Method, device, processor and storage medium for realizing automatic calibration processing for 5GNR frequency sweeper device CINR

Abstract

The present invention relates to a method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device, comprising the following steps: the frequency sweeper device records a signal source to generate 5GNR waveform data without Gaussian white noise, and prepares an RP calibration table; the frequency sweeper device records a signal source to generate 5GNR waveform data with Gaussian white noise added, and prepares a CINR calibration table; the original data reported by the frequency sweeper device is calibrated by RP table lookup according to the RP calibration table; the data after the RP table lookup calibration is calibrated by CINR multi-table interpolation; and the frequency sweeping data after the RP table lookup calibration and CINR multi-table interpolation calibration is reported. The present invention also relates to a device, a processor and a storage medium for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device. The method, device, processor and computer-readable storage medium for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device of the present invention can effectively improve the accuracy of the CINR measurement value of the 5GNR system, thereby effectively improving the credibility when performing network coverage quality analysis on the 5GNR system.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technology, and in particular to the field of automatic calibration of wireless parameters of a 5GNR system frequency sweeper device, and specifically refers to a method, device, processor and computer-readable storage medium thereof for realizing automatic calibration processing of CINR of a 5GNR frequency sweeper device. Background Art

[0002] 5GNR, also known as 5G New Radio, is a global 5G standard based on a new air interface design of OFDM. The main advantage of 5G networks is that the data transmission rate is much higher than previous cellular networks, up to 10Gbit / s, faster than the current wired Internet, and 100 times faster than the previous 4G LTE cellular network. Another advantage is lower network latency (faster response time), less than 1 millisecond, while 4G is 30-70 milliseconds. Due to faster data transmission, 5G networks will not only provide services for mobile phones, but will also become general home and office network providers, competing with wired network providers. Among the many wireless parameters of 5GNR, EARFCN, PCI, RSSI, and RP and CINR parameters on PSS, SSS and RS channels are the most important. EARFCN and PCI are used to identify base station cells, RP on PSS, SSS and RS channels is usually used to evaluate the network coverage signal strength of base station cells, and CINR on PSS, SSS and RS channels is usually used to evaluate the network coverage quality of base station cells. In addition, the combination of RP and CINR on PSS, SSS and RS channels can be used to evaluate the overlapping coverage of base station cells. Therefore, the accuracy of RP and CINR data will directly affect the results of network coverage quality assessment, which requires the wireless parameters reported by the scanning device to provide more accurate data as much as possible to assist in network optimization. Conventional scanning devices only calibrate RP when leaving the factory, and do not calibrate CINR values. It is necessary to provide a method for automatically calibrating CINR of 5GNR scanning devices. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a method, device, processor and computer-readable storage medium thereof that meet the requirements of high accuracy, high reliability and wide application range for realizing automatic calibration processing of CINR of 5GNR scanning instrument device.

[0004] In order to achieve the above-mentioned object, the method, device, processor and computer-readable storage medium for automatically calibrating the CINR of a 5GNR frequency sweeper device of the present invention are as follows:

[0005] The method for automatically calibrating the CINR of a 5GNR frequency sweeper device is mainly characterized in that the method comprises the following steps:

[0006] (1) The frequency sweeping device records the signal source to generate 5GNR waveform data without Gaussian white noise, and makes an RP calibration table;

[0007] (2) The frequency sweeping device records the signal source to generate 5GNR waveform data with Gaussian white noise added, and creates a CINR calibration table;

[0008] (3) Perform RP calibration on the raw data reported by the frequency scanning device according to the RP calibration table;

[0009] (4) Perform CINR multi-meter interpolation calibration on the data after RP table calibration;

[0010] (5) Report the frequency sweep data after RP table lookup calibration and CINR multi-table interpolation calibration.

[0011] Preferably, the step (1) specifically comprises the following steps:

[0012] (1.1) Set the total power of the signal source to -30dBm, do not add Gaussian white noise, and generate 5GNR waveform data;

[0013] (1.2) Use a frequency sweep device to measure 5GNR waveform data and record the measurement data;

[0014] (1.3) Determine whether the total power of the signal source is less than -100dBm. If so, proceed to step (1.5); otherwise, proceed to step (1.4);

[0015] (1.4) Reduce the total power of the signal source by 1 dB and generate 5GNR waveform data;

[0016] (1.5) Analyze the RP values ​​in the measured data and the theoretical RP values, and generate an RP calibration table.

[0017] Preferably, in the step (1.2), the scanning device at least needs to demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR scanning device, and the wireless parameters on the PSS channel and the SSS channel are optional demodulation information.

[0018] Preferably, the RP calibration table generated in step (1.5) uses RP offset values ​​at intervals of 1 dB, and uses an array indexed by RP values ​​to store the offset values.

[0019] Preferably, the step (2) specifically comprises the following steps:

[0020] (2.1) Set the total power of the signal source to -30dBm, add Gaussian white noise, set the CINR to -10dB, and generate 5GNR waveform data;

[0021] (2.2) Use a frequency sweep device to measure 5GNR waveform data and record the measurement data;

[0022] (2.3) Determine whether the signal source Gaussian white noise CINR is greater than 30dB. If not, continue to execute (2.4); otherwise, continue to execute (2.5);

[0023] (2.4) Increase the signal source Gaussian white noise CINR by 5 dB and generate 5GNR waveform data;

[0024] (2.5) Determine whether the total power of the signal source is less than -100dBm. If not, continue to execute (2.6); otherwise, continue to execute (2.7);

[0025] (2.6) Increase the total power of the signal source by 5 dB, set the Gaussian white noise CINR to -10 dB, and generate 5GNR waveform data;

[0026] (2.7) Analyze the CINR values ​​in the measured data and the theoretical CINR values, and generate a CINR calibration table grouped by RSSI level.

