CN115866716A - Frequency sweeping method, device and medium - Google Patents
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Abstract
The disclosure relates to a frequency sweeping method, a frequency sweeping device and a frequency sweeping medium, which are applied to the technical field of communication and used for rapidly scanning a target frequency band of a terminal. The frequency sweeping method comprises the following steps: determining r sub-frequency bands; the following operations are performed in each sub-band in turn: receiving a time domain signal and acquiring a frequency domain signal of the time domain signal; determining s sub-bands in each sub-band, and determining t detection frequency points in the s sub-bands; acquiring a time domain signal PSS correlation peak value of a frequency domain signal on t detection frequency points; determining n detection frequency points in the t detection frequency points; determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points; acquiring a time domain signal PSS related peak value of a frequency domain signal on two adjacent detection frequency points of n detection frequency points; and determining q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each detection frequency point in the n detection frequency points. The method disclosed by the invention can ensure the accuracy of frequency spectrum scanning and accelerate the scanning speed.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a frequency sweeping method, apparatus, and medium.
Background
The LTE (Long Term Evolution) supports multiple bandwidth allocation and flexible spectrum allocation modes, and divides spectrum resources allocated by the ITU (International Telecommunication Union) into a plurality of frequency bands such as bands 1 to 44, wherein the band41 has a spectrum width of 194MHz. The carrier center frequency point is usually an integer multiple of the Channel raster. The terminal equipment scans all frequency points in the frequency band, namely frequency sweeping, counts characteristic parameters of all the frequency points, finds the carrier central frequency point, and accesses the base station according to the carrier central frequency point.
In the frequency sweeping mode in the related art, usually, a frequency band is scanned in segments, access is attempted to the dominant frequency points in the frequency band, and if the access is unsuccessful, the next frequency band segment is scanned until a whole frequency band is scanned, so that when the optimal access frequency point is in the last frequency band segment, the whole frequency band needs to be scanned, and multiple access attempts are needed to confirm the frequency point found by scanning as a central frequency point. The method has the disadvantages of long scanning time, complex flow, more involved modules and difficulty in stably, quickly and accurately finding the central frequency point.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a frequency sweeping method, apparatus, and medium.
According to a first aspect of the embodiments of the present disclosure, a frequency sweeping method is provided, which is applied to a terminal, and the method includes:
determining r sub-bands, wherein the r sub-bands are obtained by dividing a target frequency band scanned by the terminal;
sequentially performing the following operations in each of the sub-bands:
receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
determining s sub-bands in each sub-band, and determining t detection frequency points in the s sub-bands;
acquiring the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points;
determining n detection frequency points in the t detection frequency points;
determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
acquiring the relevant peak value of the time domain signal PSS of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points;
determining q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
wherein r, s, t, n and q are positive integers more than 1, and n is less than t.
In an exemplary embodiment, the determining q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each of the n detection frequency points includes:
determining p detection frequency points, wherein the time domain signal PSS correlation peak values of the frequency domain signal on the p detection frequency points are the time domain signal PSS correlation peak values of the frequency domain signal on the n detection frequency points and the highest front p bits in the time domain signal PSS correlation peak values on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
determining q detection frequency points in the p detection frequency points of all the sub-frequency bands, wherein the peak-to-average ratio of the frequency domain signal on the q detection frequency points is greater than a preset threshold value, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the q detection frequency points is the top q bits of the relevant peak value of the time domain signal PSS of the frequency domain signal on the p detection frequency points of all the sub-frequency bands.
In an exemplary embodiment, the determining s subbands in each of the subbands includes:
dividing each sub-frequency band into a plurality of sub-bands;
obtaining a total power within each of the plurality of sub-bands;
and determining the s sub-bands based on the total power in each sub-band, wherein the unit power of the s sub-bands is the highest first s bits in the unit power of the plurality of sub-bands, and the unit power is the power in a set frequency band unit.
In an exemplary embodiment, the determining t detection frequency points in the s subbands includes:
sequencing the frequency points of the channel grid in each sub-band in the s sub-bands, and selecting the frequency points with the sequence number of 3 x m in each sub-band to form the t detection frequency points;
m is a natural number.
In an exemplary embodiment, the determining n detection frequency points of the t detection frequency points includes:
determining n detection frequency points in the t detection frequency points by one of the following two ways:
determining the first n detection frequency points of the frequency domain signal on the t detection frequency points, wherein the time domain signal PSS correlation peak value of the frequency domain signal is the highest;
and determining the detection frequency point with the highest correlation peak value of the time domain signal PSS on the frequency domain signal in each sub-band of s sub-bands, wherein the detection frequency points with the highest correlation peak value of the time domain signal PSS on the frequency domain signal in the sub-bands of s sub-bands form the n detection frequency points.
