DCOC calibration and tracking method

Abstract

The invention relates to the technical field of wireless communication, and discloses a DCOC calibration and tracking method which is 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 a radio frequency receiver is powered on or restarted, performing DC calibration on all gain combinations of a low noise amplifier (LNA) and a polyphase filter (PPF) by adopting a preset DC calibration method; when the temperature sensor detects that the temperature change of the radio frequency receiver is out of a set range, performing DC calibration on all gain combinations of a low noise amplifier (LNA) and a polyphase filter (PPF) again by adopting a preset DC calibration method; and tracking a DC residual value of a low noise amplifier (LNA) by using a Kalman filtering algorithm in an idle state of a receiver or a service transmission gap. According to the invention, DC calibration is carried out on a communication receiver, especially a zero intermediate frequency receiver with a high DC bias requirement, and the problem that the signal quality is influenced because the DC of the receiver is greatly influenced by temperature and aging and fluctuates is solved.

Description

Technical Field

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

[0002] In the RF receiver, the DC offset of the RF path mainly comes from the low noise amplifier (LNA) and the poly-phase filter (PPF). Both the low noise amplifier LNA and the poly-phase filter PPF have multiple gain values ​​to choose from, and the DC residuals of different gains are different, and the size of the DC residual directly affects the receiving performance of the zero intermediate frequency receiver. The DC offsets of different gains of the RF receiver are different, and the DCOC of different gain combinations needs to be solved. Since there are many gain combinations involved, and both the I and Q paths of the signal need to be calibrated, it will take a long time to calibrate all gain combinations. In addition, the reliability of the results of a single calibration is not high, and multiple calibration results need to be filtered. Summary of the invention

[0003] The present invention provides a DCOC calibration and tracking method, which performs DC calibration on a communication receiver, especially a zero intermediate frequency receiver with high DC bias requirements, to solve the problem that the DC of the receiver fluctuates greatly due to temperature and aging, thereby affecting signal quality.

[0004] The present invention provides a DCOC calibration and tracking method, which is based on a radio frequency receiver, wherein the radio frequency receiver includes a low noise amplifier LNA, a mixer Mixer, a polyphase filter PPF and an analog-to-digital converter ADC connected in sequence; the method specifically includes: 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 gears, the polyphase filter PPF has a total of N gain gears, and the total gain combination is M×N; S2. When the temperature sensor detects that the temperature change of the RF receiver is outside a set range, a preset DC calibration method is used to re-DC calibrate all gain combinations of the low noise amplifier LNA and the polyphase filter PPF; S3. In an idle state of the receiver or in a service transmission gap, a Kalman filter algorithm is used to track a DC residual value of the low noise amplifier LNA.

[0005] Furthermore, in step S1 and step S2, the preset DC calibration method includes: S101, Order represents the gear position of the low noise amplifier LNA, and Indicates the gear position of the polyphase filter PPF; S102, the gear positions of the low noise amplifier LNA and the polyphase filter PPF are fixed at the first gear, that is, ; S103, calibrating the polyphase filter PPF, i.e., short-circuiting the input of the polyphase filter PPF by using an inductor grounding method, so that only a DC signal is allowed to pass through, and taking the mean value of the ADC output signal at this time as the DC offset of the current gear of the polyphase filter PPF, i.e., the DC bias; S104, using the current calibration value to compensate the signal before the analog-to-digital converter ADC, and opening the input of the polyphase filter PPF; S105, calibrating the low noise amplifier LNA, i.e., short-circuiting the input of the low noise amplifier LNA by using an inductor grounding method, so that only a DC signal is allowed to pass through, and taking the average value of the ADC output signal at this time as the DC offset of the current gear of the low noise amplifier LNA, i.e., the DC bias; S106, determining whether the gear position of the low noise amplifier LNA is in the Mth gear; S107, if the gear position of the low noise amplifier LNA is not in the Mth gear, set , return to step S105; S108, if the gear position of the polyphase filter PPF is at the Mth gear, determining whether the gear position of the polyphase filter PPF is at the Nth gear; S109: If the gear position of the polyphase filter PPF is not in the Nth gear, , return to step S103; S110: If the gear position of the polyphase filter PPF is at the Nth gear position, the process ends.

[0006] Furthermore, in the step S103, the DC offset of the gear of the polyphase filter PPF includes the DC offset of the in-phase component I and the orthogonal component Q.