[0027] Preferably, in the step (2.2), the scanning device at least needs to demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR scanning device, and the wireless parameters on the PSS channel and the SSS channel are optional demodulation information.

[0028] Preferably, the values ​​in the CINR calibration table generated in step (2.7) are measured CINR values, and the RSSI levels are grouped at intervals of 5 dB, wherein the CINR interval in the calibration table for each group of RSSI levels is 5 dB.

[0029] Preferably, the step (3) specifically comprises the following steps:

[0030] (3.1) The frequency scanning device performs 5GNR base station demodulation;

[0031] (3.2) Round off the measured value of RS-RP;

[0032] (3.3) Look up the RP calibration table to obtain the calibration offset value of the RS-RP parameter;

[0033] (3.4) Calibrate the offset value of RS-RP parameters.

[0034] Preferably, in the step (3.1), at least the scanning device needs to demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR system. If the wireless parameter information on the PSS and SSS channels is demodulated, the PSS-RP and SSS-RP are calibrated through step (3).

[0035] Preferably, the step (4) specifically comprises the following steps:

[0036] (4.1) Obtain the CINR calibration table with a 5dB lower limit based on RSSI;

[0037] (4.2) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value;

[0038] (4.3) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value;

[0039] (4.4) Calculate the CINR offset value at the RSSI 5dB lower limit based on the percentile of the RS-CINR parameter value at the 5dB upper / lower limit;

[0040] (4.5) Obtain the CINR calibration table with a 5dB upper limit based on RSSI;

[0041] (4.6) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value;

[0042] (4.7) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value;

[0043] (4.8) Calculate the CINR offset value at the RSSI 5dB upper limit based on the percentiles of the RS-CINR parameter value at the 5dB upper and lower limits;

[0044] (4.9) Calculate the final CINR offset value based on the percentile of the RSSI parameter value within the upper and lower limits of 5dB;

[0045] (4.10) Calibrate the offset value of RS-CINR parameters.

[0046] Preferably, in the step (4.1), if the measured RSSI value is less than -100dBm, the 5dB lower limit CINR calibration table is cancelled, and the 5dB upper limit calibration table in the step (4.5) adopts the calibration table when the RSSI is -100dBm.

[0047] Preferably, in the step (4.2), if the measured RS-CINR value is less than -10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in the step (4.3) adopts the calibration value when RS-CINR is -10dB.

[0048] Preferably, in the step (4.3), if the measured RS-CINR value is greater than 30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in the step (4.2) adopts the calibration value when the RS-CINR is 30dB.

[0049] Preferably, the CINR offset value at the RSSI 5dB lower limit is calculated in step (4.4), specifically:

[0050] The CINR offset value at the RSSI 5dB lower limit is calculated according to the following formula:

[0051] CINR offset value of RSSI 5dB lower limit = CINR offset value CINR下限

[0052] ×(1-CINR measurement percentile CINR 5dB下限 )+CINR bias value CINR 5dB上限

[0053] ×(1-CINR measurement percentile CINR 5dB上限 )

[0054] Among them, CINR bias value CINR 5dB下限 is the RS-CINR offset value obtained in step (4.2), CINR offset value CINR 5dB上限 is the RS-CINR bias value obtained in step (4.3), the CINR measurement percentile CINR 5dB下限 The percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits. CINR 5dB上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

[0055] Preferably, in the step (4.5), if the measured RSSI value is greater than -30dBm, the 5dB upper limit CINR calibration table is cancelled, and the 5dB lower limit calibration table in the step (4.1) adopts the calibration table when the RSSI is -30dBm.

[0056] Preferably, in the step (4.6), if the measured RS-CINR value is less than -10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in the step (4.7) adopts the calibration value when the RS-CINR is -10dB;

[0057] Preferably, in the step (4.7), if the measured RS-CINR value is greater than 30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in the step (4.6) adopts the calibration value when the RS-CINR is 30dB;

[0058] Preferably, the CINR offset value at the RSSI 5dB upper limit is calculated in step (4.8), specifically:

[0059] The CINR offset value at the RSSI 5dB upper limit is calculated using the following formula:

[0060] CINR offset value of RSSI 5dB upper limit = CINR offset value CINR 5dB下限

[0061] ×(1-CINR measurement percentile CINR 5dB下限 )+CINR bias value CINR 5dB上限

[0062] ×(1-CINR measurement percentile CINR 5dB上限 )

[0063] Among them, CINR bias value CINR 5dB下限 is the RS-CINR bias value obtained in step (4.6), CINR bias value CINR 5dB上限 is the RS-CINR bias value obtained in step (4.7), the CINR measurement percentile CINR 5dB下限 The percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits. CINR 5dB上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

[0064] Preferably, the bias value of the final CINR is calculated in step (4.9), specifically:

[0065] The final CINR offset value is calculated according to the following formula:

[0066] CINR offset value = CINR offset value of RSSI 5dB lower limit × (1-RSSI measurement value percentile RSSI5dB下限 )

[0067] +CINR offset value of RSSI 5dB upper limit × (1-RSSI measurement value percentile RSSI5dB上限 )

[0068] Among them, the CINR bias value of the RSSI 5dB lower limit is the RS-CINR bias value obtained in step (4.4), the CINR bias value of the RSSI 5dB upper limit is the RS-CINR bias value obtained in step (4.8), and the RSSI measurement value percentile RSSI5dB下限 The percentage of the RSSI measurement value from the lower limit within the RSSI 5dB upper and lower limits. RSSI5dB上限 It is the percentage of the RSSI measurement value within the RSSI 5dB upper and lower limits.