In an exemplary embodiment, the method further comprises:
and reporting the q detection frequency points.
According to a second aspect of the embodiments of the present disclosure, there is provided a frequency sweeping device applied to a terminal, the device including:
a first determining module configured to determine r sub-bands, where the r sub-bands are obtained by dividing a target frequency band scanned by the terminal;
an execution module configured to perform the following operations within each of the sub-bands in turn:
receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
determining s sub-bands in each sub-band, and determining t detection frequency points in the s sub-bands;
acquiring the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points;
determining n detection frequency points in the t detection frequency points;
determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
acquiring the relevant peak value of the time domain signal PSS of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points;
a second determining module configured to determine q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each of the n detection frequency points;
wherein r, s, t, n and q are all positive integers greater than 1, and n is less than t.
In an exemplary embodiment, the second determination module is further configured to:
determining p detection frequency points, wherein the time domain signal PSS correlation peak values of the frequency domain signal on the p detection frequency points are the time domain signal PSS correlation peak values of the frequency domain signal on the n detection frequency points and the highest front p bits in the time domain signal PSS correlation peak values on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
determining q detection frequency points in the p detection frequency points of all the sub-frequency bands, wherein the peak-to-average ratio of the frequency domain signal on the q detection frequency points is greater than a preset threshold value, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the q detection frequency points is the top q bits of the relevant peak value of the time domain signal PSS of the frequency domain signal on the p detection frequency points of all the sub-frequency bands.
In an exemplary embodiment, the execution module is further configured to:
dividing each sub-frequency band into a plurality of sub-bands;
obtaining a total power in each of the plurality of sub-bands;
and determining the s sub-bands based on the total power in each sub-band, wherein the unit power of the s sub-bands is the highest first s bits in the unit power of the plurality of sub-bands, and the unit power is the power in a set frequency band unit.
In an exemplary embodiment, the execution module is further configured to:
sequencing the frequency points of the channel grid in each sub-band in the s sub-bands, and selecting the frequency points with the sequence number of 3 x m in each sub-band to form the t detection frequency points;
m is a natural number.
In an exemplary embodiment, the execution module is further configured to:
determining n detection frequency points in the t detection frequency points by one of the following two ways:
in a first mode, determining the first n detection frequency points of the frequency domain signal with the highest correlation peak value of the time domain signal PSS on the t detection frequency points;
and determining the detection frequency point of the frequency domain signal with the highest time domain signal PSS correlation peak value in each sub-band of the s sub-bands, acquiring s detection frequency points, and determining the first n detection frequency points of the frequency domain signal with the highest time domain signal PSS correlation peak value on the s detection frequency points.
In an exemplary embodiment, the apparatus further comprises:
and the reporting module is configured to report the q detection frequency points.
According to a third aspect of the embodiments of the present disclosure, there is provided a frequency sweeping apparatus, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method according to any one of the first aspect of the embodiments of the present disclosure.
According to a fourth aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, wherein instructions, when executed by a processor of an apparatus, enable the apparatus to perform the method according to any one of the first aspect of the embodiments of the present disclosure.
By adopting the method disclosed by the invention, the following beneficial effects are achieved: according to the frequency sweeping method disclosed by the disclosure, when the sub-frequency bands are scanned, the detection frequency point with the strongest relevant peak value of the time domain signal PSS is selected from the sub-bands through time-frequency conversion and sub-band division, so that the detection frequency point with the strongest signal in the target frequency band is determined, scanning of all frequency points in the target frequency band can be avoided, the scanning speed is accelerated, meanwhile, the accuracy of frequency spectrum scanning can be guaranteed through selection of the detection frequency point, and the scanning of obtaining the frequency point with poor signal quality and access attempt for multiple times are avoided.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow chart illustrating a frequency sweep method in accordance with an exemplary embodiment;
fig. 2 is a flowchart illustrating a method for determining q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each detection frequency point in the n detection frequency points in step S109 according to an exemplary embodiment;
fig. 3 is a flowchart illustrating a method for determining S subbands in each of the subbands in step S104 according to an exemplary embodiment;
FIG. 4 is a flow chart illustrating a frequency sweep method in accordance with an exemplary embodiment;
FIG. 5 is a block diagram of a frequency sweep apparatus, shown in accordance with an exemplary embodiment;
fig. 6 is a block diagram illustrating a frequency sweeping apparatus according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In the related technology, a frequency band is divided into a plurality of sub-frequency bands, all frequency points in each sub-frequency band are scanned in sequence, detection quantities such as a Received Signal Strength Indication (RSSI) value, a Power System Stabilizer (PSS) related peak, synchronous Signal detection and the like at each frequency point are counted, whether the detection quantity of each frequency point exceeds a preset value is determined, the frequency points exceeding the preset value are reported to a high-level protocol stack of a terminal, the high-level protocol stack tries to access a base station or carries out synchronous verification by using the frequency points, and when the access is successful or the synchronous verification is successful, the scanning is completed; and when the access is unsuccessful or the synchronous verification is unsuccessful, sequentially scanning the rest frequency points in the sub-frequency band, and sequentially scanning the rest sub-frequency band after the sub-frequency band is scanned until the whole frequency band is scanned.
