A dcoc calibration and tracking method

Abstract

The application relates to the technical field of wireless communication, and discloses a DCOC calibration and tracking method based on a radio frequency receiver composed of a low noise amplifier (LNA), a mixer (Mixer), a polyphase filter (PPF) and an analog-to-digital converter (ADC); the method specifically comprises the following steps: when the radio frequency receiver is powered on or restarted, a preset DC calibration method is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF); when a temperature sensor detects that the temperature change of the radio frequency receiver is out of a set range, the preset DC calibration method is used to perform DC calibration again on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF); and in an idle state of the receiver or a service transmission gap, a Kalman filtering algorithm is used to track the DC residual value of the low noise amplifier (LNA). The application performs DC calibration on a communication receiver, especially a zero intermediate frequency receiver with high direct current bias requirement, and solves the problem that the DC of the receiver is greatly affected by temperature and aging and then affects the signal quality.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to a DCOC calibration and tracking method. Background Technology

[0002] In RF receivers, the DC offset of the RF path primarily originates from the low-noise amplifier (LNA) and polyphase filter (PPF). Both the LNA and PPF offer multiple gain values, and the DC offset varies with each gain, directly impacting the receiving performance of the zero-IF receiver. The DC offset differs across RF receiver gains, necessitating the resolution of DCOC for different gain combinations. Due to the numerous gain combinations involved and the need to calibrate both the I and Q paths of the signal, calibrating all gain combinations takes a considerable amount of time. Furthermore, the reliability of a single calibration is low, requiring filtering of multiple calibration results. Summary of the Invention

[0003] This invention provides a DCOC calibration and tracking method for communication receivers, especially zero-IF receivers with high DC bias requirements, to perform DC calibration and solve the problem that the receiver's DC is greatly affected by temperature and aging, thus affecting signal quality.

[0004] This invention provides a DCOC calibration and tracking method based on an RF receiver, which includes a low-noise amplifier (LNA), a mixer, a polyphase filter (PPF), and an analog-to-digital converter (ADC) connected in sequence. The method specifically includes:

[0005] S1. When the radio frequency receiver is powered on or restarted, a preset DC calibration method is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF); wherein, the low noise amplifier (LNA) has a total of M gain levels, the polyphase filter (PPF) has a total of N gain levels, and the total gain combination is M×N.

[0006] S2. When the temperature sensor detects that the temperature change of the radio frequency receiver is outside the set range, the DC calibration method is used to recalibrate all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF).

[0007] S3. In the idle state of the receiver or during the service transmission interval, the DC residual value of the low noise amplifier (LNA) is tracked using a Kalman filter algorithm.

[0008] Furthermore, in steps S1 and S2, the preset DC calibration method includes:

[0009] S101, Order This indicates the level of the low-noise amplifier (LNA), and lets S102: The settings of both the low-noise amplifier (LNA) and the polyphase filter (PPF) are fixed at setting 1. ;

[0010] S103. Calibrate the multiphase filter PPF, that is, short-circuit the input of the multiphase filter PPF by using an inductor grounding method. At this time, only DC signals are allowed to pass through. The average value of the ADC output signal at this time is used as the DC offset of the current multiphase filter PPF level, that is, DC bias.

[0011] S104. Compensate the signal before the analog-to-digital converter (ADC) using the current calibration value, and open the input of the polyphase filter (PPF).

[0012] S105. Calibrate the low noise amplifier (LNA) by short-circuiting the input of the LNA using an inductor grounding method. At this time, only DC signals are allowed to pass through. The average value of the ADC output signal at this time is used as the DC offset of the current LNA range, i.e., DC bias.

[0013] S106. Determine whether the low-noise amplifier (LNA) is in the M range.

[0014] S107. If the low-noise amplifier (LNA) is not in the Mth position, then let Return to step S105;

[0015] S108. If the multiphase filter PPF is at the M level, then determine whether the multiphase filter PPF is at the N level.

[0016] S109. If the position of the polyphase filter PPF is not in the Nth position, then let Return to step S103;

[0017] S110. If the multiphase filter PPF is in the Nth position, the process ends.

[0018] Furthermore, in step S103, the DC offset of the PPF setting of the multiphase filter includes the DC offset of the in-phase component I path and the quadrature component Q path.

[0019] Furthermore, the range gain of the low-noise amplifier (LNA) is expressed as follows: The step gain of the polyphase filter PPF is expressed as: ;in, and These are the lowest gain levels, i.e., the first gain levels, for the low-noise amplifier (LNA) and the polyphase filter (PPF), respectively. and These are the step levels for the low-noise amplifier (LNA) and the polyphase filter (PPF), respectively.

