CN114466402A - Cell detection method, device, equipment and readable storage medium - Google Patents
Cell detection method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The application relates to a cell detection method, a device, equipment and a readable storage medium, wherein the terminal equipment adopts a preset frequency offset value to perform frequency offset compensation on a first synchronous signal to obtain a second synchronous signal; then, carrying out correlation detection on the second synchronous signal by adopting a plurality of time offset hypothesis values, and determining the time offset value of the target cell to be detected; finally, determining the cell information of the target cell according to the preset frequency deviation value and the time deviation value; the preset frequency deviation value is a frequency deviation value corresponding to an interference cell searched by the terminal device. By adopting the method, the calculation complexity in cell detection can be reduced.
Description
Technical Field
The present application relates to the field of terminal technologies, and in particular, to a cell detection method, apparatus, device, and readable storage medium.
Background
In order to search more cells in a frequency band, the terminal device may perform preliminary cell search, determine a cell with a stronger searched signal, and perform interference cancellation on the cell with the stronger signal in the received synchronization signal. Further, the terminal device may perform cell detection on the signal after performing interference cancellation to determine whether a target cell with a weak signal exists.
In the cell detection process, the time and frequency offset problem of the target cell needs to be considered, and the calculation complexity is high.
Disclosure of Invention
The embodiment of the application provides a cell detection method, a cell detection device, cell detection equipment and a readable storage medium, which can reduce the calculation complexity in the cell detection process.
In a first aspect, a cell detection method includes:
performing frequency offset compensation on the first synchronous signal by adopting a preset frequency offset value to obtain a second synchronous signal; presetting a frequency deviation value as a frequency deviation value corresponding to an interference cell searched by the terminal equipment;
performing correlation detection on the second synchronization signal by adopting a plurality of time offset hypothesis values, and determining a time offset value of a target cell to be detected;
and determining the cell information of the target cell according to the preset frequency deviation value and the time deviation value.
In a second aspect, a cell detection apparatus includes:
the compensation module is used for carrying out frequency offset compensation on the first synchronous signal by adopting a preset frequency offset value to obtain a second synchronous signal; presetting a frequency deviation value as a frequency deviation value corresponding to an interference cell searched by the terminal equipment;
the detection module is used for carrying out correlation detection on the second synchronous signal by adopting a plurality of time offset hypothesis values and determining a time offset value of a target cell to be detected;
and the determining module is used for determining the cell information of the target cell according to the preset frequency deviation value and the time deviation value.
In a third aspect, a terminal device includes a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to perform the steps of the cell detection method.
In a fourth aspect, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the above-described cell detection method.
In a fifth aspect, a computer program product comprises a computer program which, when executed by a processor, performs the steps of the above-described cell detection method.
A cell detection method, device, equipment and readable storage medium, terminal equipment adopts a preset frequency offset value to perform frequency offset compensation on a first synchronous signal to obtain a second synchronous signal; then, carrying out correlation detection on the second synchronous signal by adopting a plurality of time offset hypothesis values, and determining a time offset value of a target cell to be detected; finally, determining cell information of the target cell according to a preset frequency deviation value and a time deviation value; the preset frequency deviation value is a frequency deviation value corresponding to an interference cell searched by the terminal equipment. Because the frequency deviation value of the target cell is mainly related to the crystal oscillator frequency deviation and the Doppler deviation of the terminal equipment, the difference between the frequency deviation value of the target cell and the frequency deviation value of the interference cell searched by the terminal equipment is small, the frequency deviation value corresponding to the interference cell searched by the terminal equipment can be used as the frequency deviation value of the target cell, and the accuracy of the frequency deviation value of the target cell is improved; based on the preset frequency deviation value, the terminal device performs frequency deviation compensation on the first synchronization signal by using the preset frequency deviation value to obtain accurate cell information of the target cell, and does not need to perform correlation detection through a plurality of frequency deviation assumed values to determine the frequency deviation value, so that the times of performing correlation detection in cell detection are reduced, and the calculation complexity is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is an application environment diagram of a cell detection method according to an embodiment of the present application;