[0007] Furthermore, the gear gain of the low noise amplifier LNA is expressed as , the gear gain of the polyphase filter PPF is expressed as ;in, and are respectively the lowest gain of the low noise amplifier LNA and the polyphase filter PPF, i.e., the first gain, and They are respectively the gear steps of the low noise amplifier LNA and the polyphase filter PPF.

[0008] Furthermore, in step S2, the setting range is -10°C to 10°C.

[0009] Furthermore, in step S3, when the DC residual value of the low noise amplifier LNA is tracked by using the Kalman filter algorithm, the gear of the polyphase filter PPF is fixed at the highest gain gear, that is, files; Each gear position of the low noise amplifier LNA is tracked independently, that is, each gear position of the low noise amplifier LNA adopts a set of Kalman filter algorithms.

[0010] Furthermore, in step S3, the DC residual value of a single low noise amplifier LNA gear is tracked using a Kalman filter algorithm, which specifically includes: S301, initialize the parameters of the Kalman filter, including the initial state , initial covariance , measurement matrix , process noise covariance and the measurement noise covariance ; S302, inputting a measurement value; wherein the measurement value is a DC calibration value of the low noise amplifier LNA measured in the service gap according to step S105; S303, using the last DC estimation value and the state transfer matrix F to predict the current DC bias and covariance; wherein the DC bias is , is the process noise; the covariance is ; S304, update Kalman gain , update the covariance ; S305, correct the prediction result to obtain a corrected value , as the current DC residual value; S306 , executing in a loop to achieve real-time tracking of the DC bias of the low noise amplifier LNA.

[0011] The present invention also provides a DCOC calibration and tracking device, which is based on a radio frequency receiver, wherein the radio frequency receiver includes a low noise amplifier LNA, a mixer Mixer, a polyphase filter PPF and an analog-to-digital converter ADC connected in sequence; the device specifically includes: A 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 RF receiver is powered on or restarted; wherein the low noise amplifier LNA has a total of M gain gears, the polyphase filter PPF has a total of N gain gears, and the total gain combination is M×N; A second calibration module is used to re-calibrate all gain combinations of the low noise amplifier LNA and the polyphase filter PPF using a preset DC calibration method when the temperature sensor detects that the temperature change of the RF receiver is outside a set range; The tracking module is used to track the DC residual value of the low noise amplifier LNA by using a Kalman filter algorithm when the receiver is in an idle state or in a service transmission gap.

[0012] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0013] The present invention also provides a computer-readable storage medium on which a computer program is stored, and the computer program implements the steps of the above method when executed by a processor.

[0014] The beneficial effects of the present invention are: 1. The present invention performs DC calibration on a communication receiver, especially a zero intermediate frequency receiver with high DC bias (DC) requirements, to solve the problem that the DC of the receiver fluctuates greatly due to temperature and aging, thereby affecting signal quality.

[0015] 2. The result of a single calibration is affected by the environment and temperature and may have a large error. The result of the present invention after multiple calibrations and effective filtering is more accurate and reliable.

[0016] 3. The total time required for multiple calibrations of different gain combinations is long, and the DC will change with the influence of temperature and aging. The present invention performs multiple calibrations and filtering of a single combination for different gain combinations during the intervals of service transmission to achieve the purpose of real-time tracking calibration. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a structural schematic diagram of the radio frequency receiver in the present invention.

[0018] Figure 2 Schematic diagram of the DCOC calibration method of the present invention.

[0019] Figure 3 It is a schematic diagram of the flow chart of the DC calibration method preset in the present invention.

[0020] Figure 4 It is a schematic diagram of the structure of Kalman filtering in the present invention.

[0021] Figure 5 Schematic diagram of DC residual when no separate calibration is performed in the present invention.

[0022] Figure 6 Schematic diagram of DC residual after separate calibration in the present invention.

[0023] Figure 7 It is a schematic diagram of using Kalman filtering to perform DC residual tracking in the present invention.

[0024] Figure 8 FIG. 1 is a schematic diagram of a device structure according to an embodiment of the present invention.

[0025] Fig. 9 The figure is a schematic diagram of the internal structure of a computer device according to an embodiment of the present invention.

