CN114374986B

CN114374986B - Antenna weight tidal effect optimization method and device based on MR/MDT data

Info

Publication number: CN114374986B
Application number: CN202011104075.6A
Authority: CN
Inventors: 徐炜亮; 吴远; 林杰; 张晨曦; 石铎; 应挺; 王飞; 张军营; 贾洪潮; 罗建迪
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Design Institute Co Ltd; China Mobile Group Zhejiang Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Design Institute Co Ltd; China Mobile Group Zhejiang Co Ltd
Priority date: 2020-10-15
Filing date: 2020-10-15
Publication date: 2023-09-05
Anticipated expiration: 2040-10-15
Also published as: CN114374986A

Abstract

The embodiment of the invention relates to the technical field of communication, and discloses an antenna weight tidal effect optimization method and device based on MR/MDT data, wherein the method comprises the following steps: acquiring a data source, and calculating a polar angle and a distance according to the data source; combining 24 moments of the natural day two by two to obtain a plurality of different time period combinations; calculating tide weights including a declination angle, an azimuth angle and a beam width corresponding to tide moments according to a preset sequence by combining the polar angle and the distance with a plurality of different time period combinations; the antenna weights are adjusted to the tidal weights at the tidal moments to optimize tidal effects. Through the mode, the embodiment of the invention can optimize the tidal effect through the algorithm of the corresponding tidal effect, and the quality of the existing network is not reduced.

Description

Antenna weight tidal effect optimization method and device based on MR/MDT data

Technical Field

The embodiment of the invention relates to the technical field of communication, in particular to an antenna weight tidal effect optimization method and device based on MR/MDT data.

Background

The tidal effect of wireless network user movement (hereinafter referred to as tidal effect) refers to that although users move frequently, most of the user's activities are in a law of rest. For example, the user can go to work in a writing building in daytime and return to the apartment for rest at night. This kind of tide-like tide appears as a regular movement twice in a natural day. Currently, wireless communication base stations mainly use non-electrically tunable directional antennas and electrically tunable Active antennas (Active antennas).

The directional antenna can increase radiation power and effective utilization rate in the normal direction, and meanwhile, the problems are also brought: wireless network users are moving continuously, and if users in the normal direction are rare, more users are concentrated in the direction away from the normal direction, and the advantage of the concentrated directional antenna power may become a disadvantage. One key point in wireless network optimization is thus to maximize the benefit of directional antennas by directing the normal direction of the directional antenna toward the area where the user is concentrated. The normal direction of the antenna is usually adjusted by azimuth (horizontal direction) and downtilt (vertical direction). The azimuth angle and the downward inclination angle of the traditional passive antenna are mechanically controlled, and can only be manually adjusted by standing, so that the adjustment accuracy is low, the adjustment frequency is limited, and the tidal effect problem cannot be solved.

The phase and amplitude (hereinafter referred to as weights) of each beam can be independently and electronically adjusted, except for the mechanical azimuth angle and the mechanical downtilt angle that conventional antennas have. Through the adjustment of the weight, the electronic azimuth angle and the electronic downtilt angle can be added as corrections on the basis of the mechanical azimuth angle and the downtilt angle, and the horizontal beam width and the vertical beam width are controlled through the weight. The modification of the weight value does not need to be adjusted by a station, and the remote command can be modified. Aiming at the electrically tunable cells, three optimization methods exist, namely, a violent iteration method is adopted as the first one, all weight values are polled and traversed, network performance corresponding to each weight value combination is evaluated, the optimal weight value combination is selected, and the cells are optimized and adjusted. The disadvantage is that the calculation is too large. Whether the weight is traversed or the network performance is calculated in a statistical mode, the performance of software and hardware is required to be very high, huge cost is required to be input, the number of times of adjusting the current network parameters is very huge, a large number of unreasonable parameters exist in the adjusted parameters, and user experience is greatly reduced during adjustment. The second is a reinforcement learning method, wherein network performance is defined as a state set, ownership weight combination is defined as an action set, actions for improving performance are given positive rewards, the rest are given negative rewards, the probability of circulation is explored and utilized, and the optimal weight combination is found to optimize and adjust cells. The method partially solves the problem of overlarge calculated amount and adjustment amount, but a state function (state function) of a calculated state and a return function (report function) of a calculated reward are difficult to accurately define, and the two functions have great influence on the effect of an optimization model. And thirdly, a simulation method is adopted, wherein the optimal weight combination is calculated through simulation by the geographic information data of the base station and the user and the building and terrain data of the cell range, and the optimization adjustment is carried out. The method has only one adjustment, low accuracy of simulation calculation and poor optimization effect. Thus none of these three approaches solves the tidal effects problem.

Disclosure of Invention

In view of the above, embodiments of the present invention provide a method and apparatus for optimizing the tidal effect of antenna weights based on MR/MDT data, which overcome or at least partially solve the above-mentioned problems.

According to an aspect of an embodiment of the present invention, there is provided an antenna weight tidal effect optimization method based on MR/MDT data, the method comprising: acquiring a data source, and calculating a polar angle and a distance according to the data source; combining 24 moments of the natural day two by two to obtain a plurality of different time period combinations; calculating tide weights including a declination angle, an azimuth angle and a beam width corresponding to tide moments according to a preset sequence by combining the polar angle and the distance with a plurality of different time period combinations; the antenna weights are adjusted to the tidal weights at the tidal moments to optimize tidal effects.

In an alternative manner, the calculating the polar angle and the distance according to the data source includes:

if the data source is measurement report data, the measurement report data comprises an antenna arrival angle m and a time advance n, the polar angle P and the distance D are calculated according to the following relation:

If the data source is the minimization drive test data, the base station is taken as the center, the azimuth angle of the base station is taken as the polar axis, the clockwise direction is taken as the positive direction, the anticlockwise direction is taken as the negative direction, each sampling point is used for calculating the polar angle P according to the longitude and latitude, and the distance D between each sampling point and the base station is calculated.

In an alternative way, the combining 24 times of the natural day two by two results in a plurality of different time period combinations, including: the 24 time-of-nature day pairwise permutation and combination is split into 276 different time period combinations, and any time period combination (a _k ，b _k ) Cut 24 hours a day into a _k ～b _k Time period and 0 to a _k &b _k -23 time periods, wherein k is any integer from 0 to 23.