fig. 2 is a flowchart of a cell detection method according to an embodiment of the present application;
fig. 3 is a flowchart of a cell detection method according to an embodiment of the present application;
fig. 4 is a diagram illustrating a cell detection method according to an embodiment of the present application;
fig. 5 is a flowchart of a cell detection method according to an embodiment of the present application;
fig. 6 is a flowchart of a cell detection method according to an embodiment of the present application;
fig. 7 is a flowchart of a cell detection method according to an embodiment of the present application;
fig. 8 is a block diagram of a cell detection apparatus according to an embodiment of the present application;
fig. 9 is a block diagram of a cell detection apparatus according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a terminal device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Fig. 1 is a schematic view of an application scenario of a cell detection method according to an embodiment of the present application. As shown in fig. 1, the application environment includes a terminal device 100, and the electronic device 100 may search signals of a plurality of cells 200 when performing cell search. The network devices covering the above cells may include, but are not limited to: a base station NodeB, an evolved node b, a base station in the fifth generation (5G) communication system, a base station or network device in a future communication system, an access node in a WiFi system, a wireless relay node, a wireless backhaul node, and the like. The network device may also be a wireless controller, a small station, a transmission node (TRP), a Road Side Unit (RSU), and the like in a Cloud Radio Access Network (CRAN) scene. The embodiments of the present application do not limit the specific technologies and the specific device forms adopted by the network devices. The terminal device may be a device with a wireless transceiving function, and may be, but not limited to, a handheld, wearable, or vehicle-mounted device; the terminal device may be a mobile phone, a tablet computer, a computer with a wireless transceiving function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal in industrial control (industrial control), a wireless terminal in self-driving (self-driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like. The embodiments of the present application do not limit the application scenarios.
The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
In an embodiment, as shown in fig. 2, a cell detection method is provided, which is described by taking the application of the method to the terminal device in fig. 1 as an example, and includes:
s102, performing frequency offset compensation on the first synchronous signal by adopting a preset frequency offset value to obtain a second synchronous signal; the preset frequency deviation value is a frequency deviation value corresponding to an interference cell searched by the terminal equipment.
The first synchronization signal may be a signal searched in a frequency search phase when the terminal device wirelessly accesses. The Radio access may be a Radio access procedure in a Long Term Evolution (LTE) system, a Radio access procedure in a 5G New Radio (NR) system, or a Radio access procedure in other communication systems, which is not limited herein.
The terminal device may receive the synchronization signal at a preset time domain position of the synchronization signal. The terminal device may receive the synchronization signals sent by the multiple cells at the preset time domain receiving position of the synchronization signal, and may obtain the first synchronization signal after performing interference cancellation processing or filtering processing on the synchronization signals. The Synchronization Signal may be a Cell-specific Reference Signal (CRS Signal for short) in the LTE system, a Primary Synchronization Signal (PSS Signal for short) in the NR system, or a Secondary Synchronization Signal (SSS Signal) in the NR system, and the type of the Synchronization Signal is not limited herein. The preset frequency offset value may be a frequency offset value pre-stored in the terminal device, and the frequency offset value may be a frequency offset value corresponding to an interfering cell searched by the terminal device. Before detecting the target cell, the terminal device may analyze the synchronization signal of the interfering cell to obtain the frequency offset value of the interfering cell.
The frequency offset value is mainly related to the crystal frequency offset of the terminal device and the doppler offset of the channel. For the same terminal device, the crystal oscillator frequency offsets corresponding to different cells are the same. The frequency offset value between different cells differs mainly by doppler shift, while the deviation between doppler shifts between different cells is reliable, and the difference between frequency shifts caused by doppler shifts of different cells may be within a preset difference range. For example, taking the LTE system as an example, if the terminal device is in a high-speed rail environment, the high-speed rail speed per hour may be 320KM/H, and the doppler shift corresponding to different cells may be 875Hz × 2 — 1750 Hz; that is, the error between frequency offset values between different cells may be below 2 KHz. The frequency deviation can be tolerated by using a synchronization signal detection algorithm.
The second synchronization signal may be a signal obtained by performing frequency offset compensation on the first synchronization signal. The terminal device may perform frequency offset compensation on the first synchronization signal by using a preset frequency offset value to obtain the second synchronization signal.
And S104, performing correlation detection on the second synchronization signal by adopting a plurality of time offset hypothesis values, and determining the time offset value of the target cell to be detected.
