CN111106892B - Synchronous detection method in narrow-band wireless communication terminal - Google Patents
Synchronous detection method in narrow-band wireless communication terminal Download PDFInfo
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- H04L7/00—Arrangements for synchronising receiver with transmitter
- H04L7/0079—Receiver details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
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- H04L27/00—Modulated-carrier systems
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- H—ELECTRICITY
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- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
- H04L2027/0024—Carrier regulation at the receiver end
- H04L2027/0026—Correction of carrier offset
Abstract
The invention discloses a synchronous detection device applied to a narrow-band wireless communication system terminal, which comprises a down-sampling module, a sliding autocorrelation module and a differential cross-correlation module. The down-sampling module down-samples the received 1.92MHz time domain signal to a 240kHz signal according to the OFDM symbol duration and a fixed down-sampling pattern. The sliding autocorrelation module takes the bit-by-bit movement of sampling point data in a 10ms wireless frame processing window length as an initial position t, takes an OFDM symbol duration with the length of 11 as a sliding window, and performs correlation accumulation between two groups of 11 groups of sampling point intervals in the sliding window. And the difference cross-correlation module divides the obtained preliminary synchronization sequence difference into two approximately equal parts and performs cross-correlation accumulation with a locally generated main synchronization sequence. The synchronous detection device can still better detect the master synchronous signal under the application scenes of low signal-to-noise ratio and large frequency offset of the narrow-band wireless communication system, and has low complexity and low cost.
Description
Technical Field
The invention relates to the field of mobile communication, in particular to a synchronous detection method applied to a narrow-band cellular communication terminal in a future Internet of things network.
Background
IoT (internet of things) has become an industry highlight in the recent communication market, and recent innovation results and application cases thereof are shown on many operators and equipment. The narrow-band wireless communication technology (NB-Iot) is the key of an operator in the market of the Internet of things. The narrow-band wireless communication system has the advantages of low power consumption, wide coverage, low cost, high capacity and the like, so that the narrow-band wireless communication system can be widely applied to various vertical industries, such as remote meter reading, asset tracking, intelligent parking, intelligent agriculture and the like. The first release of the 3GPP standard is expected to be released in 2016, and narrowband wireless communication is expected to stand out in multiple technological competitions in the LPWA market, becoming the best choice for leading operators.
The first version of narrowband wireless communication supports 3 operation modes (standby, in-band, guard-band), including:
■ Standalone: using the spectrum of an existing GERAN system to replace one or more GSM carriers
■ Guard-band: utilizing unused resource blocks within LTE carrier guard intervals
■ In-band: utilizing normal LTE intra-carrier resource blocks.
In network deployment of narrowband wireless communication, bandwidth resources available to a base station are wide, but for a specific narrowband wireless communication terminal device, the uplink and downlink bandwidths of the terminal device occupy only 180kHz (i.e. one PRB) at most, when the terminal device shares bandwidth deployment with the conventional LTE, a downlink synchronization pilot of a narrowband wireless communication system can only be transmitted on a specific PRB, and the specific PRB differs from a 100kHz grid point by a fixed 2.5kHz or 7.5kHz, which is called an anchor PRB.
The invention relates to a technical scheme of detecting a main synchronization sequence of a narrow-band wireless communication system. The characteristics of the primary synchronization pilot (NPSS) in the first 3gpp version of the narrowband wireless communication system include:
■ NPSS transmission period is one wireless frame length (10ms)
■ NPSS uses the last 11OFDM symbols of sub-frame 5 in each radio frame and occupies 11 sub-carrier transmissions on each symbol, from sub-carrier 0 to sub-carrier 10
■ NPSS adopts the same ZC sequence as a base sequence in each OFDM symbol, the ZC root sequence is u-5, the ZC root sequence is generated in a frequency domain, and the ZC sequence has good time domain and frequency domain correlation
■ NPSS employs a binary scrambling sequence of random patterns between different OFDM symbols.
In addition, as mentioned above, in the same network deployment mode as the conventional LTE, a 2.5/7.5kHz frequency offset exists between the anchor PRB where the downlink synchronization pilot frequency of the narrowband wireless communication system is located and the 100kHz frequency sweep grid, and the superposition of the two factors causes the initial frequency offset which may reach 25kHz or more at most when the narrowband wireless communication terminal device is initially synchronized.