In an alternative manner, the calculating tidal weights including a downtilt angle, an azimuth angle, and a beam width corresponding to tidal moments according to the polar angle and the distance in combination with a plurality of different combinations of the time periods in a preset order includes: finding a downtilt tidal period in combination with a plurality of different period combinations according to the distance and calculating a tidal downtilt corresponding to the downtilt tidal period; if the downward inclination angle has a tidal effect, calculating a tidal azimuth corresponding to the downward inclination angle tidal period according to the polar angle; if no tidal effect exists at the downtilt angle, searching an azimuth tidal period according to the polar angle in combination with a plurality of different period combinations and calculating a tidal azimuth corresponding to the azimuth tidal period; if there is a tidal effect at the downtilt or azimuth, calculating a horizontal bandwidth from the polar angle and the corresponding downtilt tidal period or the azimuth tidal period; if no tidal effect exists in both downtilt and azimuth angles, a horizontal bandwidth tidal period is found in accordance with the polar angle in combination with a plurality of different combinations of said periods, and a horizontal bandwidth corresponding to said horizontal bandwidth tidal period is calculated.

In an alternative form, the finding a downtilt tidal period in combination with a plurality of different two periods as a function of the distance and calculating a tidal downtilt corresponding to the downtilt tidal period comprises: for any combination of time periods (a _k ，b _k ) According to the distance, a _k ～b _k The distance of the time period from near to far and cumulatively covering 80% of sampling points is recorded as a first distance, and 0 to a is calculated _k &b _k The distance covering 80% of sampling points from near to far in the period of about 23 is recorded as a second distance, and a correction difference value between the first distance and the second distance is calculated; traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference value between the first distance and the second distance as the downward inclination angle tide time period; respectively calculating a time period (a) corresponding to the downward inclination angle tide _i ，b _i ) Two corresponding moments a _i 、b _i A first downtilt TF 'and a second downtilt TB'; if abs (TF '-TB')>2, determining that the first declination angle TF 'and the second declination angle TB' are the tidal declination angles, and a tidal effect exists.

In an alternative form, the finding an azimuth tidal period from the polar angle in combination with a plurality of different combinations of the periods and calculating a tidal azimuth corresponding to the azimuth tidal period comprises: for any combination of time periods (a _k ，b _k ) Calculating a according to the polar angle _k ～b _k The polar angle average value of the time period is recorded as a first average value, and 0 to a are calculated _k &b _k The polar angle average value of the period of 23 is recorded as a second average value, and a correction difference value between the first average value and the second average value is calculated; traversing a plurality of different combinations of said time periods, selecting as said azimuth tidal time period the time period combination having the greatest difference in correction between said first mean value and said second mean value, said first mean value and said second mean value being respectively equal to said azimuth tidal time period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first azimuth AF 'and a second azimuth AB'; if ABs (AF '-AB')>10, determining that the first azimuth angle AF 'and the second azimuth angle AB' are the tidal azimuth angles, and a tidal effect exists.

In an alternative form, the finding a horizontal bandwidth tidal period in combination with a plurality of different combinations of said periods according to polar angle and calculating a horizontal bandwidth corresponding to said horizontal bandwidth tidal period comprises: for any combination of time periods (a _k ，b _k ) According to the polar angle, respectively corresponding to a _k ～b _k Time period and 0 to a _k &b _k The period of 23 is extended from the normal direction of the antenna to two sides, for a _k ～b _k Two polar angles (PFL) with a period recording cumulative sample point ratio of 70% _k ，PFR _k ) Calculate a corresponding first horizontal beam width HF _k ＝PFR _k –PFL _k For 0 to ak&Two polar angles (PBL) with the cumulative sampling point proportion reaching 70% are recorded in the bk-23 time period _k ，PBR _k ) Calculating a corresponding second horizontal beam width HB _k ＝PBR _k -PBL _k And calculating a corrected difference of the first horizontal beam width and the second horizontal beam width; traversing a plurality of different combinations of said time periods, selecting as said horizontal bandwidth tidal time period the combination of time periods having the greatest difference in correction between said first horizontal beamwidth and said second horizontal beamwidth, said first horizontal beamwidth and said second horizontal beamwidth being respectively equal to said horizontal bandwidth tidal time period (a _i ，b _i ) Two corresponding moments a _i 、b _i First adjustable horizontal wave width HF 'and second adjustable horizontal wave width HB'。

According to another aspect of an embodiment of the present invention, there is provided an antenna weight tidal effect optimization apparatus based on MR/MDT data, the apparatus comprising: the data acquisition unit is used for acquiring a data source and calculating a polar angle and a distance according to the data source; the time interval dividing unit is used for combining 24 moments of the natural day two by two to obtain various different time interval combinations; a weight obtaining unit for calculating tidal weights including downtilt angle, azimuth angle and beam width corresponding to tidal moments according to the polar angle and the distance in combination with a plurality of different time period combinations in a preset sequence; and the optimizing unit is used for adjusting the antenna weight value to the tide weight value at the tide moment so as to optimize the tide effect.

According to another aspect of an embodiment of the present invention, there is provided a computing device including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;

the memory is used for storing at least one executable instruction which causes the processor to execute the steps of the antenna weight tidal effect optimization method based on MR/MDT data.

According to yet another aspect of an embodiment of the present invention, there is provided a computer storage medium having stored therein at least one executable instruction for causing the processor to perform the steps of the above-described antenna weight tidal effect optimization method based on MR/MDT data.

According to the embodiment of the invention, the data source is obtained, and the polar angle and the distance are calculated according to the data source; combining 24 moments of the natural day two by two to obtain a plurality of different time period combinations; calculating tide weights including a declination angle, an azimuth angle and a beam width corresponding to tide moments according to a preset sequence by combining the polar angle and the distance with a plurality of different time period combinations; and adjusting the antenna weight to the tide weight at the tide moment so as to optimize the tide effect, wherein the tide effect can be optimized through an algorithm of the corresponding tide effect, and the quality of the existing network is not reduced.

