CN114095993A

CN114095993A - Method and device for detecting master synchronization sequence and readable storage medium

Info

Publication number: CN114095993A
Application number: CN202210062965.8A
Authority: CN
Inventors: 王志雄; 钱炜; 吕悦川; 吕小平
Original assignee: Beijing Zhilianan Technology Co ltd
Current assignee: Beijing Zhilianan Technology Co ltd
Priority date: 2022-01-20
Filing date: 2022-01-20
Publication date: 2022-02-25

Abstract

The disclosure relates to a method, a device and a readable storage medium for detecting a primary synchronization sequence, wherein the method comprises the following steps: determining a plurality of segmented related value groups according to the received signal and a local Primary Synchronization Sequence (PSS); and determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value groups. In the method disclosed by the disclosure, a plurality of segmented correlation value groups can be obtained through a segmentation processing means, the plurality of correlation value groups are respectively judged, and then a detection result is determined according to a peak value of each correlation value group. The method can increase the fineness of the peak value comparison process and reduce the influence of transmission attenuation caused by time selectivity on the communication performance.

Description

Method and device for detecting master synchronization sequence and readable storage medium

Technical Field

The present disclosure relates to the field of communications, and in particular, to a method and an apparatus for detecting a primary synchronization sequence, and a readable storage medium.

Background

In a wireless Communication system such as Long Term Evolution (LTE) or 5th Generation Mobile Communication Technology (5G), cell search is a precondition for a User Equipment (UE) to establish a Communication link with a network device such as a base station.

Cell search is a process of time and frequency synchronization of a UE with a cell and detecting a cell identity. After being started, the UE can reside in a proper cell through a cell initial search process. Meanwhile, the UE also needs to search for and detect a neighboring cell (neighboring cell) of the cell where the UE resides, so as to prepare for cell reselection and handover. In the process of searching and detecting the neighboring cells, the base station may transmit signals of a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS) including information of the neighboring cells to the UE.

When a UE receives a signal from a base station (hereinafter referred to as a received signal) during a cell search process, a first step is to detect a sequence of a primary synchronization signal (hereinafter referred to as a primary synchronization sequence PSS) in the received signal. Wherein, the primary synchronization signal has good autocorrelation and weaker cross correlation, and the type and position of the PSS in the received signal can be detected according to the characteristics of the primary synchronization signal, thereby obtaining the identifier in the physical layer cell group (b

) And coarse timing synchronization of OFDM symbols. And the detection result of the PSS is used as the basis of SSS detection, and the information of the cell is obtained according to the result of the SSS detection.

However, the communication channel between the UE and the base station may generate signal fading, and when the doppler of such a channel (called fading channel) is large, the time-selective fading is large. In the related art, there is also a lack of a PSS detection method that is effective against the time-selective fading problem.

Disclosure of Invention

In view of the above, the present disclosure provides a soft message processing method, apparatus and readable storage medium.

According to a first aspect of the embodiments of the present disclosure, a method for detecting a primary synchronization sequence is provided, where the method includes:

determining a plurality of segmented related value groups according to the received signal and a local Primary Synchronization Sequence (PSS);

and determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value groups.

In some embodiments, the determining the plurality of segmented correlation value sets according to the received signal and the local primary synchronization sequence PSS includes:

determining a cross-correlation value set of a received signal and a local Primary Synchronization Sequence (PSS);

and combining and segmenting the cross-correlation value set to obtain a plurality of correlation value sets.

segmenting the local main synchronization sequence PSS to obtain a plurality of sequence groups;

according to the sequence groups, the received signals are processed in a segmented mode to obtain a plurality of corresponding receiving groups;

and determining the related value group of each sequence group and the corresponding receiving group to obtain a plurality of related value groups.

In some embodiments, the determining a detection result of the primary synchronization sequence according to a peak of a correlation value in the plurality of correlation value sets includes:

and determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in each correlation value group and a preset threshold value.

In some embodiments, the method further comprises:

a mean value of the correlation values in each of the sets of correlation values is determined.

and determining the detection result of the primary synchronization sequence according to the peak value and the average value of each related value group.

In some embodiments, the determining a detection result of the primary synchronization sequence according to the peak value and the average value of each correlation value group includes:

in each of the set of correlation values, dividing the peak value by the mean value to obtain a target peak value in the set of correlation values;

and determining the detection result of the primary synchronization sequence according to the target peak value of each related value group.

According to a second aspect of the embodiments of the present disclosure, an apparatus for detecting a primary synchronization sequence is provided, the apparatus including:

a first determining module, configured to determine a plurality of segmented correlation value sets according to a received signal and a local primary synchronization sequence PSS;

and a second determining module, configured to determine a detection result of the primary synchronization sequence according to a peak value of a correlation value in the multiple correlation value groups.