The sweep method in the related art has the following disadvantages:
1. when the frequency point position meeting the condition is back, all frequency points in the sub-band need to be scanned, even all frequency points in the complete frequency band need to be scanned, so that the situation that the whole sub-band and even the whole frequency band need to be scanned completely exists, and the performance of the frequency spectrum scanning time is unstable;
2. multiple attempts for access are needed in the spectrum scanning process, and the complexity of terminal software scheduling is increased because more terminal modules are involved in the access process and the access process is not decoupled from other modules.
3. After a certain frequency sub-band is searched, if the attempt of accessing the base station/the synchronization verification is successful, the found frequency point is only the frequency point with the strongest signal in the frequency sub-band, but not necessarily the frequency point with the strongest signal in the whole frequency band, so that the accuracy of frequency spectrum scanning cannot be ensured.
In an exemplary embodiment of the disclosure, a frequency sweeping method is provided, and is applied to a terminal, where the terminal includes electronic devices such as a smart phone, a tablet, and an intelligent wearable device. Fig. 1 is a flow chart illustrating a frequency sweeping method according to an exemplary embodiment, as shown in fig. 1, including the steps of:
step S101, determining r sub-bands, wherein the r sub-bands are obtained by dividing a target frequency band scanned by the terminal;
step S102, executing steps S103-S108 in each sub-frequency band in turn:
step S103, receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
step S104, determining S sub-bands in each sub-band, and determining t detection frequency points in the S sub-bands;
step S105, acquiring the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points;
step S106, determining n detection frequency points in the t detection frequency points;
s107, determining two adjacent detection frequency points of each detection frequency point in n detection frequency points;
step S108, acquiring a time domain signal PSS related peak value of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points;
step S109, based on the n detection frequency points and two adjacent detection frequency points of each detection frequency point in the n detection frequency points, determining q detection frequency points.
Wherein r, s, t, n and q are all positive integers greater than 1, and n is less than t.
In an exemplary embodiment of the present disclosure, in order to overcome the problems in the related art, a frequency sweep method is provided. Dividing a target frequency band scanned by a terminal to obtain r sub-frequency bands; performing operations within each sub-band in turn: receiving a time domain signal, acquiring a frequency domain signal of the time domain signal, determining s sub-bands in each sub-band, determining t detection frequency points in each sub-band, acquiring time domain signal PSS (power system synchronization) related peaks of the frequency domain signal on the t detection frequency points, determining n detection frequency points in the t detection frequency points, determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points, acquiring time domain signal PSS related peaks of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points, and determining q detection frequency points based on the n detection frequency points and the two adjacent detection frequency points of each detection frequency point in the n detection frequency points. Wherein r, s, t, n and q are positive integers more than 1, and n is less than t. According to the frequency sweeping method disclosed by the disclosure, when the sub-frequency bands are scanned, the detection frequency point with the strongest relevant peak value of the time domain signal PSS is selected from the sub-bands through time-frequency conversion and sub-band division, so that the detection frequency point with the strongest signal in the target frequency band is determined, scanning of all frequency points in the target frequency band can be avoided, the scanning speed is accelerated, meanwhile, the accuracy of frequency spectrum scanning can be guaranteed through selection of the detection frequency point, and the scanning of obtaining the frequency point with poor signal quality and access attempt for multiple times are avoided.
In step S101, a target frequency band scanned by the terminal is divided into r frequency sub-bands, each frequency sub-band has the same width, and a value of r is an empirical value and can be determined according to an actual situation. For example, when band1 defined by the protocol TS36.101 is scanned, the bandwidth of the target frequency band is 60MHz, and when the sub-band is divided according to the bandwidth of 16.8MHz, the sub-band can be divided into 4 sub-bands. It can be understood that, when the detection frequency points are selected from each sub-frequency band for scanning, the larger the value of r is, the more frequency points need to be scanned, and the longer the scanning time needs to be.
In steps S102-S108, each sub-band is sequentially selected, and the following operations are sequentially performed in each sub-band:
receiving a time domain signal, wherein the receiving duration of the time domain signal is an empirical value, and can be determined according to actual requirements, for example, receiving time domain data of 0 to 3 seconds in a first sub-band, receiving time domain data of 3 to 6 seconds in a second sub-band, and so on, performing time-frequency conversion on the received time domain signal to obtain a frequency domain signal corresponding to the time domain signal, and for example, converting the time domain signal into the frequency domain signal through fourier transform.