The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present invention can be more clearly understood, and the following specific embodiments of the present invention are given for clarity and understanding.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

FIG. 1 shows a schematic flow chart of an antenna weight tidal effect optimization method based on MR/MDT data provided by an embodiment of the invention;

FIG. 2 shows a polar angle and distance diagram in an antenna weight tidal effect optimization method based on MR/MDT data provided by an embodiment of the invention;

FIG. 3 shows a schematic diagram of antenna tidal weight acquisition for an antenna tidal weight optimization method based on MR/MDT data provided by an embodiment of the present invention;

FIG. 4 shows a schematic diagram of the structure of an antenna weight tidal effect optimization device based on MR/MDT data according to an embodiment of the present invention;

FIG. 5 illustrates a schematic diagram of a computing device provided by an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Fig. 1 shows a schematic flow chart of an antenna weight tidal effect optimization method based on MR/MDT data according to an embodiment of the present invention. As shown in fig. 1, the antenna weight tidal effect optimization method based on MR/MDT data includes:

step S11: and acquiring a data source, and calculating the polar angle and the distance according to the data source.

In the embodiment of the invention, based on the data of a measurement report (Measurement Report, MR) commonly used in the current wireless network optimization, the data of an antenna Arrival Angle (AOA) and a Timing Advance (TA) in the MR are collected, and the relative positions of a sampling point and a base station are calculated. In addition, embodiments of the present invention may utilize 3GPP organization Specification minimization of drive tests (Minimization of Drive-Test, MDT) data, or MR data backfilled with geographic location information. Because MR data without geographic location information is typically stored in MRs format files, it is referred to as MRs data, whereas geographic location information is typically backfilled with OTT (commonly referred to as GPS data carried by internet applications), and thus referred to as OTT data, to distinguish between the two MR data. The embodiment of the invention can utilize different types of data sources (with/without geographic position information), and well solve the problem of tidal effect based on the remote electric tuning function of the intelligent antenna under the limit of a certain calculated amount through the algorithm of corresponding tidal effect.

Since the regularity of the tidal effect to the movement of the user is limited to one natural day, the data source should be the entire data of one or more natural days. Preferably, the working day and the holiday data can be separated and calculated separately.

In step S11, if the data source is measurement report data, the measurement report data includes an antenna arrival angle m and a time advance n, the polar angle P and the distance D are calculated according to the following relation:

D＝n*78.12+39.06；

if the data source is minimization drive test data, namely longitude and latitude data such as MDT or OTT, taking a base station as a center, taking a base station azimuth as a polar axis, taking a clockwise direction as a positive direction and a counterclockwise direction as a negative direction, calculating the polar angle P of each sampling point according to the longitude and latitude, and calculating the distance D between each sampling point and the base station. As shown in fig. 2, the polar angle P is denoted as p= BSA, and the distance d=sa between each sampling point and the base station. In the embodiment of the invention, after calculating the polar angle P according to the longitude and latitude of each sampling point, the sampling points with the absolute value of the polar angle larger than 90 degrees are screened out, and then the distance D between each corresponding sampling point and the base station is calculated.

Step S12: combining 24 moments of the natural day two by two to obtain a plurality of different time period combinations.

Dividing 24 times of natural day into 276 different time period combinations, specifically dividing 24 hours of day into two time period combinations, which is equivalent to not repeatedly selecting two from 0-23 total 24 times, sharingThe scheme is optional. All time period combinations are shown in table 1. For any combination of time periods (a _k ，b _k ) Cut 24 hours a day into a _k ～b _k Time period and 0 to a _k &b _k -23 time periods, wherein k is any integer from 0 to 23.

Table 1 different time period combinations

(0，1)	(0，2)	(0，3)	···	(0，23)
					(1，2)	(1，3)	···	(1，23)
			···	···
								(22，23)

Step S13: and calculating tide weights including a declination angle, an azimuth angle and a beam width corresponding to the tide moments according to the polar angle and the distance in combination with a plurality of different time period combinations according to a preset sequence.

In an embodiment of the invention, a downtilt tidal period is found from the distance in combination with a plurality of different combinations of said periods and a tidal downtilt corresponding to said downtilt tidal period is calculated. Specifically, 276 iterations are performed for the 276 period combinations. In the iterative process, for any one of the time period combinations (a _k ，b _k ) Time slicing the data into a _k ～b _k Time period data0～a _k &b _k Data for period 23. According to the distance, a _k ～b _k The distance of the time period from near to far covering 80% of the sampling points is recorded as a first distance DF _k Will be 0 to a _k &b _k The distance from near to far covering 80% of the sampling points in the period of about 23 is recorded as a second distance DB _k And calculates the first distance DF _k From the second distance DB _k Is used for correcting the difference value. To prevent a few outliers from affecting the judgment of tidal effects, the number of sampling points is added as a coefficient correction. Let FSUM _k Representation a _k ～b _k Total number of time period data sampling points, BSUM _k Represent 0 to a _k &b _k Total number of data sampling points of 23 time periods. The first distance DF is calculated using the following relationship _k From a second distance DB _k Is a modified difference of (a):

D_DIFF _k ＝min(FSUM _k ,BSUM _k )*abs(DF _k -DB _k )，

and traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference value between the first distance and the second distance as the downward inclination angle tide time period. I.e. obtain i=arg _k max(D_DIFF _k ) Is to take the best period combination of 276 period combinations, namely D_DIFF _k The largest time period combination. The optimal time period combination is denoted as (a) _i ，b _i ) For the downtilt tidal period, a _i 、b _i Two moments of adjustment for tidal effects.

Respectively calculating a time period (a) corresponding to the downward inclination angle tide _i ，b _i ) Two corresponding moments a _i 、b _i A first declination angle TF 'and a second declination angle TB'. The two theoretical downtilt angles TF and TB of the tidal effect satisfy the following relation:

TF＝atan(H/DF _i )*180/pi+V/2-T，

TB＝atan(H/DB _i )*180/pi+V/2-T，

where H denotes the station height, V denotes the vertical beam width, and T denotes the mechanical downtilt angle. The adjustable downtilt angles TF 'and TB' are calculated from TF and TB, respectively.

If abs (TF '-TB') >2, then determining said first downtilt TF 'and said second downtilt TB' as said tidal downtilt, indicates that there is a tidal effect on the downtilt. The downtilt tide time periods are two time periods corresponding to the downtilt tide. Otherwise, the downward inclination angle is indicated to have no tidal effect, and the downward inclination angle does not need to be adjusted.

