Optimization method of fiber-optic gyroscope detection circuit power supply network

Abstract

The invention discloses an optimization method of a fiber-optic gyroscope detection circuit power supply network. The fiber-optic gyroscope detection circuit comprises a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module and a power supply network, wherein the power supply network comprises a secondary power supply, a plurality of filter networks and at least one level conversion circuit module; the method comprises the following steps: determining a modulation circuit module and a digital closed-loop circuit module as interference devices, and determining a weak signal detection circuit module as an interfered device; determining a plurality of crosstalk paths by taking each interference device as a starting point and the interfered device as an end point; for each crosstalk path, acquiring the output signal strength of each filter network and / or level conversion module in the crosstalk path under the eigenfrequency of the optical fiber gyroscope; calculating the filtering level based on the output signal intensity and the input signal intensity of each filtering network and / or level conversion module; and determining whether to optimize the corresponding filtering network and / or the level conversion module based on the calculated filtering level. The power supply network can be optimized, the power supply interference is reduced, and the detection precision of the optical fiber gyroscope is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fiber optic gyroscopes, and in particular to a method for optimizing a power supply network of a fiber optic gyroscope detection circuit. Background Art

[0002] Fiber optic gyros (FOGs), angular velocity sensors based on the Sagnac effect, are widely used in inertial measurement due to their high sensitivity and wide dynamic range. As extremely precise measuring instruments, FOGs, such as the ultra-high-precision 0.0005° / h FOG, rely on relevant detection principles to detect weak signals down to the nanovolt level. However, they are also highly sensitive to certain interference signals. A key cause of FOGs' "dead zones, excessive thresholds," "large zero offset," and "poor power-on repeatability" is crosstalk between signals of the same frequency. As typical hybrid digital-analog circuits, FOGs inherently exhibit complex electromagnetic interference. As FOGs evolve toward integrated component circuits, electromagnetic interference, particularly power supply interference, is becoming increasingly prominent, becoming a key issue limiting FOGs' low-speed sensitivity.

[0003] Therefore, there is an urgent need for an optimization method for the power supply network of the fiber optic gyroscope detection circuit to reduce power supply interference. Summary of the Invention

[0004] The present invention provides a method for optimizing the power supply network of a fiber optic gyroscope detection circuit, which can optimize the power supply network, reduce power supply interference, and improve the detection accuracy of the fiber optic gyroscope. The technical solution is as follows:

[0005] In one aspect, a method for optimizing a power supply network for a fiber optic gyroscope detection circuit is provided. The fiber optic gyroscope detection circuit includes a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module, and the power supply network. The power supply network includes a secondary power supply, multiple filter networks, and at least one level conversion circuit module. The method includes:

[0006] Determining that the modulation circuit module and the digital closed-loop circuit module are interfering devices, and the weak signal detection circuit module is an interfered device;

[0007] Determine multiple crosstalk paths with each interfering device as a starting point and the interfered device as an end point; each crosstalk path includes at least one filtering network and / or level conversion module;

[0008] For each crosstalk path, the output signal strength of each filter network and / or level conversion module in the crosstalk path at the eigenfrequency of the fiber optic gyroscope is obtained;

[0009] Calculating the filtering level of each filtering network and / or level conversion module based on the output signal strength and input signal strength;

[0010] Based on the calculated filtering level, it is determined whether to optimize the corresponding filtering network and / or level conversion module.

[0011] In another aspect, a device for optimizing a power supply network for a fiber optic gyroscope detection circuit is provided. The fiber optic gyroscope detection circuit includes a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module, and the power supply network. The power supply network includes a secondary power supply, multiple filter networks, and at least one level conversion circuit module. The device includes:

[0012] A first determining unit is configured to determine that the modulation circuit module and the digital closed-loop circuit module are interference devices, and the weak signal detection circuit module is an interfered device;

[0013] A second determining unit is configured to determine a plurality of crosstalk paths, each of which takes each interfering device as a starting point and the interfered device as an end point; each of the crosstalk paths includes at least one filtering network and / or a level conversion module;

[0014] An acquisition unit, configured to acquire, for each crosstalk path, the output signal strength of each filter network and / or level conversion module in the crosstalk path at the eigenfrequency of the fiber optic gyroscope;

[0015] a calculation unit, configured to calculate a filtering level of each filtering network and / or level conversion module based on the output signal strength and input signal strength thereof;

[0016] The optimization unit is configured to determine whether to optimize the corresponding filter network and / or level conversion module based on the calculated filtering level.