Moreover, the narrowband wireless communication terminal device is often deployed in an extremely low network environment with a low signal-to-noise ratio, and how to detect the synchronization signal in a strong noise background is also a technical problem to be overcome.
The primary synchronization detection method in the conventional LTE system, for example, the invention of application No. 20101038021, a 3gpp LTE downlink initial primary synchronization detection method, or the invention of application No. 2013103796348, a fast downlink primary synchronization method for TD-LTE cell handover, and the invention of application No. 201010111963, a method and apparatus for detecting and generating a sequence of an LTE primary synchronization signal in an LTE system, all disclose methods for detecting (or determining) the existence of a synchronization signal by cross-correlating a received sequence with a locally generated sequence. For a narrowband wireless communication system, because the synchronization sequence is short and works in an environment with an extremely low signal-to-noise ratio and a large initial frequency offset, a synchronization sequence detection method applying frequency domain data cross-correlation used in a traditional LTE system cannot find a correlation peak at all.
Disclosure of Invention
In view of the above drawbacks and deficiencies in the prior art, an object of the present invention is to provide a synchronization apparatus and method for an internet of things narrowband cellular communication terminal, which can better detect a primary synchronization signal in an environment with a very low signal-to-noise ratio and a large frequency offset, and the implementation cost is low.
According to an aspect of the present invention, there is provided a synchronization apparatus for a narrowband cellular communication terminal, comprising the following modules, as shown in fig. 1.
And the M101 down-sampling module is used for down-sampling the time domain sampling signal with the sampling rate of 1.92MHz into a signal of 240 kHz.
The down-sampling module divides 1920 sampling points of every 1ms (one sub-frame length) into 14 OFDM symbol durations, the down-sampling patterns in the 1 st and 7 th OFDM symbol durations are {10,8,8,8,8,8,8,8,8,8,8, 8}, and the down-sampling patterns in other OFDM symbol lengths are {9,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8 }.
M201 sliding auto-correlation module for preliminary determination of the existence and preliminary location of the primary synchronization sequence.
The sliding autocorrelation module further comprises a data buffer for buffering the down-sampled data of the last 11OFDM time durations of the last 10ms radio frame, so that the total data length processed by the sliding autocorrelation module at one time is the sum of the current 10ms radio frame and the last 11OFDM symbols of the last 10ms radio frame.
The sliding autocorrelation module moves sampling point data in a processing window bit by bit to serve as an initial position t, downsampled data with the duration of 11OFDM symbols are taken out to serve as a sliding window, then the sampling points in the sliding window are divided into 11 groups, correlation accumulation is carried out after the sampling points between every two groups are multiplied by corresponding scrambling sequences, alpha filtering is carried out on a plurality of groups of sliding autocorrelation results of a plurality of 10ms wireless frame processing windows, and finally power normalization is carried out on the sliding autocorrelation results of all the sliding windows.
And if the sliding autocorrelation result of one sliding window is larger than the threshold value of the preset value, starting the differential cross-correlation module.
Further, the sliding autocorrelation module further comprises a decimal frequency offset estimation and calibration submodule, which performs decimal frequency offset estimation and calibration according to the phase value of the obtained sliding autocorrelation result, wherein the decimal frequency offset estimation is estimated according to the following formula,
wherein, arctan { AtThe phase value of the result of the sliding autocorrelation is taken, 1.92MHz is the sampling rate of the initial time domain data, and 137 is the number of sampling points for one OFDM symbol duration.
And the M301 differential cross-correlation module is used for further determining whether the NPSS signal exists.
The data object processed by the differential cross-correlation module is a 187-point sampling sequence in a sliding window obtained from the sliding autocorrelation module, the 187-point sampling sequence is differentiated into two sections with approximately equal length, for example, the length of the first section is 97 points, the length of the second section is 98 points, or the length of the first section is 98 points, the length of the second section is 97 points, after conjugate multiplication and accumulation are respectively performed on the two sections of sequences and a locally generated NPSS time domain sequence, correlation and combination are performed on the two sections of results, and if the correlation and combination result is greater than a preset threshold value, existence of NPSS is confirmed.
