CN114257481A

CN114257481A - Time slot synchronization detection method, equipment, device and storage medium

Info

Publication number: CN114257481A
Application number: CN202011017396.2A
Authority: CN
Inventors: 王少峰
Original assignee: Datang Linktester Technology Co ltd
Current assignee: Datang Linktester Technology Co ltd
Priority date: 2020-09-24
Filing date: 2020-09-24
Publication date: 2022-03-29
Anticipated expiration: 2040-09-24
Also published as: CN114257481B

Abstract

The embodiment of the application provides a time slot synchronization detection method, a device and a storage medium, wherein the method comprises the following steps: acquiring target data of an FDD signal in a wireless frame, performing sliding correlation calculation based on a Cyclic Prefix (CP), and determining the initial position of each symbol of a target time slot; carrying out frequency offset estimation and compensation on target data to obtain data after frequency offset estimation and compensation; performing DMRS extraction on the data after frequency offset estimation and compensation based on the initial position of each symbol of the target time slot to obtain pilot symbol data, and converting the pilot symbol data to a frequency domain to obtain frequency domain pilot symbol data; and performing correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining the initial position and the time slot number of the target time slot. The embodiment of the application can accurately and quickly realize the synchronization of the 5G NR FDD signal.

Description

Time slot synchronization detection method, equipment, device and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method, a device, and an apparatus for detecting timeslot synchronization, and a storage medium.

Background

Currently 5G (the 5)^thgeneration, fifth generation communication technology) NR (New Radio, New air interface) FDD (frequency-division duplexing) signal slot start position and slot number detection methods are mainly classified into the following two types according to different signal types, and when a Discrete Fourier Transform (DFT) waveform is turned off and a group hopping (packet frequency hopping) and a sequence hopping (sequence frequency hopping) are turned off, a generally adopted method is to use adjacent DMRS (Demodulation reference signal) symbol sequencesAnd performing sliding self-correlation on the columns, and determining the position of the DMRS symbol according to the position of the DMRS symbol in the time slot and the peak value of the correlation value, so as to obtain the position of the time slot head and finish time slot synchronization. And secondly, for a CP (Cyclic Prefix) waveform, performing sliding cross correlation on a received signal time domain DMRS symbol sequence and a local time domain DMRS symbol sequence, summing after obtaining a result of conjugate multiplication, performing modular squaring on the summed result as a decision quantity, and judging the position of the DMRS symbol sequence by searching the peak position of a correlation value so as to obtain the initial position of a time slot.

The scheme has the following problems that the received signal time domain DMRS symbol and the local DMRS symbol are mutually correlated, the correlation effect is greatly different due to different numbers of the received signal frequency domain effective PRBs (Physical Resource blocks), the correlation peak value is more obvious when the number of the received signal frequency domain effective PRBs is more, and the correlation peak value is not obvious when the number of the received signal frequency domain effective PRBs is less, for example, when the number of the received signal frequency domain effective PRBs is 1rb, the correlation peak value is difficult to find by adopting the existing method, and the existing method needs to set a judgment threshold when the correlation value judgment is carried out, so that the false detection is easy to occur, the threshold change flexibility is poor, and the 5G NR FDD signal is slow and inaccurate in synchronization.

Disclosure of Invention

The embodiment of the application provides a time slot synchronization detection method, a device and a storage medium, which are used for solving the defects that the existing 5G NR FDD signal time slot starting position and time slot number detection method is easily influenced by the effective PRB number of a received signal frequency domain, the peak value of a correlation value is difficult to find, and false detection exists, and can accurately and quickly realize the synchronization of a 5G NR FDD signal.

In a first aspect, an embodiment of the present application provides a timeslot synchronization detection method, including:

receiving a Frequency Division Duplex (FDD) signal, acquiring target data based on the FDD signal, performing sliding correlation calculation based on a Cyclic Prefix (CP) on the target data, and determining the initial position of each symbol of a target time slot;

performing frequency offset estimation and compensation on the target data to obtain frequency offset estimated and compensated data;

taking the initial position of each symbol of the target time slot as an assumed time slot initial position, performing demodulation reference signal (DMRS) symbol data extraction on the data after frequency offset estimation and compensation to obtain pilot symbol data corresponding to the initial position of each symbol, and transforming the pilot symbol data to a frequency domain to obtain frequency domain pilot symbol data;

and carrying out correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining the initial position and the time slot number of the target time slot based on the plurality of DMRS correlation values.

Optionally, according to the timeslot synchronization detection method of an embodiment of the present application, the acquiring target data based on the FDD signal, performing sliding correlation calculation based on a cyclic prefix CP on the target data, and determining a start position of each symbol of a target timeslot includes:

acquiring target data based on the FDD signal, wherein the length of the target data is 1slot + fft _ length + CP _2-1, wherein 1slot is the length of a time slot, fft _ length is the length of a data part of a symbol, and CP _2 is the length of a CP part of a second symbol of the time slot;

acquiring CP data corresponding to each symbol in the target data and data corresponding to the CP data at the symbol tail;

performing sliding correlation calculation on the CP data and the data corresponding to the CP data at the symbol tail to obtain a CP correlation value corresponding to each sliding data point;

accumulating the CP related values of all symbols corresponding to each sliding data point based on the CP related value corresponding to each sliding data point to obtain the accumulated sum of the CP related values of all symbols corresponding to each sliding data point;

calculating the energy of the CP correlation value corresponding to each sliding data point according to the accumulated sum of the CP correlation values of each symbol corresponding to each sliding data point;

and determining the peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and taking the peak position as the initial position of each symbol.