[0020] Furthermore, in step S2, the set range is -10℃ to 10℃.

[0021] Furthermore, in step S3, when tracking the residual DC value of the low-noise amplifier (LNA) using the Kalman filter algorithm, the PPF level of the multiphase filter is fixed at the highest gain level, i.e. files;

[0022] Each level of the low-noise amplifier (LNA) is tracked independently, meaning that each level of the LNA employs a separate Kalman filter algorithm.

[0023] Further, in step S3, the residual DC value of a single low-noise amplifier (LNA) setting is tracked using a Kalman filter algorithm, specifically including:

[0024] S301. Initialize the parameters of the Kalman filter, including the initial state. Initial covariance Measurement matrix Process noise covariance and measurement noise covariance ;

[0025] S302, Input measurement value; wherein, the measurement value is the DC calibration value of the low noise amplifier LNA measured during the service gap according to step S105;

[0026] S303. Predict the current DC bias and covariance using the previous DC estimate and state transition matrix F; wherein, the DC bias is... , The process noise is; the covariance is ;

[0027] S304, Update Kalman Gain Update covariance S305, Correcting the prediction results yields the corrected value. , as the current residual value of DC;

[0028] S306, Execute cyclically to achieve real-time tracking of the DC bias of the low-noise amplifier (LNA).

[0029] This invention also provides a DCOC calibration and tracking device based on a radio frequency receiver, the radio frequency receiver comprising a low-noise amplifier (LNA), a mixer, a polyphase filter (PPF), and an analog-to-digital converter (ADC) connected in sequence; the device specifically includes:

[0030] The first calibration module is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF) using a preset DC calibration method when the radio frequency receiver is powered on or restarted; wherein the low noise amplifier (LNA) has M gain levels, the polyphase filter (PPF) has N gain levels, and the total gain combination is M×N.

[0031] The second calibration module is used to recalibrate all gain combinations of the low noise amplifier (LNA) and polyphase filter (PPF) using a preset DC calibration method when the temperature sensor detects that the temperature change of the RF receiver is outside the set range.

[0032] The tracking module is used to track the residual DC value of the low-noise amplifier (LNA) using a Kalman filter algorithm during the receiver's idle state or service transmission interval.

[0033] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method.

[0034] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0035] The beneficial effects of this invention are as follows:

[0036] 1. This invention performs DC calibration on communication receivers, especially zero-IF receivers with high DC bias requirements, to solve the problem that the DC of the receiver fluctuates greatly due to temperature and aging, thus affecting signal quality.

[0037] 2. The results of a single calibration are affected by the environment and temperature, and may have large errors. The results of this invention, which are calibrated multiple times and effectively filtered, are more accurate and reliable.

[0038] 3. The total time required for simultaneous calibration of different gain combinations is relatively long, and the DC value changes with temperature and aging. This invention performs multiple calibrations and filtering of a single gain combination for different combinations during service transmission intervals, achieving real-time tracking calibration. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the radio frequency receiver in this invention.

[0040] Figure 2 This is a schematic flowchart of the DCOC calibration method of the present invention.

[0041] Figure 3 This is a schematic diagram of the DC calibration method preset in this invention.

[0042] Figure 4 This is a schematic diagram of the Kalman filter structure in this invention.

[0043] Figure 5 This is a schematic diagram of DC residue when no separate calibration is performed in this invention.

[0044] Figure 6 This is a schematic diagram of DC residue after individual calibration in this invention.

[0045] Figure 7 This is a schematic diagram of DC residual tracking using Kalman filtering in this invention.

[0046] Figure 8 This is a schematic diagram of the device structure according to an embodiment of the present invention.

[0047] Figure 9 This is a schematic diagram of the internal structure of a computer device according to an embodiment of the present invention.

[0048] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0049] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0050] This invention provides a DCOC calibration and tracking method based on an RF receiver, such as... Figure 1 As shown, the RF receiver includes a low-noise amplifier (LNA), a mixer, a poly-phase filter (PPF), and an analog-to-digital converter (ADC) connected in sequence. The DC offset of the RF path mainly comes from the LNA and PPF. Both the LNA and PPF have multiple gain values ​​to choose from, and the DC offset of different gains is different. The magnitude of the DC offset directly affects the receiving performance of the zero-IF receiver.