[0026] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0027] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0028] The present invention provides a DCOC calibration and tracking method based on a radio frequency 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 (low noise amplifier) ​​and the PPF (poly-phase filter), both the LNA and the PPF have multiple gain values ​​to choose from, and the DC residuals of different gains are different, and the size of the DC residual directly affects the receiving performance of the zero intermediate frequency receiver.

[0029] In response to the above problems, Figure 1 As shown, this method uses the following method to perform DCOC calibration: 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 gears, the polyphase filter PPF has a total of N gain gears, and the total gain combination is M×N; that is, DC calibration is performed on the I path and Q path of the combination of the LNA (low noise amplifier) ​​with a total of M gain gears and the PPF (polyphase filter) with N gain gears (a total of M×N combinations).

[0030] S2. When the temperature sensor detects that the temperature change of the RF receiver is outside the set range (-10°C~10°C), a preset DC calibration method is used to re-DC calibrate all gain combinations of the low noise amplifier LNA and the polyphase filter PPF; S3. In the idle state of the receiver (the receiver is not in a service data transmission state) or in a service transmission gap (a short interval during normal data transmission), a Kalman filter algorithm is used to track a DC residual value of the low noise amplifier LNA.

[0031] In one embodiment, Figure 3 As shown, in step S1 and step S2, the preset DC calibration method includes: S101, Order represents the gear position of the low noise amplifier LNA, and Indicates the gear position of the polyphase filter PPF.

[0032] The gear gain of the low noise amplifier LNA is expressed as , the gear gain of the polyphase filter PPF is expressed as ;in, and are respectively the lowest gain of the low noise amplifier LNA and the polyphase filter PPF, i.e., the first gain, and They are respectively the gear steps of the low noise amplifier LNA and the polyphase filter PPF.

[0033] S102, in the initial state of calibration, the gear positions of the low noise amplifier LNA and the polyphase filter PPF are fixed at the first gear, that is, ; S103, calibrating the polyphase filter PPF, that is, short-circuiting the input of the polyphase filter PPF by using an inductor grounding method (Short PPF's input), at this time only allowing DC signals to pass, so the average value of the ADC output signal at this time is used as the DC offset (DC bias) of the current gear of the polyphase filter PPF, which is divided into the DC offset of the in-phase component I path and the orthogonal component Q path.

[0034] S104 , after completing the DC calibration of the current polyphase filter PPF, using the current calibration value to compensate the signal before the analog-to-digital converter ADC, and opening the input of the polyphase filter PPF (Open PPF's input) means not performing inductive grounding.

[0035] S105, calibrating the low noise amplifier LNA, that is, short-circuiting the input of the low noise amplifier LNA by using an inductive grounding method (Short LNA's input), at this time only allowing DC signals to pass, and taking the average value of the ADC output signal at this time as the DC offset of the current gear of the low noise amplifier LNA, which is divided into the DC offset of the in-phase component I path and the orthogonal component Q path.

[0036] After completing the calibration of a set of low noise amplifier LNA and polyphase filter PPF gear combinations, the gear of the PPF is fixed, and different gears of the LNA are calibrated in turn. The specific traversal process is shown in steps S106-S110.

[0037] S106, determining whether the gear position of the low noise amplifier LNA is in the Mth gear; S107, if the gear position of the low noise amplifier LNA is not in the Mth gear, set , return to step S105; S108, if the gear position of the polyphase filter PPF is at the Mth gear, determining whether the gear position of the polyphase filter PPF is at the Nth gear; S109: If the gear position of the polyphase filter PPF is not in the Nth gear, , return to step S103; S110: If the gear position of the polyphase filter PPF is at the Nth gear position, the process ends.

[0038] In one embodiment, both temperature and aging have a significant impact on DC residual. The difference is that the impact of temperature changes on DC residual is relatively fast, and it is necessary to track and calibrate in time. The method adopted is that when the temperature sensor senses a certain change in temperature, such as the temperature change reaches ±10℃ (the standard for a certain change is that the temperature change exceeds 10℃. According to experience, the change in DC residual caused by the temperature change exceeding 10℃ will affect the performance of the receiver. When the temperature change reaches a certain level, it needs to be fully recalibrated because the DC residual changes quickly with temperature). Figure 3 The process recalibrates the DC of each low noise amplifier LNA and polyphase filter PPF gear combination. The effect of aging on DC residual is relatively slow and requires long-term tracking.

