A method and system for real-time detection of equipment isolation using ICS (Integrated Circuits)

Abstract

This application discloses a method and system for real-time detection of device isolation using the ICS method, belonging to the field of radio frequency signal processing and interference cancellation technology. The method includes: receiving a radio frequency signal via a signal receiving antenna, the radio frequency signal including a coupling signal and an interference signal; converting the radio frequency signal to obtain a digital received signal; generating a cancellation signal with the opposite amplitude and phase to the coupling signal using an adaptive filtering algorithm based on the digital baseband reference signal to be transmitted, and optimizing the cancellation signal using the digital received signal; converting the digital baseband reference signal to obtain a transmitted signal; transmitting the transmitted signal via a signal transmitting antenna; calculating the device isolation based on the power of the transmitted signal, the total gain of the device receiving channel, and the power of the cancellation signal; improving detection accuracy through ICS interference cancellation and dynamic compensation, and ensuring stable operation even in electromagnetic interference environments; enabling real-time detection of device isolation with high efficiency and low cost.

Description

Technical Field

[0001] This application belongs to the field of radio frequency signal processing and interference cancellation technology, and specifically relates to a method and system for real-time detection of device isolation using the ICS method. Background Technology

[0002] ICS wireless digital equipment employs digital processing technology to automatically detect the transmission characteristics of leaky channel loops. It constructs a mirror signal internally that is identical to the interference input through the leaky channel. By subtracting the mirror signal from the input signal, interference cancellation is achieved, improving system gain and reducing the equipment's isolation requirements. Equipment isolation (the ability to suppress signal coupling between the transmitter and receiver) is a core indicator for ensuring equipment performance: insufficient isolation can cause the transmitter signal to couple to the receiver, leading to decreased receiver sensitivity, increased data transmission error rate, and even equipment failure. Current equipment isolation detection mainly relies on two methods: 1. Direct Measurement Method: This method uses high-precision instruments such as spectrum analyzers and signal generators to directly measure the coupling signal strength between the transmitter and receiver, and then calculates the isolation using the formula "Isolation = Reference Signal Power - Coupled Signal Power". This method requires specialized testing instruments, such as spectrum analyzers and signal transmitters, which are expensive, poorly portable, and susceptible to measurement accuracy from environmental electromagnetic interference and temperature changes. Furthermore, it cannot detect the isolation of the equipment in real time.

[0003] 2. Indirect Coupling Method: This method establishes a fixed test link using devices such as couplers and attenuators, assuming a constant coupling coefficient, and estimates the isolation. This method ignores environmental factors, such as humidity-induced changes in the coupling coefficient and cross-interference from multiple devices. Its accuracy is often poor, exceeding 10dB, and it is only suitable for ideal laboratory scenarios, failing to meet the needs of on-site maintenance.

[0004] With the development of 5G and IoT technologies, equipment deployment scenarios are becoming more complex, such as multiple base stations coexisting in data centers and outdoor non-line-of-sight environments. The problems of existing methods being "high cost, low accuracy, and weak adaptability" are becoming increasingly prominent. Summary of the Invention

[0005] To address the issues of high cost, high susceptibility to environmental interference to accuracy, and inability to detect isolation in real time, this application provides a method for real-time detection of device isolation using the ICS method, comprising: Radio frequency signals are received via a signal receiving antenna, the radio frequency signals including coupling signals and interference signals; The radio frequency signal is converted into a digital received signal; An adaptive filtering algorithm is used to generate a cancellation signal with the opposite amplitude and phase to the coupling signal based on the digital baseband reference signal to be transmitted, and the cancellation signal is optimized using the digital received signal. The digital baseband reference signal is converted to obtain the transmitted signal; The signal is transmitted via a signal transmitting antenna; The isolation of the device is calculated based on the power of the transmitted signal, the total gain of the device's receiving channel, and the power of the canceled signal.

[0006] Optionally, the digital baseband reference signal to be transmitted is used to generate a cancellation signal with opposite amplitude and phase to the coupling signal using an adaptive filtering algorithm, including: The input vector, composed of the digital baseband reference signal, is input into an adaptive filter to generate a cancellation signal. The adaptive filter uses the tap weight vector as the filter coefficients, and the cancellation signal is the product of the input vector and the conjugate transpose of the tap weight vector.

[0007] Optionally, optimizing the cancellation signal using the digital received signal includes: The error signal is obtained by subtracting the cancellation signal from the digital received signal. An adaptive filtering algorithm is used to continuously update the filter coefficients according to the magnitude and direction of the error signal, so that the cancellation signal approximates the coupling signal in the sense of minimum mean square error.