If the downward inclination angle has a tidal effect, calculating a tidal azimuth corresponding to the downward inclination angle tidal period according to the polar angle. Specifically, the take-off pitch tidal period is noted as (c, d). The data are divided into c-d time interval data and 0-c according to time&d-23 time period data. Direct calculation Calculating an adjustable first azimuth AF 'and a first azimuth AB' from AF and AB, respectively, if ABs (AF '-AB')>10, then the azimuth angle is indicative of tidal effects, otherwise no adjustment of azimuth angle is required.

If no tidal effect exists at the downtilt angle, an azimuth tidal period is found from the polar angle in combination with a plurality of different combinations of said periods and a tidal azimuth corresponding to said azimuth tidal period is calculated. I.e. 276 iterations of 276 period combinations are repeated. For any combination of time periods (a _k ，b _k ) Using relations Calculating a from the polar angle separation _k ～b _k The polar angle average of the time period is recorded as the first average, applying the relation +.>Calculating 0 to a _k &b _k And (3) recording the polar angle average value of the period-23 as a second average value, and calculating a corrected difference value between the first average value and the second average value. To prevent few outliers from affecting the judgment of tidal effect, the number of sampling points is addedAnd correcting the coefficient. And calculating a corrected difference value of the first mean value and the second mean value by using the following relation:

P_DIFF _k ＝min(FSUM _k ,BSUM _k )*abs(PF _k -PB _k )，

traversing a plurality of different combinations of said time periods, selecting as said azimuth tidal time period the combination of time periods where the corrected difference of said first mean and said second mean is greatest. I.e. obtain i=arg _k max(P_DIFF _k ) Is to take the best period combination of 276 period combinations, i.e. P_DIFF _k The largest time period combination. The optimal time period combination is denoted as (a) _i ，b _i ) For azimuth tidal period, a _i 、b _i Two moments of adjustment for tidal effects. The first mean value and the second mean value are respectively equal to the azimuth and tide period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first azimuth AF 'and a second azimuth AB'. If ABs (AF '-AB')>10, determining the first azimuth AF 'and the second azimuth AB' as the tidal azimuth, indicating that there is a tidal effect in azimuth. Otherwise, the azimuth angle does not need to be adjusted.

If there is a tidal effect at the downtilt or azimuth, a horizontal bandwidth is calculated from the polar angle and the corresponding downtilt tidal period or azimuth tidal period. Specifically, the corresponding azimuth tidal period is taken as (e, f). The polar angle data are divided into e-f time period data and 0-e & f-23 time period data according to time. And ordering the two parts of data by taking polar angles as keywords. Starting from 0 DEG, the expansion is carried out towards-180 DEG and +180 DEG by taking-1 DEG and +1 DEG as step sizes, namely the expansion is carried out towards two sides from the normal direction of the antenna. Two polar angle values (PFL, PFR) with the cumulative sampling point ratio reaching 70% are recorded for the e-f time periods, and two polar angle values (PBL, PBR) with the cumulative sampling point ratio reaching 70% are recorded for the 0-e & f-23 time periods. From these two sets of polar angles, the theoretical horizontal beamwidths hf=pfr-PFL and hb=pbr-PBL of the two pieces of data can be calculated. The adjustable horizontal bandwidths HF ', HB' are calculated from HF and HB, respectively. The corresponding scene and vertical bandwidth can then be determined.

If no tidal effect exists in both downtilt and azimuth angles, a horizontal bandwidth tidal period is found in accordance with the polar angle in combination with a plurality of different combinations of said periods, and a horizontal bandwidth corresponding to said horizontal bandwidth tidal period is calculated. Specifically, 276 iterations of 276 period combinations are repeated. For any combination of time periods (a _k ，b _k ) According to the polar angle, respectively corresponding to a _k ～b _k Time period and 0 to a _k &b _k The period of 23 is extended from the normal direction of the antenna to two sides, for a _k ～b _k Two polar angles (PFL) with a period recording cumulative sample point ratio of 70% _k ，PFR _k ) Calculate a corresponding first horizontal beam width HF _k ＝PFR _k –PFL _k For 0 to ak&Two polar angles (PBL) with the cumulative sampling point proportion reaching 70% are recorded in the bk-23 time period _k ，PBR _k ) Calculating a corresponding second horizontal beam width HB _k ＝PBR _k -PBL _k And calculating a corrected difference of the first horizontal beam width and the second horizontal beam width. To prevent a few outliers from affecting the determination of tidal effects, the number of sampling points is added as a coefficient correction. The corrected difference between the first horizontal beam width and the second horizontal beam width is calculated using the following relation:

B_DIFF _k ＝min(FSUM _k ,BSUM _k )*abs(HF _k -HB _k )，

traversing a plurality of different combinations of said time periods, selecting as said horizontal bandwidth tidal time period the combination of time periods where the modified difference of said first horizontal beamwidth and said second horizontal beamwidth is greatest. I.e. obtain i=arg _k max(B_DIFF _k ) Is to take the best period combination of 276 period combinations of B_DIFF _k The largest time period combination. The optimal time period combination is denoted as (a) _i ，b _i ) A is the horizontal wave width tide period, a _i 、b _i Two moments of adjustment for tidal effects. The first horizontal beam width and the second horizontal beam width are respectively equal to the horizontal beam width tide period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first adjustable horizontal bandwidth HF 'and a second adjustable horizontal bandwidth HB'. The corresponding scene and vertical bandwidth can then be determined.

More specifically, the complete acquisition process of the tidal weights of the antennas is shown in fig. 3, and includes:

step S200: starting.

Before step S200, the polar angle and the distance are calculated by using different data sources of the MR data or the MDT data, and the specific calculation method is the same as the listening method in the previous step S11, and is not repeated here.

Step S201: and searching for the downward inclination angle tide period according to the distance.

The 276 time period combinations are iterated, and any time period combination (a _k ，b _k ) Time slicing the data into a _k ～b _k Time period data and 0 to a _k &b _k Data for period 23. Will be a according to the distance _k ～b _k The distance of the time period from near to far covering 80% of the sampling points is recorded as a first distance DF _k Will be 0 to a _k &b _k The distance from near to far covering 80% of the sampling points in the period of about 23 is recorded as a second distance DB _k And calculates a first distance DF _k From a second distance DB _k Is used for correcting the difference value. And traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference between the first distance and the second distance as the downward inclination angle tide time period.