On the basis of obtaining the frequency offset compensated second synchronization signal, the terminal device may perform a time offset assumption on the second synchronization signal to obtain a plurality of time offset assumption values. The time offset hypothesis value may be obtained based on a time offset value of the interfering cell, or a plurality of time offset hypothesis values may be generated according to a preset time offset value and preset time offset steps. For example, the preset time offset value is T, the preset time offset step is Δ T, and the terminal device may generate a plurality of time offset assumed values as: t-2 Δ T, T- Δ T, T, T + Δ T, T +2 Δ T. The number of the time offset assumed values may be any value within a preset number range, and may be 3, 5, or other numbers.
The terminal device may perform correlation detection on the second synchronization signal using the plurality of time offset hypothesis values. The correlation detection may be a time domain detection or a frequency domain detection, and is not limited herein. The terminal device may determine the time offset value of the target cell according to the correlation detection result.
In an implementation manner, the terminal device may perform frequency domain correlation detection on the second synchronization signal by using a plurality of time domain offset hypothesis values, and determine a time offset value of the target cell to be detected. Because the sensitivity of the frequency domain correlation retrieval to the error of the frequency deviation value is low, and the error amount of the frequency deviation value is easy to be larger, the accuracy of the cell detection result can be ensured while the cell detection complexity is reduced.
Taking the synchronization signal in the NR system as an example, assuming that the frequency offset value of the second synchronization signal itself is 0Hz, the preset frequency offset value may be 1KHz, the subcarrier bandwidth is 15KHz, and the error of the frequency domain correlation detection is:
it can be seen that the correlation detection error corresponding to the preset frequency offset value is small, and has little influence on the performance of the second synchronization signal.
And S106, determining the cell information of the target cell according to the preset frequency deviation value and the time deviation value.
After determining the time offset value, the terminal device may obtain a frequency offset value and a time offset value of the target cell, and may further determine cell information of the target cell according to the frequency offset value and the time offset value.
The cell information may include a time offset value of the target cell and a frequency offset value of the target cell, and may further include a cell Identity (Identity document, abbreviated as ID) of the target cell. Optionally, the cell information includes a cell identifier of the target cell, a time offset value of the target cell, a frequency offset value of the target cell, and a synchronization signal time domain position of the target cell. The cell identifier may be used to uniquely identify the target cell.
In the cell detection method, the terminal equipment adopts the preset frequency offset value to perform frequency offset compensation on the first synchronous signal to obtain a second synchronous signal; then, carrying out correlation detection on the second synchronous signal by adopting a plurality of time offset hypothesis values, and determining a time offset value of a target cell to be detected; finally, determining cell information of the target cell according to a preset frequency deviation value and a time deviation value; the preset frequency offset value is a frequency offset value corresponding to an interference cell searched by the terminal device. Because the frequency deviation value of the target cell is mainly related to the crystal oscillator frequency deviation and the Doppler deviation of the terminal equipment, the difference between the frequency deviation value of the target cell and the frequency deviation value of the interference cell searched by the terminal equipment is small, the frequency deviation value corresponding to the interference cell searched by the terminal equipment can be used as the frequency deviation value of the target cell, and the accuracy of the frequency deviation value of the target cell is improved; based on the preset frequency deviation value, the terminal device performs frequency deviation compensation on the first synchronization signal by using the preset frequency deviation value to obtain accurate cell information of the target cell, and does not need to perform correlation detection through a plurality of frequency deviation assumed values to determine the frequency deviation value, so that the times of performing correlation detection in cell detection are reduced, and the calculation complexity is reduced.
Fig. 3 is a schematic flow chart of a cell detection method in an embodiment, which relates to an acquisition method of a first synchronization signal, and based on the above embodiment, as shown in fig. 3, the method further includes:
s202, reconstructing an interference synchronization signal corresponding to the interference cell.
The interference cell may be a strong signal cell searched by the terminal device during cell search. When the signal-to-noise ratio of the target cell is low in the synchronization signal received by the terminal device, the target cell cannot be directly searched. Therefore, the terminal cell may perform interference cancellation on the synchronization signal to detect whether there are other target cells that are not searched from the synchronization signal after the interference cancellation.
For interference cancellation, the terminal device may reconstruct an interference synchronization signal corresponding to the interfering cell. The method for reconstructing the interference synchronization signal may be to perform signal reconstruction in a frequency domain, or may be to perform signal reconstruction in a time domain, which is not limited herein.