According to a third aspect of the embodiments of the present disclosure, there is provided a communication apparatus including:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of detecting a primary synchronization sequence as described in any one of the above.

According to a fourth aspect of embodiments of the present disclosure, a non-transitory computer-readable storage medium is presented, in which instructions, when executed by a processor of a communication apparatus, enable the communication apparatus to perform the method of detecting a primary synchronization sequence as described in any one of the above.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

in the method disclosed by the disclosure, a plurality of segmented correlation value groups can be obtained through a segmentation processing means, the plurality of correlation value groups are respectively judged, and then a detection result is determined according to a peak value of each correlation value group. The method can increase the fineness of the peak value comparison process and reduce the influence of transmission attenuation caused by time selectivity on the communication performance.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

FIG. 1 is a flow chart illustrating a method according to an example embodiment.

Fig. 2 is a flow chart illustrating a method according to another exemplary embodiment.

Fig. 3 is a flow chart illustrating a method according to another exemplary embodiment.

Fig. 4 is a block diagram illustrating a communication device according to an example embodiment.

Fig. 5 is a block diagram illustrating a communication device according to another example embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.

In the related art, the PSS detection method may include the steps of:

and performing correlation operation on the received signal and a local primary synchronization sequence (local PSS) by adopting a cross-correlation algorithm to obtain a correlation operation result. Among them, there are 3 types of PSS in LTE or 5G, so 3 sets of correlation operation results can be obtained. Then selecting the maximum correlation value from the 3 groups of correlation operation results, and obtaining the maximum correlation value (correlation peak) according to the group and the position of the maximum correlation value

And coarse timing synchronization of OFDM symbols.

In the above-described method of the related art, the problem of time-selective fading cannot be countered.

In order to solve the problems in the related art, an embodiment of the present disclosure provides a method for detecting a primary synchronization sequence, where the method includes: determining a plurality of segmented related value groups according to the received signal and a local Primary Synchronization Sequence (PSS); and determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value groups. In the method disclosed by the disclosure, a plurality of segmented correlation value groups can be obtained through a segmentation processing means, the plurality of correlation value groups are respectively judged, and then a detection result is determined according to a peak value of each correlation value group. The method can increase the fineness of the peak value comparison process and reduce the influence of transmission attenuation caused by time selectivity on the communication performance.

In an exemplary embodiment, as shown in fig. 1, the method of the present embodiment may include the steps of:

s110, determining a plurality of segmented correlation value groups according to the received signal and the local primary synchronization sequence PSS.

And S120, determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value groups.

In step S110, the received signal may refer to a signal transmitted by the base station to the UE, and the PSS exists in the received signal every half frame (9600 sample points). Wherein, if the length of the primary synchronization sequence PSS is 128 bits (i.e. contains 128 sample points), the length of the received signal may be not less than 9600+128 sample points.

In this step, for a plurality of segmented related value groups, there may be two implementation manners:

for example, the correlation operation result between the received signal and the local PSS is segmented to obtain a plurality of correlation value sets. For another example, before the correlation operation, the local PSS and the received signal are segmented, and the correlation operation is performed on each segment, thereby obtaining a plurality of correlation value sets. See in particular the examples below.

In step S120, for a plurality of correlation value groups obtained by segmentation, a peak value in each group is obtained for each correlation value group, and the PSS detection result can be determined according to the peak value of each group. Wherein, the detection result may include:

and synchronizing with the coarse timing of OFDM to obtain the starting position of PSS in the received signal.

In this step, the detection result is determined according to the peak value in the plurality of correlation value sets, and there may be a plurality of implementation manners:

for example, the maximum peak value is selected from the plurality of peak values corresponding to the correlation value groups, and the detection result is determined using the maximum peak value. For another example, the mean and peak values corresponding to the correlation value sets are determined, and the peak value of each correlation value set is divided by the mean value before the correlation value sets are compared. See in particular the examples below.

It is understood that, since there are 3 types of PSS, but each type of PSS is processed in the same manner, the PSS types are not intentionally distinguished in the description process in the embodiment of the present disclosure. For example, for 3 types of PSS, each correlation result with the received signal is segmented; alternatively, each received signal is correlated in stages before being processed in stages. In addition, in the embodiment of the disclosure, a peak value (correlation peak) meeting a condition (such as a threshold) is selected from each correlation value group corresponding to 3 types, and a detection result is determined.

In an exemplary embodiment, as shown in fig. 2, the present embodiment is applicable to a scenario in which a correlation operation result is processed in a segmented manner.

The method of the embodiment may include the steps of:

s210, determining a cross-correlation value set of the received signal and the local PSS.