Step S202: the tidal downtilt is calculated from the distance.

Respectively calculating the downtilt tide period (a) _i ，b _i ) Two corresponding moments a _i 、b _i A first declination angle TF 'and a second declination angle TB'.

Step S203: judging whether the downward inclination angle tide needs to be adjusted or not. If yes, go to step S204; if not, step S205 is performed.

And judging whether the downward inclination angle tide needs to be adjusted according to the first downward inclination angle TF 'and the second downward inclination angle TB'. If abs (TF '-TB') >2, indicating that there is a tidal effect on the downtilt, it is necessary to adjust the downtilt tide. Otherwise, there is no tidal effect on the downtilt angle and no adjustment of the downtilt angle tide is required.

Step S204: the downtilt period is set to the tidal period.

The downtilt adjustment period is the downtilt tidal period calculated in step S202, which is set as the tidal period for the subsequent optimization of the tidal effect, and then step S206 is performed.

Step S205: azimuth tidal periods are found from polar angles.

The iteration is repeated for 276 combinations of time periods, for any combination of time periods (a _k ，b _k ) Using relationsCalculation of a from the polar angle separation _k ～b _k The polar angle average of the time period is recorded as a first average value, and a relational expression is appliedCalculating 0 to a _k &b _k And (3) recording the polar angle average value of the time intervals of 23 as a second average value, calculating the correction difference value of the first average value and the second average value, traversing a plurality of different time interval combinations, and selecting the time interval combination with the maximum correction difference value of the first average value and the second average value as the azimuth tide time interval. Then step S206 is performed.

Step S206: the tidal azimuth is calculated from the polar angle.

According to step S204 or step S205, the tidal period (c, d) is a downtilt tidal period or an azimuth tidal period. In step S206, the polar angle data of the tidal period (c, d) is time-sliced into c-d period data and 0-c&d-23 time period data according toAn adjustable first azimuth angle AF 'and a first azimuth angle AB' are calculated, respectively.

Step S207: it is determined whether the azimuth tides need to be adjusted. If yes, go to step S208; if not, step S209 is performed.

And judging whether the azimuth tide needs to be adjusted according to the first azimuth AF 'and the first azimuth AB'. If ABs (AF '-AB') >10, this indicates that there is an azimuthal tidal effect, and that there is a need to adjust azimuthal tides, otherwise there is no azimuthal tidal effect and no need to adjust azimuthal angles.

Step S208: the azimuth adjustment period is set as a tidal period.

The azimuth adjustment period is the azimuth tide period obtained in step S205, and is set as the tide period for optimizing the tide effect subsequently. Then step S210 is performed.

Step S209: the horizontal bandwidth tidal period is found from the polar angle.

The iteration is repeated for 276 combinations of time periods, for any combination of time periods (a _k ，b _k ) According to polar angle, respectively to a _k ～b _k Time period and 0 to a _k &b _k The period of 23 is extended from the normal direction of the antenna to two sides, for a _k ～b _k Two polar angles (PFL) with a period recording cumulative sample point ratio of 70% _k ，PFR _k ) Calculate a corresponding first horizontal beam width HF _k ＝PFR _k –PFL _k For 0 to ak&Two polar angles (PBL) with the cumulative sampling point proportion reaching 70% are recorded in the bk-23 time period _k ，PBR _k ) Calculating a corresponding second horizontal beam width HB _k ＝PBR _k -PBL _k And calculates a corrected difference of the first horizontal beam width and the second horizontal beam width. And traversing a plurality of different time period combinations, and selecting the time period combination with the maximum correction difference value between the first horizontal beam width and the second horizontal beam width as the horizontal beam width tide time period. Then step S210 is performed.

Step S210: the tidal horizontal bandwidth is calculated from the polar angle.

According to step S208 or step S209, the tidal period (e, f) is an azimuth tidal period or a horizontal bandwidth tidal period. In step S206, the polar angle data of the tidal period (e, f) is time-sliced into e-f period data and 0-e & f-23 period data. And ordering the two parts of data by taking polar angles as keywords. Starting from 0 DEG, the expansion is carried out towards-180 DEG and +180 DEG by taking-1 DEG and +1 DEG as step sizes, namely the expansion is carried out towards two sides from the normal direction of the antenna. Two polar angle values (PFL, PFR) with the cumulative sampling point ratio reaching 70% are recorded for the e-f time periods, and two polar angle values (PBL, PBR) with the cumulative sampling point ratio reaching 70% are recorded for the 0-e & f-23 time periods. From these two sets of polar angles, the theoretical horizontal beamwidths hf=pfr-PFL and hb=pbr-PBL of the two pieces of data can be calculated. The adjustable horizontal bandwidths HF ', HB' are calculated from HF and HB, respectively. The corresponding scene and vertical bandwidth can then be determined.

Step S211: and calculating and outputting the tidal weight according to the declination angle, the azimuth angle and the horizontal wave width of the tide.

The tidal weights include a tidal downtilt angle, an azimuth angle, and a horizontal bandwidth, and a vertical bandwidth, wherein the tidal downtilt angle, the azimuth angle, and the horizontal bandwidth are divided into the tidal downtilt angle, the tidal azimuth angle, and the tidal horizontal bandwidth calculated previously corresponding to the tidal period. And calculating the tidal weight according to the calculated tidal dip angle, azimuth angle and horizontal wave width, and outputting the calculated tidal weight so as to optimize the tidal effect subsequently.

Step S212: and (5) ending.

Step S14: the antenna weights are adjusted to the tidal weights at the tidal moments to optimize tidal effects.

In the embodiment of the invention, according to the calculated tide moment, the antenna weight is adjusted to the calculated tide weight at the corresponding moment, so that the tide effect problem can be solved. The antenna weight includes downtilt angle, azimuth angle, horizontal wave width, etc., and the tidal period may be one of downtilt angle tidal period, azimuth angle tidal period, horizontal wave width tidal period. For example, if there is no tidal effect for downtilt and azimuth, the horizontal bandwidth in the antenna weight is adjusted to the calculated horizontal bandwidth during the horizontal bandwidth tidal period.