Equally dividing each sub-band to obtain a plurality of sub-bands, wherein the width of each sub-band is an empirical value, and can be determined according to actual requirements, for example, dividing the sub-band with the width of 1.2MHz, determining s sub-bands in each sub-band, wherein the s sub-bands can be all sub-bands in the sub-bands or a plurality of sub-bands with higher power selected in the sub-bands, sequentially selecting each sub-band in the s sub-bands, selecting a detection frequency point meeting the actual requirements in each sub-band according to a communication protocol, and determining t detection frequency points in the s sub-bands. The method for determining the s subbands in each subband can be determined according to actual requirements, for example, the RSSI value of the time domain signal of each subband in the subband is calculated, and the s subbands with the maximum RSSI value are selected; for example, the total power of the frequency domain signal of each sub-band in the sub-band is calculated, and s sub-bands with the largest power values are selected.
Based on the obtained frequency domain signals, determining the time domain signal PSS correlation peak values of the frequency domain signals on t detection frequency points respectively, namely calculating the PSS correlation peak values after performing digital down-conversion on the detection frequency points, for example, if the frequency corresponding to a certain detection frequency point is 1.7MHz, performing digital frequency shifting on the frequency point signals by using local oscillation signals generated by 1.7MHz, and calculating the PSS correlation peak values of the frequency-converted signals, namely the time domain signal PSS correlation peak values. After the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points are determined, n detection frequency points are selected from the t detection frequency points according to the relevant peak values of the time domain signal PSS of the t detection frequency points, and the n detection frequency points are the detection frequency points with the highest relevant peak value of the time domain signal PSS. When n detection frequency points are selected, the detection frequency point with the highest correlation peak value of the time domain signal PSS can be selected from each sub-band in sequence, the selected detection frequency points in all the sub-bands form n detection frequency points, and the first n detection frequency points with the highest correlation peak value of the time domain signal PSS can also be directly selected from the t detection frequency points mixed in all the sub-bands. It can be understood that the n detection frequency points in the t detection frequency points are determined to reduce the scanning range of the frequency points in the frequency spectrum scanning, so that the frequency point scanning times are reduced, and therefore, the relation n < t is satisfied.
After n detection frequency points are determined, two adjacent detection frequency points of each detection frequency point in the n detection frequency points are determined, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the two adjacent detection frequency points of each detection frequency point in the n detection frequency points is obtained. For example, when the n detection frequency points include the a-th frequency point on the frequency domain signal, two adjacent detection frequency points of the a-th frequency point are the a-1 st frequency point and the a +1 th frequency point on the frequency domain signal, and the time domain signal PSS correlation peak on the a-1 st frequency point and the time domain signal PSS correlation peak on the a +1 st frequency point of the frequency domain signal are obtained. By acquiring the relevant peak values of the frequency domain signal PSS at two adjacent detection frequency points of the n detection frequency points, the detection frequency point with the highest relevant peak value of the time domain signal PSS can be selected, and therefore the accuracy of frequency spectrum scanning is guaranteed.
In step S109, n detection frequency points in each sub-band and two adjacent detection frequency points of the n detection frequency points, that is, 3 × n detection frequency points, can be determined through the above steps, and therefore, r × 3 × n detection frequency points in r sub-bands of the target frequency band can be determined. And according to the time domain signal PSS correlation peak values of the frequency domain signal on r multiplied by 3 multiplied by n detection frequency points, q detection frequency points meeting the requirement can be determined.
In the exemplary embodiment of the present disclosure, a target frequency band scanned by a terminal is divided to obtain r sub-bands; performing operations within each sub-band in turn: the method comprises the steps of receiving a time domain signal, obtaining a frequency domain signal of the time domain signal, determining s sub-bands in each sub-band, determining t detection frequency points in each sub-band, obtaining time domain signal PSS related peak values of the frequency domain signal on the t detection frequency points, determining n detection frequency points in the t detection frequency points, determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points, obtaining time domain signal PSS related peak values of the frequency domain signal on two adjacent detection frequency points of each detection frequency point in the n detection frequency points, and determining q detection frequency points based on the n detection frequency points and the two adjacent detection frequency points of each detection frequency point in the n detection frequency points. Wherein r, s, t, n and q are all positive integers greater than 1, and n is less than t. According to the frequency sweeping method disclosed by the disclosure, when the sub-frequency bands are scanned, the detection frequency point with the strongest relevant peak value of the time domain signal PSS is selected from the sub-bands through time-frequency conversion and sub-band division, so that the detection frequency point with the strongest signal in the target frequency band is determined, scanning of all frequency points in the target frequency band can be avoided, the scanning speed is accelerated, meanwhile, the accuracy of frequency spectrum scanning can be guaranteed through selection of the detection frequency point, and the scanning of obtaining the frequency point with poor signal quality and access attempt for multiple times are avoided.