[0008] Optionally, the formula for calculating the device isolation degree is:

[0009] in, Indicates the isolation degree of the equipment. Indicates the power of the transmitted signal. This indicates the total gain of the device's receiving channel. This indicates the power of the canceled signal.

[0010] Optionally, the power of the transmitted signal can be obtained by adding the average power of the digital baseband reference signal and the total gain of the device's transmission channel, or by real-time monitoring through a power detection circuit.

[0011] Optionally, the conversion of the radio frequency signal to obtain a digital received signal includes: The radio frequency signal is amplified with low noise by a low noise amplifier, and then mixed with the local oscillator signal for down-conversion to obtain an analog intermediate frequency signal. The analog intermediate frequency signal is converted into a digital receive signal using an analog-to-digital converter. Optionally, converting the digital baseband reference signal to obtain the transmitted signal includes: The digital baseband reference signal is converted into an analog signal using a digital-to-analog converter; The analog signal is up-converted and amplified to obtain the transmitted signal.

[0012] Based on the same inventive concept, this application also provides a system for real-time detection of device isolation using the ICS method, comprising: A receiving unit is used to receive radio frequency signals via a signal receiving antenna, the radio frequency signals including coupling signals and interference signals; The receiving and processing unit is used to convert radio frequency signals into digital received signals; The ICS processing unit is used to generate a cancellation signal with the opposite amplitude and phase to the coupling signal based on the digital baseband reference signal to be transmitted using an adaptive filtering algorithm, and to optimize the cancellation signal using the digital received signal. The transmission processing unit is used to convert the digital baseband reference signal into a transmission signal; The transmitting unit is used to transmit signals via a signal transmitting antenna; The isolation calculation unit is used to calculate the device isolation based on the power of the transmitted signal, the total gain of the device's receiving channel, and the power of the canceled signal.

[0013] Optionally, the digital baseband reference signal to be transmitted is used to generate a cancellation signal with opposite amplitude and phase to the coupling signal using an adaptive filtering algorithm, including: The input vector, composed of the digital baseband reference signal, is input into an adaptive filter to generate a cancellation signal. The adaptive filter uses the tap weight vector as the filter coefficients, and the cancellation signal is the product of the input vector and the conjugate transpose of the tap weight vector.

[0014] Optionally, optimizing the cancellation signal using the digital received signal includes: The error signal is obtained by subtracting the cancellation signal from the digital received signal. An adaptive filtering algorithm is used to continuously update the filter coefficients according to the magnitude and direction of the error signal, so that the cancellation signal approximates the coupling signal in the sense of minimum mean square error.

[0015] Optionally, the formula for calculating the device isolation degree is:

[0016] in, Indicates the isolation degree of the equipment. Indicates the power of the transmitted signal. This indicates the total gain of the device's receiving channel. This indicates the power of the canceled signal.

[0017] Optionally, the power of the transmitted signal can be obtained by adding the average power of the digital baseband reference signal and the total gain of the device's transmission channel, or by real-time monitoring through a power detection circuit.

[0018] Optionally, the conversion of the radio frequency signal to obtain a digital received signal includes: The radio frequency signal is amplified with low noise by a low noise amplifier, and then mixed with the local oscillator signal for down-conversion to obtain an analog intermediate frequency signal. The analog intermediate frequency signal is converted into a digital receive signal using an analog-to-digital converter. Optionally, converting the digital baseband reference signal to obtain the transmitted signal includes: The digital baseband reference signal is converted into an analog signal using a digital-to-analog converter; The analog signal is up-converted and amplified to obtain the transmitted signal.

[0019] Furthermore, this application also provides a computing device, comprising: at least one processor and a memory; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, a method for real-time detection of device isolation using the ICS method as described above is implemented.

[0020] In another aspect, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements a method for real-time detection of device isolation using the ICS method as described above.

[0021] Compared with the prior art, this application has the following advantages: This application provides a method and system for real-time detection of device isolation using the ICS method, comprising: receiving a radio frequency (RF) signal via a signal receiving antenna, the RF signal including a coupling signal and an interference signal; converting the RF signal to obtain a digital received signal; generating a cancellation signal with the opposite amplitude and phase to the coupling signal using an adaptive filtering algorithm based on a digital baseband reference signal to be transmitted, and optimizing the cancellation signal using the digital received signal; converting the digital baseband reference signal to obtain a transmitted signal; transmitting the transmitted signal via a signal transmitting antenna; and calculating the device isolation based on the power of the transmitted signal, the total gain of the device receiving channel, and the power of the cancellation signal.