The embodiment of the invention optimizes the tidal effect, can optimize whether the sampled data contains geographic information data or not, is not limited in data source, and is a meaningful parameter after calculation, so that the quality of the existing network is not reduced. The electronic downtilt angle, the electronic azimuth angle and the beam width are included in the optimization range, the electronic downtilt angle, the electronic azimuth angle and the beam width are independent in calculation process, the accuracy is higher, the optimization effect is better, in the iteration process, the iteration times are only related to 24 moments of one natural day, the number is not changed, the iteration calculation times are less, and the calculation time is short and stable.

Fig. 4 shows a schematic structural diagram of an antenna weight tidal effect optimization apparatus based on MR/MDT data according to an embodiment of the present invention. As shown in fig. 4, the antenna weight tidal effect optimization apparatus based on MR/MDT data includes: a data acquisition unit 401, a period division unit 402, a weight acquisition unit 403, and an optimization unit 404. Wherein:

the data acquisition unit 401 is configured to acquire a data source, and calculate a polar angle and a distance according to the data source; the time interval dividing unit 402 is used for combining 24 moments of the natural day two by two to obtain a plurality of different time interval combinations; the weight obtaining unit 403 is configured to calculate, according to the polar angle and the distance, tidal weights including a downtilt angle, an azimuth angle, and a beam width corresponding to tidal moments in a preset order in combination with a plurality of different combinations of the time periods; the optimization unit 404 is configured to adjust the antenna weights to the tidal weights at the tidal time instant to optimize the tidal effects.

In an alternative way, the data acquisition unit 401 is configured to: if the data source is measurement report data, the measurement report data comprises an antenna arrival angle m and a time advance n, the polar angle P and the distance D are calculated according to the following relation:

In an alternative manner, the period dividing unit 402 is configured to: the 24 time-of-nature day pairwise permutation and combination is split into 276 different time period combinations, and any time period combination (a _k ，b _k ) Cut 24 hours a day into a _k ～b _k Time period and 0 to a _k &b _k -23 time periods, wherein k is any integer from 0 to 23.

In an alternative manner, the weight acquiring unit 403 is configured to: finding a downtilt tidal period in combination with a plurality of different period combinations according to the distance and calculating a tidal downtilt corresponding to the downtilt tidal period; if the downward inclination angle has a tidal effect, calculating a tidal azimuth corresponding to the downward inclination angle tidal period according to the polar angle; if no tidal effect exists at the downtilt angle, searching an azimuth tidal period according to the polar angle in combination with a plurality of different period combinations and calculating a tidal azimuth corresponding to the azimuth tidal period; if there is a tidal effect at the downtilt or azimuth, calculating a horizontal bandwidth from the polar angle and the corresponding downtilt tidal period or the azimuth tidal period; if no tidal effect exists in both downtilt and azimuth angles, a horizontal bandwidth tidal period is found in accordance with the polar angle in combination with a plurality of different combinations of said periods, and a horizontal bandwidth corresponding to said horizontal bandwidth tidal period is calculated.

In an alternative manner, the weight acquiring unit 403 is configured to: for any combination of time periods (a _k ，b _k ) According to the distance, a _k ～b _k The time period is from near to farThe distance covering 80% of sampling points is recorded as the first distance, and 0 to a are calculated _k &b _k The distance covering 80% of sampling points from near to far in the period of about 23 is recorded as a second distance, and a correction difference value between the first distance and the second distance is calculated; traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference value between the first distance and the second distance as the downward inclination angle tide time period; respectively calculating a time period (a) corresponding to the downward inclination angle tide _i ，b _i ) Two corresponding moments a _i 、b _i A first downtilt TF 'and a second downtilt TB'; if abs (TF '-TB')>2, determining that the first declination angle TF 'and the second declination angle TB' are the tidal declination angles, and a tidal effect exists.

In an alternative manner, the weight acquiring unit 403 is configured to: for any combination of time periods (a _k ，b _k ) Calculating a according to the polar angle _k ～b _k The polar angle average value of the time period is recorded as a first average value, and 0 to a are calculated _k &b _k The polar angle average value of the period of 23 is recorded as a second average value, and a correction difference value between the first average value and the second average value is calculated; traversing a plurality of different combinations of said time periods, selecting as said azimuth tidal time period the time period combination having the greatest difference in correction between said first mean value and said second mean value, said first mean value and said second mean value being respectively equal to said azimuth tidal time period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first azimuth AF 'and a second azimuth AB'; if ABs (AF '-AB')>10, determining that the first azimuth angle AF 'and the second azimuth angle AB' are the tidal azimuth angles, and a tidal effect exists.

In an alternative manner, the weight acquiring unit 403 is configured to: for any combination of time periods (a _k ，b _k ) According to the polar angle, respectively corresponding to a _k ～b _k Time period and 0 to a _k &b _k The period of 23 is extended from the normal direction of the antenna to two sides, for a _k ～b _k Two polar angles (PFL) with a period recording cumulative sample point ratio of 70% _k ，PFR _k ) Calculate a corresponding first horizontal beam width HF _k ＝PFR _k –PFL _k For 0 to ak&Two polar angles (PBL) with the cumulative sampling point proportion reaching 70% are recorded in the bk-23 time period _k ，PBR _k ) Calculating a corresponding second horizontal beam width HB _k ＝PBR _k -PBL _k And calculating a corrected difference of the first horizontal beam width and the second horizontal beam width; traversing a plurality of different combinations of said time periods, selecting as said horizontal bandwidth tidal time period the combination of time periods having the greatest difference in correction between said first horizontal beamwidth and said second horizontal beamwidth, said first horizontal beamwidth and said second horizontal beamwidth being respectively equal to said horizontal bandwidth tidal time period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first adjustable horizontal bandwidth HF 'and a second adjustable horizontal bandwidth HB'.

Embodiments of the present invention provide a non-volatile computer storage medium having stored thereon at least one executable instruction for performing the antenna weight tidal effect optimization method based on MR/MDT data in any of the above method embodiments.

Embodiments of the present invention provide a computer program product comprising a computer program stored on a computer storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of optimizing the antenna weight tidal effect based on MR/MDT data in any of the method embodiments described above.

