Novel wireless blind detection method, device, equipment, medium and computer program product

By performing time-frequency conversion and network identifier detection on the received air-interface analog signals, the space and balanced data blocks are determined to be blindly inspected, which solves the problem that the existing NR blind detection method is not suitable for the NR passive positioning system, and the blind detection effect of load balancing is achieved.

CN119583009APending Publication Date: 2025-03-07GUANGDONG JIECHUANG INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202411560308.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-04
Publication Date
2025-03-07

AI Technical Summary

Technical Problem

The existing NR blind inspection method is not applicable to NR passive positioning systems, and it is impossible to achieve global search blind inspection, resulting in load imbalance.

Method used

Frequency domain stream data is obtained by converting the received air-port analog signal into time domain stream data, and synchronously processing it and fast Fourier transform. Then, based on the frequency domain stream data, the candidate set space to be blindly inspected is determined, and the network identifier is detected, and the equalization data block corresponding to the target identifier is obtained, and the blind detection result of the air interface analog signal is finally determined based on the equalization data block.

Benefits of technology

Load balancing of the blind inspection of the NR passive positioning system is realized, and the efficiency and accuracy of the blind inspection are improved.

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Abstract

The invention provides a novel wireless blind detection method, device and equipment, a medium and a computer program product, and the method comprises the steps: converting a received air interface analog signal into time domain stream data, and sequentially carrying out the synchronous processing and fast Fourier transform of the time domain stream data, and obtaining frequency domain stream data; determining a candidate set space to be subjected to blind detection based on the frequency domain stream data; performing network identifier detection on the candidate set space to be subjected to blind detection to obtain a balanced data block corresponding to a target identifier; and determining a blind detection result of the air interface analog signal based on the balanced data block. According to the method, data stream processing and data block balancing are sequentially carried out on the air interface analog signal, and under cooperation of the data stream processing and the data block balancing, load balancing of blind detection of the new wireless passive positioning system is achieved.
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Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a new wireless blind detection method, device, equipment, medium and computer program product. Background Art

[0002] In the field of New Radio (NR) communications, the information carried by the physical downlink control channel (PDCCH) is called downlink control information (DCI). Within the entire bandwidth, the information such as the number of time domain symbols and frequency domain position of the PDCCH of the NR system is encapsulated in the candidate set space CORESET. The process of detecting system or user-level DCI in CORESET is called blind detection.

[0003] The existing NR blind detection is to search blindly in the known network identity (NID) and local candidate set space. However, in the NR passive positioning system, the receiver does not know how many PDCCHs are carried in the current CORESET, what format of DCI information is transmitted by the PDCCH, and where the required information is located. Therefore, it is necessary to adopt a full space search method for blind detection. The existing NR blind detection method is obviously not suitable for blind detection in the NR passive positioning system. Summary of the invention

[0004] The present invention provides a new wireless blind detection method, device, equipment, medium and computer program product to solve the defect that the existing NR blind detection technology is not suitable for NR passive positioning systems that require global search blind detection, and realize load balancing of blind detection of NR passive positioning systems.

[0005] The present invention provides a new wireless blind detection method, which comprises the following steps.

[0006] Converting the received air interface analog signal into time domain stream data, and performing synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; Determine a candidate set space to be blindly inspected based on the frequency domain stream data; Performing network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; Based on the equalized data block, a blind detection result of the air interface analog signal is determined.

[0007] According to a new wireless blind detection method provided by the present invention, the synchronous processing and fast Fourier transform of the time domain stream data are performed in sequence to obtain the frequency domain stream data, including: Performing single sideband time-frequency synchronization on the time domain stream data to obtain stream data with a target structure; the stream data with the target structure is composed of at least one system frame; each system frame is composed of at least one subframe; each subframe is composed of multiple time slots; each time slot is composed of multiple symbols; Perform fast Fourier transform on the target symbol in each time slot to obtain frequency domain stream data.