In an exemplary embodiment, fig. 2 is a flowchart illustrating a method for determining q detection frequency points in step S109 based on the n detection frequency points and two adjacent detection frequency points of each detection frequency point in the n detection frequency points, as shown in fig. 2, and includes the following steps:
step S201, determining p detection frequency points in each sub-frequency band, wherein the time domain signal PSS correlation peak values of the frequency domain signals on the p detection frequency points are the time domain signal PSS correlation peak values of the frequency domain signals on the n detection frequency points and the top p bits in the time domain signal PSS correlation peak values on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
step S202, determining q detection frequency points in the p detection frequency points of all the sub-frequency bands, wherein the peak-to-average ratio of the frequency domain signals on the q detection frequency points is larger than a preset threshold value, and the relevant peak value of the time domain signal PSS of the frequency domain signals on the q detection frequency points is the top q bits of the relevant peak value of the time domain signal PSS of the frequency domain signals on the p detection frequency points of all the sub-frequency bands;
the method comprises the steps of determining n detection frequency points in each sub-frequency band and two adjacent detection frequency points of the n detection frequency points, namely determining 3 x n detection frequency points in each sub-frequency band, determining time domain signal PSS (Power System stability) related peaks of frequency domain signals on the 3 x n detection frequency points respectively, sequencing the time domain signal PSS related peaks of the 3 x n detection frequency points from high to low, and selecting the top p bits with the highest time domain signal PSS related peak as the p detection frequency points in each sub-frequency band. And determining the peak-to-average ratio of the frequency domain signal in each sub-frequency band on the p detection frequency points, and selecting the detection frequency points with the peak-to-average ratio larger than a preset threshold value, wherein the preset threshold value is an empirical value and can be determined according to actual requirements. And sequencing the relevant peak values of the time domain signal PSS of the frequency domain signal in each sub-band on the detection frequency points with the peak-to-average ratio larger than a preset threshold value from high to low, and selecting the first q bits with the highest relevant peak value of the time domain signal PSS as the q detection frequency points with the highest relevant peak value of the time domain signal PSS in all the sub-bands, namely the q detection frequency points with the highest relevant peak value of the time domain signal PSS in the target frequency band.
In an exemplary embodiment, fig. 3 is a flowchart illustrating a method for determining S subbands in each of the subbands in step S104 according to an exemplary embodiment, and as shown in fig. 3, the method includes the following steps:
step S301, dividing each sub-frequency band into a plurality of sub-bands;
step S302, obtaining the total power in each sub-band in the plurality of sub-bands;
step S303, determining the S subbands based on the total power in each subband, where the unit power of the S subbands is the top S bits of the unit power of the multiple subbands, and the unit power is the power in a set frequency band unit.
When each sub-band is divided into a plurality of sub-bands, the width of each sub-band is an empirical value, and may be determined according to actual requirements, for example, the width of the sub-band is 1.2MHz. And determining the total power in each sub-band, determining the power of each frequency point in the sub-band with the width of 1.2MHz by a frequency domain signal power calculation method, wherein the sum of the powers of all the frequency points in the sub-band is the total power in each sub-band. Since the remaining sub-band width in the sub-band may be less than 1.2MHz when the sub-band is divided, in order to facilitate comparison of the power of each sub-band, the unit power in each sub-band is calculated based on the total power in each sub-band, that is, the power in the set frequency band unit is calculated, and the power in the set frequency band unit is determined according to the actual requirement. And sequencing the unit power of each sub-band from high to low, wherein the first s bits with the highest unit power are the determined s sub-bands, and the value of s is an empirical value and can be determined according to actual requirements.
In an exemplary embodiment, the determining t detection frequency points in the S subbands in step S104 includes:
sequencing the frequency points of the channel grid in each sub-band in the s sub-bands, and selecting the frequency points with the sequence number of 3 x m in each sub-band to form the t detection frequency points; m is a natural number.
According to a communication protocol, the frequency point of the channel grid is a 100kHz frequency point, the 100kHz frequency points in each sub-band are sequenced, the serial number of each 100kHz frequency point is marked, the frequency point with the serial number of 3 x m in each sub-band is selected, namely the frequency points with the serial numbers of 0, 3, 6, 9 and the like which are multiples of 3 in each sub-band are selected, and the frequency points with the serial numbers of 3 x m in s sub-bands form t detection frequency points. It can be understood that the number of the detection frequency points in the sub-bands with the same width is the same, when the sub-bands are divided, if the width of the last sub-band is smaller, the number of the detection frequency points in the last sub-band is smaller, and the t detection frequency points are the sum of the detection frequency points in the s sub-bands.