FIG. 5 illustrates a schematic diagram of a computing device according to an embodiment of the present invention, and the embodiment of the present invention is not limited to the specific implementation of the device.

As shown in fig. 5, the computing device may include: a processor 502, a communication interface (Communications Interface) 504, a memory 506, and a communication bus 508.

Wherein: processor 502, communication interface 504, and memory 506 communicate with each other via communication bus 508. A communication interface 504 for communicating with network elements of other devices, such as clients or other servers. The processor 502 is configured to execute the program 510, and may specifically perform relevant steps in the embodiment of the antenna weight tidal effect optimization method based on MR/MDT data.

In particular, program 510 may include program code including computer-operating instructions.

The processor 502 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The device includes one or each processor, which may be the same type of processor, such as one or each CPU; but may also be different types of processors such as one or each CPU and one or each ASIC.

A memory 506 for storing a program 510. Memory 506 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 510 may be specifically operable to cause the processor 502 to:

acquiring a data source, and calculating a polar angle and a distance according to the data source;

combining 24 moments of the natural day two by two to obtain a plurality of different time period combinations;

calculating tide weights including a declination angle, an azimuth angle and a beam width corresponding to tide moments according to a preset sequence by combining the polar angle and the distance with a plurality of different time period combinations;

the antenna weights are adjusted to the tidal weights at the tidal moments to optimize tidal effects.

In an alternative, the program 510 causes the processor to:

D＝n*78.12+39.06；

In an alternative, the program 510 causes the processor to:

the 24 time-of-nature day pairwise permutation and combination is split into 276 different time period combinations, and any time period combination (a _k ，b _k ) Cut 24 hours a day into a _k ～b _k Time period and 0 to a _k &b _k -23 time periods, wherein k is any integer from 0 to 23.

In an alternative, the program 510 causes the processor to:

finding a downtilt tidal period in combination with a plurality of different period combinations according to the distance and calculating a tidal downtilt corresponding to the downtilt tidal period;

if the downward inclination angle has a tidal effect, calculating a tidal azimuth corresponding to the downward inclination angle tidal period according to the polar angle;

if no tidal effect exists at the downtilt angle, searching an azimuth tidal period according to the polar angle in combination with a plurality of different period combinations and calculating a tidal azimuth corresponding to the azimuth tidal period;

if there is a tidal effect at the downtilt or azimuth, calculating a horizontal bandwidth from the polar angle and the corresponding downtilt tidal period or the azimuth tidal period;

if no tidal effect exists in both downtilt and azimuth angles, a horizontal bandwidth tidal period is found in accordance with the polar angle in combination with a plurality of different combinations of said periods, and a horizontal bandwidth corresponding to said horizontal bandwidth tidal period is calculated.

In an alternative, the program 510 causes the processor to:

for any combination of time periods (a _k ，b _k ) According to the distance, a _k ～b _k The distance of the time period from near to far and cumulatively covering 80% of sampling points is recorded as a first distance, and 0 to a is calculated _k &b _k The distance covering 80% of sampling points from near to far in the period of about 23 is recorded as a second distance, and a correction difference value between the first distance and the second distance is calculated;

traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference value between the first distance and the second distance as the downward inclination angle tide time period;

respectively calculating a time period (a) corresponding to the downward inclination angle tide _i ，b _i ) Two corresponding moments a _i 、b _i A first downtilt TF 'and a second downtilt TB';

if abs (TF '-TB') >2, then determining said first downtilt TF 'and said second downtilt TB' as said tidal downtilt, there is a tidal effect.

In an alternative, the program 510 causes the processor to:

for any combination of time periods (a _k ，b _k ) Calculating a according to the polar angle _k ～b _k The polar angle average value of the time period is recorded as a first average value, and is calculated0～a _k &b _k The polar angle average value of the period of 23 is recorded as a second average value, and a correction difference value between the first average value and the second average value is calculated;

Traversing a plurality of different combinations of said time periods, selecting as said azimuth tidal time period the time period combination having the greatest difference in correction between said first mean value and said second mean value, said first mean value and said second mean value being respectively equal to said azimuth tidal time period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first azimuth AF 'and a second azimuth AB';

if ABs (AF '-AB') >10, then determining the first azimuth AF 'and the second azimuth AB' as the tidal azimuth, there is a tidal effect.

In an alternative, the program 510 causes the processor to:

for any combination of time periods (a _k ，b _k ) According to the polar angle, respectively corresponding to a _k ～b _k Time period and 0 to a _k &b _k The period of 23 is extended from the normal direction of the antenna to two sides, for a _k ～b _k Two polar angles (PFL) with a period recording cumulative sample point ratio of 70% _k ，PFR _k ) Calculate a corresponding first horizontal beam width HF _k ＝PFR _k –PFL _k For 0 to ak&Two polar angles (PBL) with the cumulative sampling point proportion reaching 70% are recorded in the bk-23 time period _k ，PBR _k ) Calculating a corresponding second horizontal beam width HB _k ＝PBR _k -PBL _k And calculating a corrected difference of the first horizontal beam width and the second horizontal beam width;

traversing a plurality of different combinations of said time periods, selecting as said horizontal bandwidth tidal time period the combination of time periods having the greatest difference in correction between said first horizontal beamwidth and said second horizontal beamwidth, said first horizontal beamwidth and said second horizontal beamwidth being respectively equal to said horizontal bandwidth tidal time period (a _i ，b _i ) Two corresponding moments a _i 、b _i Is adjustable according to the first degree of (2)A horizontal bandwidth HF 'and a second adjustable horizontal bandwidth HB'.

The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim.

Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.

