WO2016184155A1

WO2016184155A1 - Method of processing timing offset and device utilizing same

Info

Publication number: WO2016184155A1
Application number: PCT/CN2016/071364
Authority: WO
Inventors: 张新
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-05-21
Filing date: 2016-01-19
Publication date: 2016-11-24
Also published as: CN106304313A

Abstract

A method of processing timing offset and device utilizing the same. The method of processing timing offset comprises the following steps: obtaining a sequence H1; obtaining, according to the sequence H1, a metric sequence P(k), and obtaining a maximum metric value Power of the metric sequence P(k); calculating, according to a signal subset S(x1) and a noise subset NI(x2) of the maximum metric value Power obtained from the metric sequence P(k), a characteristic metric value NIPower of the noise subset NI(x2); calculating, according to the maximum value Power, the characteristic metric value NIPower, a noise interference threshold T1 and a search threshold T2, a primary path location; and calculating according to the primary path location a timing offset of a user equipment. The technical solution is adopted to estimate a positive or negative timing offset, and delivers a timing offset having increased accuracy.

Description

Timing offset processing method and device

Technical field

This document relates to, but is not limited to, the field of mobile communication technologies, and in particular, to a method and apparatus for processing timing offset.

Background technique

In the Long Term Evolution (LTE) and the LTE-Advanced (LTE-A) system, the user equipment (User Equipment, referred to as the “Evolved NodeB” (eNB or eNodeB) needs to be used for uplink synchronization. The uplink signals sent by the UE can arrive at the base station synchronously, so the timing offset of each UE must be estimated, and then the UE is notified by the downlink command to adjust the transmission time. The timing offset of the UE is usually measured on a Physical Random Access Channel (PRACH), a Physical Uplink Shared Channel (PUSCH), and a Sounding Reference Signal (SRS).

The methods for obtaining the timing offset mainly include the frequency domain and the time domain. The frequency domain method uses the frequency domain phase of the channel estimation to calculate the time offset. The time domain method converts the channel estimation value into the time domain by a certain method. The timing offset is calculated according to the amplitude of the time domain, but the accuracy of the timing offset calculated by these methods is not high, and for the time domain method, it is only applicable to the positive time offset, and there is no processing for the negative time bias.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

Embodiments of the present invention provide a method and apparatus for processing timing offsets, which can prevent timing offset estimation from being applied only to timing offset and can improve the accuracy of timing offset estimation.

The embodiment of the invention provides a processing method for timing offset, and the processing method for the timing offset includes the following steps:

Obtaining an H1 sequence, where the H1 sequence is a sequence obtained by conjugateing a frequency domain signal of a user equipment received by a base station on a predetermined channel with a reference signal sequence;

Obtaining a metric sequence P(k) according to the H1 sequence, and acquiring a maximum metric value Power of the metric sequence P(k);

Obtaining a signal subset S(x1) and a noise subset NI(x2) of the metric sequence P(k) according to the maximum metric value Power, and calculating a characteristic metric value NIPower of the noise subset NI(x2);

Calculating a first path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2;

Calculating a timing offset of the user equipment according to the first path position value.

Optionally, the signal subset S(x1) and the noise subset NI(x2) of the metric sequence P(k) are obtained according to the maximum metric value Power, and the noise subset NI(x2) is calculated. The steps of the feature metric NIPower include:

Obtaining a left window length w1, a right window length w2, and a minimum index value MaxPidx corresponding to the maximum metric value Power of the metric sequence P(k), according to the left window length w1, the right window length w2, and the minimum index value MaxPidx Obtaining a subset of signals S(x1);

Obtaining the noise subset NI(x2) according to the signal subset S(x1);

Obtaining a maximum metric of the noise subset NI(x2) or calculating an average metric of the noise subset NI(x2) as the feature metric NIPower.

Optionally, the step of calculating the first path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2 includes:

Determining whether the ratio of the maximum metric value Power to the feature metric value NIPower is less than the noise interference threshold value T1;

If yes, the minimum index value MaxPidx is used as the first path position value;

If not, obtaining a minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1), and acquiring the first path position value according to the minimum index value T2idx.