[0069] Preferably, the step (5) specifically comprises the following steps:

[0070] (5.1) The frequency scanning device updates the calibrated RS-RP and RS-CINR parameter values ​​and reports the measurement data.

[0071] The device for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device is mainly characterized in that the device comprises:

[0072] a processor configured to execute computer executable instructions;

[0073] A memory stores one or more computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above-mentioned method for automatically calibrating the CINR of the 5GNR scanning instrument device are implemented.

[0074] The processor for realizing automatic calibration processing for CINR of 5GNR frequency sweeper device has the main feature that the processor is configured to execute computer executable instructions. When the computer executable instructions are executed by the processor, the various steps of the above-mentioned method for realizing automatic calibration processing for CINR of 5GNR frequency sweeper device are realized.

[0075] The main feature of the computer-readable storage medium is that a computer program is stored thereon, and the computer program can be executed by a processor to implement the various steps of the above-mentioned method for automatically calibrating the CINR of a 5GNR frequency sweeper device.

[0076] The method, device, processor and computer-readable storage medium of the present invention for automatically calibrating the CINR of a 5GNR frequency scanner device can effectively improve the accuracy of the CINR measurement value of the 5GNR system, thereby effectively improving the credibility of the network coverage quality analysis of the 5GNR system. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 The present invention is a flowchart of a method for automatically calibrating the CINR of a 5GNR frequency sweeper device.

[0078] Figure 2 The present invention provides a flow chart of making an RP calibration table for implementing a method for automatically calibrating the CINR of a 5GNR frequency sweeper device.

[0079] Figure 3 The present invention provides a flow chart of making a CINR calibration table for a method of automatically calibrating the CINR of a 5GNR frequency sweeper device.

[0080] Figure 4 The present invention provides a flow chart of performing RP table lookup calibration for a method of automatically calibrating the CINR of a 5GNR frequency sweeper device.

[0081] Figure 5 The present invention provides a flow chart of the CINR multi-table interpolation calibration for the method of automatically calibrating the CINR of a 5GNR frequency sweeper device. DETAILED DESCRIPTION

[0082] In order to more clearly describe the technical content of the present invention, further description is given below in conjunction with specific embodiments.

[0083] The present invention implements a method for automatically calibrating the CINR of a 5GNR frequency sweeper device, which includes the following steps:

[0084] (1) The frequency sweeping device records the signal source to generate 5GNR waveform data without Gaussian white noise, and makes an RP calibration table;

[0085] (2) The frequency sweeping device records the signal source to generate 5GNR waveform data with Gaussian white noise added, and creates a CINR calibration table;

[0086] (3) Perform RP calibration on the raw data reported by the frequency scanning device according to the RP calibration table;

[0087] (4) Perform CINR multi-meter interpolation calibration on the data after RP table calibration;

[0088] (5) Report the frequency sweep data after RP table lookup calibration and CINR multi-table interpolation calibration.

[0089] As a preferred embodiment of the present invention, the step (1) specifically comprises the following steps:

[0090] (1.1) Set the total power of the signal source to -30dBm, do not add Gaussian white noise, and generate 5GNR waveform data;

[0091] (1.2) Use a frequency sweep device to measure 5GNR waveform data and record the measurement data;

[0092] (1.3) Determine whether the total power of the signal source is less than -100dBm. If so, proceed to step (1.5); otherwise, proceed to step (1.4);

[0093] (1.4) Reduce the total power of the signal source by 1 dB and generate 5GNR waveform data;

[0094] (1.5) Analyze the RP values ​​in the measured data and the theoretical RP values, and generate an RP calibration table.

[0095] As a preferred embodiment of the present invention, the scanning device in the step (1.2) needs to at least demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR scanning device, and the wireless parameters on the PSS channel and the SSS channel are optional demodulation information.

[0096] As a preferred embodiment of the present invention, the RP calibration table generated in step (1.5) uses RP offset values ​​at intervals of 1 dB, and uses an array indexed by RP values ​​to store the offset values.

[0097] As a preferred embodiment of the present invention, the step (2) specifically comprises the following steps:

[0098] (2.1) Set the total power of the signal source to -30dBm, add Gaussian white noise, set the CINR to -10dB, and generate 5GNR waveform data;

[0099] (2.2) Use a frequency sweep device to measure 5GNR waveform data and record the measurement data;

[0100] (2.3) Determine whether the signal source Gaussian white noise CINR is greater than 30dB. If not, continue to execute (2.4); otherwise, continue to execute (2.5);

[0101] (2.4) Increase the signal source Gaussian white noise CINR by 5 dB and generate 5GNR waveform data;

[0102] (2.5) Determine whether the total power of the signal source is less than -100dBm. If not, continue to execute (2.6); otherwise, continue to execute (2.7);

[0103] (2.6) Increase the total power of the signal source by 5 dB, set the Gaussian white noise CINR to -10 dB, and generate 5GNR waveform data;

[0104] (2.7) Analyze the CINR values ​​in the measured data and the theoretical CINR values, and generate a CINR calibration table grouped by RSSI level.

[0105] As a preferred embodiment of the present invention, in the step (2.2), the scanning device at least needs to demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR scanning device, and the wireless parameters on the PSS channel and the SSS channel are optional demodulation information.