S220, combining and segmenting the cross-correlation value set to obtain a plurality of correlation value sets.

And S230, determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value groups.

Steps S210 to S220 correspond to the first implementation manner of step S110 in the embodiment shown in fig. 1, that is, the correlation operation result is segmented.

In step S210, a cross-correlation algorithm is used to perform correlation operation on the received signal and the local PSS, so as to obtain a correlation operation result, where the correlation operation result includes a set of cross-correlation values.

In step S220, the obtained cross-correlation value set is segmented. For example, the cross-correlation value set includes N correlation values, and the N correlation values can be divided into N correlation value sets, each including N/N correlation values.

Implementation of step S230 can be seen in step S120 in the example shown in fig. 1. Further, in the present embodiment, the implementation of step S230 may adopt any one of the following examples:

in a first example, step S230 may include the steps of:

s231, determining a detection result of the primary synchronization sequence according to the peak value of the correlation value in each correlation value group and a preset threshold value.

In this step, the preset threshold refers to a preset threshold. When the peak value of any correlation value group reaches (is greater than or equal to) a preset threshold value, the detection result can be determined according to the position of the peak value.

In a second example, step S230 may include the steps of:

and S232, determining the detection result of the primary synchronization sequence according to the peak value and the average value of each correlation value group. Step S232 may include the steps of:

s2321, in each correlation value group, the peak value is divided by the mean value to obtain a target peak value in the correlation value group.

In this step, for each correlation value group after the segmentation process, in each correlation value group, a mean value may be calculated from the correlation values in the group, and a peak in the group may be determined. The peak of the group is divided by the mean and is taken as the target peak of the group.

S2322, determining the detection result of the primary synchronization sequence according to the target peak value of each related value group.

In this step, after the corresponding target peak is obtained for each correlation value group, the correlation value groups may be compared among the target peaks to determine the maximum peak. And (4) carrying out threshold judgment on the maximum peak value, namely determining a detection result according to the maximum peak value if the maximum peak value reaches a preset threshold value.

In this example, before this step S230, the following steps are further included:

s2200, determining the average value of the correlation values in each correlation value group. In this step, the mean value of each group of related values can be calculated and determined separately. When calculating the average value in a related value group, the average value can be calculated after removing a plurality of larger values, so that the error of the average value is reduced.

It is understood that this example can be taken as a preferred example in the present disclosure, that is, after the correlation operation result is segmented, the target peak values obtained by dividing the peak value of each correlation value group by the average value are compared, and then the detection result is determined according to the maximum peak value.

When the doppler frequency offset is too large, the transmission attenuation of the received signal changes drastically with time, and after the correlation with the local PSS, the correlation result is also affected by the time-varying channel. The peak value of each section is divided by the mean value through the sectional processing, so that the peak value difference of each section is reduced, the influence of time selective fading on the PSS detection performance caused by overlarge Doppler frequency offset can be reduced, and the detection of a plurality of cells is facilitated.

In other examples, step S230 may further include the steps of:

and S233, determining the detection result of the primary synchronization sequence according to the peak value, the noise bottom and the preset threshold of the correlation value in each correlation value group. In the step, the noise bottom of the peak value is considered, and then whether the peak value of each group reaches a preset threshold value is judged. And the peak value reaching the preset threshold value is used for determining the detection result.

In an exemplary embodiment, as shown in fig. 3, the present embodiment is applicable to a scenario in which a correlation operation result is processed in a segmented manner.

The method of the embodiment may include the steps of:

s310, segmenting the local PSS to obtain a plurality of sequence groups.

And S320, segmenting the received signals according to the sequence groups to obtain a plurality of corresponding receiving groups.

S330, determining the related value group of each sequence group and the corresponding receiving group to obtain a plurality of related value groups.

And S340, determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value groups.

Steps S310 to S330 correspond to the second implementation manner of step S110 in the embodiment shown in fig. 1, that is, after the received signal and the local PSS are segmented, the correlation operation result of the segments is obtained.

In step S310, the PSS may be segmented averagely according to the total number of sample points of the PSS, so as to obtain a plurality of sequence groups. The number of sequence groups can be set according to requirements, and the sequence groups are divided into 2, 3 or 4 groups. For example, the PSS is 128 bits long and can be equally divided into 3 sequence groups (the extra sample points can be discarded).

In step S320, a portion of the received signal corresponding to the PSS is segmented in the same manner as the PSS segment, and a plurality of reception groups are obtained. For example, the PSS is divided into 3 sequence groups, and 128 sample points corresponding to the PSS are received, or 3 reception groups are received.

In step S330, each sequence group and the corresponding receiving group are correlated to obtain a corresponding correlated group, so that the correlated group corresponding to each sequence group can be obtained.