[0008] According to a new wireless blind detection method provided by the present invention, each subframe includes a first time slot and a second time slot; the time domain stream data is synchronously processed and fast Fourier transformed in sequence to obtain frequency domain stream data, and then includes: Based on the target symbol, determining a candidate set space to be blind detected contained in the frequency domain stream data; the candidate set space to be blind detected is composed of a plurality of control channel units; each of the control channel units is composed of a plurality of resource blocks; each of the resource blocks is composed of a demodulation reference signal resource element and a data resource element; The demodulation reference signal and data of the first time slot are stored in a first space, and the demodulation reference signal and data of the second time slot are stored in a second space.

[0009] According to a new wireless blind detection method provided by the present invention, the network identifier detection is performed on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier, which includes: Performing network identifier detection on a demodulation reference signal in the first space or the second space to obtain a network identification value of each control channel unit; Determine a target identification value corresponding to a target identifier among the plurality of network identification values, and determine associated control information based on the target identification value; Channel assessment is performed based on a demodulation reference signal corresponding to the target identifier; the demodulation reference signal corresponding to the target identifier is taken from the first space and the second space based on the associated control information; The data corresponding to the target identifier is equalized based on the channel assessment result to obtain a balanced data block; the data corresponding to the target identifier is taken out from the first space and the second space based on the associated control information.

[0010] According to a new wireless blind detection method provided by the present invention, the new wireless blind detection method further includes: Determine a resource block offset value based on the associated control information; Determining a target resource block corresponding to the target identifier; Determine a mapping resource block based on the resource block offset value and the target resource block; Based on the mapped resource block, a demodulation reference signal and data corresponding to the target identifier are retrieved from the first space and the second space.

[0011] According to a new wireless blind detection method provided by the present invention, determining the blind detection result of the air interface analog signal based on the equalized data block includes: When the data equalization corresponding to the target identifier is completed, the equalized data block is sequentially subjected to descrambling, rate matching and decoding verification to obtain a blind detection result of the downlink control information of the air interface analog signal; the downlink control information is determined based on the associated control information.

[0012] The present invention also provides a new wireless blind detection device, comprising the following modules: The time-frequency conversion module is used to convert the received air interface analog signal into time domain stream data, and perform synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; A module for determining a candidate set space to be blind-checked, used for determining a candidate set space to be blind-checked based on the frequency domain stream data; A network identifier detection module is used to perform network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; A blind detection result determination module is used to determine the blind detection result of the air interface analog signal based on the equalization data block.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the new wireless blind detection method as described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the new wireless blind detection method as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the new wireless blind detection method as described above is implemented.

[0016] The new wireless blind detection method, device, equipment, medium and computer program product provided by the present invention receive an air interface analog signal and convert it into time domain stream data, then perform synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; then, determine the candidate set space to be blind detected based on the frequency domain stream data, perform network identifier detection on the candidate set space to be blind detected, obtain a balanced data block corresponding to the target identifier, and finally schedule the balanced data block to obtain the blind detection result of the air interface analog signal. The present invention realizes load balancing of blind detection of the NR passive positioning system by sequentially processing the stream data and the balanced scheduling processing data block, and the two work together. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is one of the flow charts of the new wireless blind detection method provided by the present invention.

[0019] Figure 2 It is a schematic diagram of a system structure to which the new wireless blind detection method provided by the present invention is applicable.

[0020] Figure 3 It is a schematic diagram of the candidate set space in the new wireless blind detection method provided by the present invention.

[0021] Figure 4 It is a structural schematic diagram of stream data in the new wireless blind detection method provided by the present invention.

[0022] Figure 5 The present invention provides a schematic diagram of the storage of demodulation reference signals and data in the new wireless blind detection method.

[0023] Figure 6 This is the second flow chart of the new wireless blind detection method provided by the present invention.

[0024] Figure 7 It is a schematic diagram of NID detection results in the new wireless blind detection method provided by the present invention.

[0025] Figure 8 It is a structural schematic diagram of a new wireless blind detection device provided by the present invention.

[0026] Fig. 9 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Combine the following Figure 1-Figure 9 The novel wireless blind detection method, apparatus, device, medium and computer program product of the present invention are described.