Optionally, according to the timeslot synchronization detection method according to an embodiment of the present application, determining a peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and taking the peak position as a start position of each symbol includes:

determining a starting position searching range of a first symbol of the target time slot, determining a maximum value in CP (content provider) correlation value energy of the first symbol in the starting position searching range of the first symbol, and taking a data point position corresponding to the maximum value as a starting position of the first symbol;

performing the following steps for each of the second to Mth symbols of the target slot: determining an initial position search range of a current symbol based on an initial position of a previous symbol of the current symbol, determining a maximum value in CP (content provider) correlation value energy of the current symbol within the initial position search range of the current symbol, and taking a data point position corresponding to the maximum value as the initial position of the current symbol;

where M is the number of symbols included in one slot.

Optionally, according to the time slot synchronization detection method in an embodiment of the present application, the determining a starting position search range of a first symbol of the target time slot specifically includes:

determining a starting position search range of a first symbol of the target time slot by using formula one:

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

Wherein sym _ hd _ range is an initial position search range, and a is a coefficient;

the determining the starting position search range of the current symbol based on the starting position of the previous symbol of the current symbol specifically includes:

determining the starting position search range of the current symbol by using a formula two based on the starting position of the previous symbol of the current symbol:

start＝maxposit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

Wherein start is the lower boundary of the starting position search range, end is the upper boundary of the starting position search range, maxposit _ sym (ii-1) is the starting position of the previous symbol of the current symbol, ii is the index of the current symbol, and ii is 2: M.

Optionally, according to the method for detecting slot synchronization of an embodiment of the present application, taking the starting position of each symbol of the target slot as an assumed starting position of the slot, extracting demodulation reference signal DMRS symbol data from the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol, includes:

determining the initial position of the pilot frequency symbol data based on the initial position of each symbol of the target time slot;

determining the ending position of the pilot symbol data according to the starting position of the pilot symbol data;

and extracting data from the starting position to the ending position from the frequency offset estimation and compensated data as the pilot symbol data.

Optionally, according to a slot synchronization detection method of an embodiment of the present application, the determining a starting position of the pilot symbol data based on a starting position of each symbol of the target slot specifically includes:

determining the starting position of the pilot symbol data by using a formula three based on the starting position of each symbol of the target time slot:

determining an ending position of the pilot symbol data according to the starting position of the pilot symbol data, specifically:

determining the ending position of the pilot symbol data by using a formula IV according to the starting position of the pilot symbol data:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

Where dmrs _ sym _ pre is a start position of the pilot symbol data, maxposit _ sym (ii) is a start position of each symbol of the target timeslot, ii is 1: M, M is the number of symbols included in one timeslot, dmrspost (1) is a matrix for indicating a position of the dmrs symbol in the timeslot, fft _ length is a data part length of one symbol of the timeslot, CP _2 is a CP part length of a second symbol of the timeslot, CP _1 is a CP part length of a first symbol of the timeslot, and dmrs _ sym _ post is an end position of the pilot symbol data.

Optionally, according to a method for detecting slot synchronization in an embodiment of the present application, the performing correlation calculation on the frequency-domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining a starting position and a slot number of the target slot based on the plurality of DMRS correlation values includes:

performing conjugate point multiplication on the frequency domain pilot symbol data and the local DMRS symbol data to obtain N groups of point multiplication results;

transforming each group of point multiplication results to a time domain through inverse discrete Fourier transform, and solving time domain channel impact response power to obtain N groups of DMRS correlation values corresponding to the initial positions of the symbols;

obtaining the maximum value of the N groups of DMRS correlation values, and obtaining a DMRS correlation value peak value corresponding to the initial position of each symbol;

determining the maximum value in the DMRS correlation value peak values corresponding to the initial positions of the symbols, and determining the initial position and the time slot number of the target time slot according to the maximum value;

wherein, N is the number of slots contained in one radio frame.

In a second aspect, an embodiment of the present application provides a receiving-end device, including a memory, a transceiver, and a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

Optionally, according to the receiving end device in an embodiment of the present application, the obtaining target data based on the FDD signal, performing sliding correlation calculation based on a cyclic prefix CP on the target data, and determining a start position of each symbol of a target timeslot includes:

Optionally, according to the receiving end device in an embodiment of the present application, determining a peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and taking the peak position as an initial position of each symbol includes:

where M is the number of symbols included in one slot.

