blind detection step is reduced, and the blind detection efficiency is improved.
Drawings
Embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The drawings, however, are for illustration and description only and are not intended as a definition of the limits of the invention.
Fig. 1 is a flow chart of a blind detection method of a physical downlink control channel according to an embodiment of the present invention;
FIG. 2 is a flow chart of a signal energy screening process according to an embodiment of the present invention;
FIG. 3 is a flow chart showing the substep of step S3 in an embodiment of the present invention;
FIG. 4 is a flow chart of a soft bit discrimination process according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of a blind detection system of a physical downlink control channel in an embodiment of the present invention;
FIG. 6 is a schematic block diagram of a signal energy screening module according to an embodiment of the present invention;
FIG. 7 is a schematic block diagram of a correlation calculation module according to an embodiment of the present invention;
fig. 8 is a schematic block diagram of a soft bit discrimination module according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The technical scheme described in the invention is realized on the basis of the 3GPP TS 38.211,TS 38.212,TS 38.213 standard, and the detailed description is not fully made with reference to the 3GPP TS 38.211,TS 38.212,TS 38.213 standard.
The invention is further described below with reference to the drawings and specific examples, which are not intended to be limiting.
The invention comprises the following steps:
a physical downlink control channel blind detection method of a 5G NR system comprises the following steps:
step S1: acquiring a plurality of candidate sets to be detected in a search space;
step S2: selecting a candidate set;
step S3: extracting demodulation reference signals from the candidate set in the channel estimation process aiming at the candidate set, carrying out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judging whether the candidate set contains a physical downlink control channel according to the correlation result;
if yes, turning to step S4;
if not, returning to the step S2 to acquire a new candidate set;
step S4: sequentially carrying out noise estimation, signal matrix decoding and polarization code decoding according to the screened candidate set to obtain a decoding result corresponding to the candidate set, and judging whether the candidate set contains a physical downlink control channel according to the decoding result;
if yes, outputting a candidate set;
if not, returning to the step S2 to acquire a new candidate set.
Specifically, in the prior art, after a process of signal extraction, channel estimation, noise estimation, MIMO decoding and polarization code decoding is performed on a plurality of candidate sets in a one-by-one and cyclically performed manner, whether the current candidate set includes relevant information of a physical downlink control channel or not can be judged according to a decoding result, and the processing time is long and the efficiency is low. In a general blind detection process, when the step shows that the current candidate set does not contain a physical downlink control channel, the blind detection process of the next candidate set is directly converted; only when the step shows that the current candidate set possibly contains the physical downlink control channel, the subsequent noise estimation and other contents are carried out, so that the step of eliminating the wrong candidate set in the whole blind detection process is reduced, and the processing efficiency is further improved.
In one embodiment, step S1 includes:
in each slot (slot), dividing all search spaces requiring blind detection to obtain all candidate sets;
for the divided candidate sets, respectively calculating the time-frequency domain CCE position and time sequence ordering of each candidate set;
and respectively calculating the effectiveness of each candidate set according to the candidate set effectiveness formula, and further screening out candidate sets needing blind detection, wherein the number of the candidate sets needing blind detection is not more than 44.
In one embodiment, after step S2 is performed, a signal energy screening process is further included before step S3, where the signal energy screening process is used to determine whether the candidate set includes a physical downlink control channel, and step S3 is performed only on the candidate set including the physical downlink control channel;
as shown in fig. 2, the signal energy screening process includes:
step A1: calculating signal energy in the frequency domain location for the candidate set;
step A2: comparing the signal energy with a preset signal energy threshold value, and judging whether the signal energy is larger than the signal energy threshold value or not;
if yes, turning to step S3;
if not, returning to the step S2 to acquire a new candidate set.
Specifically, in the prior art, after signal extraction, channel estimation, noise estimation, MIMO solution, and polar code decoding are performed on a plurality of candidate sets one by one and circularly, it can be judged whether the current candidate set includes relevant information of a physical downlink control channel according to a decoding result, which is a problem that processing time is long and efficiency is low.