[0017] On the other hand, a computer device is provided, which includes a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the steps of the above-mentioned method for optimizing the power supply network of the fiber optic gyroscope detection circuit.

[0018] On the other hand, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the power supply network of the fiber optic gyroscope detection circuit are implemented.

[0019] On the other hand, a computer program product is provided, comprising a computer program, which implements the steps of the above-mentioned method for optimizing the power supply network of the fiber optic gyroscope detection circuit when executed by a processor.

[0020] An embodiment of the present invention provides a method for optimizing the power supply network of a fiber optic gyroscope detection circuit. First, the crosstalk path in the power supply network is determined based on the interference mechanism. Then, the interference components of the filter network and the level conversion module in the crosstalk path are measured, and based on the measurement results, an innovative quantitative analysis method for the filtering level is proposed to determine whether the filtering level of the filter network and the level conversion module meets the filtering requirements according to the quantification results, so as to optimize the parameters of the filter network and the level conversion module according to the analysis results or replace devices with other parameters to reduce their own electromagnetic interference. It can be seen that the present application can optimize the power supply network, reduce power supply interference, and improve the detection accuracy of the fiber optic gyroscope. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 This is a flow chart of a method for optimizing a power supply network for a fiber optic gyroscope detection circuit provided by one embodiment of the present invention;

[0023] Figure 2 This is a structural diagram of an optimization device for a power supply network of a fiber optic gyroscope detection circuit provided by one embodiment of the present invention;

[0024] Figure 3 This is a hardware architecture diagram of a computer device provided by one embodiment of the present invention;

[0025] Figure 4 1 is a system schematic diagram of a fiber optic gyroscope detection circuit provided by one embodiment of the present invention;

[0026] Figure 5 This is a basic principle block diagram of a fiber optic gyroscope provided by one embodiment of the present invention;

[0027] Figure 6 1 is a system schematic diagram of a fiber optic gyroscope detection circuit in a specific embodiment provided by one embodiment of the present invention;

[0028] Figure 7 This application method is used to Figure 6 The spectrum analysis diagram obtained by measuring the filter network 1 in FIG;

[0029] Figure 8 This application method is used to Figure 6 The spectrum analysis diagram obtained by measuring the filter network 2 in the filter network;

[0030] Figure 9This application method is used to Figure 6 The spectrum analysis diagram obtained by measuring the level conversion module A in the figure;

[0031] Figure 10 This application method is used to Figure 6 Spectrum analysis diagram obtained by measuring the level conversion module B in . DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] The specific implementation of the method of this application is described in detail below.

[0034] Please refer to Figure 1 An embodiment of the present invention provides a method for optimizing a power supply network for a fiber optic gyroscope detection circuit. The fiber optic gyroscope detection circuit includes a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module, and a power supply network. The power supply network includes a secondary power supply, multiple filter networks, and at least one level conversion circuit module. The method includes:

[0035] Step 100: Determine that the modulation circuit module and the digital closed-loop circuit module are interference devices, and the weak signal detection circuit module is the interfered device;

[0036] Step 102: determining a plurality of crosstalk paths with each interfering device as a starting point and the interfered device as an end point; each crosstalk path includes at least one filter network and / or level conversion module;

[0037] Step 104: for each crosstalk path, obtain the output signal strength of each filter network and / or level conversion module in the crosstalk path at the eigenfrequency of the fiber optic gyroscope;

[0038] Step 106, calculating the filtering level of each filtering network and / or level conversion module based on the output signal strength and input signal strength;

[0039] Step 108 : Determine whether to optimize the corresponding filter network and / or level conversion module based on the calculated filtering level.