Optionally, the step of acquiring the metric sequence P(k) according to the H1 sequence and acquiring the maximum metric value Power of the metric sequence P(k) includes:

Adding a frequency point to both ends of the H1 sequence to obtain an H2(k) sequence, wherein the length of the H2(k) sequence is M;

Converting the H2(k) sequence to the time domain to obtain a time domain h1(k) sequence, where k=0, . . . , M-1;

The metric sequence P(k) is obtained according to the time domain h1(k) sequence, and the maximum metric value Power of the metric sequence P(k) is obtained.

Optionally, the step of acquiring the metric sequence P(k) according to the time domain h1(k) sequence includes:

Obtaining a search sequence h2(k) of the user equipment according to the time domain h1(k) sequence;

The modulo square of the search sequence h2(k) is taken as the metric sequence P(k).

In addition, the embodiment of the present invention further provides a processing device for timing offset, where the processing device for the timing offset includes:

a first acquiring module, configured to acquire an H1 sequence, where the H1 sequence is a sequence obtained by conjugateing a frequency domain signal of a user equipment received by a base station on a predetermined channel with a reference signal sequence;

a second obtaining module, configured to acquire a metric sequence P(k) according to the H1 sequence, and obtain a maximum metric value Power of the metric sequence P(k);

a first calculating module, configured to acquire a signal subset S(x1) and a noise subset NI(x2) of the metric sequence P(k) according to the maximum metric value Power, and calculate the noise subset NI(x2) Characteristic metric NIPower;

a second calculating module, configured to calculate a first path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2;

The third calculating module is configured to calculate a timing offset of the user equipment according to the first path position value.

Optionally, the first computing module includes:

a first acquiring unit, configured to acquire a left window length w1, a right window length w2, and a minimum index value MaxPidx corresponding to the maximum metric value Power of the metric sequence P(k), according to the left window length w1, the right window Long w2 and minimum index value MaxPidx obtain signal subset S(x1);

a second acquiring unit, configured to acquire the noise subset NI(x2) according to the signal subset S(x1);

The calculating unit is configured to acquire a maximum metric value of the noise subset NI(x2) or calculate an average metric value of the noise subset NI(x2) as the feature metric value NIPower.

Optionally, the second calculating module includes:

a determining unit, configured to determine whether a ratio of the maximum metric value Power to the feature metric value NIPower is less than the noise interference threshold value T1;

a first processing unit, configured to be, if yes, using the minimum index value MaxPidx as the first path position value;

The second processing unit is configured to acquire a minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1), and obtain the first path position value according to the minimum index value T2idx.

Optionally, the second obtaining module includes:

An increasing unit, configured to add a frequency point at both ends of the H1 sequence to obtain an H2(k) sequence, wherein the length of the H2(k) sequence is M;

a conversion unit configured to convert the H2(k) sequence to a time domain to obtain a time domain h1(k) sequence, wherein k=0, . . . , M-1;

The third obtaining unit is configured to acquire the metric sequence P(k) according to the time domain h1(k) sequence, and acquire the maximum metric value Power of the metric sequence P(k).

Optionally, the third obtaining unit is configured to obtain a metric sequence P(k) according to the time domain h1(k) sequence: acquiring a user equipment search according to the time domain h1(k) sequence The sequence h2(k); the modulus square of the search sequence h2(k) is taken as the metric sequence P(k).

The embodiment of the invention further provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the above method.

A method and a device for processing a timing offset are obtained by using a H1 sequence obtained by multiplying a frequency domain signal of a user equipment on a predetermined channel by a conjugate of a reference signal sequence to obtain a corresponding metric sequence P(k) and a metric. The maximum metric Power of the sequence P(k), the characteristic metric NIPower of the noise subset NI(x2) of the metric sequence P(k), the maximum metric Power and the characteristic metric NIPower and the noise interference threshold T1 or search The threshold threshold value T2 is compared to calculate the first-path position value, and the timing offset of the user equipment is calculated according to the first-path position value. In the embodiment of the present invention, a positive timing offset can be calculated. The shift amount can be calculated to obtain a negative timing offset, and the timing offset calculated by the method of the embodiment of the present invention has high accuracy.