[0029] Figure 1 It is one of the flow charts of the new wireless blind detection method provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 100: convert the received air interface analog signal into time domain stream data, perform synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; The new wireless blind detection method provided by the present invention is applicable to Figure 2 The NR blind detection system shown mainly includes two parts: data stream processing and data block scheduling. The data stream processing part includes the contents of steps 100 to 300, and the data block scheduling part includes the contents of step 400.

[0030] The data stream processing part mainly includes: time-frequency synchronization, time-frequency FFT conversion, DMRS PingPang cache, DATAPingPang cache, CCE-based NID blind detection, user-based channel estimation, user-based equalization, control information on-path cache at all levels, and demodulation data block cache after equalization; the data block processing part mainly includes: scheduling block data descrambling, rate matching, Polar decoding, and CRC verification. Among them, FFT is the abbreviation of fast fourier transform, which means fast Fourier transform; DMRS is the abbreviation of Demodulation Reference Signal, which means demodulation reference signal; DATA means data; PingPang cache is also called ping-pong cache, which is a double cache mechanism; CCE is the abbreviation of control channel element, which means control channel unit; CRC is the abbreviation of Cyclic Redundancy Check, which means cyclic redundancy check.

[0031] Step 100 of this embodiment mainly includes a time-frequency synchronization part and a time-frequency FFT conversion part. The air interface analog signal is received through the antenna, and the AD (analog-to-digital conversion) continuously samples the air interface analog signal, and converts the air interface analog signal into a digital signal, and converts the digital signal into time domain stream data through continuous sampling. Then, the time domain stream data is synchronized with SSB (synchronization signal and PBCH) time and frequency to obtain the time reference of the base station and the main control message MIB carried in the PBCH. Through SSB synchronization, the starting position of the OFDM symbol (i.e., the operation position of FFT) is obtained from the stream data, and then FFT is performed to convert the time domain stream data into frequency domain stream data. Among them, SSB is the abbreviation of Single Side Band, which means single sideband; PBCH is the abbreviation of Physical Broadcast Channel, which means physical broadcast channel; MIB is the abbreviation of Master Information Block, which means master information block; OFDM is the abbreviation of Orthogonal Frequency Division Multiplexing, which means orthogonal frequency division multiplexing.

[0032] Step 200: determining a candidate set space to be blindly inspected based on the frequency domain stream data; Specifically, after performing SSB on the time domain stream data, a data stream with a certain structure can be obtained. The data stream includes time slot symbols, which can be 0 to 13. Performing FFT time-frequency conversion on 0 and 1 in the time slot symbols can obtain the CORESETx candidate set space to be blindly detected, where x is the number of candidate set spaces. For example, within the entire bandwidth, the base station can be divided into multiple candidate set spaces, supporting a maximum of 12 candidate set spaces, numbered 0 to 11. Figure 3 As shown, Figure 3 Schematic diagram of the candidate set space to be blindly inspected.

[0033] Step 300: Perform network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; After obtaining the frequency domain stream data, DMRS and DATA are separated from the frequency domain and stored separately by PingPang. The received DMRS is used for NID detection, and then channel estimation and equalization are performed based on NID. Finally, the demodulated data blocks (based on NID blocks) after equalization are stored.

[0034] Step 400: Determine a blind detection result of the air interface analog signal based on the equalized data block.

[0035] like Figure 2As shown, in the data block processing part, when there are equalized data blocks to be processed, the data blocks after equalization demodulation are sequentially subjected to descrambling, rate matching, decoding, and verification operations, and finally a blind detection (user-level) DCI result is output.

[0036] This embodiment receives an air interface analog signal and converts it into time domain stream data, then performs synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; then, based on the frequency domain stream data, a candidate set space to be blindly inspected is determined, a network identifier is detected on the candidate set space to be blindly inspected, a balanced data block corresponding to the target identifier is obtained, and finally the balanced data block is scheduled and processed to obtain a blind inspection result of the air interface analog signal. The present invention realizes load balancing of blind inspection of the NR passive positioning system by sequentially processing the stream data and the balanced scheduling processing data block, and the two work together.