[0022] No external testing instruments, such as spectrum analyzers and signal generators, are required, nor is a built-in test frequency source necessary, resulting in low cost. Through ICS interference cancellation and dynamic compensation, the detection accuracy is improved, and it can work stably in electromagnetic interference environments. Device isolation can be detected in real time with high efficiency, requiring no professional personnel and lowering the barrier to operation and maintenance.

[0023] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This application provides a schematic flowchart of a method for real-time detection of device isolation using the ICS method. Figure 2 This application provides a system block diagram for real-time detection of device isolation using the ICS method. Figure 3 A block diagram of the receiving and processing unit provided in this application is shown; Figure 4 A block diagram of the ICS processing unit provided in this application is shown; Figure 5 A block diagram of the emission processing unit provided in this application is shown. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] Example 1 This application provides a method for real-time detection of device isolation using the ICS method, such as... Figure 1 ,include: The system receives radio frequency signals emitted by a wireless base station via a signal receiving antenna. The radio frequency signals include coupling signals and interference signals. The radio frequency signal is converted into a digital received signal; An adaptive filtering algorithm is used to generate a cancellation signal with the opposite amplitude and phase to the coupling signal based on the digital baseband reference signal to be transmitted, and the cancellation signal is optimized using the digital received signal. The digital baseband reference signal is converted to obtain the transmitted signal; The signal is transmitted via a signal transmitting antenna; The isolation of the device is calculated based on the power of the transmitted signal, the total gain of the device's receiving channel, and the power of the canceled signal.

[0028] Step 1: Receive radio frequency signals emitted by wireless base stations, such as 2.6G radio frequency signals emitted by NR base stations, through the signal receiving antenna; Radio frequency signals captured by the receiving antenna It contains two main components:

[0029] in, This refers to the portion of the signal emitted by the device itself that leaks back through the spatial coupling path, i.e., the coupled signal. This indicates the external environmental interference signal received at the receiving antenna, i.e., the interference signal. and All of these are the instantaneous values ​​of the signal at time t.

[0030] If the transmitted signal is Then the coupling signal , This represents the coupling path delay, where L represents the linear attenuation coefficient. In this embodiment, it is... , This indicates the device isolation from the transmitting antenna port to the receiving antenna port. This indicates the transmitted signal after a time delay.

[0031] Step 2: Convert the radio frequency signal to obtain the digital received signal. The radio frequency signal received by the signal receiving antenna is amplified with low noise using a low-noise amplifier, and then down-converted by mixing it with the local oscillator signal to obtain an analog intermediate frequency or baseband signal. :

[0032] in, Represents the low-noise amplifier function. This represents the local oscillator frequency, and j represents the imaginary unit.

[0033] The analog intermediate frequency or baseband signal is converted into a digital received signal using an A / D converter. :

[0034] in, This represents the linear gain of the receiving channel. , This indicates the total gain of the device's receiving channel (including low-noise amplification, down-conversion, and A / D conversion). and These represent the quantization values ​​of the spatial coupling path leakage signal and the environmental noise signal, respectively. This represents quantization noise, and n represents the discrete-time index (time sequence number).

[0035] Step 3: Based on the digital baseband reference signal to be transmitted, an adaptive filtering algorithm is used to generate a cancellation signal with opposite amplitude and phase to the coupling signal, and the cancellation signal is optimized using the digital received signal. The digital received signal and the digital baseband reference signal to be transmitted The digital baseband reference signal is buffered using RAM, and the final transmitted signal is... It has a definite linear relationship; The buffered signal is forwarded, and a cancellation signal is generated based on the digital baseband reference signal. The core of the ICS is an adaptive filter (such as using the LMS algorithm), whose filter coefficients (tap weight vectors) are: It is with The input is used to generate a coupled signal component. The formula for calculating the cancellation signal for signals with opposite amplitudes and phases is:

[0036] in, Indicates cancellation signal, This represents the conjugate transpose of the tap weight vector. yes The constructed input vector (i.e. It refers to the current time n and the M-1 time steps before that. The sampled values ​​are arranged in order, where M is the length of the filter (number of taps). The cancellation signal is subtracted from the digital received signal to obtain the error signal. According to the LMS algorithm Size and orientation are continuously updated ,drive In the sense of minimum mean square error, it gradually approximates and ultimately best matches the digital received signal. The coupled signal components contained therein, generated by the device itself (i.e. ); The updated formula is:

[0037] in, express, Indicates the step size factor. express The complex conjugate; When the LMS algorithm converges to a steady state, the error signal The power reaches its minimum at this time. It best approximates the coupling component in the received signal under the condition of minimum mean square error. ,Right now:

[0038] This is considered a high-precision estimate of purely coupled signal components, while environmental interference... It is then suppressed to the maximum extent in the error signal.