Optionally, according to the receiving end device in an embodiment of the present application, the determining the starting position search range of the first symbol of the target timeslot specifically includes:

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

start＝maxposit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

Optionally, according to the receiving end device in an embodiment of the present application, taking the starting position of each symbol of the target timeslot as an assumed starting position of the timeslot, extracting demodulation reference signal DMRS symbol data from the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol, where the method includes:

Optionally, according to the receiving end device in an embodiment of the present application, the determining the starting position of the pilot symbol data based on the starting position of each symbol of the target timeslot specifically includes:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

Optionally, according to the receiving end device in an embodiment of the present application, the performing correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining a starting position and a slot number of the target slot based on the plurality of DMRS correlation values includes:

wherein, N is the number of slots contained in one radio frame.

In a third aspect, an embodiment of the present application provides a timeslot synchronization detection apparatus, including:

a symbol head detection unit, configured to receive a frequency division duplex FDD signal, obtain target data based on the FDD signal, perform sliding correlation calculation based on a cyclic prefix CP on the target data, and determine an initial position of each symbol of a target timeslot;

the frequency offset compensation unit is used for carrying out frequency offset estimation and compensation on the target data to obtain data after the frequency offset estimation and compensation;

a pilot symbol data extraction unit, configured to use an initial position of each symbol of the target time slot as a hypothetical time slot initial position, perform demodulation reference signal DMRS symbol data extraction on the data after the frequency offset estimation and compensation, obtain pilot symbol data corresponding to the initial position of each symbol, and transform the pilot symbol data to a frequency domain to obtain frequency domain pilot symbol data;

and the time slot position determining unit is used for carrying out correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining the initial position and the time slot number of the target time slot based on the plurality of DMRS correlation values.

In a fourth aspect, an embodiment of the present application provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, and the computer program is configured to cause the processor to execute the timeslot synchronization detection method provided in the first aspect.

The time slot synchronous detection method, the time slot synchronous detection equipment, the time slot synchronous detection device and the storage medium are suitable for 5G NR FDD signals with different effective PRB numbers, the detection of the time slot starting position of the 5G NR FDD signals is realized, the time slot number is judged without introducing extra operation, the symbol starting position is found through sliding correlation calculation based on cyclic prefix, then pilot frequency symbol data is obtained, correlation calculation is carried out on the pilot frequency symbol data and local DMRS symbol data, and the synchronization of the 5G NR FDD signals can be accurately and quickly realized.

Drawings

In order to more clearly illustrate the embodiments of the present invention 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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

Fig. 1 is a schematic flowchart of a timeslot synchronization detection method according to an embodiment of the present application;

FIG. 2 is a schematic flow chart illustrating step 100 of FIG. 1 according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a receiving end device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a timeslot synchronization detection apparatus according to an embodiment of the present application.

Detailed Description

In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.

It is noted that, in the present application, words such as "exemplary" or "for example" are used to mean exemplary, illustrative, or descriptive. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

At present, the existing 5G NR FDD signal time slot starting position and time slot number detection method is easily influenced by the effective PRB number of a received signal frequency domain, is difficult to find a correlation value peak value and has the defect of false detection, and the 5G NR FDD signal is slow and inaccurate in synchronization. In order to solve the problem, embodiments of the present application provide a timeslot synchronization detection method, device, apparatus, and storage medium, so as to accurately and quickly implement synchronization of a 5G NR FDD signal.

It can be understood that an execution main body of the timeslot synchronization detection method provided in the embodiment of the present application is a receiving end device, which may be a terminal device, or a network device.

The terminal device referred to in the embodiments of the present application may refer to a device providing voice and/or data connectivity to a user, a handheld device having a wireless connection function, or another processing device connected to a wireless modem. In different systems, the names of the terminal devices may be different, for example, in a 5G system, the terminal device may be called a User Equipment (UE). A wireless terminal device, which may be a mobile terminal device such as a mobile telephone (or "cellular" telephone) and a computer having a mobile terminal device, for example, a portable, pocket, hand-held, computer-included, or vehicle-mounted mobile device, may communicate with one or more Core Networks (CNs) via a Radio Access Network (RAN). Examples of such devices include Personal Communication Service (PCS) phones, cordless phones, Session Initiation Protocol (SIP) phones, Wireless Local Loop (WLL) stations, and Personal Digital Assistants (PDAs). The wireless terminal device may also be referred to as a system, a subscriber unit (subscriber unit), a subscriber station (subscriber station), a mobile station (mobile), a remote station (remote station), an access point (access point), a remote terminal device (remote terminal), an access terminal device (access terminal), a user terminal device (user terminal), a user agent (user agent), and a user device (user device), which are not limited in this embodiment of the present application.

The network device according to the embodiment of the present application may be a base station, and the base station may include a plurality of cells for providing services to a terminal. A base station may also be referred to as an access point, or a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or by other names, depending on the particular application. The network device may be configured to exchange received air frames with Internet Protocol (IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiment of the present application may be a Base Transceiver Station (BTS) in a Global System for Mobile communications (GSM) or a Code Division Multiple Access (CDMA), may be a network device (NodeB) in a Wideband Code Division Multiple Access (WCDMA), may be an evolved Node B (eNB or e-NodeB) in a Long Term Evolution (LTE) System, may be a 5G Base Station (gbb) in a 5G network architecture (next evolution System), may be a Home evolved Node B (HeNB), a relay Node (relay Node), a Home Base Station (femto), a pico Base Station (pico Base Station), and the like, which are not limited in the embodiments of the present application. In some network architectures, a network device may include a Centralized Unit (CU) node and a Distributed Unit (DU) node, which may also be geographically separated.