[0039] In the case of aging, the Kalman filter algorithm is used to track the DC residual. In the RF receiver, the gain step of the polyphase filter PPF is larger than the gain step of the low noise amplifier LNA. The DC residual value is positively correlated with the gain, so the main source of DC is the LNA, and only the DC residual value of the LNA needs to be tracked. Since the performance of the receiver is mainly reflected in the performance at high gain, when using the Kalman filter to track the DC residual of the low noise amplifier LNA, the gear of the polyphase filter PPF is fixed at the highest gain, that is, File. Figure 4 This is the structure diagram of the Kalman filter. Each gear of the polyphase filter PPF is tracked independently, that is, each gear has a set of Kalman filters. The processing flow of DC bias tracking for a single PPF gear is as follows: S301, initialize the parameters of the Kalman filter, including the initial state , initial covariance , measurement matrix , process noise covariance and the measurement noise covariance ; S302, inputting a measurement value; wherein the measurement value is a DC calibration value of the low noise amplifier LNA measured in the service gap according to step S105; S303, using the last DC estimation value and the state transfer matrix F to predict the current DC bias and covariance; wherein the DC bias is , is the process noise; the covariance is ; S304, update Kalman gain , update the covariance ; S305: Correct the prediction result to obtain a corrected value , as the current DC residual value; S306 , executing in a loop to achieve real-time tracking of the DC bias of the low noise amplifier LNA.

[0040] As mentioned above, in order to solve the aging problem, the different gain levels of the LNA are calibrated in the idle state (Idle State) and the transmission gap (TG) of the RF receiver, and the calibration value is input into an independent Kalman filter to output the correction value under the corresponding gain as the current estimate. Through a limited number of measurements, the DC residual value is continuously tracked. The receiver is always kept with a small DC residual at different gains to ensure the performance of the receiver.

[0041] The present invention performs DC residual calibration for different gain combinations, which can ensure the receiver performance under different receiving gains. Figure 5 As shown in the figure, the DC residual can reach tens of mV without separate calibration; see Figure 6 As shown in Figure 3, the DC residual is almost zero after calibration alone.

[0042] See Figure 7 It is shown in the figure that the present invention uses Kalman filtering to track DC residuals, achieving the purpose of fast convergence without requiring too much storage space.

[0043] The present invention also provides a DCOC calibration and tracking device, which is based on a radio frequency receiver, wherein the radio frequency receiver includes a low noise amplifier LNA, a mixer Mixer, a polyphase filter PPF and an analog-to-digital converter ADC connected in sequence; the device specifically includes: A 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 RF receiver is powered on or restarted; wherein the low noise amplifier LNA has a total of M gain gears, the polyphase filter PPF has a total of N gain gears, and the total gain combination is M×N; A second calibration module is used to re-calibrate all gain combinations of the low noise amplifier LNA and the polyphase filter PPF using a preset DC calibration method when the temperature sensor detects that the temperature change of the RF receiver is outside a set range; The tracking module is used to track the DC residual value of the low noise amplifier LNA by using a Kalman filter algorithm when the receiver is in an idle state or in a service transmission gap.

[0044] The above modules are used to execute the corresponding steps in the above DCOC calibration and tracking method. The specific implementation method thereof is described in the above method embodiment and will not be described in detail here.

[0045] like Figure 8As shown, the present invention also provides a computer device, which can be a server, and its internal structure can be as shown in Figure 8 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store all data required for the process of the DCOC calibration and tracking method. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the DCOC calibration and tracking method is implemented.

[0046] Those skilled in the art will understand that Figure 8 The structure shown in is merely a block diagram of a portion of the structure related to the present application solution and does not constitute a limitation on the computer device to which the present application solution is applied.

[0047] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, any one of the above-mentioned DCOC calibration and tracking methods is implemented.

[0048] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0049] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0050] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A DCOC calibration and tracking method, characterized in that: Based on a radio frequency receiver, the radio frequency receiver includes a low noise amplifier LNA, a mixer Mixer, a polyphase filter PPF and an analog-to-digital converter ADC connected in sequence; the method specifically includes: 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 gears, the polyphase filter PPF has a total of N gain gears, and the total gain combination is M×N; S2. When the temperature sensor detects that the temperature change of the RF receiver is outside a set range, a preset DC calibration method is used to re-DC calibrate all gain combinations of the low noise amplifier LNA and the polyphase filter PPF; S3. In an idle state of the receiver or in a service transmission gap, a Kalman filter algorithm is used to track a DC residual value of the low noise amplifier LNA.