Implementation of step S340 can be seen in step S120 in the example shown in fig. 1. Further, in the present embodiment, the implementation of step S340 may adopt any one of the following examples:

in a first example, step S340 includes the steps of:

and S341, determining a detection result of the primary synchronization sequence according to the peak value of the correlation value in each correlation value group and a preset threshold value.

In a second example, step S340 includes the steps of:

and S342, determining the detection result of the primary synchronization sequence according to the peak value and the average value of each correlation value group.

In other examples, step S340 may further include the steps of:

and S343, determining the detection result of the primary synchronization sequence according to the peak value, the noise floor and the preset threshold of the correlation values in the correlation value groups.

For specific implementation of the example included in the step S340, reference may be made to the foregoing embodiment, which is not described herein again.

With reference to the above three embodiments and examples included therein, the embodiments of the present disclosure may adopt two segmentation methods in the PSS detection process: namely, the correlation operation result is segmented, or the correlation operation is carried out after the signal is segmented. After segmentation, threshold judgment is carried out by utilizing the peak value of each related value group or the target peak value obtained by dividing the peak value by the mean value, the detection result is determined for the position of the peak value (related peak) reaching the preset threshold value, and the influence of time selective fading on the detection performance of the PSS caused by overlarge Doppler frequency offset is effectively reduced.

Based on the same concept as the above method embodiments, the embodiments of the present disclosure also provide a communication device, which can be used to execute the method steps provided by the above method embodiments. The function can be realized by hardware, and can also be realized by software or hardware to execute corresponding software. The hardware or software includes one or more modules corresponding to the functions described above.

In an exemplary embodiment, the communication apparatus 400 shown in fig. 4 includes: a first determination module 410 and a second determination module 420. The first determining module 410 is configured to determine a plurality of segmented correlation value sets according to the received signal and the local primary synchronization sequence PSS. The second determining module 420 is configured to determine a detection result of the primary synchronization sequence according to a peak value of a correlation value in the plurality of correlation value sets.

When the communication device is a user equipment, the structure thereof can also be as shown in fig. 5. The apparatus 500 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.

Referring to fig. 5, the apparatus 500 may include one or more of the following components: processing component 502, memory 504, power component 506, multimedia component 508, audio component 510, input/output (I/O) interface 512, sensor component 514, and communication component 516.

The processing component 502 generally controls overall operation of the device 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 502 may include one or more processors 520 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interaction between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.

The memory 504 is configured to store various types of data to support operation at the device 500. Examples of such data include instructions for any application or method operating on device 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 506 provides power to the various components of the device 500. The power components 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 500.

The multimedia component 508 includes a screen that provides an output interface between the device 500 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 500 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 510 is configured to output and/or input audio signals. For example, audio component 510 includes a Microphone (MIC) configured to receive external audio signals when apparatus 500 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 504 or transmitted via the communication component 516. In some embodiments, audio component 510 further includes a speaker for outputting audio signals.

The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 514 includes one or more sensors for providing various aspects of status assessment for the device 500. For example, the sensor assembly 514 may detect an open/closed state of the device 500, the relative positioning of the components, such as a display and keypad of the apparatus 500, the sensor assembly 514 may also detect a change in the position of the apparatus 500 or a component of the apparatus 500, the presence or absence of user contact with the apparatus 500, orientation or acceleration/deceleration of the apparatus 500, and a change in the temperature of the apparatus 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 516 is configured to facilitate communication between the apparatus 500 and other devices in a wired or wireless manner. The apparatus 500 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 516 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 504 comprising instructions, executable by the processor 520 of the apparatus 500 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims

1. A method for detecting a primary synchronization sequence, the method comprising:

2. The method of claim 1, wherein determining the plurality of segmented correlation value sets according to the received signal and the local Primary Synchronization Sequence (PSS) comprises:

3. The method of claim 1, wherein determining the plurality of segmented correlation value sets according to the received signal and the local Primary Synchronization Sequence (PSS) comprises:

4. The method according to claim 2 or 3, wherein said determining the detection result of the primary synchronization sequence according to the peak value of the correlation value in the plurality of correlation value sets comprises:

5. A method according to claim 2 or 3, characterized in that the method further comprises:

6. The method of claim 5, wherein determining the detection result of the primary synchronization sequence according to a peak of a correlation value in the plurality of correlation value sets comprises:

7. The method of claim 6, wherein determining the detection result of the primary synchronization sequence according to the peak value and the mean value of each of the correlation value sets comprises:

8. An apparatus for detecting a primary synchronization sequence, the apparatus comprising:

9. A communications apparatus, comprising:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of detecting a primary synchronization sequence according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of a communication apparatus, enable the communication apparatus to perform the method of detecting a primary synchronization sequence of any one of claims 1 to 7.