It should be noted that, in order to ensure the accuracy of frequency spectrum scanning, the serial number of the selected detection frequency point needs to be determined according to the width of the sub-band, and when the width of the sub-band is larger, the frequency point with the serial number of 3 × m in each sub-band is selected; and when the width of the sub-band is smaller, selecting the frequency points with the sequence numbers of 0, 3 or 0, 3 and 6 in each sub-band.
In an exemplary embodiment, the determining n detection frequency points of the t detection frequency points in step S106 includes the following two manners:
in the first mode, the first n detection frequency points with the highest correlation peak value of the time domain signal PSS of the frequency domain signal on the t detection frequency points are determined.
Determining the relevant peak values of the time domain signal PSS of the frequency domain signal on t detection frequency points, sequencing the relevant peak values of the time domain signal PSS of the t detection frequency points from high to low, and selecting the first n detection frequency points with the highest relevant peak value of the time domain signal PSS.
And secondly, determining the detection frequency point of the frequency domain signal with the highest time domain signal PSS correlation peak value in each sub-band of the s sub-bands, acquiring s detection frequency points, and determining the first n detection frequency points of the frequency domain signal with the highest time domain signal PSS correlation peak value on the s detection frequency points.
When n detection frequency points in the t detection frequency points are determined, the detection frequency points of the frequency domain signals with the highest time domain signal PSS correlation peak value in each sub-band of the s sub-bands are sequentially determined, namely the detection frequency point with the highest time domain signal PSS correlation peak value in each sub-band is obtained, the time domain signal PSS correlation peak values of the frequency domain signals on the s detection frequency points are determined, sequencing is carried out according to the time domain signal PSS correlation peak values from high to low, the first n bits with the highest time domain signal PSS correlation peak value are selected, and the first n bits are the determined n detection frequency points.
In an exemplary embodiment, the frequency sweeping method further includes: and reporting the q detection frequency points.
And the q detection frequency points determined in the step are the frequency points with the strongest signals in the target frequency band, and the q detection frequency points are reported to a high-level protocol stack of the terminal, so that the high-level protocol stack can check and access the base station by using the detection frequency points. And reporting the detection frequency points to a high-level protocol stack after all the sub-frequency bands are scanned, so that the obtained q detection frequency points are ensured to be the frequency points with the strongest signals in the target frequency band, thereby avoiding trying to access the frequency points with poorer signal quality obtained by scanning, simultaneously avoiding repeated reporting, avoiding high coupling with other modules of the terminal, and simplifying the terminal software scheduling process.
In an exemplary embodiment of the present disclosure, a frequency sweeping method is provided, which is applied to a terminal. Fig. 4 is a flow chart illustrating a frequency sweeping method according to an exemplary embodiment, as shown in fig. 4, including the steps of:
step S401, determining r sub-bands, wherein the r sub-bands are obtained by dividing a target frequency band scanned by a terminal;
step S402, sequentially selecting a sub-frequency band;
executing steps S403-S412 in each sub-band in turn;
step S403, receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
step S404, dividing each sub-frequency band into a plurality of sub-bands;
step S405, acquiring total power in each sub-band of a plurality of sub-bands;
step S406, based on the total power in each sub-band, determining S sub-bands, where the unit power of the S sub-bands is the top S bits of the unit power of the plurality of sub-bands, and the unit power is the power in a set frequency band unit;
step S407, sequencing the frequency points of the channel grid in each subband in S subbands, and selecting the frequency points with the sequence number of 3 x m in each subband to form t detection frequency points;
step S408, acquiring relevant peak values of the time domain signal PSS of the frequency domain signal on t detection frequency points;
step S409, determining n detection frequency points in the t detection frequency points;
determining n detection frequency points in the t detection frequency points by one of the following two ways:
in a first mode, determining the first n detection frequency points of the frequency domain signal with the highest correlation peak value of the time domain signal PSS on the t detection frequency points;
determining the detection frequency point of the frequency domain signal with the highest time domain signal PSS correlation peak value in each sub-band of the s sub-bands, acquiring s detection frequency points, and determining the first n detection frequency points of the frequency domain signal with the highest time domain signal PSS correlation peak value on the s detection frequency points;
step S410, two adjacent detection frequency points of each detection frequency point in n detection frequency points are determined;
step S411, acquiring a time domain signal PSS correlation peak value of the frequency domain signal on two adjacent detection frequency points of each detection frequency point in the n detection frequency points of the n detection frequency points;
step S412, determining p detection frequency points;
the relevant peak values of the time domain signal PSS of the frequency domain signal on the p detection frequency points are the highest front p bits in the relevant peak values of the time domain signal PSS of the frequency domain signal on the n detection frequency points and the relevant peak values of the time domain signal PSS on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
step S413, determining whether all sub-bands have been scanned;
if yes, go to step S414; if not, executing step S402;
step S414, determining q detection frequency points in the p detection frequency points of all sub-frequency bands;
the peak-to-average ratio of the frequency domain signal on the q detection frequency points is larger than a preset threshold, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the q detection frequency points is the top q bits of the relevant peak values of the time domain signal PSS of the frequency domain signal on the p detection frequency points of all the sub-frequency bands.