[0106] As a preferred embodiment of the present invention, the values ​​in the CINR calibration table generated in step (2.7) are measured CINR values, and the RSSI levels are grouped at intervals of 5 dB, wherein the CINR interval in the calibration table for each group of RSSI levels is 5 dB.

[0107] As a preferred embodiment of the present invention, the step (3) specifically comprises the following steps:

[0108] (3.1) The frequency scanning device performs 5GNR base station demodulation;

[0109] (3.2) Round off the measured value of RS-RP;

[0110] (3.3) Look up the RP calibration table to obtain the calibration offset value of the RS-RP parameter;

[0111] (3.4) Calibrate the offset value of RS-RP parameters.

[0112] As a preferred embodiment of the present invention, in the step (3.1), at least the scanning device needs to demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR system. If the wireless parameter information on the PSS and SSS channels is demodulated, the PSS-RP and SSS-RP are calibrated through step (3).

[0113] As a preferred embodiment of the present invention, the step (4) specifically comprises the following steps:

[0114] (4.1) Obtain the CINR calibration table with a 5dB lower limit based on RSSI;

[0115] (4.2) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value;

[0116] (4.3) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value;

[0117] (4.4) Calculate the CINR offset value at the RSSI 5dB lower limit based on the percentile of the RS-CINR parameter value at the 5dB upper / lower limit;

[0118] (4.5) Obtain the CINR calibration table with a 5dB upper limit based on RSSI;

[0119] (4.6) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value;

[0120] (4.7) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value;

[0121] (4.8) Calculate the CINR offset value at the RSSI 5dB upper limit based on the percentiles of the RS-CINR parameter value at the 5dB upper and lower limits;

[0122] (4.9) Calculate the final CINR offset value based on the percentile of the RSSI parameter value within the upper and lower limits of 5dB;

[0123] (4.10) Calibrate the offset value of RS-CINR parameters.

[0124] As a preferred embodiment of the present invention, in the step (4.1), if the measured RSSI value is less than -100dBm, the 5dB lower limit CINR calibration table is cancelled, and the 5dB upper limit calibration table in the step (4.5) adopts the calibration table when the RSSI is -100dBm.

[0125] As a preferred embodiment of the present invention, in the step (4.2), if the measured RS-CINR value is less than -10dB, the 5dB lower limit CINR offset value is canceled, and the 5dB upper limit CINR offset value in the step (4.3) adopts the calibration value when RS-CINR is -10dB.

[0126] As a preferred embodiment of the present invention, in the step (4.3), if the measured RS-CINR value is greater than 30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in the step (4.2) adopts the calibration value when the RS-CINR is 30dB.

[0127] As a preferred embodiment of the present invention, the CINR offset value at the RSSI 5dB lower limit is calculated in step (4.4), specifically:

[0128] The CINR offset value at the RSSI 5dB lower limit is calculated according to the following formula:

[0129] CINR offset value of RSSI 5dB lower limit = CINR offset value CINR 5dB下限

[0130] ×(1-CINR measurement percentile CINR 5dB下限 )+CINR bias value CINR 5dB上限

[0131] ×(1-CINR measurement percentile CINR 5dB上限 )

[0132] Among them, CINR bias value CINR 5dB下限 is the RS-CINR offset value obtained in step (4.2), CINR offset value CINR 5dB上限 is the RS-CINR bias value obtained in step (4.3), the CINR measurement percentile CINR 5dB下限 The percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits. CINR 5dB上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

[0133] As a preferred embodiment of the present invention, in the step (4.5), if the measured RSSI value is greater than -30dBm, the 5dB upper limit CINR calibration table is cancelled, and the 5dB lower limit calibration table in the step (4.1) adopts the calibration table when the RSSI is -30dBm.

[0134] As a preferred embodiment of the present invention, in the step (4.6), if the measured RS-CINR value is less than -10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in the step (4.7) adopts the calibration value when the RS-CINR is -10dB;

[0135] As a preferred embodiment of the present invention, in the step (4.7), if the measured RS-CINR value is greater than 30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in the step (4.6) adopts the calibration value when the RS-CINR is 30dB;

[0136] As a preferred embodiment of the present invention, the CINR offset value at the RSSI 5dB upper limit is calculated in step (4.8), specifically:

[0137] The CINR offset value at the RSSI 5dB upper limit is calculated using the following formula:

[0138] CINR offset value of RSSI 5dB upper limit = CINR offset value CINR 5dB下限

[0139] ×(1-CINR measurement percentile CINR 5dB下限 )+CINR bias value CINR 5dB上限

[0140] ×(1-CINR measurement percentile CINR 5dB上限 )

[0141] Among them, CINR bias value CINR 5dB下限 is the RS-CINR bias value obtained in step (4.6), CINR bias value CINR 5dB上限 is the RS-CINR bias value obtained in step (4.7), the CINR measurement percentile CINR 5dB下限 The percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits. CINR 5dB上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

[0142] As a preferred embodiment of the present invention, the bias value of calculating the final CINR in step (4.9) is specifically:

[0143] The final CINR offset value is calculated according to the following formula:

[0144] CINR offset value = CINR offset value of RSSI 5dB lower limit × (1-RSSI measurement value percentile RSSI5d下限 )

[0145] +CINR offset value of RSSI 5dB upper limit × (1-RSSI measurement value percentile RSSI5d上限 )

[0146] Among them, the CINR bias value of the RSSI 5dB lower limit is the RS-CINR bias value obtained in step (4.4), the CINR bias value of the RSSI 5dB upper limit is the RS-CINR bias value obtained in step (4.8), and the RSSI measurement value percentile RSSI5dB下限 The percentage of the RSSI measurement value from the lower limit within the RSSI 5dB upper and lower limits, RSSI measurement value percentile RSSI5dB上限 It is the percentage of the RSSI measurement value within the RSSI 5dB upper and lower limits.