[0037] In one embodiment, the new wireless blind detection method provided in the embodiment of the present application may further include: Step 110: performing single sideband time-frequency synchronization on the time domain stream data to obtain stream data with a target structure; the stream data with the target structure is composed of at least one system frame; each system frame is composed of at least one subframe; each subframe is composed of multiple time slots; each time slot is composed of multiple symbols; Step 120: Perform fast Fourier transform on the target symbol in each time slot to obtain frequency domain stream data.

[0038] Specifically, after single-sideband time-frequency synchronization processing is performed on the time domain stream data, the following can be obtained: Figure 4 The data flow of the structure shown (i.e., the target structure in this embodiment). Figure 4 In the given data stream example structure, the structure consists of at least one system frame, each system frame consists of 10 subframes, each subframe consists of two time slots; each time slot consists of 14 symbols. The time domain search space for blind detection is the first 1 to 3 symbols of the time slot, which can be configured as the first two symbols of the time slot, i.e., symbol 0 and symbol 1 of each time slot (i.e., the target symbol in this embodiment). SSB synchronization also provides the position information of the symbol in the time domain (symbol 0 and symbol 1) for time-frequency conversion, i.e., the starting position of the FFT operation. Perform FFT time-frequency conversion on symbol 0 and symbol 1, and obtain the following: Figure 3 The frequency domain streaming data is shown.

[0039] This embodiment obtains frequency domain stream data containing the space of candidate sets to be blindly detected by performing SSB synchronization and FFT time-frequency conversion on the time domain stream data.

[0040] In one embodiment, the new wireless blind detection method provided in the embodiment of the present application may further include: Step 500: Based on the target symbol, determine the candidate set space to be blind detected contained in the frequency domain stream data; the candidate set space to be blind detected is composed of multiple control channel units; each of the control channel units is composed of multiple resource blocks; each of the resource blocks is composed of demodulation reference signal resource elements and data resource elements; Step 600: Store the demodulation reference signal and data of the first time slot in a first space, and store the demodulation reference signal and data of the second time slot in a second space.

[0041] like Figure 3 As shown, the candidate set space includes multiple CCE spaces, 1 CCE = 6REG = 6RB, 1REG = 1RB = 12RE, and there are multiple DMRS REs and multiple DATA REs in 1RB, for example, there are 3 DMRS REs and 9 DATA REs in 1RB. Among them, REG is the abbreviation of Resource Element Group, which means resource unit group; RB is the abbreviation of Resource Block, which means resource block; RE is the abbreviation of Resource Element, which means resource element.

[0042] like Figure 5 As shown, after symbol deinterleaving, the DMRS RE and DATA RE are stored separately in units of frequency domain symbols, and PingPang storage is performed with the time slot time as the boundary. For example, the DMRS RE and DATA RE of time slot 1 are placed in the PingA storage space, and then the DMRS of the PangB space of time slot 0 can be read for NID detection operation; or, the DMRS of the PangB space can be read for channel estimation (based on the NID already detected in time slot 0), or, the DATA of the PangB space of time slot 0 can be read for equalization (based on the NID already detected in time slot 0), and efficient stream data processing: while performing NID detection, channel estimation and equalization of the existing NID can be processed. The above-mentioned time slot 0 and time slot 1 are the first time slot and the second time slot in this embodiment, the above-mentioned PingA is the first space in this embodiment, and the above-mentioned PangB is the second space in this embodiment.

[0043] This embodiment achieves efficient processing of data streams by storing demodulation reference signals and data separately and calling different demodulation reference signals and data based on different tasks.

[0044] Figure 6 This is the second flow chart of the new wireless blind detection method provided by the present invention, such as Figure 6 As shown, the method may also include: Step 310: Perform network identifier detection on the demodulation reference signal in the first space or the second space to obtain a network identification value of each control channel unit; Step 320: Determine a target identification value corresponding to a target identifier among the plurality of network identification values, and determine associated control information based on the target identification value; Step 330: performing channel estimation based on a demodulation reference signal corresponding to the target identifier; the demodulation reference signal corresponding to the target identifier is taken from the first space and the second space based on the associated control information; Step 340: Perform equalization processing on the data corresponding to the target identifier based on the channel assessment result to obtain a balanced data block; the data corresponding to the target identifier is taken out from the first space and the second space based on the associated control information.