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

BRIEF abstract

1 is a schematic flowchart of a method for processing a timing offset according to an embodiment of the present invention;

2 is a schematic diagram of a refinement process of step S102 in FIG. 1;

3 is a schematic diagram showing the refinement process of step S103 in FIG. 1;

4 is a schematic diagram of a refinement process of step S104 in FIG. 1;

FIG. 5 is a schematic diagram of functional modules of a timing offset processing apparatus according to an embodiment of the present invention; FIG.

6 is a schematic diagram of a refinement function module of the second acquisition module in FIG. 5;

7 is a schematic diagram of a refinement function module of the first calculation module in FIG. 5;

FIG. 8 is a schematic diagram of a refinement function module of the second calculation module in FIG. 5.

Embodiments of the invention

It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

An embodiment of the present invention provides a method for processing a timing offset, where the method includes a base station. The device includes a base station. Referring to FIG. 1, in an embodiment, the method for processing the timing offset includes:

Step S101, acquiring an H1 sequence;

In this embodiment, the H1 sequence is a sequence obtained by multiplying a frequency domain signal of a user equipment received by a base station on a predetermined channel and a reference signal sequence.

In this embodiment, the predetermined channel is a physical random access channel or a physical uplink shared channel or a sounding reference channel. The reference signal sequence is optionally a Zadoff-Chu sequence.

Step S102, acquiring a metric sequence P(k) according to the H1 sequence, and acquiring a maximum metric value Power of the metric sequence P(k);

In this embodiment, the two ends of the H1 sequence are processed, and corresponding frequency points are added at both ends, so that The length of the sequence after the frequency increase is M, and then the sequence after the frequency increase is converted to the time domain, and then the search sequence is determined by the sequence converted to the time domain according to the configuration of the system. In this embodiment, the search is performed. The sequence obtains a metric sequence, for example, the metric series can be obtained by calculating the modulus of the search sequence, or the power sequence can be selected as the metric sequence: the metric series is obtained by calculating the modulo square of the search sequence.

In this embodiment, in the maximum metric value Power of the metric sequence P(k), the maximum metric Power of the metric sequence P(k) may correspond to one or more index values. By finding the maximum metric Power of the metric sequence P(k), the signal transmitted by the user equipment can be divided into signals and noise.

Step S103, acquiring a signal subset S(x1) and a noise subset NI(x2) of the metric sequence P(k) according to the maximum metric value Power, and calculating a characteristic metric value of the noise subset NI(x2) NIPower;

In this embodiment, the metric sequence P(k) has the strongest position at which the metric value is the strongest. Therefore, the metric sequence P(k) can be determined according to the corresponding index value at the largest metric value Power in the metric sequence P(k). The signal subset S(x1) and the noise subset NI(x2).

In this embodiment, the left window length and the right window length can be obtained by simulation or according to actual conditions, according to the left window length, the right window length, and the minimum corresponding to the largest metric value Power in the metric sequence P(k). The index value is used to determine the signal subset S(x1), and then a portion of the sequence other than the signal subset S(x1) in the metric sequence P(k) is taken as the noise subset NI(x2).

In this embodiment, in calculating the feature metric value NIPower of the noise subset NI(x2), the maximum metric value of the noise subset NI(x2) may be taken, or the average metric value of the noise subset NI(x2) may be calculated as a feature. The metric NIPower, the feature metric NIPower is used to characterize the size of the noise signal corresponding to the noise subset NI(x2).

Step S104, calculating a first-path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2;

In this embodiment, the noise interference threshold T1 and the search threshold threshold T2 are optionally obtained by simulation, and the corresponding noise interference threshold T1 and the search threshold threshold T2 may be determined according to different scenarios. When the first path position is calculated for the first time, the noise interference threshold T1 and the search threshold threshold T2 are obtained for subsequent use.