[0051] In response to the above issues, such as Figure 1 As shown, this method uses the following approach for DCOC calibration:

[0052] S1. When the RF receiver is powered on or restarted, a preset DC calibration method is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF); wherein, the low noise amplifier (LNA) has a total of M gain levels, the polyphase filter (PPF) has a total of N gain levels, and the total gain combinations are M×N; that is, DC calibration is performed on the I and Q paths of the combination of LNA (low noise amplifier) ​​with a total of M gain levels and PPF (polyphase filter) with N gain levels (a total of M×N combinations).

[0053] S2. When the temperature sensor detects that the temperature change of the radio frequency receiver is outside the set range (-10℃~10℃), the DC calibration of all gain combinations of the low noise amplifier (LNA) and polyphase filter (PPF) is re-performed using a preset DC calibration method.

[0054] S3. In the receiver idle state (the receiver is not in the service data transmission state) or service transmission gap (a short interval in the normal data transmission process), the DC residual value of the low noise amplifier (LNA) is tracked using the Kalman filter algorithm.

[0055] In one embodiment, such as Figure 3 As shown, in steps S1 and S2, the preset DC calibration method includes:

[0056] S101, Order This indicates the level of the low-noise amplifier (LNA), and lets This indicates the PPF setting of the polyphase filter.

[0057] The range gain of the low-noise amplifier (LNA) is expressed as follows: The step gain of the polyphase filter PPF is expressed as: ;in, and These are the lowest gain levels, i.e., the first gain levels, for the low-noise amplifier (LNA) and the polyphase filter (PPF), respectively. and These are the step levels for the low-noise amplifier (LNA) and the polyphase filter (PPF), respectively.

[0058] S102. In the initial calibration state, both the low-noise amplifier (LNA) and the polyphase filter (PPF) are fixed at setting 1. ;

[0059] S103. Calibrate the multiphase filter PPF, that is, short-circuit the input of the multiphase filter PPF by using an inductor grounding method (Short PPF's input). At this time, only DC signals are allowed to pass through. Therefore, the average value of the ADC output signal at this time is used as the DC offset of the current multiphase filter PPF level, which is divided into the DC offset of the in-phase component I path and the quadrature component Q path.

[0060] S104. After completing the DC calibration of the current polyphase filter PPF, the signal is compensated before the analog-to-digital converter (ADC) using the current calibration value. Open the input of the polyphase filter PPF. (Open PPF's input) means that inductor grounding is not performed.

[0061] S105. Calibrate the low-noise amplifier (LNA) by short-circuiting the input of the LNA using an inductor grounding method (Short LNA's input). At this time, only DC signals are allowed to pass through. The average value of the ADC output signal at this time is used as the DC offset of the current LNA range, which is divided into the DC offset of the in-phase component I path and the quadrature component Q path.

[0062] After completing the calibration of a set of low-noise amplifier (LNA) and polyphase filter (PPF) range combinations, fix the PPF range and calibrate the different ranges of the LNA in sequence. The specific traversal process is shown in steps S106-S110.

[0063] S106. Determine whether the low-noise amplifier (LNA) is in the M range.

[0064] S107. If the low-noise amplifier (LNA) is not in the Mth position, then let Return to step S105;

[0065] S108. If the multiphase filter PPF is at the M level, then determine whether the multiphase filter PPF is at the N level.

[0066] S109. If the position of the polyphase filter PPF is not in the Nth position, then let Return to step S103;

[0067] S110. If the multiphase filter PPF is in the Nth position, the process ends.

[0068] In one embodiment, both temperature and aging have a significant impact on DC residual. The difference lies in the fact that temperature changes have a more rapid impact on DC residual, requiring timely tracking and calibration. The method employed is that when the temperature sensor detects a certain temperature change, such as a change exceeding ±10°C (the standard for a certain change is a temperature change exceeding 10°C; based on experience, DC residual changes caused by temperature changes exceeding 10°C will affect receiver performance, and a complete recalibration is necessary when the temperature change reaches a certain level because DC residual changes rapidly with temperature), then... Figure 3 The process involves recalibrating the DC current of each low-noise amplifier (LNA) and polyphase filter (PPF) combination. The effects of aging on residual DC current are relatively slow and require long-term monitoring.