In one implementation, the terminal device may receive time domain data of the synchronization signal at a preset time domain position, and then perform channel estimation based on the time domain data to obtain a time domain channel estimation result of the synchronization signal; further, the terminal device may reconstruct an interfering synchronization signal of the interfering cell based on the local sequence corresponding to the synchronization signal and the time domain channel estimation result.
In another implementation manner, the terminal device may receive time domain data of the synchronization signal at a preset time domain position, and then perform fast fourier transform on the time domain data to obtain frequency domain data corresponding to the time domain data; further, the terminal device may perform channel estimation based on the frequency domain data to obtain a frequency domain channel estimation result of the synchronization signal, and then reconstruct the interference synchronization signal of the interfering cell according to the local sequence and the frequency domain channel estimation result.
The channel estimation may adopt Least Square Method (LS) channel estimation, or Minimum Mean Square Error (MMSE) channel estimation, or may combine LS channel estimation and MMSE channel estimation to obtain a channel estimation result.
S204, eliminating interference to the interference synchronous signal in the received synchronous signal to obtain a first synchronous signal.
The terminal device may subtract the interference synchronization signal from the received synchronization signal to complete interference cancellation of the interference synchronization signal.
When the terminal device searches a plurality of interfering cells, the terminal device may determine a cancellation order of each interfering cell according to the signal strength of the interfering cells, and then perform interference cancellation on the interfering synchronization signal of the interfering cells according to the cancellation order to obtain the first synchronization signal.
Taking the synchronization signal shown in fig. 4 as an example, when the terminal device performs cell search, N cells are searched. The N cells may be cells with the same frequency or cells whose signal position difference does not exceed a Cyclic Prefix (CP) range. The channels corresponding to the N interfering cells are respectively the Fading Channel 1 to Fading Channel N in the figure. The synchronization signal received by the terminal device may be expressed as:
wherein HiAs a result of channel estimation in the ith cell, DiDenotes a local sequence corresponding to the ith cell, HiDiIndicating the reconstructed interference synchronization signal corresponding to the ith cell, and N indicating noise. The terminal device may sequentially subtract the interfering synchronization signals from the received synchronization signals, and may detect the target cell in the obtained first synchronization signal.
For the interfering cells, the terminal device may obtain the frequency offset value of each interfering cell, and then determine the frequency offset value corresponding to the interfering cell with the largest signal strength as the preset frequency offset value corresponding to the target cell to be detected.
According to the cell detection method, the terminal equipment can perform interference elimination on the received synchronous signal by reconstructing the interference synchronous signal, and the signal to noise ratio of the first synchronous signal is improved, so that the target cell can be successfully detected from the synchronous signal after the interference elimination, and the terminal equipment can perform cell switching and other operations according to more detected cells.
Fig. 5 is a schematic flowchart of a cell detection method in an embodiment, where the embodiment relates to a manner in which a terminal device determines a time offset value, and on the basis of the embodiment, as shown in fig. 5, the step S104 includes:
s302, respectively adopting a plurality of time offset hypothesis values to perform time offset compensation on the second synchronous signal, and obtaining a third synchronous signal.
The terminal device may adopt a plurality of time offset assumed values to perform time offset compensation on the second synchronization signal respectively, so as to obtain a third synchronization signal corresponding to each time offset assumed value.
And S304, respectively calculating first correlation coefficients of the third synchronization signal and the plurality of local sequences, and determining a time offset assumed value associated with the third synchronization signal corresponding to the maximum value of the first correlation coefficients as a time offset value of the target cell.
The local sequence may be a synchronization signal sequence corresponding to a target cell that may be detected. That is to say, when the terminal device performs cell detection in the second synchronization signal, under the condition that it is not determined which cell synchronization signal is received, the terminal device may perform correlation detection on a plurality of local sequences preset in the terminal device, respectively, to determine the target cell.
The terminal device may perform correlation calculation separately for each third synchronization signal and each local sequence, and calculate a first correlation coefficient between the third synchronization signal and the local sequence. The larger the first correlation coefficient is, the higher the similarity degree of the third synchronization signal and the local sequence is represented.
For example, the time offset assumption value may include 3 values, and the terminal device may obtain 3 third synchronization signals, where each third synchronization signal corresponds to one time offset assumption value. The terminal device may include 2 local sequences, and the terminal device may perform correlation calculation on the 3 third synchronization signals and the 2 local sequences, respectively, to obtain 6 first correlation coefficients.