In this embodiment, if the noise power of the signal sent by the user equipment is large and the signal power is small, Then, the first path position value Fidx is determined according to the noise interference threshold value T1; if the noise power of the signal transmitted by the user equipment is small and the signal power is large, the first path position value Fidx is determined by searching the threshold threshold value T2.

Step S105: Calculate a timing offset of the user equipment according to the first path position value.

In this embodiment, if the first-path position value Fidx<M/2, the timing offset TAest=Fidx/M*2048; if the first-path position value Fidx>=M/2, the timing offset TAest=(Fidx -M)/M*2048. Therefore, it can be seen that, in this embodiment, a positive timing offset can be calculated, a negative timing offset can be calculated, and the timing offset calculated by the method in this embodiment has a high accuracy. .

The unit of the timing offset TAest is Ts, and 1Ts=0.001/30720 seconds. According to the requirements of the actual application, the timing offset TAest can adopt an appropriate rounding manner, for example, rounding off.

Compared with the related art, in this embodiment, the H1 sequence obtained by multiplying the frequency domain signal of the user equipment on the predetermined channel by the conjugate of the reference signal sequence is obtained to obtain the corresponding metric sequence P(k) and the metric sequence P(k). The maximum metric Power, the characteristic metric NIPower of the noise subset NI(x2) of the metric sequence P(k), the maximum metric Power and the characteristic metric NIPower and the noise interference threshold T1 or the search threshold threshold T2 Comparing to calculate the first-path position value, and calculating the timing offset of the user equipment according to the first-path position value. In this embodiment, a positive timing offset can be calculated, and a negative timing offset can be calculated, and the embodiment is used. The timing offset calculated by the method is more accurate.

In an optional embodiment, as shown in FIG. 2, based on the foregoing embodiment of FIG. 1, the foregoing step S102 includes:

Step S1021, adding a frequency point at both ends of the H1 sequence to obtain an H2(k) sequence, wherein the length of the H2(k) sequence is M;

Step S1022, converting the H2(k) sequence to the time domain to obtain a time domain h1(k) sequence, where k=0, . . . , M-1;

Step S1023: Acquire a metric sequence P(k) according to the time domain h1(k) sequence, and obtain a maximum metric value Power of the metric sequence P(k).

In this embodiment, the two ends of the H1 sequence are processed to obtain an H2(k) sequence. Among them, H1 sequence The result is that the frequency domain signal of the user equipment received by the base station is multiplied by the Zadoff-Chu sequence conjugate in the predetermined channel, and k=0, . . . , M-1, M is the length of the H2(k) sequence.

In this embodiment, the processing of the H1 sequence is mainly to increase the number of frequency domain points at both ends, and increase the value of the point, optionally 0, or fill in the value by other means. For the number of subcarriers of different channel and user equipment signals, the number of frequency domain points added to the H1 sequence is also different: the number of added frequency domain points is considered to be the complexity of implementation, and the resolution of timing offset is considered. .

In this embodiment, for the physical random access channel, according to the LTE and LTE-A protocols, the number of subcarriers occupied by the signal transmitted by the user equipment through the physical random access channel is 864 or 144, and the corresponding Zadoff-Chu sequence length is correspondingly 839 or 139, that is, the length of the H1 sequence of the physical random access channel is 839 or 139, and the length of the H2(k) sequence obtained after the processing may be 864 or 144, or may be an appropriate length according to other rules.

For the physical uplink shared channel and the sounding reference channel, the two ends of the H1 sequence need to be processed such that M>=N/16, where N is the number of FFT points corresponding to the system bandwidth. The processing method is similar to PRACH. The frequency is increased at both ends of the H1 sequence. The value of the optional increase point is 0, or other values are filled. When the added number of points is 0, H1 = H2(k).