[0039] Step 4: Convert the digital baseband reference signal to obtain the transmitted signal. The digital baseband reference signal is converted into an analog signal using a D / A (digital-to-analog) converter; The analog signal is up-converted and amplified to obtain the transmitted signal. :

[0040] in, , representing the linear gain of the transmit channel. Indicates the local oscillator signal. This refers to extracting the real part of a complex signal to obtain a real radio frequency signal that can actually be transmitted, and the transmitted signal power at the transmitting antenna port. for: , This indicates the power of the digital baseband reference signal. This indicates the total gain of the device's transmission channel (including D / A conversion, up-conversion, and power amplification).

[0041] Step 5: Transmit the signal through the signal transmitting antenna. The signal transmitting antenna transmits the signal and simultaneously detects the power of the transmitted signal; Known gain of the transmit channel and digital baseband reference signal power It can be obtained through direct calculation or through real-time monitoring via a built-in power detection circuit (such as a directional coupler + detector).

[0042] Step Six: Calculate the device isolation based on the average power of the digital baseband reference signal, the total gain of the device's transmit channel, the total gain of the device's receive channel, and the power of the canceled signal. The convergence results show that the cancellation signal power Approximately equal to the coupled signal power at the output of the receiving channel:

[0043] in, This indicates the power of the coupled signal at the output of the receiving channel. Indicates the isolation degree of the equipment. This indicates the total gain of the device's receiving channel (including low-noise amplification, down-conversion, and A / D conversion); Therefore, the formula for calculating the equipment isolation degree is:

[0044]

[0045] in, After the ICS algorithm converges, the generated cancellation signal is directly processed. Power calculations yielded the following results:

[0046] Where N represents the number of sampling points, and k represents the index of the sampling point, from k to N, This represents the canceled signal value generated at the k-th sampling point after the ICS algorithm converges.

[0047] Example 2 Based on the same inventive concept, this application also provides a system for real-time detection of device isolation using the ICS method, comprising: A receiving unit is used to receive radio frequency signals via a signal receiving antenna, the radio frequency signals including coupling signals and interference signals; The receiving and processing unit is used to convert radio frequency signals into digital received signals; The ICS processing unit is used to generate a cancellation signal with the opposite amplitude and phase to the coupling signal based on the digital baseband reference signal to be transmitted using an adaptive filtering algorithm, and to optimize the cancellation signal using the digital received signal. The transmission processing unit is used to convert the digital baseband reference signal into a transmission signal; The transmitting unit is used to transmit signals via a signal transmitting antenna; The isolation calculation unit is used to calculate the device isolation based on the power of the transmitted signal, the total gain of the device's receiving channel, and the power of the canceled signal.

[0048] The system block diagram of this embodiment is as follows: Figure 2The receiving unit (signal receiving antenna) receives radio frequency signals. The receiving processing unit performs low-noise amplification, filtering, and analog-to-digital conversion on the received radio frequency signals. The ICS processing unit performs digitization processing on the received digital signals, including storage, transmission signal generation, interference signal cancellation, and isolation calculation. The transmitting processing unit performs digital-to-analog conversion on the digital baseband reference signal to convert it into a transmission signal, and then performs filtering and amplification. The transmitting unit (signal transmitting antenna) then transmits the transmission signal.

[0049] Specifically, the block diagram of the receiving and processing unit is as follows: Figure 3 The system filters the image signal of the radio frequency signal, amplifies the received radio frequency signal with low noise by a low-noise amplifier, mixes the received radio frequency signal with the local oscillator signal by a mixer to output an intermediate frequency signal, filters the signal to remove spurious signals generated by mixing, and samples the intermediate frequency signal by an A / D converter to convert it into a digital received signal.

[0050] Specifically, the block diagram of the ICS processing unit is as follows: Figure 4 The input digital baseband reference signal is stored in RAM. The cancellation module and the tracking module work together to cancel the interference of the input signal and output the canceled useful signal. The gain adjustment module adjusts the gain of the signal, amplifies or attenuates it, and the delay adjustment module adjusts the delay of the signal before outputting it.