Further, the terminal device may determine a third synchronization signal corresponding to the maximum value of the first correlation coefficient, then determine a time offset assumed value adopted by the third synchronization signal, and determine the time offset assumed value as the time offset value of the target cell.
In the case of determining the time offset value, the terminal device may determine a local sequence corresponding to the maximum value of the first correlation coefficient as a local sequence corresponding to a target cell, and then determine cell information of the target cell according to the local sequence of the target cell. The cell information may be extracted from the local sequence, or may be determined according to the local sequence and other sequences, which is not limited herein.
In the cell detection method, after the terminal device performs frequency offset compensation on the first synchronization signal to obtain the second synchronization signal, the terminal device may perform correlation detection on the second synchronization signal through a plurality of time offset assumption values to determine a time offset value of the target cell; in the related detection process, the preset frequency deviation value is adopted to replace the frequency deviation for carrying out hypothesis compensation, so that the calculation complexity of cell detection can be greatly reduced, and the system overhead is reduced.
Fig. 6 is a schematic flowchart of a cell detection method in an embodiment, where this embodiment relates to a manner in which a terminal device determines cell information of a target cell, and on the basis of the foregoing embodiment, a first synchronization signal is a PSS signal, and a target local sequence is a PSS sequence corresponding to the target cell, as shown in fig. 6, the determining the cell information of the target cell according to the target local sequence may include:
s402, performing frequency offset compensation and time offset compensation on the SSS signals in the received signals by adopting a preset frequency offset value and a preset time offset value.
Taking the 5G NR system as an example, the NR system mainly includes two kinds of synchronization signals, PSS signals and SSS signals. In the NR system, 1008 cell IDs are defined in total, and divided into 336 cell group IDs, each of which consists of 3 intra-group cells. The PSS signal is generated using the cell group ID, and the SSS signal is generated using the cell group ID and the intra-cell group ID. Therefore, when the first synchronization signal is a PSS signal, the terminal device needs to determine the cell ID jointly according to the PSS sequence and the SSS sequence corresponding to the target cell.
Therefore, the terminal device needs to further determine which cell's SSS signal is included in the received synchronization signal on the basis of determining the PSS sequence of the target cell.
The terminal device may perform frequency offset compensation on the SSS signal in the received signal by using a frequency offset value corresponding to the PSS sequence, that is, a preset frequency offset value; and performing time offset compensation on the frequency offset compensated signal by adopting the time offset value corresponding to the PSS sequence to obtain a compensated SSS signal.
Or, the terminal device may perform time offset compensation on the SSS signal in the received signal by using the time offset value corresponding to the PSS sequence; and performing frequency offset compensation on the time offset compensated signal by using the frequency offset value corresponding to the PSS sequence to obtain a compensated SSS signal.
S404, calculating second correlation coefficients of a plurality of SSS local sequences corresponding to the compensated SSS signals and the PSS sequences.
Because the same PSS sequence may correspond to multiple SSS sequences, the terminal device may perform correlation calculation on multiple SSS local sequences and the compensated SSS signals, respectively, to obtain a second correlation coefficient corresponding to each SSS local sequence. The larger the second correlation number is, the higher the similarity between the SSS local sequence and the compensated SSS signal is, that is, the higher the possibility of detecting the target cell corresponding to the SSS local sequence is.
S406, determining the SSS local sequence corresponding to the maximum value of the second correlation coefficient as the SSS sequence of the target cell.
The terminal device may obtain a maximum value of the plurality of second correlation coefficients, and then determine an SSS local sequence corresponding to the maximum value of the second correlation coefficients as an SSS sequence of the target cell.
And S408, determining cell information based on the PSS sequence and the SSS sequence.
On the basis of determining the PSS sequence and the SSS sequence of the target cell, the terminal device may obtain the cell ID of the target cell through decoding, and then determine the synchronization signal time domain position of the target cell according to the positions of the PSS signal and the SSS signal. Based on this, the terminal device may determine the cell identifier, the time offset value, the frequency offset value, and the time domain position of the synchronization signal of the target cell, and obtain the cell information of the target cell.
According to the cell detection method, the terminal equipment directly uses the time offset value and the frequency offset value of the PSS signal for the relevant detection of the SSS signal, so that the calculation complexity of the relevant detection of the SSS signal can be further reduced.