In one embodiment, as shown in fig. 3, step S3 includes:
step S31: channel estimation is carried out on the candidate set to obtain an estimation result;
step S32: filtering the estimation result to obtain a demodulation reference signal;
step S33: carrying out autocorrelation analysis on the demodulation reference signal and the reference sequence to obtain a correlation result;
step S34: comparing the correlation result with a preset correlation threshold value, and judging whether the correlation result is larger than the correlation threshold value or not;
if yes, turning to step S4;
if not, returning to the step S2 to acquire a new candidate set.
Specifically, in order to achieve a better screening effect on the candidate set, in this embodiment, data is obtained after channel estimation for the candidate set, and the correlation between the candidate set and the demodulation reference signal is analyzed by extracting the demodulation reference signal and based on a locally generated reference sequence corresponding to the demodulation reference signal; when the correlation is high, the candidate set is indicated to possibly carry a physical downlink control channel; and when the correlation is lower, the position of the candidate set is possibly noise or irrelevant to a local physical downlink control channel, the candidate set is further abandoned, the subsequent steps of noise estimation and the like are skipped, and the blind detection process of the next candidate set is directly converted.
In an implementation process, the step S3 is performed during channel estimation on the candidate set, that is, the candidate set extracts the demodulation reference signal, the Phase Tracking Reference Signal (PTRS), the Sounding Reference Signal (SRS), and the channel state information reference signal (CSI-RS) during channel estimation. In the process, the demodulation reference signal part of the candidate set after the channel estimation is intercepted and filtered, so that the demodulation reference signal can carry out conjugate multiplication and addition operation according to the local reference sequence, and the operation result is used as a correlation result to judge the correlation threshold value, thereby judging whether the demodulation reference signal is related to the local reference sequence.
In one embodiment, after the signal matrix is decoded, before the polar code decoding is performed, a soft bit discriminating process is further included, and the soft bit discriminating process is used for judging whether the candidate set after the signal matrix is decoded contains the physical downlink control channel or not, and only polar code decoding is performed on the candidate set containing the physical downlink control channel;
as shown in fig. 4, the soft bit discrimination process includes:
step B1: extracting soft bit information from the candidate set;
step B2: acquiring modulation signal information of a candidate set according to the soft bit information;
step B3: comparing the modulated signal information with a pre-constructed modulated signal threshold to judge whether the modulated signal information is larger than the modulated signal threshold;
if yes, decoding the candidate set;
if not, returning to the step S2 to acquire a new candidate set.
Specifically, in the prior art, after signal extraction, channel estimation, noise estimation, MIMO decoding and polarization code decoding are performed on a plurality of candidate sets one by one and circularly, whether the current candidate set includes relevant information of a physical downlink control channel or not can be judged according to decoding results, and the processing time is long and the efficiency is low. When the accumulated value of the values is smaller, the signal noise component contained in the candidate set is more, the interference signal is strong or the signal energy is too low, so that the mappable values obtained by MIMO decoding are smaller, and further, the candidate set is judged to be unavailable for decoding to obtain the corresponding physical downlink control channel, and the next candidate set is directly converted into blind detection, so that the steps of decoding the subsequent polarized codes are reduced.
In one embodiment, in step B2, the method of generating modulated signal information includes:
and determining a plurality of values to be mapped to constellation points from the soft bit information, and accumulating all the values to be mapped to obtain modulation signal information.