The technical scheme provided by the embodiment of the application can be suitable for various systems, particularly 5G systems. For example, the applicable system may be a global system for mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, a Wideband Code Division Multiple Access (WCDMA) General Packet Radio Service (GPRS) system, a long term evolution (long term evolution, LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, an LTE-a (long term evolution) system, a universal mobile system (universal mobile telecommunications system, UMTS), a Worldwide Interoperability for Mobile Access (WiMAX) system, a New Radio network (NR 5) system, etc. These various systems include terminal devices and network devices. The System may further include a core network portion, such as an Evolved Packet System (EPS), a 5G System (5GS), and the like.

Fig. 1 is a schematic flowchart of a timeslot synchronization detection method according to an embodiment of the present application, and as shown in fig. 1, the timeslot synchronization detection method includes the following steps:

step 100, receiving a Frequency Division Duplex (FDD) signal, acquiring target data based on the FDD signal, performing sliding correlation calculation based on a Cyclic Prefix (CP) on the target data, and determining the initial position of each symbol of a target time slot;

the time slot synchronous detection method provided by the embodiment of the invention aims at 5G NR FDD signals. According to the 3GPP protocol, FDD signals are characterized by the presence of valid data in each time slot. Since the user data is distributed in all the slots, the slot start position of the signal cannot be simply obtained by the signal power at the time of measurement. For this reason, for an FDD signal, the present embodiment first determines the start position of each symbol included in one slot length data.

The 5G NR frame structure will be described first.

The 5G NR supports multiple subcarrier spacings, but the length of radio frames and subframes is the same for different subcarrier spacing configurations. One radio frame is 10ms long and a subframe is 1ms long.

The slot length in each sub-frame may vary from sub-carrier spacing to sub-carrier spacing, and generally the slot length decreases as the sub-carrier spacing increases. Therefore, the number of slots included in each subframe is different. In the case of a normal Cyclic Prefix (CP), each slot contains the same number of symbols, and is 14 in number.

For example, when the subcarrier spacing is configured as 15Khz (normal CP), 1 radio frame includes 10 subframes, each subframe has only 1slot, so that the radio frame includes 10 slots, that is, the sequence number of the subframe is the same as that of the slot, the subframe and the slot can be replaced with each other, and each slot includes 14 OFDM (Orthogonal Frequency Division Multiplexing) symbols.

For another example, when the subcarrier spacing is configured to be 30Khz (normal CP), 1 radio frame includes 10 subframes, each having only 2 slots, so that the radio frame includes 20 slots, each including 14 OFDM symbols.

In the embodiment of the present application, it is noted that one radio frame includes N slots, and one slot includes M symbols. Wherein, the values of N and M are determined according to the subcarrier spacing. For the sake of simplicity, the symbols in this application all refer to OFDM symbols.

Each symbol is composed of a CP part and a data part, and when the subcarrier spacing is configured to be 30Khz, the length of one slot is 61440 data points, wherein the length of the cyclic prefix of the first symbol of the slot is 352 data points, that is, CP _1 is 352, the length of the cyclic prefix of the second symbol to the fourteenth symbol of the slot is CP _2 is 288, and the length of the data part of each symbol is fft _ length is 4096.

The receiving end device obtains data with a certain length based on the received FDD signal, and performs sliding correlation calculation based on the cyclic prefix CP, and it can be understood that the data with a certain length is target data, the target data is data required for obtaining an initial time slot initial position, and a time slot corresponding to the target data is taken as a target time slot, and at this time, the time slot initial position and the time slot number of the target time slot are unknown.

Considering that the effective amplitude of time domain data is very low when the frequency domain effective PRB number of the received FDD signal is 1rb, in the embodiment of the present application, a CP correlation method based on symbols is used to determine the starting position of each symbol, which may also be referred to as a symbol header position.

And determining the starting position of each symbol of the target time slot by performing sliding correlation calculation based on a Cyclic Prefix (CP) on the target data, wherein the CP-based sliding correlation calculation is performed by using CP partial data of each symbol included in the target time slot.

In order to facilitate the CP-based sliding correlation calculation, the target data is recorded as data _ time, and in an embodiment, the length of the target data _ time is 1slot + fft _ length + CP _2-1, where 1slot is the length of one slot, fft _ length is the length of a data portion of one symbol of the slot, and CP _2 is the length of a CP portion of a second symbol of the slot.

One slot contains M symbols, and the starting positions of the M symbols can be obtained by performing cyclic prefix CP-based sliding correlation calculation on the target data.

Step 101, performing frequency offset estimation and compensation on the target data to obtain frequency offset estimated and compensated data;

specifically, considering that the time domain data may have frequency offset, which may affect the performance of subsequent processing, after determining the start position of each symbol, frequency offset estimation and compensation are performed on the target data, i.e., data _ time, to obtain data _ time _1 after frequency offset estimation and compensation. The embodiments of the present application do not limit the frequency offset estimation and compensation method.