Further, the correlation combining further includes power normalizing the combined result in each 10ms radio frame.
Preferably, the differential correlation module further includes a sub-module for performing integer-multiple frequency offset estimation and calibration on the received sequence, the sub-module enumerates all possible integer-multiple frequency offset values within the frequency offset range, tries to modulate the locally generated NPSS time domain sequence with each integer-multiple frequency offset value, performs differential correlation using the modulated local NPSS sequence, and finds out the maximum value of the differential cross-correlation result, where the corresponding integer-multiple frequency offset value is the estimated value. Then, the sum of the decimal frequency multiplication deviation estimation value and the integer frequency multiplication deviation estimation value is synthesized to be a total frequency deviation estimation value, and phase calibration is carried out according to the sampling time of the sampling point.
Preferably, the differential correlation module further includes a timing estimation sub-module, that is, the local NPSS time domain sequence with a high sampling rate is generated, then different initial sampling point offsets are tried and downsampled to generate the local NPSS time domain sequence, then the differential cross correlation is performed, and an initial offset value which enables the differential cross correlation value to be maximum is found out and is used as the estimated timing offset.
The device of the invention has the beneficial effects that: the scheme provided by the invention has better performance, and because the scheme provided by the invention can obtain the merging gain among a plurality of 10ms wireless frames, longer synchronization time can be used for replacing the accuracy of synchronous access in specific engineering practice, thus the method is suitable for the performance requirements of access in the environment with low time delay sensitivity and high severe environment of narrow-band wireless communication. Under a better configuration, the device disclosed by the invention also performs estimation and calibration of decimal frequency offset and integer frequency offset in the process of detecting the NPSS signal, so that the performance of resisting large frequency offset is further improved. Under a better configuration, the device disclosed by the invention can also carry out preliminary timing estimation, thereby creating better conditions for subsequent downlink data reception and improving the overall performance of a receiver. The device disclosed by the invention has been subjected to multiple simulation experiments and evaluations, and according to the convention of a 3gpp protocol and the simulation configuration of the convention of the 3gpp, the device disclosed by the invention can obtain a detection success rate of more than 95%, and under a better configuration, the timing synchronization can be within 4Tsamp (wherein Tsamp corresponds to a 1.92MHz sampling interval), and the frequency synchronization error is within 50 Hz.
According to another aspect of the present invention, there is provided a synchronization detection method for a narrowband cellular communication terminal, which includes the following several processes.
S101, a down-sampling process, namely down-sampling a time domain signal with a sampling rate of 1.92MHz into a signal with a sampling rate of 240kHz according to a fixed down-sampling pattern by taking an OFDM symbol as a unit length; the fixed downsampling pattern is as described in the apparatus section of the present invention.
S201, in the sliding self-correlation process, sampling point data in a 10ms wireless frame processing window length are moved bit by bit to serve as an initial position t, the length of 11OFDM symbol durations serves as a sliding window, sampling points in the sliding window are divided into 11 groups, and correlation accumulation is carried out on the sampling points between the two groups at intervals.
Preferably, the sliding autocorrelation process further includes a sub-process of fractional frequency offset estimation and calibration according to the autocorrelation result.
And if the sliding autocorrelation obtained by the calculation of the sliding autocorrelation process is greater than a threshold value, starting a differential cross-correlation process.
S301, a differential cross-correlation process, in which the synchronization sequence in the sliding window obtained in the sliding auto-correlation process is differentiated into two parts with equal length, and is cross-correlated and accumulated with the locally generated synchronization sequence.
Preferably, the differential cross-correlation process further includes a sub-process of estimating and calibrating the integer multiple frequency offset.
Preferably, the differential cross-correlation process further comprises a timing estimation sub-process.
And if the cross-correlation result obtained in the differential cross-correlation process is larger than a threshold value, determining that the detected sequence is a main synchronization sequence.
Drawings
Fig. 1 is a schematic block diagram of a synchronization apparatus according to the present invention.
Fig. 2 is a schematic diagram of a down-sampling pattern.
Fig. 3 is a schematic diagram showing a comparison relationship between actual sub-frame sampling points and sampling patterns in practice, wherein the actual sub-frame sampling points are randomly extracted within a time length of 1 ms.
Fig. 4 is a diagram illustrating the physical mapping of NPSS sequences.