In one embodiment, as shown in fig. 7, a cell detection method is provided, including:
s502, reconstructing an interference synchronization signal corresponding to an interference cell;
s504, interference elimination is carried out on the interference synchronous signal in the received synchronous signal to obtain a first synchronous signal;
s506, performing frequency offset compensation on the first synchronous signal by adopting a preset frequency offset value to obtain a second synchronous signal;
s508, respectively adopting a plurality of time offset hypothesis values to perform time offset compensation on the second synchronous signal to obtain a third synchronous signal;
s510, respectively calculating first correlation coefficients of the third synchronization signal and a plurality of local sequences, and determining a time offset assumed value associated with the third synchronization signal corresponding to the maximum value of the first correlation coefficients as a time offset value of a target cell;
s512, determining a local sequence corresponding to the maximum value of the first correlation coefficient as a PSS sequence corresponding to a target cell;
s514, performing time offset compensation and frequency offset compensation on the SSS signals in the received signals by adopting a preset frequency offset value and a time offset value;
s516, calculating second correlation coefficients of a plurality of SSS local sequences corresponding to the compensated SSS signals and the PSS sequences;
s518, determining the SSS local sequence corresponding to the maximum value of the second correlation coefficient as an SSS sequence of the target cell;
and S520, determining cell information based on the PSS sequence and the SSS sequence.
The above cell detection method, the implementation principle and the technical effect thereof are referred to the above embodiments, and are not described herein again.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a cell detection apparatus for implementing the above-mentioned cell detection method. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the cell detection apparatus provided below may refer to the above limitations on the cell detection method, and details are not described herein again.
In one embodiment, as shown in fig. 8, there is provided a cell detection apparatus, including:
the compensation module 10 is configured to perform frequency offset compensation on the first synchronization signal by using a preset frequency offset value to obtain a second synchronization signal; presetting a frequency deviation value as a frequency deviation value corresponding to an interference cell searched by the terminal equipment;
the detecting module 20 is configured to perform correlation detection on the second synchronization signal by using multiple time offset hypothesis values, and determine a time offset value of a target cell to be detected;
a determining module 30, configured to determine cell information of the target cell according to a preset frequency offset value and a time offset value.
In an embodiment, on the basis of the above embodiment, as shown in fig. 9, the above apparatus further includes a removing module 40 for: reconstructing an interference synchronization signal corresponding to an interference cell; and carrying out interference elimination on the interference synchronous signal in the received synchronous signal to obtain a first synchronous signal.
In an embodiment, based on the above embodiment, the preset frequency offset value is a frequency offset value corresponding to an interfering cell with the largest signal strength.
In an embodiment, on the basis of the above embodiment, the detection module 20 is specifically configured to: respectively adopting a plurality of time offset hypothesis values to perform time offset compensation on the second synchronous signal to obtain a third synchronous signal; and respectively calculating first correlation coefficients of the third synchronization signal and the plurality of local sequences, and determining a time offset assumed value associated with the third synchronization signal corresponding to the maximum value of the first correlation coefficients as a time offset value of the target cell.
In an embodiment, on the basis of the above embodiment, the determining module 30 is specifically configured to: determining a local sequence corresponding to the maximum value of the first correlation coefficient as a target local sequence corresponding to a target cell; and determining cell information of the target cell according to the target local sequence.
In an embodiment, on the basis of the above embodiment, the first synchronization signal is a PSS signal, and the target local sequence is a PSS sequence corresponding to the target cell; the determining module 30 is specifically configured to: performing frequency offset compensation and time offset compensation on SSS signals in received signals by adopting a preset frequency offset value and a time offset value; calculating second correlation coefficients of a plurality of SSS local sequences corresponding to the compensated SSS signals and the PSS sequences; determining an SSS local sequence corresponding to the maximum value of the second correlation coefficient as an SSS sequence of the target cell; cell information is determined based on the PSS sequence and the SSS sequence.
In an embodiment, on the basis of the foregoing embodiment, the first synchronization signal is a frequency-domain signal, and the detection module 20 is specifically configured to: and performing frequency domain correlation detection on the second synchronous signal by adopting a plurality of time domain offset hypothesis values, and determining a time offset value of the target cell to be detected.
In one embodiment, on the basis of the above embodiments, the cell information includes a cell identifier of the target cell, a time offset value of the target cell, a frequency offset value of the target cell, and a synchronization signal time domain position of the target cell.