[0147] As a preferred embodiment of the present invention, the step (5) specifically comprises the following steps:

[0148] (5.1) The frequency scanning device updates the calibrated RS-RP and RS-CINR parameter values ​​and reports the measurement data.

[0149] The device for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device of the present invention, wherein the device comprises:

[0150] a processor configured to execute computer-executable instructions;

[0151] A memory stores one or more computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above-mentioned method for automatically calibrating the CINR of the 5GNR scanning instrument device are implemented.

[0152] The processor of the present invention is used to implement automatic calibration processing for the CINR of a 5GNR frequency sweeper device, wherein the processor is configured to execute computer-executable instructions. When the computer-executable instructions are executed by the processor, the various steps of the above-mentioned method for implementing automatic calibration processing for the CINR of a 5GNR frequency sweeper device are implemented.

[0153] The computer-readable storage medium of the present invention stores a computer program thereon, and the computer program can be executed by a processor to implement the various steps of the above-mentioned method for automatically calibrating the CINR of a 5GNR frequency sweeper device.

[0154] In a specific embodiment of the present invention, a method for automatically calibrating RP and CINR of a 5GNR scanning device is provided. The calibration calculation process of the technical solution needs to obtain the relevant 5dB lower limit CINR calibration table and 5dB upper limit CINR calibration table according to the RP calibration table according to the current measured RSSI value, and then calculate the CINR calibration values ​​in the 5dB lower limit CINR calibration table and the 5dB upper limit CINR calibration table respectively according to the measured RP value through an algorithm, and finally generate the final CINR calibration value through an algorithm.

[0155] The method comprises the following steps:

[0156] (1) The frequency sweeping device records the 5GNR waveform data generated by the signal source without adding Gaussian white noise, and makes an RP calibration table;

[0157] (2) The frequency sweeping device records the 5GNR waveform data generated by the signal source with Gaussian white noise added, and creates a CINR calibration table;

[0158] (3) Perform RP table calibration on the raw data reported by the frequency scanning device;

[0159] (4) Perform CINR multi-meter interpolation calibration on the data after RP table calibration;

[0160] (5) Report the frequency sweep data after RP and CINR calibration.

[0161] Preferably, the step (1) specifically includes the following steps:

[0162] (1.1) Set the total power of the signal source to -30dBm, do not add Gaussian white noise, and generate 5GNR waveform data;

[0163] (1.2) Use a frequency sweep device to perform measurements and record actual measurement data;

[0164] (1.3) Determine whether the total power of the signal source is less than -100dBm? If yes, proceed to step (1.5), otherwise proceed to step (1.4);

[0165] (1.4) The total power of the signal source is reduced by 1 dB, and 5GNR waveform data is generated;

[0166] (1.5) Analyze the difference between the actual RP value and the theoretical RP value in the recorded measurement data and form an RP calibration table.

[0167] Preferably, the present case is composed of one RP calibration table and 15 CINR calibration tables with total power ranging from -30dBm to -100dBm and 5dB intervals. The step (1.2) is specifically as follows:

[0168] The frequency scanning device needs to at least demodulate the EARFCN, PCI, RSSI, RS-RP, and RS-CINR information of the 5GNR system. The wireless parameters on the PSS and SSS channels are optional demodulation information.

[0169] Preferably, the step (1.5) is specifically as follows:

[0170] The generated RP calibration table is a calibration table of RP offset values ​​at intervals of 1 dB. The offset values ​​can be stored in an array indexed by RP values, so that index lookup can be performed quickly when performing calibration table lookup.

[0171] Preferably, the step (2) specifically includes the following steps:

[0172] (2.1) The total power of the signal source is -30dBm, Gaussian white noise is added, CINR is set to -10dB, and 5GNR waveform data is generated;

[0173] (2.2) Use a frequency sweep device to perform measurements and record actual measurement data;

[0174] (2.3) Determine whether the signal source Gaussian white noise CINR is greater than 30dB? If not, continue to execute (2.4), otherwise, continue to execute (2.5);

[0175] (2.4) The CINR of the signal source Gaussian white noise increases by 5dB, and 5GNR waveform data is generated;

[0176] (2.5) Determine whether the total power of the signal source is less than -100dBm? If not, continue to execute (2.6); otherwise, continue to execute (2.7);

[0177] (2.6) The total power of the signal source is increased by 5dB, the Gaussian white noise CINR is set to -10dB, and 5GNR waveform data is generated;

[0178] (2.7) Analyze the difference between the actual CINR value and the theoretical CINR value in the recorded measurement data, and form a CINR calibration table grouped by RSSI level.

[0179] Preferably, the step (2.2) is specifically as follows:

[0180] The frequency scanning device needs to at least demodulate the EARFCN, PCI, RSSI, RS-RP, and RS-CINR information of the 5GNR system. The wireless parameters on the PSS and SSS channels are optional demodulation information.