Fig. 5 is a diagram showing a comparison of the actual 10ms processing window with the actual radio frame location.
Fig. 6 is a schematic diagram of sliding autocorrelation.
Fig. 7 is a diagram illustrating attempts at different timing offsets in timing estimation.
Detailed Description
The embodiments of the present invention will be described below by specific examples, which are described herein for the purpose of illustration only and are not intended to be limiting. Other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein.
Referring to the drawings, the NPSS detection apparatus includes modules as shown in fig. 1, including a down-sampling module, a sliding auto-correlation module (AutoCorr), a coarse cross-correlation module, and a fine cross-correlation module.
M101 down-sampling module
The down-sampling module implements down-sampling from a sampling rate of 1.92MHz to 240K, inputting 1920 ═ 137 × (14 +2) samples for 1ms per sub-frame before down-sampling, outputting 238 ═ 17 × (14) samples per sub-frame after down-sampling, and following the following fixed down-sampling pattern:
the 1920 samples of each sub-frame are taken as 14 groups (14 OFDM symbols), the 1 st group of samples is 138, the 2 nd to 6 th groups of samples are 137, the 7 th group of samples is 138, and the 8 th to 14 th groups of samples are 137. The 1 st to 6 th groups are denoted as slot 1(slot1), the 7 th to 14 th groups are denoted as slot 2(slot2), the 1 st group of each slot is denoted as the first OFDM symbol, and the remaining groups are denoted as non-first OFDM symbols.
The first OFDM symbol (i.e., groups 1 and 7) of each slot is down-sampled with a pattern of {10,8,8,8,8,8,8,8,8,8 }; as shown in the upper half of fig. 2, 1 point is sampled every 10 points first, 1 point is sampled every 8 points for the remaining sampling points, and so on.
The sampling pattern of the non-first OFDM symbol (i.e., groups 2-6, groups 8-14) is {9,8,8,8,8,8,8,8,8,8 }; as shown in the lower half of fig. 2, 1 point is sampled every 9 points, 1 point is sampled every 8 points for the remaining sampling points, and so on.
Thus, the number of down-sampled points per OFDM symbol is 17, and each 1ms duration includes a sampling point number of 238 ═ 17 × 14.
Fig. 3 shows a comparison between actual sampling points of the sub-frame and sampling patterns in a practically random sampling time length of 1ms, assuming that the starting position of the randomly sampled 1ms time window corresponds to the last OFDM symbol of the previous sub-frame, and the sampling patterns of the first group are {10,8,8,8,8,8,8,8,8, 8}, so that the first 17 down-sampled data in the sub-frame correspond to the 1 st point in the original CP segment, the 2 nd, 10 th, … th point in the data segment, and the next down-sampling window corresponds to the first OFDM symbol of the sub-frame, and the sampling patterns are {9,8,8,8,8,8,8,8,8,8,8,8, 8}, so that the 17 data in the down-sampled sub-frame correspond to the 3 rd point in the original CP segment, the 1 st point in the data segment, the 9 th, … th, 122 th and third down-sampling windows correspond to the second OFDM symbol of the subframe, and the sampling pattern is still {9,8,8,8,8,8,8,8,8,8, 8}, so that the 17 down-sampled data in the subframe correspond to the 2 nd point in the original CP segment, the 1 st, 9 th, … th, 122 th point in the data segment, and so on.
Therefore, the fixed sampling pattern is adopted for down-sampling, the number of points after down-sampling in each OFDM symbol time length can be ensured to be the same, the error between sampling positions of an original OFDM symbol after down-sampling is ensured to be kept at the maximum 1 sampling point, and most OFDM sampling positions are free from error, so that the calculation amount of subsequent sliding autocorrelation is reduced, and the performance reduction caused by the down-sampling to the sliding autocorrelation is reduced to the maximum extent.
M201 sliding auto-correlation module
As shown in fig. 4, the primary synchronization code NB-PSS sequence of the narrowband wireless communication system is a short sequence in the frequency domain, occupies 11 REs in the frequency domain, occupies 11 consecutive OFDM symbols in the time domain, and is transmitted after being scrambled, as agreed in the protocol [36.211 ].