[0069] To address aging issues, a Kalman filter algorithm is used to track residual DC. In the RF receiver, the gain step of the polyphase filter (PPF) is larger than that of the low-noise amplifier (LNA). Since the residual DC value is positively correlated with the gain, the primary source of DC is the LNA; therefore, only the residual DC value of the LNA needs to be tracked. Because the receiver's performance is mainly reflected at high gain, when using a Kalman filter to track the residual DC of the LNA, the PPF setting of the polyphase filter is fixed at the highest gain setting. File. For example... Figure 4 This is a diagram of a Kalman filter. Each position of the multiphase filter's power factor (PPF) is tracked independently; that is, each position has its own Kalman filter. The processing flow for DC bias tracking of a single PPF position is as follows:

[0070] S301. Initialize the parameters of the Kalman filter, including the initial state. Initial covariance Measurement matrix Process noise covariance and measurement noise covariance ;

[0071] S302, Input measurement value; wherein, the measurement value is the DC calibration value of the low noise amplifier LNA measured during the service gap according to step S105;

[0072] S303. Predict the current DC bias and covariance using the previous DC estimate and state transition matrix F; wherein, the DC bias is... , The process noise is; the covariance is ;

[0073] S304, Update Kalman Gain Update covariance ;

[0074] S305. Correct the prediction results to obtain the corrected value. , as the current residual value of DC;

[0075] S306, Execute cyclically to achieve real-time tracking of the DC bias of the low-noise amplifier (LNA).

[0076] To address the aging issue, the LNA is calibrated sequentially at different gain levels during the RF receiver's idle state and transmission gap (TG). The calibration values ​​are input into independent Kalman filters, and the output correction values ​​at the corresponding gain are used as the current estimates. Through a limited number of measurements, the residual DC value is continuously tracked. This ensures that the receiver maintains a small residual DC value at different gains, guaranteeing receiver performance.

[0077] This invention calibrates DC vestiges for different gain combinations, ensuring receiver performance under varying receive gains. (See attached document.) Figure 5 The data shows that without separate calibration, the residual DC voltage can reach tens of mV; see [link / reference]. Figure 6 The data shows that DC residue is almost zero after individual calibration.

[0078] See Figure 7 As shown in the figure, the present invention uses Kalman filtering to track DC residues, achieving fast convergence without requiring much storage space.

[0079] This invention also provides a DCOC calibration and tracking device based on a radio frequency receiver, the radio frequency receiver comprising a low-noise amplifier (LNA), a mixer, a polyphase filter (PPF), and an analog-to-digital converter (ADC) connected in sequence; the device specifically includes:

[0080] The first calibration module is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF) using a preset DC calibration method when the radio frequency receiver is powered on or restarted; wherein the low noise amplifier (LNA) has M gain levels, the polyphase filter (PPF) has N gain levels, and the total gain combination is M×N.

[0081] The second calibration module is used to recalibrate all gain combinations of the low noise amplifier (LNA) and polyphase filter (PPF) using a preset DC calibration method when the temperature sensor detects that the temperature change of the RF receiver is outside the set range.

[0082] The tracking module is used to track the residual DC value of the low-noise amplifier (LNA) using a Kalman filter algorithm during the receiver's idle state or service transmission interval.

[0083] Each of the above modules is used to perform the corresponding steps in the DCOC calibration and tracking method described above. The specific implementation method is as described in the above method embodiment, and will not be repeated here.

[0084] like Figure 8 As shown, the present invention also provides a computer device, which may be a server, and its internal structure may be as follows: Figure 8 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores all data required for the DCOC calibration and tracking method process. The network interface allows communication with external terminals via a network connection. The computer program is executed by the processor to implement the DCOC calibration and tracking method.

[0085] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer equipment on which the present application is applied.

[0086] An embodiment of this application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements any one of the DCOC calibration and tracking methods described above.

[0087] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0088] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0089] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A DCOC calibration and tracking method, characterized in that, Based on an RF receiver, the RF receiver includes a low-noise amplifier (LNA), a mixer, a polyphase filter (PPF), and an analog-to-digital converter (ADC) connected in sequence; the method specifically includes: S1. When the radio frequency receiver is powered on or restarted, a preset DC calibration method is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF); wherein, the low noise amplifier (LNA) has a total of M gain levels, the polyphase filter (PPF) has a total of N gain levels, and the total gain combination is M×N. S2. When the temperature sensor detects that the temperature change of the radio frequency receiver is outside the set range, the DC calibration method is used to recalibrate all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF). S3. In the idle state of the radio frequency receiver or during the service transmission gap, the DC residual value of the low noise amplifier (LNA) is tracked using a Kalman filter algorithm. During tracking, the level of the polyphase filter (PPF) is fixed at the highest gain level, and each level of the low noise amplifier (LNA) is tracked independently. That is, each level of the low noise amplifier (LNA) uses a set of Kalman filter algorithms.