[0045] Perform NID detection operation on the DMRS of the first space or the second space, and obtain the following Figure 7 The schematic diagram of the NID detection result is shown in FIG. If the NID value (i.e., the network identification value in this embodiment) output by the NID detection is less than a certain value (e.g., 65535), it is considered to be a suspected NID value (i.e., the target identification value in this embodiment) and can be used for the subsequent blind detection process. Otherwise, it can be discarded. The associated control information (including aggregation level, CCE number, and NID value) can be determined through the NID detection result. Figure 7 For example, the aggregation level is 2, the CCE number is 6 and the NID value is 21281, the aggregation level refers to the number of CCEs with the same value detected, and the target identifier in this embodiment refers to the network identifier corresponding to the target identification value.

[0046] Write the NID value and the associated control information into the NID FIFO (NID first-in-first-out queue), and then the NID FIFO state becomes non-empty, indicating that there are NIDs to be processed in the NID FIFO, and the channel estimation based on the NID can be performed. Read the associated control information from the NID FIFO, and then, according to the associated parameters in the associated control information, take out the DMRS corresponding to the target identifier from the DMRS PingPang for channel estimation. After the channel estimation is completed, take out the target identifier from the DATA PingPang to balance the data to be balanced, obtain the balanced data block and cache it, and store the corresponding associated control information in the next level FIFO for the scheduling system (such as CPU) to perform polling scheduling.

[0047] This embodiment can process NID-based channel assessment and data equalization while detecting the NID, thereby improving the processing efficiency of the data stream.

[0048] In one embodiment, the new wireless blind detection method provided in the embodiment of the present application may further include: Step 10: Determine a resource block offset value based on the associated control information; Step 20: Determine the target resource block corresponding to the target identifier; Step 30: Determine a mapping resource block based on the resource block offset value and the target resource block; Step 40: Based on the mapped resource block, retrieve the demodulation reference signal and data corresponding to the target identifier from the first space and the second space.

[0049] After determining the associated control information, CCE is physically mapped to the actual RB. When the aggregation level is 2, the CCE number is 6, and the NID value is 21281, the physical mapping process of CCE to the actual RB is as follows: First, an RB offset value is determined, for example, 54. The RB values ​​of CCE number 6 are 36, 37, 38, 39, 40, and 41 (i.e., the target resource block in this embodiment). After adding the offset value, the obtained RB values ​​are 72, 73, 74, 75, 76, and 77 (i.e., the mapped resource block in this embodiment). Based on the physical mapping of CCE to the actual RB, DATA is taken from the DATA PingPang buffer for equalization according to this mapping, or DMRS is taken from the DMRS PingPang buffer for channel estimation.

[0050] In this embodiment, a demodulation reference signal and data corresponding to a target identifier are taken out from the first space and the second space through resource block mapping to perform channel estimation and equalization processing.

[0051] In one embodiment, the new wireless blind detection method provided in the embodiment of the present application may further include: Step 410: When the data equalization corresponding to the target identifier is completed, the equalized data block is sequentially subjected to descrambling, rate matching and decoding verification to obtain a blind detection result of the downlink control information of the air interface analog signal; the downlink control information is determined based on the associated control information.

[0052] In the data block scheduling process, the scheduling system (CPU) has to handle other tasks in addition to blind detection scheduling, such as user service data scheduling. In order to achieve system load balancing, the data block processing related tasks are scheduled by the CPU, and polling processing is adopted. The sign that the data block scheduling subsystem starts working is that the accompanying control information FIFO of the balanced data block is not empty, indicating that there are users' balanced results to be processed. The data block scheduling subsystem mainly completes the data block descrambling, rate matching and polar decoding (a coding technology based on channel polarization phenomenon) scheduling after balanced demodulation. Finally, the blind detection DCI output is completed, and the blind detection process is completed.

[0053] This embodiment uses a scheduling system to perform multiple processing on the balanced data blocks in sequence, and cooperates with the data stream processing to achieve load balancing in the blind detection process of the NR passive positioning system.