In this embodiment, H2(k) is converted to the time domain to obtain h1(k), k=0, . . . , M-1. There are many ways to convert from frequency domain to time domain. The optional Inverse Discrete Fourier Transform (IDFT). According to the system configuration, the search sequence h2(k) of the user equipment is obtained by h1(k). Optionally, the search sequence h2(k) is determined according to the number of code division users and the code division parameters multiplexed in the frequency domain location occupied by the user equipment. If the frequency domain location has other user equipments in addition to the user equipment, the value in h1(k) corresponding to the other user equipment is cleared to obtain h2(k). If the frequency domain location is only the user equipment and there are no other user equipments, then h2(k)=h1(k).

Wherein, the metric sequence P(k) is obtained from h2(k): the metric sequence P(k) is optionally a power sequence, where P(k)=h2(k).*[h2(k)]H, where [h2(k)]H is a conjugate of h2(k). The metric sequence P(k) can also be calculated in other ways, such as the magnitude of h2(k).

In this embodiment, there may be multiple points of the maximum value of the metric sequence P(k), and all points [Power, MaxPidx] of the maximum value of the metric sequence P(k), the maximum metric value Power=P(MaxPidx), The smallest index value is taken as the minimum index value MaxPidx of this embodiment.

In an alternative embodiment, as shown in FIG. 3, based on the embodiment of FIG. 1 above, Step S103 includes:

Step S1031: Obtain a left window length w1, a right window length w2, and a minimum index value MaxPidx corresponding to the maximum metric value Power of the metric sequence P(k), according to the left window length w1, the right window length w2, and the minimum The index value MaxPidx obtains a subset of signals S(x1);

Step S1032, acquiring the noise subset NI(x2) according to the signal subset S(x1);

Step S1033: Acquire a maximum metric value of the noise subset NI(x2) or calculate an average metric value of the noise subset NI(x2) as the feature metric value NIPower.

In this embodiment, the left window length w1 and the right window length w2 of the metric sequence P(k) are obtained, and the left window length w1 and the right window length w2 can be obtained by simulation or according to actual conditions. The signal subset S(x1) is obtained according to the left window length w1, the right window length w2, and the minimum index value MaxPidx, where x1=0, . . . , w1-1. Then part of the sequence other than the signal subset S(x1) in the metric sequence P(k) is taken as the noise subset NI(x2), x2=0,...,ni-1, where ni is the NI sequence length. The feature metric NIpower is obtained by NI(x2). Optionally, the feature metric NIpower may take the largest metric of the noise subset NI(x2) or calculate the average metric of the noise subset NI(x2) as the feature metric NIPower (the average metric must be non-zero) ).

In this embodiment, the optional calculation of the signal subset S(x1) and the noise subset NI(x2) is as follows:

When MaxPidx>=w1:

S(x1)=P(MaxPidx-w1+1:1:MaxPidx); if MaxPidx+w1<=M, then NI(x2)=[P(0:1:MaxPidx-w1); P(MaxPidx+w2: 1:M-1)]; If MaxPidx+w1>M, then NI(x2)=P(MaxPidx+w2-M:1:MaxPidx-w1);

When MaxPidx<w1:

S(x1)=[P(M-(w1-MaxPidx)+2:1:M-1); P(0:1:MaxPidx)],NI(x2)=P(MaxPidx+w2:1:M- (w1-MaxPidx)+1);

Where (a:1:b) represents each index value between the index value a and the index value b.

In an optional embodiment, as shown in FIG. 4, based on the foregoing embodiment of FIG. 3, the foregoing step S104 includes:

Step S1041, determining whether the ratio of the maximum metric value Power and the feature metric value NIPower is less than the noise interference threshold value T1; if yes, proceeding to step S1042, and if not, proceeding to step S1043;

Step S1042, using the minimum index value MaxPidx as the first path position value, and the process ends;

Step S1043: Acquire a minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1), obtain the first path position value according to the minimum index value T2idx, and the process ends.

In this embodiment, if Power/NIpower<T1, the first path position value is Fidx=MaxPidx; if Power/NIpower>=T1, the minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1) is obtained. And obtain S(T2idx) corresponding to the index TP2idx of the metric P(k), the first path position Fidx=TP2idx.