2. The DCOC calibration and tracking method according to claim 1, characterized in that: In step S1 and step S2, the preset DC calibration method includes: S101, Order represents the gear position of the low noise amplifier LNA, and Indicates the gear position of the polyphase filter PPF; S102, fixing the gear positions of the low noise amplifier LNA and the polyphase filter PPF at the first gear, that is, ; S103, calibrating the polyphase filter PPF, i.e., short-circuiting the input of the polyphase filter PPF by using an inductor grounding method, so that only a DC signal is allowed to pass through, and taking the mean value of the ADC output signal at this time as the DC offset of the current gear of the polyphase filter PPF, i.e., the DC bias; S104, using the current calibration value to compensate the signal before the analog-to-digital converter ADC, and opening the input of the polyphase filter PPF; S105, calibrating the low noise amplifier LNA, i.e., short-circuiting the input of the low noise amplifier LNA by using an inductor grounding method, so that only a DC signal is allowed to pass through, and taking the average value of the ADC output signal at this time as the DC offset of the current gear of the low noise amplifier LNA, i.e., the DC bias; S106, determining whether the gear position of the low noise amplifier LNA is in the Mth gear; S107, if the gear position of the low noise amplifier LNA is not in the Mth gear, set , return to step S105; S108, if the gear position of the polyphase filter PPF is at the Mth gear, determining whether the gear position of the polyphase filter PPF is at the Nth gear; S109: If the gear position of the polyphase filter PPF is not in the Nth gear, , return to step S103; S110: If the gear position of the polyphase filter PPF is at the Nth gear position, the process ends.

3. The DCOC calibration and tracking method according to claim 2, characterized in that: In the step S103, the DC offset of the gear of the polyphase filter PPF includes the DC offset of the in-phase component I and the orthogonal component Q.

4. The DCOC calibration and tracking method according to claim 2, characterized in that: The gear gain of the low noise amplifier LNA is expressed as , the gear gain of the polyphase filter PPF is expressed as ;in, and are respectively the lowest gain of the low noise amplifier LNA and the polyphase filter PPF, i.e., the first gain, and They are respectively the gear steps of the low noise amplifier LNA and the polyphase filter PPF.

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

6. The DCOC calibration and tracking method according to claim 2, characterized in that: In step S3, when the DC residual value of the low noise amplifier LNA is tracked by using the Kalman filter algorithm, the gear of the polyphase filter PPF is fixed at the highest gain gear, that is, Each gear of the low noise amplifier LNA is tracked independently, that is, each gear of the low noise amplifier LNA adopts a set of Kalman filtering algorithms.

7. The DCOC calibration and tracking method according to claim 6, characterized in that: In step S3, the DC residual value of a single low noise amplifier LNA gear is tracked using a Kalman filter algorithm, specifically including: S301, initialize the parameters of the Kalman filter, including the initial state , initial covariance , measurement matrix , process noise covariance and the measurement noise covariance ; S302, inputting a measurement value; wherein the measurement value is a DC calibration value of the low noise amplifier LNA measured in the service gap according to step S105; S303, using the last DC estimation value and the state transfer matrix F to predict the current DC bias and covariance; wherein the DC bias is , is the process noise; the covariance is ; S304, update Kalman gain , update the covariance ; S305: Correct the prediction result to obtain a corrected value , as the current DC residual value; S306 , executing in a loop to achieve real-time tracking of the DC bias of the low noise amplifier LNA.

8. A DCOC calibration and tracking device, characterized in that: Based on a radio frequency receiver, the radio frequency receiver includes a low noise amplifier LNA, a mixer Mixer, a polyphase filter PPF and an analog-to-digital converter ADC connected in sequence; the device specifically includes: A 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 RF receiver is powered on or restarted; wherein the low noise amplifier LNA has a total of M gain gears, the polyphase filter PPF has a total of N gain gears, and the total gain combination is M×N; A second calibration module is used to re-calibrate all gain combinations of the low noise amplifier LNA and the polyphase filter PPF using a preset DC calibration method when the temperature sensor detects that the temperature change of the RF receiver is outside a set range; The tracking module is used to track the DC residual value of the low noise amplifier LNA by using a Kalman filter algorithm when the receiver is in an idle state or in a service transmission gap.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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