[0181] Preferably, the step (2.7) is specifically as follows:

[0182] The values ​​in the generated CINR calibration table are the actual measured CINR values; the table is a calibration table with RSSI levels grouped at 5dB intervals, where the CINR interval in the calibration table for each group of RSSI levels is also 5dB. If it is expressed in the form of a two-dimensional table, it is similar to the following table format:

[0183] -10 -5 0 5 10 15 20 25 30 -30 -35 -40 … -100

[0184] Preferably, the step (3) specifically includes the following steps:

[0185] (3.1) The frequency scanning device performs 5GNR base station demodulation, including EARFCN, PCI, RSSI, RS-RP, RS-CINR, etc.;

[0186] (3.2) Round off the measured value of RS-RP;

[0187] (3.3) Look up the RP calibration table to obtain the calibration offset value of the RS-RP parameter;

[0188] (3.4) Calibrate the offset value of RS-RP parameters.

[0189] Preferably, the step (3.1) is specifically as follows:

[0190] The frequency scanning device needs to at least demodulate the EARFCN, PCI, RSSI, RS-RP, and RS-CINR information of the 5GNR system. If the wireless parameter information on the PSS and SSS channels is demodulated, the steps described in step (3) can also be used to calibrate the PSS-RP and SSS-RP.

[0191] Preferably, the step (4) specifically includes the following steps:

[0192] (4.1) Obtain the CINR calibration table with a 5dB lower limit based on RSSI;

[0193] (4.2) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value;

[0194] (4.3) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value;

[0195] (4.4) Calculate the CINR offset value at the RSSI 5dB lower limit based on the percentile of the RS-CINR parameter value at the 5dB upper / lower limit;

[0196] (4.5) Obtain the CINR calibration table with a 5dB upper limit based on RSSI;

[0197] (4.6) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value;

[0198] (4.7) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value;

[0199] (4.8) Calculate the CINR offset value at the RSSI 5dB upper limit based on the percentile of the RS-CINR parameter value at the 5dB upper / lower limit;

[0200] (4.9) Calculate the final CINR offset value based on the percentile of the RSSI parameter value within the upper and lower limits of 5dB;

[0201] (4.10) Calibrate the offset value of RS-CINR parameters.

[0202] Preferably, the step (4.1) is specifically as follows:

[0203] If the measured RSSI value is <-100dBm, the 5dB lower limit CINR calibration table is cancelled, and the 5dB upper limit calibration table in step (4.5) adopts the calibration table with RSSI = -100dBm;

[0204] Preferably, the step (4.2) is specifically as follows:

[0205] If the measured RS-CINR value is <-10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in step (4.3) adopts the calibration value of RS-CINR = -10dB;

[0206] Preferably, the step (4.3) is specifically as follows:

[0207] If the measured RS-CINR value is >30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in step (4.2) adopts the calibration value of RS-CINR=30dB;

[0208] Preferably, the step (4.4) is specifically as follows:

[0209] The calculation formula for the CINR offset value at the RSSI 5dB lower limit is:

[0210] CINR offset value of RSSI 5dB lower limit = CINR offset value CINR 5dB下限

[0211] ×(1-CINR measurement percentile CINR 5dB下限 )+CINR bias value CINR 5dB上限

[0212] ×(1-CINR measurement percentile CINR 5dB上限 )

[0213] Where: CINR bias value CINR 5dB下限 is the RS-CINR bias value calculated in step (4.2);

[0214] CINR Bias Value CINR 5dB上限 is the RS-CINR bias value calculated in step (4.3);

[0215] CINR measurement percentile CINR 5dB下限 The percentage of the RS-CINR measurement value from the lower limit within the CINR 5dB upper and lower limits;

[0216] CINR measurement percentile CINR 5dB上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

[0217] Preferably, the step (4.5) is specifically as follows:

[0218] If the measured RSSI value is > -30dBm, the 5dB upper limit CINR calibration table is cancelled and the 5dB lower limit calibration table in step (4.1) adopts the calibration table with RSSI = -30dBm;

[0219] Preferably, the step (4.6) is specifically as follows:

[0220] If the measured RS-CINR value is <-10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in step (4.7) adopts the calibration value of RS-CINR = -10dB;

[0221] Preferably, the step (4.7) is specifically as follows:

[0222] If the measured RS-CINR value is >30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in step (4.6) adopts the calibration value of RS-CINR=30dB;

[0223] Preferably, the step (4.8) is specifically as follows:

[0224] The calculation formula for the CINR offset value at the RSSI 5dB upper limit is:

[0225] CINR offset value of RSSI 5dB upper limit = CINR offset value CINR 5dB下限

[0226] ×(1-CINR measurement percentile CINR 5dB下限 )+CINR bias value CINR 5dB上限

[0227] ×(1-CINR measurement percentile CINR 5dB上限 )

[0228] in:

[0229] CINR Bias Value CINR 5dB下限 is the RS-CINR bias value calculated in step (4.6);

[0230] CINR Bias Value CINR 5dB上限 is the RS-CINR bias value calculated in step (4.7);

[0231] CINR measurement percentile CINR 5dB下限 The percentage of the RS-CINR measurement value from the lower limit within the CINR 5dB upper and lower limits;

[0232] CINR measurement percentile CINR 5dB上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

[0233] Preferably, the step (4.9) is specifically as follows:

[0234] The final CINR offset value is calculated as:

[0235] CINR offset value = CINR offset value of RSSI 5dB lower limit × (1-RSSI measurement value percentile RSSI5dB下限 )

[0236] +CINR offset value of RSSI 5dB upper limit × (1-RSSI measurement value percentile RSSI5dB上限 )

[0237] in:

[0238] The CINR offset value of the RSSI 5dB lower limit is the RS-CINR offset value calculated in step (4.4);

[0239] The CINR offset value of the RSSI 5dB upper limit is the RS-CINR offset value calculated in step (4.8);

[0240] RSSI measurement percentile RSSI5dB下限 The percentage of the RSSI measurement value from the lower limit within the RSSI 5dB upper and lower limits;

[0241] RSSI measurement percentile RSSI5dB上限 The percentage of the RSSI measurement value from the upper limit within the RSSI 5dB upper and lower limits;

[0242] Preferably, the step (5) specifically includes the following steps:

[0243] (5.1) The frequency scanning device updates the calibrated RS-RP and RS-CINR parameter values ​​and reports the measurement data.