2. The DCOC calibration and tracking method according to claim 1, characterized in that, In steps S1 and S2, the preset DC calibration method includes: S101. Let i = 1, 2, ..., M represent the range of the low noise amplifier (LNA), and let j = 1, 2, ..., N represent the range of the polyphase filter (PPF). S102. Fix the settings of the low-noise amplifier (LNA) and the polyphase filter (PPF) to the first setting, i.e., i = 1, j = 1; S103. Calibrate the multiphase filter PPF, that is, short-circuit the input of the multiphase filter PPF by using an inductor grounding method. At this time, only DC signals are allowed to pass through. The average value of the ADC output signal at this time is used as the DC offset of the current multiphase filter PPF level, that is, DC bias. S104. Compensate the signal before the analog-to-digital converter (ADC) using the current calibration value, and open the input of the polyphase filter (PPF). S105. Calibrate the low noise amplifier (LNA) by short-circuiting the input of the LNA using an inductor grounding method. At this time, only DC signals are allowed to pass through. The average value of the ADC output signal at this time is used as the DC offset of the current LNA range, i.e., DC bias. S106. Determine whether the low-noise amplifier (LNA) is in the M range. S107. If the low noise amplifier (LNA) is not in the Mth position, let i = i + 1 and return to step S105. S108. If the low noise amplifier (LNA) is in the M position, then determine whether the polyphase filter (PPF) is in the N position. S109. If the position of the multiphase filter PPF is not in the Nth position, then let j = j + 1 and return to step S103. S110. If the multiphase filter PPF is in the Nth position, the process ends.

3. The DCOC calibration and tracking method according to claim 2, characterized in that, In step S103, the DC offset of the PPF setting of the multiphase filter includes the DC offset of the in-phase component I path and the quadrature component Q path.

4. The DCOC calibration and tracking method according to claim 2, characterized in that, The range gain of the low-noise amplifier (LNA) is expressed as (G I0 +Δ I (i-1)dB, the range gain of the polyphase filter PPF is expressed as (G P0 +Δ P (j-1))dB; where G I0 and G P0 These are the lowest gain (i.e., the first gain) of the low-noise amplifier (LNA) and the polyphase filter (PPF), respectively. I and Δ P These are the step levels for the low-noise amplifier (LNA) and the polyphase filter (PPF), respectively.

5. The DCOC calibration and tracking method according to claim 1, characterized in that, In step S2, the set range is -10℃ to 10℃.

6. The DCOC calibration and tracking method according to claim 5, characterized in that, In step S3, the residual DC value of a single low-noise amplifier (LNA) setting is tracked using a Kalman filter algorithm, specifically including: S301. Initialize the parameters of the Kalman filter, including the initial state x0, the initial covariance P0, the measurement matrix H, the process noise covariance Q, and the measurement noise covariance R; S302, Input measurement value; wherein, the measurement value is the DC calibration value of the low noise amplifier LNA measured during the service gap according to step S105; S303. Predict the current DC bias and covariance using the previous DC estimate and state transition matrix F; wherein, the DC bias is... ω k For process noise; x k-1 This is the estimated value of the DC bias of the low-noise amplifier (LNA) at the previous time, i.e., time k-1; the covariance is... S304, Update Kalman Gain Update covariance S305. Correct the prediction results to obtain the corrected value. As the current residual value of DC; S306, Execute cyclically to achieve real-time tracking of the DC bias of the low-noise amplifier (LNA).

7. A DCOC calibration and tracking device, characterized in that, Based on an RF receiver, the RF receiver includes a low-noise amplifier (LNA), a mixer, a polyphase filter (PPF), and an analog-to-digital converter (ADC) connected in sequence; the device specifically includes: The first calibration module is used to perform DC calibration on all gain combinations of the low noise amplifier (LNA) and the polyphase filter (PPF) using a preset DC calibration method when the radio frequency receiver is powered on or restarted; wherein the low noise amplifier (LNA) has M gain levels, the polyphase filter (PPF) has N gain levels, and the total gain combination is M×N. The second calibration module is used to recalibrate all gain combinations of the low noise amplifier (LNA) and polyphase filter (PPF) using a preset DC calibration method when the temperature sensor detects that the temperature change of the RF receiver is outside the set range. The tracking module is used to track the DC residual value of the low noise amplifier (LNA) using a Kalman filter algorithm when the RF receiver is idle or during service transmission intervals. During tracking, the PPF (polyphase filter power supply) is fixed at the highest gain level, and each level of the LNA is tracked independently. That is, each level of the LNA uses a set of Kalman filter algorithms.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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