[0040] In this embodiment, the crosstalk path in the power supply network is first determined based on the interference mechanism. Then, the interference components of the filter network and the level conversion module in the crosstalk path are measured, and based on the measurement results, an innovative quantitative analysis method for the filtering level is proposed to determine whether the filtering level of the filter network and the level conversion module meets the filtering requirements based on the quantification results, so as to optimize the parameters of the filter network and the level conversion module or replace the devices with other parameters according to the analysis results to reduce the self-electromagnetic interference. It can be seen that this application can optimize the power supply network, reduce power supply interference, and improve the detection accuracy of the fiber optic gyroscope.

[0041] In order to better illustrate the present application solution, the following first describes in detail the power supply network of the fiber optic gyroscope detection circuit:

[0042] like Figure 4 、 Figure 5 and Figure 6 As shown, in the fiber optic gyroscope detection circuit, the weak signal detection circuit module includes a photodetector, a preamplifier circuit (i.e., a preamplifier circuit), and an A / D conversion module. The photodetector receives the optical signal from the fiber optic ring, performs photoelectric conversion on the optical signal, generates an electrical signal, and sends the electrical signal to the preamplifier circuit. The preamplifier circuit receives the electrical signal from the photodetector, sequentially performs DC isolation and filtering on the electrical signal, generates a PIN electrical signal, and sends the PIN electrical signal to the A / D conversion module. The A / D conversion module receives the PIN electrical signal from the preamplifier circuit, performs analog-to-digital conversion on the PIN electrical signal, generates a digital signal, and sends the digital signal to the digital closed-loop circuit module.

[0043] The digital closed-loop circuit module receives the digital signal from the A / D conversion module, performs closed-loop calculations on the digital signal, obtains digital feedback, and sends the digital feedback to the D / A conversion module. In this application, the digital closed-loop circuit module is based on an FPGA design and requires a 3.3V interface power supply and a 1.5V core power supply.

[0044] The modulation circuit module includes a D / A conversion module, a drive circuit, and an optoelectronic modulator. The D / A conversion module receives digital feedback from the digital closed-loop circuit module, performs digital-to-analog conversion on the digital feedback, generates a feedback electrical signal, and sends the feedback electrical signal to the drive circuit. The step wave drive circuit receives the feedback electrical signal from the D / A conversion module, amplifies the feedback electrical signal, generates a Y-waveguide modulation signal, and sends the Y-waveguide modulation signal to the optoelectronic modulator. The optoelectronic modulator receives the Y-waveguide modulation signal from the drive circuit and phase-modulates the optical signal of the fiber ring according to the Y-waveguide modulation signal, thereby generating a phase difference in the optical signal.

[0045] Level conversion circuit module: completes the level conversion required for the operation of the digital closed-loop circuit module.

[0046] Figure 4 In the power supply network shown, the filtering network includes filtering network 1, filtering network 2, filtering network 3, filtering network 4, and filtering network 5; filtering network 1 completes the filtering of the secondary power supply +5V to form +5V_AD, and filtering network 3 completes the filtering of the secondary power supply -5V to form -5V_AD, which powers the weak signal detection circuit module; filtering network 2 completes the filtering of the secondary power supply +5V to form +5V_DA, and filtering network 4 completes the filtering of the secondary power supply -5V to form -5V_DA, which powers the modulation circuit module; filtering network 5 completes the filtering of the +V1_digital power supply output by the level conversion circuit module, and after filtering, it becomes +V2_digital, which powers the digital closed-loop circuit module.

[0047] Specifically, in practical applications, the number and specifications of the level conversion circuit modules are selected according to the level required for the actual operation of the digital closed-loop circuit module, such as Figure 6 As shown, when the digital closed-loop circuit module requires 3.3V and 1.5V power supplies, it is necessary to adaptively select level conversion circuit module A and level conversion circuit module B. Level conversion circuit module A is used to convert the +5V voltage to 3.3V, and level conversion circuit module B is used to convert the +5V voltage to 1.5V. At the same time, adaptive matching filter networks 5A and 5B are also required.