A physical downlink control channel blind detection system of a 5G NR system is used for implementing the physical downlink control channel blind detection method;
as shown in fig. 5, the physical downlink control channel blind detection system includes:
the validity verification module 1, the validity verification module 1 obtains a plurality of candidate sets to be detected in the search space;
the candidate set extraction module 2 is connected with the validity verification module 1, and the candidate set extraction module 2 selects one candidate set from a plurality of candidate sets to be detected;
the channel estimation module 3 is connected with the candidate set extraction module 3, and the channel estimation module 3 is used for carrying out channel estimation on the candidate set;
the correlation calculation module 4 is connected with the channel estimation module 3, the correlation calculation module 4 extracts demodulation reference signals from the candidate set, carries out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judges whether the candidate set is allowed to pass or not according to the correlation result;
the noise estimation module 5 is connected with the correlation calculation module 4, and the noise estimation module 5 carries out noise estimation on the candidate set output by the correlation calculation module;
the signal matrix solving module 6 is connected with the noise estimation module 5, and the signal matrix solving module 6 carries out signal matrix solving on the candidate set according to the output result of the noise estimation output module;
the polarization code decoding module 7, the polarization code decoding module 7 is connected with the signal matrix decoding module 6, and the polarization code decoding module 7 decodes the candidate set after the signal matrix is decoded, so as to obtain a physical downlink control channel according to the decoding result.
Specifically, in the prior art, after a process of signal extraction, channel estimation, noise estimation, MIMO decoding and polarization code decoding, which are performed one by one and circularly, is required for a plurality of candidate sets, it can be judged whether the current candidate set includes relevant information of a physical downlink control channel according to a decoding result, which is a problem that the processing time is long and the efficiency is low.
In one embodiment, as shown in fig. 6, further comprising:
the signal energy screening module 21, the input end of the signal energy screening module 21 is connected with the candidate set extraction module 2, the output end of the signal energy screening module 21 is connected with the channel estimation module 3, and the signal energy screening module 21 is used for judging whether to output the candidate set to the channel estimation module;
the signal energy screening module 21 comprises:
a signal energy calculation module 211, the signal energy calculation module 211 calculating signal energy in the frequency domain location for the candidate set;
the signal energy decision module 212, the signal energy decision module 212 compares the signal energy with a preset signal energy threshold to determine whether to output the candidate set to the channel estimation module 3.
Specifically, in the prior art, after signal extraction, channel estimation, noise estimation, MIMO decoding and polarization code decoding are performed on a plurality of candidate sets one by one and circularly, whether the current candidate set includes relevant information of a physical downlink control channel or not can be judged according to decoding results, and the problems of long processing time and low efficiency are solved. Then, by setting the signal energy screening module 21 at the front stage of the channel estimation module 3, the signal energy calculation module 211 in the signal energy screening module 21 calculates the signal energy of the candidate set in the frequency domain, and then the signal energy judgment module 212 judges that if the signal energy of the candidate set is too low, that is, is lower than the signal energy threshold value, the effective signal quantity contained in the position of the candidate set is less or only contains noise, so that the candidate set is directly removed and is not output to the channel estimation module 3 at the rear stage, thereby reducing the step of removing the wrong candidate set in the whole blind detection process and further improving the processing efficiency.
In one embodiment, as shown in fig. 7, the correlation calculation module 4 includes:
the filtering module 41, the filtering module 41 receives the estimation result outputted by the channel estimation module 3, and filters the estimation result to obtain a demodulation reference signal;
a correlation calculation module 42, the correlation calculation module 42 generating a correlation result from the demodulation reference signal and the reference sequence;
the correlation judgment module 43 is connected with the correlation calculation module 43, and the correlation judgment module judges whether the candidate set is allowed to pass through according to the correlation result.
Specifically, in order to achieve a better screening effect on the candidate set, in this embodiment, data is obtained after channel estimation for the candidate set, the demodulation reference signal is extracted and filtered by the filtering module 41 to output a demodulation reference signal that can be used to calculate correlation, then the correlation between the two is analyzed by the correlation calculating module 42 based on the locally generated reference sequence corresponding to the demodulation reference signal, and the correlation judging module 43 is adopted to judge whether to output the candidate set to the noise estimating module 5 at the subsequent stage. When the correlation is high, the candidate set is indicated to possibly carry a physical downlink control channel; and when the correlation is lower, the position of the candidate set is possibly noise or irrelevant to a local physical downlink control channel, the candidate set is further abandoned, the subsequent steps of noise estimation and the like are skipped, and the blind detection process of the next candidate set is directly converted.