In this embodiment, the noise interference threshold T1 and the search threshold threshold T2 are optionally obtained by simulation, and the corresponding noise interference threshold T1 and the search threshold threshold T2 may also be determined according to different scenarios.

The embodiment of the present invention further provides a processing device for timing offset. As shown in FIG. 5, the processing device for the timing offset includes:

The first obtaining module 101 is configured to acquire an H1 sequence, where the H1 sequence is a sequence obtained by conjugateing a frequency domain signal of a user equipment received by a base station on a predetermined channel with a reference signal sequence;

The second obtaining module 102 is configured to acquire a metric sequence P(k) according to the H1 sequence, and obtain a maximum metric value Power of the metric sequence P(k);

In this embodiment, the two ends of the H1 sequence are processed, and the corresponding frequency points are added at both ends, so that the length of the sequence after the frequency increase is M, and then the sequence after the frequency increase is converted to the time domain, and then according to The configuration of the system determines the search sequence by converting to the sequence of the time domain. In this embodiment, the metric sequence is obtained by searching the sequence. For example, the metric series can be obtained by calculating the modulus of the search sequence, or the power sequence can be selected as the metric sequence. : by calculating the modulus square of the search sequence Get the metric series.

The first calculating module 103 is configured to acquire a signal subset S(x1) and a noise subset NI(x2) of the metric sequence P(k) according to the maximum metric value Power, and calculate the noise subset NI(x2) Characteristic metric NIPower;

The second calculating module 104 is configured to calculate a first path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2;

In this embodiment, if the noise power of the signal sent by the user equipment is large and the signal power is small, the first-path position value Fidx is determined according to the noise interference threshold value T1; if the noise power of the signal sent by the user equipment is small If the signal power is large, the first-path position value Fidx is determined by searching the threshold threshold value T2.

The third calculating module 105 is configured to calculate a timing offset of the user equipment according to the first path position value.

In an optional embodiment, as shown in FIG. 6, on the basis of the foregoing embodiment of FIG. 5, the second obtaining module 102 includes:

The adding unit 1021 is configured to add a frequency point at both ends of the H1 sequence to obtain an H2(k) sequence, wherein the length of the H2(k) sequence is M;

The converting unit 1022 is configured to convert the H2(k) sequence to the time domain to obtain a time domain h1(k) sequence, where k=0, . . . , M−1;

The third obtaining unit 1023 is configured to acquire the metric sequence P(k) according to the time domain h1(k) sequence, and acquire the maximum metric value Power of the metric sequence P(k).

In this embodiment, the two ends of the H1 sequence are processed to obtain an H2(k) sequence. The H1 sequence is a result of multiplying a frequency domain signal of a user equipment received by a base station on a predetermined channel by a conjugate of a Zadoff-Chu sequence, k=0, . . . , M-1, and M are H2(k) sequences. length.

For the physical uplink shared channel and the sounding reference channel, both ends of the H1 sequence need to be processed. Let M>=N/16, where N is the number of FFT points corresponding to the system bandwidth. The processing method is similar to PRACH. The frequency is increased at both ends of the H1 sequence. The value of the optional increase point is 0, or other values are filled. When the added number of points is 0, H1 = H2(k).

In an optional embodiment, as shown in FIG. 7, on the basis of the foregoing embodiment of FIG. 5, the first calculating module 103 includes:

The first obtaining unit 1031 is configured to acquire a left window length w1, a right window length w2, and a minimum index value MaxPidx corresponding to the maximum metric value Power of the metric sequence P(k), according to the left window length w1, right Window length w2 and minimum index value MaxPidx obtain signal subset S(x1);

The second obtaining unit 1032 is configured to acquire the noise subset NI(x2) according to the signal subset S(x1);

The calculating unit 1033 is configured to acquire a maximum metric value of the noise subset NI(x2) or calculate an average metric value of the noise subset NI(x2) as the feature metric value NIPower.