Step 102, taking the initial position of each symbol of the target time slot as an assumed initial position of the time slot, extracting demodulation reference signal DMRS symbol data from the data after the frequency offset estimation and compensation to obtain pilot symbol data corresponding to each symbol, and transforming the pilot symbol data corresponding to each symbol to a frequency domain to obtain frequency domain pilot symbol data corresponding to each symbol;

specifically, the starting positions of M symbols, which are all likely to be the starting positions of time slots, have been determined in step 100, so that M DMRS symbol data DMRS _ data _ time, which is also referred to as pilot symbol data, can be found according to the M possible starting positions of time slots, and then frequency domain correlation calculation is performed by using the M pilot symbol data and the local DMRS symbol data dmrsfreq _ local of N time slots. Wherein, N is the number of time slots contained in one radio frame.

However, before performing the frequency domain correlation calculation, the pilot symbol data corresponding to each symbol needs to be transformed to the frequency domain to obtain the frequency domain pilot symbol data dmrs _ data _ fre corresponding to each symbol:

dmrs_data_fre＝fftshift(fft(dmrs_data_time))。

step 103, performing correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining an initial position and a slot number of the target slot based on the plurality of DMRS correlation values.

Specifically, the frequency domain pilot symbol data DMRS _ data _ fre and the local DMRS symbol data dmrsfreq _ local generated according to the protocol are subjected to correlation calculation, where the correlation calculation refers to a manner of multiplying a frequency domain conjugate point and then transforming the frequency domain conjugate point to a time domain to obtain time domain channel impulse response power, so as to obtain a plurality of DMRS correlation values CIRpower corresponding to the start position of each symbol, and then determining a DMRS correlation value peak value cir (ii, slot) corresponding to the start position of each symbol, where ii is 1: M and slot is 1: N, and finding a maximum value among all DMRS correlation value peaks, where the start position indicated by the symbol ii corresponding to the maximum value is the start position of the target time slot, and the slot number slotid corresponding to the maximum value is a slot number of a slot in which the pilot symbol data DMRS _ data _ time is located, that is the slot number of the target time slot.

The time slot synchronous detection method provided by the embodiment of the application is suitable for 5G NR FDD signals with different effective PRB numbers, the detection of the time slot number is realized while the detection of the time slot starting position of the 5G NR FDD signal is realized, the judgment of the time slot number is carried out without introducing extra operation, the symbol starting position is found through sliding correlation calculation based on cyclic prefix, then pilot frequency symbol data is obtained, correlation calculation is carried out with local DMRS symbol data, and the synchronization of the 5G NR FDD signal can be accurately and quickly realized.

Based on the foregoing embodiment, as shown in fig. 2, in step 100, obtaining target data based on the FDD signal, performing sliding correlation calculation based on a cyclic prefix CP on the target data, and determining a start position of each symbol of a target timeslot, where the method includes:

step 200, based on the FDD signal, obtaining target data, where the length of the target data is 1slot + fft _ length + CP _2-1, where 1slot is the length of one timeslot, fft _ length is the length of the data portion of one symbol, and CP _2 is the length of the CP portion of the second symbol of the timeslot;

specifically, considering that the effective amplitude of the time domain data is very low under the condition of 1RB, in the embodiment of the present application, a CP correlation method based on a symbol is adopted to determine the starting position of each symbol, and in order to facilitate the CP-based sliding correlation calculation, data with a length of 1slot + fft _ length + CP _2-1 is obtained from the received FDD signal and is used as target data.

For example, the frame structure when the subcarrier spacing is configured as 30Khz (normal CP) is described below, where when the subcarrier spacing is configured as 30Khz (normal CP), 1 radio frame includes 20 slots, i.e., N is 20, each slot includes 14 OFDM symbols, i.e., M is 14, and the length of one slot is 61440 data points, where the cyclic prefix of the first symbol of the slot has a length of 352 data points, i.e., CP _1 is 352, the cyclic prefixes of the second symbol to the fourteenth symbol of the slot have a length of CP _2 is 288, and the data portion length of each symbol is fft _ length h is 4096. At this time, the length of the target data is 61440+4096+288-1 ═ 65823 data points.

Step 201, acquiring CP data corresponding to each symbol in the target data and data corresponding to the CP data at the symbol end;

specifically, CP data symbol _ pre corresponding to each symbol in target data is obtained, and data symbol _ post corresponding to the CP data at the end of the symbol is obtained, wherein symbol _ pre + fft _ length.

Step 202, performing sliding correlation calculation on the CP data and the data corresponding to the CP data at the symbol end to obtain a CP correlation value corresponding to each sliding data point;

specifically, the CP data and the data corresponding to the CP data at the symbol end are subjected to sliding correlation calculation:

fori＝1:Q

corr_cp＝data_time(i+symbol_pre)*(data_time(i+symbol_post))^H；

end

it should be noted that, the sliding length is Q, that is, the length of one slot, and when the subcarrier spacing is configured to be 30Khz, Q is 61440, and for convenience of understanding, it is directly described below that 61440 is substituted for Q.