And step S415, reporting the q detection frequency points.
Wherein m is a natural number, r, s, t, n and q are positive integers more than 1, and n is less than t.
In an exemplary embodiment of the present disclosure, a frequency sweeping device is provided, which is applied to a terminal. Fig. 5 is a block diagram of a frequency sweeping apparatus according to an exemplary embodiment, where the frequency sweeping apparatus shown in fig. 5 includes:
a first determining module 501, configured to determine r sub-bands, where the r sub-bands are obtained by dividing a target frequency band scanned by the terminal;
an executing module 502 configured to execute the following operations in each of the sub-bands in turn:
receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
determining s sub-bands in each sub-band, and determining t detection frequency points in the s sub-bands;
acquiring the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points;
determining n detection frequency points in the t detection frequency points;
determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
acquiring the relevant peak value of the time domain signal PSS of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points;
a second determining module 503, configured to determine q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each of the n detection frequency points;
wherein r, s, t, n and q are positive integers more than 1, and n is less than t.
In an exemplary embodiment, the second determining module 503 is further configured to:
determining p detection frequency points, wherein the time domain signal PSS correlation peak values of the frequency domain signal on the p detection frequency points are the time domain signal PSS correlation peak values of the frequency domain signal on the n detection frequency points and the highest front p bits in the time domain signal PSS correlation peak values on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
determining q detection frequency points in the p detection frequency points of all the sub-frequency bands, wherein the peak-to-average ratio of the frequency domain signal on the q detection frequency points is greater than a preset threshold value, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the q detection frequency points is the top q bits of the relevant peak value of the time domain signal PSS of the frequency domain signal on the p detection frequency points of all the sub-frequency bands.
In an exemplary embodiment, the execution module 502 is further configured to:
dividing each sub-frequency band into a plurality of sub-bands;
obtaining a total power within each of the plurality of sub-bands;
and determining the s sub-bands based on the total power in each sub-band, wherein the unit power of the s sub-bands is the highest first s bits in the unit power of the plurality of sub-bands, and the unit power is the power in a set frequency band unit.
In an exemplary embodiment, the execution module 502 is further configured to:
sequencing the frequency points of the channel grid in each sub-band in the s sub-bands, and selecting the frequency points with the sequence number of 3 x m in each sub-band to form the t detection frequency points;
m is a natural number.
In an exemplary embodiment, the execution module 502 is further configured to:
determining n detection frequency points in the t detection frequency points by one of the following two ways:
in a first mode, determining the first n detection frequency points of the frequency domain signal with the highest correlation peak value of the time domain signal PSS on the t detection frequency points;
and secondly, determining the detection frequency point of the frequency domain signal with the highest time domain signal PSS correlation peak value in each sub-band of the s sub-bands, acquiring s detection frequency points, and determining the first n detection frequency points of the frequency domain signal with the highest time domain signal PSS correlation peak value on the s detection frequency points.
In an exemplary embodiment, the apparatus further comprises:
a reporting module 504 configured to report the q detection frequency points.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 6 is a block diagram illustrating a frequency sweeping apparatus 600 according to an exemplary embodiment when the frequency sweeping apparatus is a terminal.
Referring to fig. 6, apparatus 600 may include one or more of the following components: processing component 602, memory 604, power component 606, multimedia component 608, audio component 610, input/output (I/O) interface 612, sensor component 614, and communication component 616.
The processing component 602 generally controls overall operation of the device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support operations at the apparatus 600. Examples of such data include instructions for any application or method operating on device 600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 608 includes a screen that provides an output interface between the device 600 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 600 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, audio component 610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The I/O interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 614 includes one or more sensors for providing status assessment of various aspects of the apparatus 600. For example, the sensor component 614 may detect an open/closed state of the device 600, the relative positioning of components, such as a display and keypad of the device 600, the sensor component 614 may also detect a change in position of the device 600 or a component of the device 600, the presence or absence of user contact with the device 600, orientation or acceleration/deceleration of the device 600, and a change in temperature of the device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 616 is configured to facilitate communications between the apparatus 600 and other devices in a wired or wireless manner. The apparatus 600 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 604 comprising instructions, executable by the processor 620 of the apparatus 600 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium having instructions thereon that, when executed by a processor of an apparatus, enable the apparatus to perform a frequency sweep method, the method comprising any of the methods described above.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A frequency sweeping method is applied to a terminal, and is characterized by comprising the following steps:
determining r sub-bands, wherein the r sub-bands are obtained by dividing a target frequency band scanned by the terminal;
sequentially performing the following operations in each of the sub-bands:
receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
determining s sub-bands in each sub-band, and determining t detection frequency points in the s sub-bands;
acquiring the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points;
determining n detection frequency points in the t detection frequency points;
determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
acquiring the relevant peak value of the time domain signal PSS of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points;
determining q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
wherein r, s, t, n and q are all positive integers greater than 1, and n is less than t.