In this embodiment, the left window length w1 and the right window length w2 of the metric sequence P(k) are obtained, and the left window length w1 and the right window length w2 can be obtained by simulation or according to actual conditions. The signal subset S(x1) is obtained according to the left window length w1, the right window length w2, and the minimum index value MaxPidx, where x1=0, . . . , w1-1. Then take part of the sequence other than the signal subset S(x1) in the metric sequence P(k) Is the noise subset NI(x2), x2=0,..., ni-1, where ni is the length of the NI sequence. The feature metric NIpower is obtained by NI(x2). Optionally, the feature metric NIpower may take the largest metric of the noise subset NI(x2) or calculate the average metric of the noise subset NI(x2) as the feature metric NIPower (the average metric must be non-zero) ).

When MaxPidx>=w1:

When MaxPidx<w1:

In an optional embodiment, as shown in FIG. 8, on the basis of the foregoing embodiment of FIG. 7, the second computing module 104 includes:

The determining unit 1041 is configured to determine whether the ratio of the maximum metric value Power to the feature metric value NIPower is less than the noise interference threshold value T1;

The first processing unit 1042 is configured to: if yes, use the minimum index value MaxPidx as the first path position value;

The second processing unit 1043 is configured to acquire, if not, a minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1), and obtain the first path position value according to the minimum index value T2idx.

One of ordinary skill in the art will appreciate that all or a portion of the above steps may be performed by a program to instruct related hardware, such as a processor, which may be stored in a computer readable storage medium, such as a read only memory, disk or optical disk. Wait. Alternatively, all or part of the steps of the above embodiments may also be implemented using one or more integrated circuits. Correspondingly, each module/unit in the above embodiment may be implemented in the form of hardware, for example, by implementing an integrated circuit to implement its corresponding function, or may be implemented in the form of a software function module, for example, executing a program stored in the memory by a processor. / instruction to achieve its corresponding function. The invention is not limited to any specific form of combination of hardware and software.

It should be understood by those skilled in the art that the present invention may be modified or equivalently substituted without departing from the spirit and scope of the invention.

Industrial applicability

The above technical solution can calculate a positive timing offset, can calculate a negative timing offset, and the calculated timing offset has high accuracy.

Claims

A processing method for timing offset, the processing method of the timing offset includes the following steps:

Obtaining an H1 sequence, where the H1 sequence is a sequence obtained by conjugateing a frequency domain signal of a user equipment received by a base station on a predetermined channel with a reference signal sequence;

Obtaining a metric sequence P(k) according to the H1 sequence, and acquiring a maximum metric value Power of the metric sequence P(k);

Obtaining a signal subset S(x1) and a noise subset NI(x2) of the metric sequence P(k) according to the maximum metric value Power, and calculating a characteristic metric value NIPower of the noise subset NI(x2);

Calculating a first path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2;

Calculating a timing offset of the user equipment according to the first path position value.
The processing method of timing offset according to claim 1, wherein said acquiring a subset of signals S(x1) and a subset of noise NI(x2) of said metric sequence P(k) according to said maximum metric value Power The steps of calculating the characteristic metric NIPower of the noise subset NI(x2) include:

Obtaining a left window length w1, a right window length w2, and a minimum index value MaxPidx corresponding to the maximum metric value Power of the metric sequence P(k), according to the left window length w1, the right window length w2, and the minimum index value MaxPidx Obtaining a subset of signals S(x1);

Obtaining the noise subset NI(x2) according to the signal subset S(x1);

Obtaining a maximum metric of the noise subset NI(x2) or calculating an average metric of the noise subset NI(x2) as the feature metric NIPower.
The method for processing a timing offset according to claim 2, wherein said calculating a position of the first diameter position according to said maximum metric value Power, characteristic metric value NIPower, noise interference threshold value T1, and search threshold threshold value T2 The steps include:

Determining whether the ratio of the maximum metric value Power to the feature metric value NIPower is less than the noise interference threshold value T1;