The number of sampling points of 1ms after down-sampling is 238, the primary processing object of the sliding autocorrelation module is the received time domain data in each wireless frame (10ms) window time, the actual sliding autocorrelation module further comprises a data buffer for buffering the last 11 data of the OFDM symbols in the last wireless frame window, namely 11 sampling points, so that the actual primary processing object of the sliding autocorrelation module comprises 2380 sampling points +11 sampling points after down-sampling of one wireless frame, and the data of 2567 down-sampling points in total.
The beneficial effect of adding the data buffer in the sliding autocorrelation module is to prevent data missing detection, as shown in fig. 5, there may be a scenario where the starting position of the current 10ms processing window is just inside the frame of the real-sent NPSS subframe, and the data buffer with the added 11OFDM symbol durations can ensure that at least one complete NPSS sequence is certainly stored in the increased sliding autocorrelation processing window.
As shown in fig. 6, the sample data in the processing window is shifted bit by bit as a start position t, and the sample is taken out from a duration window with a length of 11OFDM symbols (i.e., 187 samples) as a sliding window.
The 187 samples within a sliding window are then divided into 11 groups of 17 samples, with the correlation accumulation being performed at intervals between two groups as shown in fig. 6, where the scrambling sequence for each OFDM symbol is also multiplied, as shown below,
in the above formula, the first and second carbon atoms are,
is a received sequence of sample points, S, of the duration of the mth OFDM symbol from the tth sample pointm、Sm+1Is the scrambling code corresponding to these two OFDM symbol sequences, which represents the conjugate operation taken for each point in the sequence.
Preferably, the engineering practice also includes an alpha filtering operation of the autocorrelation result in a continuous wireless frame (10ms) window
At＝a×At-1+(1-αNPSS,1)×At
Thereby obtaining diversity combining gain and further improving the accuracy of detection.
Then, the power normalization is carried out on the sliding correlation result,
and judging whether the normalized sliding autocorrelation result is larger than a predefined threshold value, if so, determining that the wireless frame window contains NPSS (network provider service) and the approximate initial position is at the t-th sampling point, and transferring to a next coarse cross-correlation module, otherwise, transferring to the judgment of the next wireless frame window.
Preferably, the method further comprises the step of carrying out fractional frequency offset estimation and calibration on the down-sampled signal according to the sliding autocorrelation result.
As described above, since the initial sampling rate is 1.92MHz, the number of sampling points included in one OFDM symbol is 137, and thus the time length of one OFDM symbol is 137/1.92MHz, the phase rotation caused by the frequency offset over the time length of one OFDM symbol is:
where θ is the phase value of the autocorrelation result.
Therefore, the estimate of the frequency offset:
it should be noted that, when the phase rotation caused by the true frequency offset value on one OFDM symbol is smaller than pi, the estimation result in the above formula is the complete frequency offset value, but in general, as described in the background art, since the very large initial frequency offset of the narrowband wireless communication system will cause the phase rotation larger than pi, the estimation result in the above formula is only the fractional part of the frequency offset value, which is called the fractional frequency offset value.
Finally, according to the estimated decimal frequency offset value, the frequency offset calibration is carried out on the down-sampling sequence in the sliding window,
where λ i is the sampling instant of the ith sample point.
M301 differential cross-correlation module
The differential cross-correlation module is started only when the sliding autocorrelation judges that NPSS exists, and is used for confirming the existence of the NPSS and estimating and calibrating integral multiple frequency offset, and preferably, timing deviation is eliminated.
First, a local sequence without frequency offset, denoted as d, is generated according to the protocol specificationi，diIs the same as the down-sampled received sequence and modulates d according to different integer frequency offsetsi。
In the background art, the maximum frequency deviation is + -25.5 KHz when a narrow-band wireless communication system encounters in cell search, and 5 possible integer frequency deviations exist in the range, respectively
The frequency offset values all fall within the maximum frequency offset range.
By way of enumeration, each integer frequency offset in the above assumptions is attempted to modulate the original native sequence.
Then, the modulated local sequence is correlated with the sampling sequence output by the sliding autocorrelation, the NPSS sequence within 11OFDM symbol duration is divided into two segments with approximately equal length for differential correlation, i.e. the local sequence with the length of 187 points and the received sampling sequence are equally divided into two segments, the first segment is 94 points in length, the second segment is 93 points in length (or can be divided into the first segment 93 points and the second segment 94 points), and the two segments are correlated,
where denotes the conjugate operation.