[0054] The new wireless blind detection device provided by the present invention is described below. The new wireless blind detection device described below and the new wireless blind detection method described above can be referenced to each other.

[0055] Please refer to Figure 8 The present invention also provides a new wireless blind detection device, comprising: The time-frequency conversion module 301 is used to convert the received air interface analog signal into time domain stream data, and perform synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; A module 302 for determining a candidate set space to be blind-checked, configured to determine a candidate set space to be blind-checked based on the frequency domain stream data; A network identifier detection module 303 is used to perform network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to a target identifier; The blind detection result determination module 304 is used to determine the blind detection result of the air interface analog signal based on the equalization data block.

[0056] Optionally, the time-frequency conversion module includes: A single sideband time-frequency synchronization unit is used to perform single sideband time-frequency synchronization on the time domain stream data to obtain stream data with a target structure; the stream data with the target structure is composed of at least one system frame; each system frame is composed of at least one subframe; each subframe is composed of multiple time slots; each time slot is composed of multiple symbols; The frequency domain stream data determination unit is used to perform fast Fourier transform on the target symbol in each time slot to obtain frequency domain stream data.

[0057] Optionally, each subframe includes a first time slot and a second time slot; the new wireless blind detection device further includes: A candidate set composition determination module is used to determine the candidate set space to be blind detected contained in the frequency domain stream data based on the target symbol; the candidate set space to be blind detected is composed of multiple control channel units; each of the control channel units is composed of multiple resource blocks; each of the resource blocks is composed of demodulation reference signal resource elements and data resource elements; The storage module is used to store the demodulation reference signal and data of the first time slot in a first space, and store the demodulation reference signal and data of the second time slot in a second space.

[0058] Optionally, the network identifier detection module includes: a network identifier detection unit, configured to perform network identifier detection on a demodulation reference signal in the first space or the second space to obtain a network identification value of each control channel unit; A path control information determination unit, used to determine a target identification value corresponding to a target identifier among the plurality of network identification values, and determine the path control information based on the target identification value; A channel assessment unit, configured to perform channel assessment based on a demodulation reference signal corresponding to the target identifier; the demodulation reference signal corresponding to the target identifier is taken from the first space and the second space based on the associated control information; A data equalization unit is used to equalize the data corresponding to the target identifier based on the channel evaluation result to obtain a balanced data block; the data corresponding to the target identifier is taken from the first space and the second space based on the associated control information.

[0059] Optionally, the new wireless blind detection device further includes: A resource block offset value determination module, used to determine a resource block offset value based on the associated control information; A target resource block determination module, used to determine the target resource block corresponding to the target identifier; A mapping resource block determination module, used to determine a mapping resource block based on the resource block offset value and the target resource block; A reading module is used to retrieve a demodulation reference signal and data corresponding to the target identifier from the first space and the second space based on the mapped resource block.

[0060] Optionally, the blind detection result determination module includes: A blind detection result determination unit is used to perform descrambling, rate matching and decoding verification on the equalized data blocks in sequence when the data equalization corresponding to the target identifier is completed, so as to obtain the blind detection result of the downlink control information of the air interface simulation signal; the downlink control information is determined based on the associated control information.

[0061] Fig. 9 An example of a physical structure diagram of an electronic device is shown in FIG. Fig. 9 As shown, the electronic device may include: a processor (processor) 410, a communication interface (Communications Interface) 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 complete mutual communication through the communication bus 440. The processor 410 can call the logic instructions in the memory 430 to execute the new wireless blind detection method, which includes: converting the received air interface analog signal into time domain stream data, performing synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; determining the candidate set space to be blindly detected based on the frequency domain stream data; performing network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; and determining the blind detection result of the air interface analog signal based on the balanced data block.

[0062] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0063] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the new wireless blind detection method provided by the above methods, which includes: converting the received air interface analog signal into time domain stream data, performing synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; determining a candidate set space to be blindly detected based on the frequency domain stream data; performing network identifier detection on the candidate set space to be blindly detected to obtain an equalized data block corresponding to the target identifier; and determining the blind detection result of the air interface analog signal based on the equalized data block.