If yes, the minimum index value MaxPidx is used as the first path position value;

If not, obtaining a minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1), and acquiring the first path position value according to the minimum index value T2idx.
The processing method of timing offset according to claim 1, wherein the step of acquiring the metric sequence P(k) according to the H1 sequence and acquiring the maximum metric value Power of the metric sequence P(k) comprises:

Adding a frequency point to both ends of the H1 sequence to obtain an H2(k) sequence, wherein the length of the H2(k) sequence is M;

Converting the H2(k) sequence to the time domain to obtain a time domain h1(k) sequence, where k=0, . . . , M-1;

The metric sequence P(k) is obtained according to the time domain h1(k) sequence, and the maximum metric value Power of the metric sequence P(k) is obtained.
The processing method of timing offset according to claim 4, wherein the step of acquiring the metric sequence P(k) according to the time domain h1(k) sequence comprises:

Obtaining a search sequence h2(k) of the user equipment according to the time domain h1(k) sequence;

The modulo square of the search sequence h2(k) is taken as the metric sequence P(k).
A timing offset processing device, the timing offset processing device comprising:

a first acquiring module, configured to acquire an H1 sequence, where the H1 sequence is a sequence obtained by conjugateing a frequency domain signal of a user equipment received by a base station on a predetermined channel with a reference signal sequence;

a second obtaining module, configured to acquire a metric sequence P(k) according to the H1 sequence, and obtain a maximum metric value Power of the metric sequence P(k);

a first calculating module, configured to acquire a signal subset S(x1) and a noise subset NI(x2) of the metric sequence P(k) according to the maximum metric value Power, and calculate the noise subset NI(x2) Characteristic metric NIPower;

a second calculating module, configured to calculate a first path position value according to the maximum metric value Power, the feature metric value NIPower, the noise interference threshold value T1, and the search threshold threshold value T2;

The third calculating module is configured to calculate a timing offset of the user equipment according to the first path position value.
The timing offset processing apparatus of claim 6, wherein the first calculation module comprises:

a first acquiring unit, configured to acquire a left window length w1, a right window length w2, and a minimum index value MaxPidx corresponding to the maximum metric value Power of the metric sequence P(k), according to the left window length w1, the right window Long w2 and minimum index value MaxPidx obtain signal subset S(x1);

a second acquiring unit, configured to acquire the noise subset NI(x2) according to the signal subset S(x1);

The calculating unit is configured to acquire a maximum metric value of the noise subset NI(x2) or calculate an average metric value of the noise subset NI(x2) as the feature metric value NIPower.
The timing offset processing apparatus of claim 7, wherein the second calculation module comprises:

a determining unit, configured to determine whether a ratio of the maximum metric value Power to the feature metric value NIPower is less than the noise interference threshold value T1;

a first processing unit, configured to be, if yes, using the minimum index value MaxPidx as the first path position value;

The second processing unit is configured to acquire a minimum index value T2idx corresponding to Power/T2 in the signal subset S(x1), and obtain the first path position value according to the minimum index value T2idx.
The apparatus for processing a timing offset according to claim 6, wherein the second acquisition module comprises:

An increasing unit, configured to add a frequency point at both ends of the H1 sequence to obtain an H2(k) sequence, wherein the length of the H2(k) sequence is M;

a conversion unit configured to convert the H2(k) sequence to a time domain to obtain a time domain h1(k) sequence, wherein k=0, . . . , M-1;

The third obtaining unit is configured to acquire the metric sequence P(k) according to the time domain h1(k) sequence, and acquire the maximum metric value Power of the metric sequence P(k).
The timing offset processing apparatus according to claim 9, wherein said third obtaining unit is configured to obtain a metric sequence P(k) according to said time domain h1(k) sequence by:

Obtaining a search sequence h2(k) of the user equipment according to the time domain h1(k) sequence; The modulus square of the sequence h2(k) is taken as the metric sequence P(k).
A computer storage medium having stored therein computer executable instructions for performing the method of any one of claims 1 to 5.