In the conventional technical method in the art, most of the cross-correlation is obtained by performing correlation operation on a complete received sequence and a local sequence, but in the scheme of the invention, the complete synchronization sequence is split into two segments with approximately equal length, and then the two segments are respectively correlated with the local sequence. This is because NPSS can be mapped to different antenna ports for transmission in different radio frames as specified by the protocol, so that if the conventional means is sampled, NPSS local sequences and received sequences of one subframe length (187 points) are directly correlated, and cannot be combined among multiple radio frame windows to obtain combining gain; according to the scheme, two sections in the subframe are firstly differentiated and then correlated, the antenna port in one subframe is unchanged, and the differential correlation results among different wireless frames can still be combined, so that the problem of switching among the antenna ports among the wireless frames is avoided, and the combining gain is obtained.
The power normalization is carried out on the differential correlation results in the 10ms wireless frame, and the differential correlation results in a plurality of 10ms wireless frame windows are combined
Wherein the content of the first and second substances,
is the result of the normalization within the last 10ms radio frame window.
If the differential cross-correlation result is greater than the threshold value, finding a k value which maximizes the differential cross-correlation result,
the differential cross-correlation is considered to confirm that the NPSS signal has been successfully detected, and the corresponding frequency offset value is the integer frequency offset estimation result.
The total frequency offset estimation result is the sum of the decimal multiple and integer frequency offset estimation results.
The received NPSS sequence is frequency offset calibrated,
wherein λ isiIs the sampling instant of the ith sample point.
In the preferred case of engineering, the differential cross-correlation module also includes processing of preliminary timing estimates. As described earlier, the initial local sequence diIs the same as the down-sampled received sequence (i.e., 240 kHz). If the process of preliminary timing estimation is needed, a local sequence with a high sampling rate is generated, and then a plurality of initial sample point offsets are tried and downsampled, for example, the generated local sequence has a sampling rate of 1.92MHz, as shown in fig. 7, the tried sample point offsets are j equal to 0,1,2, …, 7 points, the downsampling rate is 8, and the corresponding downsampled sequence is recorded as
The down-sampled sequence is still 240kHz, then the differential cross-correlation is performed as described above, and the maximum differential cross-correlation result is found,
the corresponding sample point offset j is the initial timing estimator.
According to the simulation configuration (as shown in table 1) agreed by 3gpp, the device disclosed by the invention can obtain a detection success rate of more than 95%, and can achieve timing synchronization at 4T under better configurationsampWithin (wherein T)sampCorresponding to a 1.92MHz sampling interval), the frequency synchronization error is within 50Hz range
Table 1 performance simulation conditions.
Claims (1)
1. A synchronous detection method applied to a narrow-band wireless communication system terminal is characterized by comprising the following processes
Step S101, a down-sampling process, namely down-sampling a time domain signal with a sampling rate of 1.92MHz into a signal with a sampling rate of 240kHz according to a fixed down-sampling pattern by taking an OFDM symbol as a unit length;
step S201, a sliding self-correlation process, namely moving sampling point data in a wireless frame processing window length of 10ms bit by bit to serve as an initial position t, taking an OFDM symbol duration with the length of 11 as a sliding window, dividing sampling points in the sliding window into 11 groups, and performing correlation accumulation at intervals of the sampling points between the two groups;
if the sliding autocorrelation obtained by the calculation of the sliding autocorrelation process is greater than a threshold value, starting a differential cross-correlation process;
step S301, a differential cross-correlation process, which is to differentiate the synchronous sequence in the sliding window obtained in the sliding auto-correlation process into two parts with equal length, and perform cross-correlation accumulation with the down-sampling local sequence respectively; the down-sampling local sequence is a standard local sequence which simultaneously generates a sampling rate of 1.92MHz in the differential cross-correlation process, then enumerates initial sampling point offset of 0,1, 7 points and down-samples the down-sampling local sequence to a sampling rate of 240 kHz;
and taking out the maximum module value accumulated by the cross-correlation, recording the maximum module value as a differential cross-correlation result, wherein the corresponding timing offset enumerated value is an estimated timing offset value; and if the cross-correlation result obtained in the differential cross-correlation process is larger than a threshold value, determining that the detected sequence is a main synchronization sequence.