[0051] Specifically, the block diagram of the transmission processing unit is as follows: Figure 5 The digital baseband reference signal is converted into an analog signal by a D / A converter, the analog signal is filtered by a filter, the signal is mixed with the local oscillator signal by a mixer, up-converted to an RF signal, the RF signal is filtered out by a filter, the RF signal is amplified by a power amplifier, and the transmitted signal is output.

[0052] Example 3 Based on the same inventive concept, this application also provides an electronic device. The electronic device of this application includes at least one processor and at least one storage medium electrically connected to the processor. The storage medium is electrically connected to the processor, wherein the storage medium stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method described above.

[0053] Example 4 Based on the same inventive concept, this application also provides a storage medium storing instructions executable by at least one processor, the instructions being executed by at least one processor to enable at least one processor to perform the method described above.

[0054] Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for real-time detection of equipment isolation using the ICS method, characterized in that, include: Radio frequency signals are received via a signal receiving antenna, the radio frequency signals including coupling signals and interference signals; The radio frequency signal is converted into a digital received signal; An adaptive filtering algorithm is used to generate a cancellation signal with the opposite amplitude and phase to the coupling signal based on the digital baseband reference signal to be transmitted, and the cancellation signal is optimized using the digital received signal. The digital baseband reference signal is converted to obtain the transmitted signal; The signal is transmitted via a signal transmitting antenna; The isolation of the device is calculated based on the power of the transmitted signal, the total gain of the device's receiving channel, and the power of the canceled signal.

2. The method according to claim 1, characterized in that, The digital baseband reference signal to be transmitted is used to generate a cancellation signal with opposite amplitude and phase to the coupling signal using an adaptive filtering algorithm, including: The input vector, composed of the digital baseband reference signal, is input into an adaptive filter to generate a cancellation signal. The adaptive filter uses the tap weight vector as the filter coefficients, and the cancellation signal is the product of the input vector and the conjugate transpose of the tap weight vector.

3. The method according to claim 2, characterized in that, The optimization of the cancellation signal using the digital received signal includes: The error signal is obtained by subtracting the cancellation signal from the digital received signal. An adaptive filtering algorithm is used to continuously update the filter coefficients according to the magnitude and direction of the error signal, so that the cancellation signal approximates the coupling signal in the sense of minimum mean square error.

4. The method according to claim 1, characterized in that, The formula for calculating the device isolation degree is: in, Indicates the isolation degree of the equipment. Indicates the power of the transmitted signal. This indicates the total gain of the device's receiving channel. This indicates the power of the canceled signal.

5. The method according to claim 4, characterized in that, The power of the transmitted signal is obtained by adding the average power of the digital baseband reference signal and the total gain of the device's transmission channel, or by real-time monitoring through a power detection circuit.

6. The method according to claim 1, characterized in that, The conversion of the radio frequency signal to obtain the digital received signal includes: The radio frequency signal is amplified with low noise by a low noise amplifier, and then mixed with the local oscillator signal for down-conversion to obtain an analog intermediate frequency signal. The analog intermediate frequency signal is converted into a digital received signal using an analog-to-digital converter.

7. The method according to claim 1, characterized in that, The step of converting the digital baseband reference signal to obtain the transmitted signal includes: The digital baseband reference signal is converted into an analog signal using a digital-to-analog converter; The analog signal is up-converted and amplified to obtain the transmitted signal.

8. A system for real-time detection of equipment isolation using the ICS method, characterized in that, include: A receiving unit is used to receive radio frequency signals via a signal receiving antenna, the radio frequency signals including coupling signals and interference signals; The receiving and processing unit is used to convert radio frequency signals into digital received signals; The ICS processing unit is used to generate a cancellation signal with the opposite amplitude and phase to the coupling signal based on the digital baseband reference signal to be transmitted using an adaptive filtering algorithm, and to optimize the cancellation signal using the digital received signal. The transmission processing unit is used to convert the digital baseband reference signal into a transmission signal; The transmitting unit is used to transmit signals via a signal transmitting antenna; The isolation calculation unit is used to calculate the device isolation based on the power of the transmitted signal, the total gain of the device's receiving channel, and the power of the canceled signal.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method for real-time detection of device isolation using the ICS method as described in any one of claims 1-7.

10. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements the steps of the method for real-time detection of device isolation using the ICS method as described in any one of claims 1-7.

Images