[0048] In addition, the filter network of this application adopts a resistor-capacitor circuit, and the capacitors are selected in the form of tantalum capacitors + ceramic capacitors in parallel. The decoupling capacitors are selected in different capacitance combinations, which can disperse the series resonance to obtain a lower impedance in a wider frequency range (different capacitance values ​​usually differ by more than 1 order of magnitude). Among them, the tantalum capacitor is used as an RC network to filter the high-frequency signal, which can better achieve the purpose of filtering out interference at the intrinsic frequency. Considering that the ESR value of the tantalum capacitor will increase at low temperatures, resulting in a decrease in the filtering effect, since the ESR value of the ceramic capacitor changes less with temperature, it can make up for the deficiency of the tantalum capacitor ESR value changing more with temperature, resulting in the deterioration of the filtering performance in a low temperature environment. Therefore, a ceramic capacitor is added to improve the product margin.

[0049] Described below Figure 1 How to perform the steps shown.

[0050] First, with respect to step 100 : determine that the modulation circuit module and the digital closed-loop circuit module are interference devices, and the weak signal detection circuit module is the interfered device.

[0051] The inventors discovered during their work that: First, since the power supply network (i.e., power distribution network) between the step wave driving circuit in the modulation circuit module and the photodetector in the weak signal detection circuit module is not an ideal zero-impedance plane, the interference current I(f) generated by the step wave driving circuit will generate a certain voltage fluctuation V(f) at the signal end of the detector after flowing through the impedance Z(f) of the power distribution network, i.e., interference voltage. This interference voltage is eventually coupled to the signal output end of the detector and becomes part of the modulation crosstalk. After being amplified by the subsequent signal conditioning circuit, it affects the performance and accuracy of the fiber optic gyroscope. Therefore, it is necessary to identify the modulation circuit module as an interference device, i.e., an interference source, in order to facilitate the subsequent analysis of its interference characteristics.

[0052] Second, since digital closed-loop circuit modules are typically designed based on FPGAs, which primarily perform the gyroscope's closed-loop detection function, they internally generate signals related to the gyroscope's closed-loop control signal. This superimposed interference, which coincides with the modulation-demodulation frequency (eigenfrequency), is further transmitted to the photodetector signal terminal, ultimately causing output anomalies. Therefore, it is also necessary to identify the digital closed-loop circuit module as an interfering device to facilitate subsequent analysis of its interference characteristics.

[0053] In summary, in this embodiment, the interfering device and the interfered device are fully and completely determined, which is the basis for solving the power supply interference.

[0054] With respect to step 102, at least one filter network is connected between the weak signal detection circuit module and the positive and negative electrodes of the secondary power supply, and between the modulation circuit module and the positive and negative electrodes of the secondary power supply; the digital closed-loop circuit module includes at least one level interface, and a filter network and a level conversion circuit module are connected between each level interface and the positive electrode of the secondary power supply;

[0055] Regarding the signal interference caused by the modulation circuit module, there are two crosstalk paths: the first is the interference propagation path from the modulation circuit module to the weak signal detection circuit module in the reverse direction of the positive power supply direction of the secondary power supply; the second is the interference propagation path from the modulation circuit module to the weak signal detection circuit module in the reverse direction of the negative power supply direction of the secondary power supply;

[0056] For the signal interference caused by the digital closed-loop circuit module, the crosstalk path includes at least one: an interference propagation path from each level interface to the weak signal detection circuit module in the reverse direction of the positive power supply direction of the secondary power supply.

[0057] by Figure 4 and Figure 6Taking the example shown, in the reverse direction of the power supply direction of the positive pole of the secondary power supply, the modulation circuit module, the filter network 2, the filter network 1 and the weak signal detection circuit module constitute a crosstalk path. In the reverse direction of the power supply direction of the negative pole of the secondary power supply, the modulation circuit module, the filter network 4, the filter network 3 and the weak signal detection circuit module constitute another crosstalk path. The digital closed-loop circuit module, the filter network 5A, the level conversion circuit module A, the filter network 1 and the weak signal detection circuit module constitute a crosstalk path. The digital closed-loop circuit module, the filter network 5B, the level conversion circuit module B, the filter network 1 and the weak signal detection circuit module constitute another crosstalk path. Of course, the above is only a preferred method, and users can design more filter networks in the circuit as needed.

[0058] With respect to step 104 , the output signal strengths of the filter network and the level conversion module are both measured based on a spectrum analyzer, and the output signal directions of the filter network and the level conversion module are opposite to the power supply direction.