2. A frequency sweeping method according to claim 1, wherein the determining q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each of the n detection frequency points comprises:
determining p detection frequency points, wherein the relevant peak values of the time domain signal PSS of the frequency domain signal on the p detection frequency points are the highest front p bits in the relevant peak values of the time domain signal PSS of the frequency domain signal on the n detection frequency points and the relevant peak values of the time domain signal PSS on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
determining q detection frequency points in the p detection frequency points of all the sub-frequency bands, wherein the peak-to-average ratio of the frequency domain signal on the q detection frequency points is greater than a preset threshold value, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the q detection frequency points is the top q bits of the relevant peak value of the time domain signal PSS of the frequency domain signal on the p detection frequency points of all the sub-frequency bands.
3. A frequency sweeping method according to claim 1, wherein the determining s subbands in each of the subbands comprises:
dividing each sub-frequency band into a plurality of sub-bands;
obtaining a total power within each of the plurality of sub-bands;
and determining the s sub-bands based on the total power in each sub-band, wherein the unit power of the s sub-bands is the highest first s bits in the unit power of the plurality of sub-bands, and the unit power is the power in a set frequency band unit.
4. A frequency sweeping method according to claim 1, wherein the determining t detection frequency points in the s subbands comprises:
sequencing the frequency points of the channel grid in each sub-band in the s sub-bands, and selecting the frequency points with the sequence number of 3 x m in each sub-band to form the t detection frequency points;
m is a natural number.
5. A frequency sweeping method according to claim 1, wherein the determining n detection frequency points among the t detection frequency points includes:
determining n detection frequency points in the t detection frequency points by one of the following two ways:
in a first mode, determining the first n detection frequency points of the frequency domain signal with the highest correlation peak value of the time domain signal PSS on the t detection frequency points;
and secondly, determining the detection frequency point of the frequency domain signal with the highest time domain signal PSS correlation peak value in each sub-band of the s sub-bands, acquiring s detection frequency points, and determining the first n detection frequency points of the frequency domain signal with the highest time domain signal PSS correlation peak value on the s detection frequency points.
6. A frequency sweeping method as claimed in claim 1, wherein the method further comprises:
and reporting the q detection frequency points.
7. A frequency sweeping device is applied to a terminal, and is characterized by comprising:
a first determining module configured to determine r sub-bands, where the r sub-bands are obtained by dividing a target frequency band scanned by the terminal;
an execution module configured to perform the following operations within each of the sub-bands in turn:
receiving a time domain signal and acquiring a frequency domain signal of the time domain signal;
determining s sub-bands in each sub-band, and determining t detection frequency points in the s sub-bands;
acquiring the relevant peak values of the time domain signal PSS of the frequency domain signal on the t detection frequency points;
determining n detection frequency points in the t detection frequency points;
determining two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
acquiring a time domain signal PSS related peak value of the frequency domain signal on the two adjacent detection frequency points of the n detection frequency points;
a second determining module configured to determine q detection frequency points based on the n detection frequency points and two adjacent detection frequency points of each of the n detection frequency points;
wherein r, s, t, n and q are all positive integers greater than 1, and n is less than t.
8. A sweeping device according to claim 7, wherein the second determining module is further configured to:
determining p detection frequency points, wherein the time domain signal PSS correlation peak values of the frequency domain signal on the p detection frequency points are the time domain signal PSS correlation peak values of the frequency domain signal on the n detection frequency points and the highest front p bits in the time domain signal PSS correlation peak values on two adjacent detection frequency points of each detection frequency point in the n detection frequency points;
determining q detection frequency points in the p detection frequency points of all the sub-frequency bands, wherein the peak-to-average ratio of the frequency domain signal on the q detection frequency points is greater than a preset threshold value, and the relevant peak value of the time domain signal PSS of the frequency domain signal on the q detection frequency points is the top q bits of the relevant peak value of the time domain signal PSS of the frequency domain signal on the p detection frequency points of all the sub-frequency bands.
9. A frequency sweeping apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1-6.
10. A non-transitory computer readable storage medium having instructions therein which, when executed by a processor of an apparatus, enable the apparatus to perform the method of any one of claims 1-6.
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