Claims

1. An antenna weight tidal effect optimization method based on MR/MDT data, the method comprising:

Acquiring a data source, and calculating a polar angle and a distance according to the data source, wherein the method comprises the following steps: if the data source is measurement report data, the measurement report data comprises an antenna arrival angle m and a time advance n, the polar angle P and the distance D are calculated according to the following relation:

D＝n*78.12+39.06；

if the data source is the minimization drive test data, taking the base station as a center, taking the azimuth angle of the base station as a polar axis, taking the clockwise direction as a positive direction and the anticlockwise direction as a negative direction, calculating the polar angle P of each sampling point according to longitude and latitude, and calculating the distance D between each sampling point and the base station;

calculating tide weights including a downtilt angle, an azimuth angle and a beam width corresponding to tide moments according to the polar angle and the distance in combination with a plurality of different time period combinations in a preset sequence, wherein the method comprises the following steps of: finding a downtilt tidal period in combination with a plurality of different period combinations according to the distance and calculating a tidal downtilt corresponding to the downtilt tidal period; if the downward inclination angle has a tidal effect, calculating a tidal azimuth corresponding to the downward inclination angle tidal period according to the polar angle; if no tidal effect exists at the downtilt angle, searching an azimuth tidal period according to the polar angle in combination with a plurality of different period combinations and calculating a tidal azimuth corresponding to the azimuth tidal period; if there is a tidal effect at the downtilt or azimuth, calculating a horizontal bandwidth from the polar angle and the corresponding downtilt tidal period or azimuth tidal period; if the downward inclination angle and the azimuth angle have no tidal effect, searching a horizontal wave width tidal period according to the polar angle and combining a plurality of different period combinations, and calculating a horizontal wave width corresponding to the horizontal wave width tidal period;

Wherein the searching for a declination angle tidal period in combination with a plurality of different two periods according to the distance and calculating a tide corresponding to the declination angle tidal periodA downtilt angle comprising: for any combination of time periods (a _k ，b _k ) According to the distance, a _k ～b _k The distance of the time period from near to far and cumulatively covering 80% of sampling points is recorded as a first distance, and 0 to a is calculated _k &b _k The distance covering 80% of sampling points from near to far in the period of about 23 is recorded as a second distance, and a correction difference value between the first distance and the second distance is calculated; traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference value between the first distance and the second distance as the downward inclination angle tide time period; respectively calculating a time period (a) corresponding to the downward inclination angle tide _i ，b _i ) Two corresponding moments a _i 、b _i A first downtilt TF 'and a second downtilt TB'; if abs (TF '-TB')>2, determining that the first declination angle TF 'and the second declination angle TB' are the tidal declination angles, and a tidal effect exists;

2. The method of claim 1, wherein combining 24 moments of the nature day two by two results in a plurality of different time period combinations, comprising:

3. The method of claim 1, wherein said finding azimuth tidal time periods from said polar angle in combination with a plurality of different combinations of said time periods and calculating a tidal azimuth corresponding to said azimuth tidal time periods comprises:

for any combination of time periods (a _k ，b _k ) Calculating a according to the polar angle _k ～b _k The polar angle average of the time period is recorded as a first average valueCalculating 0 to a _k &b _k The polar angle average value of the period of 23 is recorded as a second average value, and a correction difference value between the first average value and the second average value is calculated;

4. The method of claim 1, wherein said finding a horizontal bandwidth tidal period in combination with a plurality of different combinations of said periods according to polar angle and calculating a horizontal bandwidth corresponding to said horizontal bandwidth tidal period comprises:

traversing a plurality of different combinations of said time periods, selecting as said horizontal bandwidth tidal time period the combination of time periods having the greatest difference in correction between said first horizontal beamwidth and said second horizontal beamwidth, said first horizontalThe beam width and the second horizontal beam width are respectively equal to the horizontal beam width tide period (a _i ，b _i ) Two corresponding moments a _i 、b _i A first adjustable horizontal bandwidth HF 'and a second adjustable horizontal bandwidth HB'.

5. An antenna weight tidal effect optimization apparatus based on MR/MDT data, the apparatus comprising:

the data acquisition unit is used for acquiring a data source and calculating a polar angle and a distance according to the data source, and comprises the following steps: if the data source is measurement report data, the measurement report data comprises an antenna arrival angle m and a time advance n, the polar angle P and the distance D are calculated according to the following relation:

D＝n*78.12+39.06；

the time interval dividing unit is used for combining 24 moments of the natural day two by two to obtain various different time interval combinations;

a weight obtaining unit for calculating tidal weights including downtilt angle, azimuth angle and beam width corresponding to tidal moments according to the polar angle and the distance in combination with a plurality of different time period combinations in a preset sequence, comprising: finding a downtilt tidal period in combination with a plurality of different period combinations according to the distance and calculating a tidal downtilt corresponding to the downtilt tidal period; if the downward inclination angle has a tidal effect, calculating a tidal azimuth corresponding to the downward inclination angle tidal period according to the polar angle; if no tidal effect exists at the downtilt angle, searching an azimuth tidal period according to the polar angle in combination with a plurality of different period combinations and calculating a tidal azimuth corresponding to the azimuth tidal period; if there is a tidal effect at the downtilt or azimuth, calculating a horizontal bandwidth from the polar angle and the corresponding downtilt tidal period or azimuth tidal period; if the downward inclination angle and the azimuth angle have no tidal effect, searching a horizontal wave width tidal period according to the polar angle and combining a plurality of different period combinations, and calculating a horizontal wave width corresponding to the horizontal wave width tidal period;

Wherein said finding a downtilt tidal period in combination with a plurality of different two periods according to said distance and calculating a tidal downtilt corresponding to said downtilt tidal period comprises: for any combination of time periods (a _k ，b _k ) According to the distance, a _k ～b _k The distance of the time period from near to far and cumulatively covering 80% of sampling points is recorded as a first distance, and 0 to a is calculated _k &b _k The distance covering 80% of sampling points from near to far in the period of about 23 is recorded as a second distance, and a correction difference value between the first distance and the second distance is calculated; traversing a plurality of different time period combinations, and selecting the time period combination with the largest correction difference value between the first distance and the second distance as the downward inclination angle tide time period; respectively calculating a time period (a) corresponding to the downward inclination angle tide _i ，b _i ) Two corresponding moments a _i 、b _i A first downtilt TF 'and a second downtilt TB'; if abs (TF '-TB')>2, determining that the first declination angle TF 'and the second declination angle TB' are the tidal declination angles, and a tidal effect exists;

and the optimizing unit is used for adjusting the antenna weight value to the tide weight value at the tide moment so as to optimize the tide effect.

6. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;

The memory is configured to hold at least one executable instruction that causes the processor to perform the steps of the antenna weight tidal effect optimization method based on MR/MDT data according to any one of claims 1-4.

7. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform the steps of the antenna weight tidal effect optimization method based on MR/MDT data according to any one of claims 1-4.