[0244] The specific implementation scheme of this embodiment can refer to the relevant description in the above embodiment, which will not be repeated here.

[0245] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0246] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0247] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0248] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0249] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the corresponding program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0250] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0251] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0252] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0253] The method, device, processor and computer-readable storage medium of the present invention for automatically calibrating the CINR of a 5GNR frequency scanner device can effectively improve the accuracy of the CINR measurement value of the 5GNR system, thereby effectively improving the credibility of the network coverage quality analysis of the 5GNR system.

[0254] In this specification, the present invention has been described with reference to specific embodiments thereof. However, it is apparent that various modifications and variations may be made without departing from the spirit and scope of the present invention. Therefore, the specification and drawings should be regarded as illustrative rather than restrictive.

Claims

1. A method for automatically calibrating the CINR of a 5GNR frequency sweeper device, It is characterized in that The method comprises the following steps: (1) The frequency sweeping device records the signal source to generate 5GNR waveform data without Gaussian white noise, and makes an RP calibration table; (2) The frequency sweeping device records the signal source to generate 5GNR waveform data with Gaussian white noise added, and creates a CINR calibration table; (3) Perform RP calibration on the raw data reported by the frequency scanning device according to the RP calibration table; (4) Perform CINR multi-meter interpolation calibration on the data after RP table calibration; (5) Report the frequency sweep data after RP table lookup calibration and CINR multi-table interpolation calibration.

2. The method for automatically calibrating the CINR of a 5GNR frequency sweeper according to claim 1, It is characterized in that The step (1) specifically comprises the following steps: (1.1) Set the total power of the signal source to -30dBm, do not add Gaussian white noise, and generate 5GNR waveform data; (1.2) Use a frequency sweep device to measure 5GNR waveform data and record the measurement data; (1.3) Determine whether the total power of the signal source is less than -100dBm. If so, proceed to step (1.5); otherwise, proceed to step (1.4); (1.4) Reduce the total power of the signal source by 1 dB and generate 5GNR waveform data; (1.5) Analyze the RP values ​​in the measured data and the theoretical RP values, and generate an RP calibration table.

3. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 2, It is characterized in that In the step (1.2), the scanning device needs to at least demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR scanning device, and the wireless parameters on the PSS channel and the SSS channel are optional demodulation information.

4. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 2, It is characterized in that The RP calibration table generated in step (1.5) uses RP offset values ​​at intervals of 1 dB, and uses an array indexed by RP values ​​to store the offset values.

5. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 1, It is characterized in that The step (2) specifically comprises the following steps: (2.1) Set the total power of the signal source to -30dBm, add Gaussian white noise, set the CINR to -10dB, and generate 5GNR waveform data; (2.2) Use a frequency sweep device to measure 5GNR waveform data and record the measurement data; (2.3) Determine whether the signal source Gaussian white noise CINR is greater than 30dB. If not, continue to execute (2.4); otherwise, continue to execute (2.5); (2.4) Increase the signal source Gaussian white noise CINR by 5 dB and generate 5GNR waveform data; (2.5) Determine whether the total power of the signal source is less than -100dBm. If not, continue to execute (2.6); otherwise, continue to execute (2.7); (2.6) Increase the total power of the signal source by 5 dB, set the Gaussian white noise CINR to -10 dB, and generate 5GNR waveform data; (2.7) Analyze the CINR values ​​in the measured data and the theoretical CINR values, and generate a CINR calibration table grouped by RSSI level.

6. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 5, It is characterized in that In the step (2.2), the scanning device needs to at least demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR scanning device, and the wireless parameters on the PSS channel and the SSS channel are optional demodulation information.

7. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 5, It is characterized in that The values ​​in the CINR calibration table generated in step (2.7) are the measured CINR values, and the RSSI levels are grouped at intervals of 5 dB, wherein the CINR interval in the calibration table for each group of RSSI levels is 5 dB.

8. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 1, It is characterized in that The step (3) specifically comprises the following steps: (3.1) The frequency scanning device performs 5GNR base station demodulation; (3.2) Round off the measured value of RS-RP; (3.3) Look up the RP calibration table to obtain the calibration offset value of the RS-RP parameter; (3.4) Calibrate the offset value of RS-RP parameters.

9. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 8, It is characterized in that In the step (3.1), at least the scanning device needs to demodulate the EARFCN information, PCI information, RSSI information, RS-RP information, and RS-CINR information of the 5GNR system. If the wireless parameter information on the PSS and SSS channels is demodulated, the PSS-RP and SSS-RP are calibrated through step (3).

10. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 1, It is characterized in that The step (4) specifically comprises the following steps: (4.1) Obtain the CINR calibration table with a 5dB lower limit based on RSSI; (4.2) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value; (4.3) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value; (4.4) Calculate the CINR offset value at the RSSI 5dB lower limit based on the percentile of the RS-CINR parameter value at the 5dB upper / lower limit; (4.5) Obtain the CINR calibration table with a 5dB upper limit based on RSSI; (4.6) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB lower limit of the RS-CINR parameter value; (4.7) According to the CINR calibration table, look up the table to obtain the CINR offset value of the 5dB upper limit of the RS-CINR parameter value; (4.8) Calculate the CINR offset value at the RSSI 5dB upper limit based on the percentiles of the RS-CINR parameter value at the 5dB upper and lower limits; (4.9) Calculate the final CINR offset value based on the percentile of the RSSI parameter value within the upper and lower limits of 5dB; (4.10) Calibrate the offset value of RS-CINR parameter.

11. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that In the step (4.1), if the measured RSSI value is less than -100dBm, the 5dB lower limit CINR calibration table is cancelled, and the 5dB upper limit calibration table in the step (4.5) adopts the calibration table when the RSSI is -100dBm.

12. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that In the step (4.2), if the measured RS-CINR value is less than -10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in the step (4.3) adopts the calibration value when RS-CINR is -10dB.

13. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that In the step (4.3), if the measured RS-CINR value is greater than 30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in the step (4.2) adopts the calibration value when the RS-CINR is 30dB.

14. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that The CINR offset value calculated in the step (4.4) at the RSSI 5dB lower limit is specifically: The CINR offset value at the RSSI 5dB lower limit is calculated according to the following formula: CINR offset value of RSSI 5dB lower limit = CINR offset value CINR 5dB 下限 ×(1-CINR measurement percentile CINR 5dB 下限 )+CINR bias value CINR 5dB 上限 ×(1-CINR measurement percentile CINR 5dB 上限 ) Among them, CINR bias value CINR 5dB 下限 is the RS-CINR offset value obtained in step (4.2), CINR offset value CINR 5dB 上限 is the RS-CINR bias value obtained in step (4.3), the CINR measurement percentile CINR 5dB 下限 The percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits. CINR 5dB 上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

15. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that In the step (4.5), if the measured RSSI value is greater than -30dBm, the 5dB upper limit CINR calibration table is cancelled, and the 5dB lower limit calibration table in the step (4.1) adopts the calibration table when the RSSI is -30dBm.

16. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that In the step (4.6), if the measured RS-CINR value is less than -10dB, the 5dB lower limit CINR offset value is cancelled, and the 5dB upper limit CINR offset value in the step (4.7) adopts the calibration value when RS-CINR is -10dB.

17. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that In the step (4.7), if the measured RS-CINR value is greater than 30dB, the 5dB upper limit CINR offset value is cancelled, and the 5dB lower limit CINR offset value in the step (4.6) adopts the calibration value when the RS-CINR is 30dB.

18. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that The CINR offset value at the RSSI 5dB upper limit is calculated in step (4.8), specifically: The CINR offset value at the RSSI 5dB upper limit is calculated using the following formula: CINR offset value of RSSI 5dB upper limit = CINR offset value CINR 5dB 下限 ×(1-CINR measurement percentile CINR 5dB 下限 )+CINR bias value CINR 5dB 上限 ×(1-CINR measurement percentile CINR 5dB 上限 ) Among them, CINR bias value CINR 5dB 下限 is the RS-CINR bias value obtained in step (4.6), CINR bias value CINR 5dB 上限 is the RS-CINR bias value obtained in step (4.7), the CINR measurement percentile CINR 5dB 下限 The percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits. CINR 5dB 上限 It is the percentage of the RS-CINR measurement value within the CINR 5dB upper and lower limits.

19. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 10, It is characterized in that The bias value of the final CINR is calculated in step (4.9), specifically: The final CINR offset value is calculated according to the following formula: CINR offset value = CINR offset value of RSSI 5dB lower limit × (1-RSSI measurement value percentile RSSI 5dB 下限 )+CINR offset value of RSSI 5dB upper limit×(1-RSSI measurement value percentile RSSI 5dB 上限 ) Among them, the CINR offset value of the RSSI 5dB lower limit is the RS-CINR offset value obtained in step (4.4), the CINR offset value of the RSSI 5dB upper limit is the RS-CINR offset value obtained in step (4.8), and the RSSI measurement value percentile RSSI 5dB B下限 The percentage of the RSSI measurement value from the lower limit within the RSSI 5dB upper and lower limits, RSSI measurement value percentile RSSI 5dB B上限 It is the percentage of the RSSI measurement value within the RSSI 5dB upper and lower limits.

20. The method for realizing automatic calibration processing for CINR of a 5GNR frequency sweeper device according to claim 1, It is characterized in that The step (5) specifically comprises the following steps: (5.1) The frequency scanning device updates the calibrated RS-RP and RS-CINR parameter values ​​and reports the measurement data.

21. A device for automatically calibrating the CINR of a 5GNR frequency sweeper device, It is characterized in that The device comprises: a processor configured to execute computer executable instructions; A memory storing one or more computer executable instructions, wherein when the computer executable instructions are executed by the processor, the steps of the method for automatically calibrating the CINR of a 5GNR frequency sweeper device as described in any one of claims 1 to 20 are implemented.

22. A processor for implementing automatic calibration processing for CINR of a 5GNR frequency sweeper device, It is characterized in that The processor is configured to execute computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for automatically calibrating the CINR of a 5GNR frequency sweeper device as described in any one of claims 1 to 20 are implemented.

23. A computer-readable storage medium, It is characterized in that A computer program is stored thereon, and the computer program can be executed by a processor to implement the various steps of the method for automatically calibrating the CINR of a 5GNR frequency sweeper device as described in any one of claims 1 to 20.

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