[0064] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the new wireless blind detection method provided by the above-mentioned methods. The method includes: converting the received air interface analog signal into time domain stream data, performing synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; determining a candidate set space to be blindly detected based on the frequency domain stream data; performing network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; and determining a blind detection result of the air interface analog signal based on the balanced data block.

[0065] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0066] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A new wireless blind detection method, characterized in that: The new wireless blind detection method comprises: Converting the received air interface analog signal into time domain stream data, and performing synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; Determine a candidate set space to be blindly inspected based on the frequency domain stream data; Performing network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; Based on the equalized data block, a blind detection result of the air interface analog signal is determined.

2. The new wireless blind detection method according to claim 1, characterized in that: The synchronous processing and fast Fourier transform of the time domain stream data are performed in sequence to obtain the frequency domain stream data, including: Performing single sideband time-frequency synchronization on the time domain stream data to obtain stream data with a target structure; the stream data with the target structure is composed of at least one system frame; each system frame is composed of at least one subframe; each subframe is composed of multiple time slots; each time slot is composed of multiple symbols; Perform fast Fourier transform on the target symbol in each time slot to obtain frequency domain stream data.

3. The new wireless blind detection method according to claim 2, characterized in that: Each subframe includes a first time slot and a second time slot; The time domain stream data is sequentially subjected to synchronization processing and fast Fourier transformation to obtain frequency domain stream data, and then includes: Based on the target symbol, determining a candidate set space to be blind-checked contained in the frequency-domain stream data; the candidate set space to be blind-checked is composed of a plurality of control channel units; each of the control channel units is composed of a plurality of resource blocks; each of the resource blocks is composed of a demodulation reference signal resource element and a data resource element; The demodulation reference signal and data of the first time slot are stored in a first space, and the demodulation reference signal and data of the second time slot are stored in a second space.

4. The new wireless blind detection method according to claim 3, characterized in that: The performing network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier comprises: Performing network identifier detection on a demodulation reference signal in the first space or the second space to obtain a network identification value of each control channel unit; Determine a target identification value corresponding to a target identifier among the plurality of network identification values, and determine associated control information based on the target identification value; Channel assessment is performed based on a demodulation reference signal corresponding to the target identifier; the demodulation reference signal corresponding to the target identifier is taken from the first space and the second space based on the associated control information; The data corresponding to the target identifier is equalized based on the channel assessment result to obtain a balanced data block; the data corresponding to the target identifier is taken out from the first space and the second space based on the associated control information.

5. The new wireless blind detection method according to claim 4, characterized in that: The new wireless blind detection method further includes: Determine a resource block offset value based on the associated control information; Determining a target resource block corresponding to the target identifier; Determine a mapping resource block based on the resource block offset value and the target resource block; Based on the mapped resource block, a demodulation reference signal and data corresponding to the target identifier are retrieved from the first space and the second space.

6. The new wireless blind detection method according to claim 4, characterized in that: The step of determining the blind detection result of the air interface analog signal based on the equalized data block includes: When the data equalization corresponding to the target identifier is completed, the equalized data block is sequentially subjected to descrambling, rate matching and decoding verification to obtain a blind detection result of the downlink control information of the air interface analog signal; the downlink control information is determined based on the associated control information.

7. A new wireless blind detection device, characterized in that: include: The time-frequency conversion module is used to convert the received air interface analog signal into time domain stream data, and perform synchronization processing and fast Fourier transform on the time domain stream data in sequence to obtain frequency domain stream data; A module for determining a candidate set space to be blind-checked, used for determining a candidate set space to be blind-checked based on the frequency domain stream data; A network identifier detection module is used to perform network identifier detection on the candidate set space to be blindly detected to obtain a balanced data block corresponding to the target identifier; A blind detection result determination module is used to determine the blind detection result of the air interface analog signal based on the equalization data block.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the new wireless blind detection method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the new wireless blind detection method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the new wireless blind detection method according to any one of claims 1 to 6 is implemented.

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