Step 203, accumulating the CP correlation values of the symbols corresponding to each sliding data point based on the CP correlation values corresponding to each sliding data point to obtain the accumulated sum of the CP correlation values of the symbols corresponding to each sliding data point;

specifically, the CP correlation values corresponding to each sliding data point in the target timeslot are respectively accumulated according to symbols, that is, the CP correlation value of the first symbol corresponding to each sliding data point is accumulated to the CP correlation value of the mth symbol corresponding to each sliding data point, so as to obtain an accumulated sum _ corr _ CP (i), where i is 1:61440, and finally 61440 accumulated sums can be obtained.

Step 204, calculating the energy of the CP correlation value corresponding to each sliding data point according to the accumulated sum of the CP correlation values of each symbol corresponding to each sliding data point;

specifically, the formula for obtaining the energy of the correlation value is as follows:

corr_cp_power(i)＝|sum_corr_cp(i)|²wherein i is 1: 61440;

step 205, determining a peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and using the peak position as an initial position of each symbol.

Specifically, according to the CP correlation value energy corr _ CP _ power (i) corresponding to each sliding data point, the peak position of the CP correlation value energy is determined, and M peak positions can be found through calculation, that is, the start position of each symbol is obtained.

In an embodiment, the step 205 determines a peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and takes the peak position as a start position of each symbol, including:

where M is the number of symbols included in one slot.

Specifically, a starting position search range sym _ hd _ range of a first symbol of the target timeslot is determined, a maximum value of CP correlation value energies of the first symbol is determined within the starting position search range of the first symbol, where ii denotes an index of a current symbol, and ii is equal to 1, and a maximum value of CP correlation value energies corr _ CP _ power (sym _ hd _ range) of the first symbol is determined according to the following formula:

[～,maxposit_sym(ii)]＝max(corr_cp_power(sym_hd_range))；

the maximum value of the CP correlation value energy of the first symbol, i.e., the CP correlation value peak maxposit _ sym (ii) of the first symbol, and the CP correlation value peak position of the first symbol, i.e., the starting position of the first symbol.

In an embodiment, the determining the starting position search range of the first symbol of the target timeslot specifically includes:

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

Wherein sym _ hd _ range is a starting position search range, and a is a coefficient.

Then, the starting position of the second symbol to the Mth symbol of the target time slot is determined. Performing the following steps for each of the second to Mth symbols of the target slot:

determining a starting position search range sym _ hd _ range of a current symbol based on a starting position maxposit _ sym (ii-1) of a symbol previous to the current symbol, ii being 2: M, and determining a maximum value in CP correlation value energy of the current symbol within the starting position search range of the current symbol, where ii represents an index of the current symbol, ii being 2: M, specifically determining a maximum value in CP correlation value energy corr _ CP _ power (sym _ hd _ range) of the current symbol according to the following formula:

[～,maxposit_sym(ii)]＝max(corr_cp_power(sym_hd_range))

maxposit_sym(ii)＝maxposit_sym(ii)+start-1

where start is the lower boundary of the starting position search range. Finally, the data point position maxposit _ sym (ii) corresponding to the maximum value is used as the starting position of the current symbol.

In an embodiment, the determining the starting position search range of the current symbol based on the starting position of the symbol before the current symbol specifically includes:

start＝maxposit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

The time slot synchronization detection method provided by the embodiment of the application can accurately and quickly find the symbol initial position through the sliding correlation calculation based on the cyclic prefix.

Based on the content of the foregoing embodiments, in the step 102, taking the starting position of each symbol of the target timeslot as an assumed timeslot starting position, extracting demodulation reference signal DMRS symbol data from the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol, includes:

Specifically, first, the start position dmrs _ sym _ pre and the end position dmrs _ sym _ post of pilot symbol data extraction are determined using the start position maxposit _ sym (ii) of each symbol of the target slot as a hypothetical slot start position.

Then, according to the initial position and the end position, performing demodulation reference signal (DMRS) symbol data extraction on the data after the frequency offset estimation and compensation to obtain pilot frequency symbol data:

dmrs_data_time＝data_time_1(dmrs_sym_pre:dmrs_sym_post)

wherein, data _ time _1 is data after frequency offset estimation and compensation, and dmrs _ data _ time is pilot symbol data.

Finally, M pilot symbol data are obtained.

Based on the content of the foregoing embodiment, the determining the starting position of the pilot symbol data based on the starting position of each symbol of the target timeslot specifically includes:

where dmrs _ sym _ pre is a start position of the pilot symbol data, maxposit _ sym (ii) is a start position of each symbol of the target timeslot, ii ═ 1: M, M is the number of symbols included in one timeslot, dmrspost (1) is a matrix for indicating a position of the dmrs symbol in the timeslot, fft _ length is a data part length of one symbol of the timeslot, CP _2 is a CP part length of a second symbol of the timeslot, and CP _1 is a CP part length of a first symbol of the timeslot.

Correspondingly, the determining the ending position of the pilot symbol data according to the starting position of the pilot symbol data specifically includes:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

Where dmrs _ sym _ pre is a start position of the pilot symbol data, fft _ length is a data part length of one symbol of a slot, and dmrs _ sym _ post is an end position of the pilot symbol data.