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| CN109729034B (en) * | 2017-10-27 | 2020-10-16 | 电信科学技术研究院 | Timing method, device and terminal |
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| CN108123774B (en) * | 2017-12-27 | 2019-10-25 | 中山大学花都产业科技研究院 | A kind of narrowband Internet of Things down link synchronisation method and its system |
| CN110034838B (en) * | 2018-01-12 | 2020-10-27 | 北京小米松果电子有限公司 | Signal synchronization method and apparatus, storage medium, and electronic device |
| CN110198208B (en) * | 2018-02-26 | 2021-08-06 | 普天信息技术有限公司 | Uplink pilot frequency design method of narrow-band communication system, transmitting end and receiving end |
| CN108965189A (en) * | 2018-07-02 | 2018-12-07 | 天津市德力电子仪器有限公司 | It is a kind of applied to the symbol timing synchronization method for resisting big frequency deviation in NB-IOT system |
| KR20200092096A (en) | 2019-01-24 | 2020-08-03 | 삼성전자주식회사 | Wireless communication apparatus including synchronization signal detector and cell searching method thereof |
| CN109768852B (en) * | 2019-02-27 | 2021-08-13 | 东南大学 | Method, device and storage medium for realizing precise symbol synchronization processing based on computer software system |
| EP3952236A4 (en) * | 2019-04-18 | 2022-04-13 | Beijing Xiaomi Mobile Software Co., Ltd. | Frequency offset determination method and apparatus and resource block transmission method and apparatus |
| CN110392424B (en) * | 2019-07-04 | 2021-07-13 | 南京理工大学 | Timing method for downlink synchronous signal in narrow-band system |
| CN110601719B (en) * | 2019-09-26 | 2021-03-26 | 北京智联安科技有限公司 | Simplification method for coarse synchronization autocorrelation of NB-IoT (NB-IoT) terminal |
| CN110636602B (en) * | 2019-09-27 | 2022-02-11 | 广州粒子微电子有限公司 | NB-IoT downlink synchronization method and related operation module thereof |
| WO2021128159A1 (en) * | 2019-12-26 | 2021-07-01 | 哈尔滨海能达科技有限公司 | Synchronization detection method and device |
| CN111030959B (en) * | 2019-12-26 | 2021-05-11 | 江苏科大亨芯半导体技术有限公司 | Frequency domain time-frequency synchronization method of NB-IoT |
| CN111093253A (en) * | 2019-12-27 | 2020-05-01 | 重庆物奇科技有限公司 | Main synchronization signal fine search method of narrow-band Internet of things NB-IoT |
| CN111093252B (en) * | 2019-12-27 | 2021-09-28 | 重庆物奇科技有限公司 | Rapid hierarchical searching method for narrow-band Internet of things NB-IoT |
| CN112039811B (en) * | 2020-07-01 | 2023-06-30 | 武汉梦芯科技有限公司 | Calculation method in time-frequency synchronization process |
| CN112039816B (en) * | 2020-07-31 | 2022-08-16 | 中国电子科技集团公司第七研究所 | Downlink synchronization method for narrow-band Internet of things system |
| CN113422748B (en) * | 2021-06-23 | 2022-07-26 | 广州粒子微电子有限公司 | Method and device for estimating frequency offset in narrowband Internet of things and storage medium |
| CN113709857B (en) * | 2021-08-26 | 2022-10-11 | 中山大学 | Downlink synchronous preprocessing method for narrow-band Internet of things system |
| CN114567532A (en) * | 2021-10-18 | 2022-05-31 | 北京智联安科技有限公司 | Optimization method applied to NB-IoT fine synchronization |
| CN116962123B (en) * | 2023-09-20 | 2023-11-24 | 大尧信息科技(湖南)有限公司 | Raised cosine shaping filter bandwidth estimation method and system of software defined framework |
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| CN110798304B (en) | 2021-10-01 |
| CN111342948B (en) | 2022-01-28 |
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| CN111106892A (en) | 2020-05-05 |
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| CN110798304A (en) | 2020-02-14 |
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