The implementation principle and technical effect of the cell detection device are referred to the method embodiments, and are not described herein.
The modules in the cell detection apparatus may be implemented wholly or partially by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a terminal device is provided, an internal structure of which may be as shown in fig. 10. The terminal device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input device. The processor, the memory and the input/output interface are connected by a system bus, and the communication interface, the display unit and the input device are connected by the input/output interface to the system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The input/output interface of the terminal device is used for exchanging information between the processor and an external device. The communication interface of the terminal device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a cell detection method.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The embodiment of the application also provides a computer readable storage medium. One or more non-transitory computer-readable storage media embodying computer-executable instructions which, when executed by one or more processors, cause the processors to perform the steps of a cell detection method.
Embodiments of the present application also provide a computer program product containing instructions that, when run on a computer, cause the computer to perform a cell detection method.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (12)
1. A method for cell detection, comprising:
performing frequency offset compensation on the first synchronous signal by adopting a preset frequency offset value to obtain a second synchronous signal; the preset frequency deviation value is a frequency deviation value corresponding to an interference cell searched by the terminal equipment;
performing correlation detection on the second synchronization signal by adopting a plurality of time offset hypothesis values, and determining a time offset value of a target cell to be detected;
and determining the cell information of the target cell according to the preset frequency deviation value and the time deviation value.
2. The method of claim 1, further comprising:
reconstructing an interference synchronization signal corresponding to an interference cell;
and carrying out interference elimination on the interference synchronous signal in the received synchronous signal to obtain the first synchronous signal.
3. The method of claim 2, wherein the predetermined frequency offset value is a frequency offset value corresponding to an interfering cell with the largest signal strength.
4. The method according to any one of claims 1 to 3, wherein the performing correlation detection on the second synchronization signal by using a plurality of time domain offset hypothesis values to determine a time offset value of a target cell to be detected comprises:
respectively adopting the plurality of time offset hypothesis values to perform time offset compensation on the second synchronous signal to obtain a third synchronous signal;
and respectively calculating first correlation coefficients of the third synchronization signal and a plurality of local sequences, and determining a time offset assumed value associated with the third synchronization signal corresponding to the maximum value of the first correlation coefficients as a time offset value of the target cell.
5. The method of claim 4, wherein the determining the cell information of the target cell according to the preset frequency offset value and the time offset value comprises:
determining a local sequence corresponding to the maximum value of the first correlation coefficient as a target local sequence corresponding to the target cell;
and determining the cell information of the target cell according to the target local sequence.
6. The method of claim 5, wherein the first synchronization signal is a PSS signal, and wherein the target local sequence is a PSS sequence corresponding to the target cell; the determining cell information of the target cell according to the target local sequence includes:
performing frequency offset compensation and time offset compensation on the SSS signals in the received signals by using the preset frequency offset value and the time offset value;
calculating second correlation coefficients of a plurality of SSS local sequences corresponding to the compensated SSS signals and the PSS sequence;
determining an SSS local sequence corresponding to the maximum value of a second correlation coefficient as an SSS sequence of the target cell;
determining the cell information based on the PSS sequence and the SSS sequence.
7. The method according to any one of claims 1 to 3, wherein the first synchronization signal is a frequency domain signal, and the determining the time offset value of the target cell to be detected by performing correlation detection on the second synchronization signal using a plurality of time offset hypothesis values comprises:
and performing frequency domain correlation detection on the second synchronization signal by adopting a plurality of time domain offset hypothesis values, and determining a time offset value of the target cell to be detected.
8. The method of any of claims 1-3, wherein the cell information comprises a cell identity of the target cell, a time offset value of the target cell, a frequency offset value of the target cell, and a synchronization signal time domain location of the target cell.
9. A cell detection apparatus, comprising:
the compensation module is used for carrying out frequency offset compensation on the first synchronous signal by adopting a preset frequency offset value to obtain a second synchronous signal; the preset frequency deviation value is a frequency deviation value corresponding to an interference cell searched by the terminal equipment;
the detection module is used for carrying out correlation detection on the second synchronization signal by adopting a plurality of time offset hypothesis values and determining a time offset value of a target cell to be detected;
a determining module, configured to determine cell information of the target cell according to the preset frequency offset value and the time offset value.
10. A terminal device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the computer program, when executed by the processor, causes the processor to perform the steps of the cell detection method according to any of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
12. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 8 when executed by a processor.
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