In the time slot synchronization detection method provided by the embodiment of the application, M pilot symbol data are found by using the initial position of each symbol, and are used for performing frequency domain correlation with a local DMRS symbol by using the M pilot symbol data subsequently, so that the initial position of the time slot and the number of the time slot of a target time slot are finally determined.

Based on the content of the foregoing embodiments, the step 103 performs correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determines the starting position and the slot number of the target slot based on the plurality of DMRS correlation values, including:

wherein, N is the number of slots contained in one radio frame.

Specifically, first, conjugate point multiplication is performed on the frequency domain pilot symbol data corresponding to each symbol and the local DMRS symbol data dmrsfreq _ local of each slot in the radio frame, so as to obtain N sets of point multiplication results, where the N sets of point multiplication results are all frequency domain data, and after each point multiplication result is transformed to the time domain through Inverse Discrete Fourier Transform (ifft), time domain channel impulse response power cirlower is obtained, so as to obtain N sets of DMRS correlation values corresponding to each symbol, and a maximum value of the N sets of DMRS correlation values is obtained, so as to obtain a DMRS correlation value peak value cirlower (ii, slotid) corresponding to each symbol.

The calculation method comprises the following steps:

and finally, determining the maximum value of the DMRS correlation value peak values CIRPower (ii, slotid) corresponding to the symbols, namely finding the CIRPower maximum value, wherein the slotid corresponding to the CIRPower maximum value is the time slot number of the time slot in which the pilot symbol data is positioned, namely the time slot number of the target time slot, and the starting position of the symbol indicated by the ii value corresponding to the CIRPower maximum value is the starting position of the target time slot.

The time slot synchronization detection method provided by the embodiment of the application adopts a mode of firstly multiplying a frequency domain conjugate point and then transforming to a time domain to obtain time domain channel impact response power, is used for judging the time slot starting position and the time slot number, is suitable for 5G NR FDD signals with different effective PRB numbers, and can accurately and quickly realize the synchronization of the 5G NR FDD signals.

Fig. 3 is a schematic structural diagram of a receiving-end device according to an embodiment of the present application, as shown in fig. 3, the receiving-end device includes a memory 320, a transceiver 310, and a processor 300, where:

a memory 320 for storing a computer program; a transceiver 310 for transceiving data under the control of the processor 300; a processor 300 for reading the computer program in the memory 320 and performing the following operations:

In particular, a transceiver 310 for receiving and transmitting data under the control of the processor 300.

Where in fig. 3, the bus architecture may include any number of interconnected buses and bridges, with one or more of the processor 300, represented by processor 300, and the various circuits of the memory, represented by memory 320, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 310 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium including wireless channels, wired channels, fiber optic cables, and the like. For different user devices, the user interface may also be an interface capable of interfacing with a desired device externally, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 300 is responsible for managing the bus architecture and general processing, and the memory 320 may store data used by the processor 300 in performing operations.

Alternatively, the processor 300 may be a CPU (central processing unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a CPLD (Complex Programmable Logic Device), and the processor may also have a multi-core architecture.

It should be noted that, the receiving end device provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as those of the method embodiment in this embodiment are not repeated herein.

Optionally, as another embodiment, the acquiring target data based on the FDD signal, performing sliding correlation calculation based on a cyclic prefix CP on the target data, and determining a start position of each symbol of a target timeslot includes:

Optionally, as another embodiment, the determining, according to the CP correlation value energy corresponding to each sliding data point, a peak position of the CP correlation value energy, and taking the peak position as a start position of each symbol includes:

where M is the number of symbols included in one slot.

Optionally, as another embodiment, the determining a starting position search range of a first symbol of the target timeslot specifically includes:

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

Wherein sym _ hd _ range is the initial position search range, a is the coefficient, fft _ length is the data part length of one symbol of the time slot, CP _2 is the CP part length of the second symbol of the time slot;

start＝maxposit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

Optionally, as another embodiment, taking the starting position of each symbol of the target timeslot as an assumed starting position of the timeslot, extracting demodulation reference signal DMRS symbol data from the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol includes:

Optionally, as another embodiment, the determining the starting position of the pilot symbol data based on the starting position of each symbol of the target timeslot specifically includes:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

Optionally, as another embodiment, the performing correlation calculation on the frequency-domain pilot symbol data and the local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining the starting position and the slot number of the target slot based on the plurality of DMRS correlation values includes:

wherein, N is the number of slots contained in one radio frame.

Fig. 4 is a schematic structural diagram of a timeslot synchronization detection apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus includes: a symbol header detection unit 410, a frequency offset compensation unit 420, a pilot symbol data extraction unit 430, and a slot position determination unit 440, wherein,

a symbol header detection unit 410, configured to receive a frequency division duplex FDD signal, obtain target data based on the FDD signal, perform sliding correlation calculation based on a cyclic prefix CP on the target data, and determine an initial position of each symbol of a target timeslot;

a frequency offset compensation unit 420, configured to perform frequency offset estimation and compensation on the target data to obtain frequency offset estimated and compensated data;

a pilot symbol data extraction unit 430, configured to use an initial position of each symbol of the target time slot as an assumed time slot initial position, perform demodulation reference signal DMRS symbol data extraction on the data after the frequency offset estimation and compensation, obtain pilot symbol data corresponding to the initial position of each symbol, and transform the pilot symbol data to a frequency domain to obtain frequency domain pilot symbol data;

a slot position determining unit 440, configured to perform correlation calculation on the frequency domain pilot symbol data and the local DMRS symbol data to obtain multiple DMRS correlation values, and determine a starting position and a slot number of the target slot based on the multiple DMRS correlation values.