In one embodiment, the device further comprises a soft bit discriminating module 61, wherein an input end of the soft bit discriminating module 61 is connected with the signal decoding matrix module 6, an output end of the soft bit discriminating module 61 is connected with the polarization code decoding module 7, and the soft bit discriminating module 61 is used for judging whether the candidate set is input into the polarization code decoding module 7;
the soft bit discrimination module 61 includes:
a soft bit extraction module 611, the soft bit extraction module 611 extracts soft bit information from the candidate set after the signal matrix is decoded;
the modulation information generating module 612, the modulation information generating module 612 is connected to the soft bit extracting module 611, and the modulation information generating module 612 generates modulation signal information according to the soft bit information;
the comparing module 613, the comparing module 613 is connected to the modulation information generating module 612, and the comparing module 613 determines whether to input the candidate set to the polar code decoding module 7 according to the modulation information and a preset modulation signal threshold.
The modulation information generation module 612 accumulates a plurality of values to be mapped to constellation points in the soft bit information to obtain modulation signal information.
Specifically, in the prior art, after the processes of signal extraction, channel estimation, noise estimation, MIMO decoding and polarization code decoding are performed on a plurality of candidate sets one by one and circularly, whether the current candidate set includes relevant information of a physical downlink control channel or not can be judged according to decoding results, which is a problem that the processing time is long and the efficiency is low. When the accumulated value of the values is smaller, the signal noise component contained in the candidate set is more, the interference signal is strong or the signal energy is too low, so that the mappable values obtained by MIMO decoding are smaller, and further, the candidate set is judged to be unavailable for decoding to obtain the corresponding physical downlink control channel, and the next candidate set is directly converted into blind detection, so that the steps of decoding the subsequent polarized codes are reduced.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments and scope of the present invention, and it should be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and illustrations of the present invention, and are intended to be included in the scope of the present invention.
Claims (10)
1. A physical downlink control channel blind detection method of a 5G NR system is characterized by comprising the following steps:
step S1: acquiring a plurality of candidate sets to be detected in a search space;
step S2: selecting one candidate set;
step S3: extracting demodulation reference signals from the candidate set in the channel estimation process aiming at the candidate set, carrying out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judging whether the candidate set contains a physical downlink control channel according to the correlation result;
if yes, turning to step S4;
if not, returning to the step S2 to acquire the new candidate set;
step S4: sequentially performing noise estimation, signal matrix decomposition and polarization code decoding according to the screened candidate set to obtain a decoding result corresponding to the candidate set, and judging whether the candidate set contains the physical downlink control channel according to the decoding result;
if yes, outputting the candidate set;
if not, returning to the step S2 to acquire the new candidate set.
2. The blind detection method according to claim 1, characterized in that after performing the step S2, a signal energy screening process is further included before performing the step S3, the signal energy screening process being used to determine whether the candidate set contains the physical downlink control channel, and the step S3 is performed only on the candidate set containing the physical downlink control channel;
the signal energy screening process comprises the following steps:
step A1: calculating signal energy in a frequency domain location for the candidate set;
step A2: comparing the signal energy with a preset signal energy threshold value, and judging whether the signal energy is larger than the signal energy threshold value or not;
if yes, turning to the step S3;
if not, returning to the step S2 to acquire the new candidate set.
3. The method for blind detection of physical downlink control channels according to claim 1, wherein the step S3 includes:
step S31: performing channel estimation on the candidate set to obtain an estimation result;
step S32: filtering the estimation result to obtain the demodulation reference signal;
step S33: performing autocorrelation analysis on the demodulation reference signal and the reference sequence to obtain a correlation result;
step S34: comparing the correlation result with a preset correlation threshold value to judge whether the correlation result is larger than the correlation threshold value
If yes, turning to step S4;
if not, returning to the step S2 to acquire the new candidate set.