It should be noted that the apparatus provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

where M is the number of symbols included in one slot.

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

start＝maxposit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

Optionally, as another embodiment, the taking the starting position of each symbol of the target timeslot as an assumed starting position of the timeslot, extracting demodulation reference signal DMRS symbol data from the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol includes:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

wherein, N is the number of slots contained in one radio frame.

It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a processor readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

On the other hand, an embodiment of the present application further provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, where the computer program is configured to cause the processor to execute the method provided in each of the above embodiments, and the method includes:

where M is the number of symbols included in one slot.

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

start＝maxposit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

wherein, N is the number of slots contained in one radio frame.

In the processor-readable storage medium provided in this embodiment, the computer program stored thereon enables the processor to implement all the method steps implemented by the foregoing method embodiments, and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those of the method embodiments are omitted here.

The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, including but not limited to magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memories (NANDFLASHs), Solid State Disks (SSDs)), etc.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method for detecting slot synchronization, comprising:

taking the initial position of each symbol of the target time slot as an assumed initial position of the time slot, extracting demodulation reference signal DMRS symbol data of the data after the frequency offset estimation and compensation to obtain pilot symbol data corresponding to the initial position of each symbol, and transforming the pilot symbol data to a frequency domain to obtain frequency domain pilot symbol data;

2. The timeslot synchronization detection method of claim 1, wherein the obtaining target data based on the FDD signal, performing a sliding correlation calculation based on a cyclic prefix CP on the target data, and determining a start position of each symbol of a target timeslot comprises:

3. The timeslot synchronization detection method according to claim 2, wherein the determining a peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and using the peak position as a start position of each symbol, includes:

where M is the number of symbols included in one slot.

4. The timeslot synchronization detection method according to claim 3, wherein the determining the search range of the starting position of the first symbol of the target timeslot specifically includes:

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

start＝max posit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

5. The method according to claim 1, wherein the taking the starting position of each symbol of the target slot as an assumed starting position of the slot, extracting DMRS symbol data of the demodulation reference signal from the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol comprises:

6. The timeslot synchronization detection method according to claim 5, wherein the determining the start position of the pilot symbol data based on the start position of each symbol of the target timeslot specifically includes:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

7. The slot synchronization detection method according to claim 1, wherein the correlating the frequency-domain pilot symbol data with the local DMRS symbol data to obtain a plurality of DMRS correlation values, and the determining a start position and a slot number of the target slot based on the plurality of DMRS correlation values comprises:

wherein, N is the number of slots contained in one radio frame.

8. A receiving-end device, comprising a memory, a transceiver, and a processor:

9. The receiver apparatus of claim 8, wherein the obtaining target data based on the FDD signal, performing a sliding correlation calculation based on a cyclic prefix CP on the target data, and determining a start position of each symbol of a target timeslot comprises:

acquiring target data based on the FDD signal, wherein the length of the target data is 1slot + fft _ length + CP _2-1, wherein 1slot is the length of one time slot, fft _ length is the length of a data part of one symbol of the time slot, and CP _2 is the length of a CP part of a second symbol of the time slot;

10. The receiving end device of claim 9, wherein the determining a peak position of the CP correlation value energy according to the CP correlation value energy corresponding to each sliding data point, and taking the peak position as a start position of each symbol, includes:

where M is the number of symbols included in one slot.

11. The receiving end device of claim 10, wherein the determining the starting position search range of the first symbol of the target timeslot specifically includes:

sym _ hd _ range ═ 1 (fft _ length + cp _2) × a formula one

start＝max posit_sym(ii-1)+(fft_length+cp_2)*0.5+1

end＝min(maxposit_sym(ii-1)+(fft_length+cp_2)*1.5),61440)

sym _ hd _ range (start: end) formula two

12. The receiving end device of claim 8, wherein the taking the starting position of each symbol of the target slot as an assumed starting position of the slot, performing demodulation reference signal DMRS symbol data extraction on the data after the frequency offset estimation and compensation, and obtaining pilot symbol data corresponding to the starting position of each symbol comprises:

13. The receiving end device of claim 12, wherein the determining the start position of the pilot symbol data based on the start position of each symbol of the target timeslot specifically includes:

dmrs _ sym _ post ═ dmrs _ sym _ pre + fft _ length-1 equation four

14. The receiving apparatus as set forth in claim 8, wherein said correlating the frequency-domain pilot symbol data with local DMRS symbol data to obtain a plurality of DMRS correlation values, and determining a start position and a slot number of the target slot based on the plurality of DMRS correlation values comprises:

wherein, N is the number of slots contained in one radio frame.

15. A slot synchronization detecting apparatus, comprising:

16. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to execute the slot synchronization detection method of any one of claims 1 to 7.