4. The blind detection method according to claim 1, further comprising a soft bit discriminating process after performing the signal matrix decoding and before performing the polar code decoding, wherein the soft bit discriminating process is used for judging whether the candidate set after the signal matrix decoding contains the physical downlink control channel and performing polar code decoding only on the candidate set containing the physical downlink control channel;
the soft bit discrimination process comprises the following steps:
step B1: extracting soft bit information from the candidate set;
step B2: acquiring modulation signal information of the candidate set according to the soft bit information;
step B3: comparing the modulated signal information with a pre-constructed modulated signal threshold, and judging whether the modulated signal information is larger than the modulated signal threshold;
if yes, decoding the candidate set;
if not, returning to the step S2 to acquire the new candidate set.
5. The blind detection method of the physical downlink control channel according to claim 4, wherein in the step B2, the method for generating the modulated signal information includes:
and determining a plurality of values to be mapped to constellation points from the soft bit information, and accumulating all the values to be mapped to obtain the modulation signal information.
6. A physical downlink control channel blind detection system of a 5G NR system, which is configured to implement a physical downlink control channel blind detection method according to any one of claims 1 to 5;
the physical downlink control channel blind detection system comprises:
the validity verification module acquires a plurality of candidate sets to be detected in the search space;
the candidate set extraction module is connected with the validity verification module and is used for selecting one candidate set from a plurality of candidate sets to be detected;
the channel estimation module is connected with the candidate set extraction module and is used for carrying out channel estimation on the candidate set;
the correlation calculation module is connected with the channel estimation module, extracts demodulation reference signals from the candidate set, carries out correlation calculation on the demodulation reference signals and a local reference sequence to obtain a correlation result, and judges whether the candidate set is allowed to pass or not according to the correlation result;
the noise estimation module is connected with the correlation calculation module and carries out noise estimation on the candidate set output by the correlation calculation module;
the signal matrix solving module is connected with the noise estimation module and used for carrying out signal matrix solving on the candidate set according to the output result of the noise estimation output module;
and the polarization code decoding module is connected with the signal matrix decoding module and decodes the candidate set after the signal matrix is decoded, so as to obtain the physical downlink control channel according to the decoding result.
7. The physical downlink control channel blind test system of claim 6, further comprising:
the input end of the signal energy screening module is connected with the candidate set extraction module, the output end of the signal energy screening module is connected with the channel estimation module, and the signal energy screening module is used for judging whether to output the candidate set to the channel estimation module;
the signal energy screening module comprises:
a signal energy calculation module that calculates signal energy in a frequency domain location for the candidate set;
and the signal energy judgment module compares the signal energy with a preset signal energy threshold value to judge whether to output the candidate set to the channel estimation module.
8. The blind detection system of claim 6 wherein the correlation calculation module comprises:
the filtering module is used for receiving the estimation result output by the channel estimation module and filtering the estimation result to obtain the demodulation reference signal;
the correlation calculation module generates a correlation result according to the demodulation reference signal and the reference sequence;
and the correlation judgment module is connected with the correlation calculation module and judges whether the candidate set is allowed to pass or not according to the correlation result.
9. The blind detection system of claim 6 further comprising a soft bit discrimination module, wherein an input end of the soft bit discrimination module is connected to the signal matrix decoding module, an output end of the soft bit discrimination module is connected to the polar code decoding module, and the soft bit discrimination module is configured to determine whether to input the candidate set to the polar code decoding module;
the soft bit discriminating module includes:
the soft bit extraction module extracts soft bit information from the candidate set after the signal matrix is decoded;
the modulation information generation module is connected with the soft bit extraction module and generates modulation signal information according to the soft bit information;
the comparison module is connected with the modulation information generation module and judges whether the candidate set is input into the polar code decoding module according to the modulation information and a preset modulation signal threshold.
10. The blind detection system of claim 9 wherein the modulation information generation module accumulates a plurality of values to be mapped to constellation points in the soft bit information to obtain the modulation signal information.
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