[0059] by Figure 6 For example, for the crosstalk path caused by the modulation circuit module, a spectrum analyzer was used to measure the six power supply networks: filter network 1 (+5V_AD), filter network 2 (+5V_DA), secondary power supply positive electrode (+5V), filter network 3 (-5V_AD), filter network 4 (-5V_DA), and secondary power supply negative electrode (-5V). According to the coherent detection characteristics, the gyroscope is only sensitive to the odd harmonics of the demodulated square wave. The signal strength at the first harmonic of the eigenfrequency is recorded as D +5V_AD 、D +5V_DA 、D +5V 、D -5V_AD 、D -5V_DA 、D -5V In addition, taking the filter network 2 to the modulation circuit module as an example, the power supply direction is that the current flows through the filter network 2 and the modulation circuit module in sequence, and the output signal direction is from the filter network 2 to the secondary power supply.

[0060] Regarding the crosstalk path caused by the digital closed-loop circuit module: Use a spectrum analyzer to measure the five power supply networks +3.3V2_digital, +3.3V1_digital, +1.5V2_digital, +1.5V1_digital, and +5V in sequence. According to the coherent detection characteristics, the gyroscope is only sensitive to the odd harmonics of the demodulated square wave. The signal strength at the first harmonic of the eigenfrequency is recorded as D +3.3V2_FPGA 、D +3.3V1_FPGA 、D +1.5V2_FPGA 、D +1.5V1_FPGA 、D +5V .

[0061] Furthermore, in some embodiments, the eigenfrequency of the fiber optic gyroscope is calculated using the following formula:

[0062]

[0063] Where f is the eigenfrequency of the fiber optic gyroscope; τ is the transit time; l is the length of the fiber loop; n is the refractive index of light propagating in the fiber; and c is the speed of light in vacuum.

[0064] like Figures 7-10 As shown, the fiber ring length is 560m, the refractive index of light propagating in the fiber is 1.5, and the speed of light in vacuum is 3×10 8 m / s and the eigenfrequency is 178.6 kHz, and the spectrum analysis results of filter network 1, filter network 2, level conversion module A, and level conversion module B are measured respectively.

[0065] With respect to step 106 , the filtering level of each filtering network and / or level conversion module is calculated based on the output signal strength and input signal strength of the filtering network and / or level conversion module.

[0066] In this step, the filtering level of the filtering network is determined according to its attenuation degree of the interference signal; the filtering level of the level conversion module is determined according to its isolation degree of the interference signal.

[0067] In addition, the attenuation of the interference signal by the filter network and the isolation of the interference signal by the level conversion module are calculated using the following formula:

[0068]

[0069] Where Loss represents the attenuation of the filter network and the isolation of the level conversion module; D out and D in Represent the output signal strength and input signal strength respectively.

[0070] This embodiment innovatively proposes a method for calculating the attenuation of the filtering network on the interference signal and the isolation of the level conversion circuit on the interference signal, which is novel, unique, simple and effective, and can well meet engineering needs.

[0071] The following are detailed descriptions Figure 6 The calculation process of each filter network and level conversion module:

[0072] (1) The attenuation of filter network 1 is:

[0073] (2) The attenuation of filter network 2 is:

[0074] (3) The attenuation of filter network 3 is:

[0075] (4) The attenuation of the filter network 4 is:

[0076] (5) The attenuation of the filter network 5A is:

[0077] (6) The attenuation of the filter network 5B is:

[0078] (7) The isolation of level conversion module A is:

[0079] (8) The isolation of level conversion module B is:

[0080] Regarding step 108, it includes:

[0081] For each filter network, it is determined whether its attenuation is less than the attenuation threshold. If so, it is determined that it meets the attenuation requirement and no optimization is required; if not, it is optimized until a filter network that meets the attenuation requirement is obtained;

[0082] For each level conversion module, it is determined whether its isolation is less than the isolation threshold. If so, it is determined that it meets the isolation requirements and no optimization is required; if not, it is optimized until a level conversion module that meets the isolation requirements is obtained.

[0083] In this step, if the attenuation or isolation is less than the corresponding threshold, it indicates that the filtering performance of the corresponding filter network or level conversion module is poor, and it is necessary to optimize the corresponding device parameters or replace the device with a different model. In addition, the attenuation threshold and isolation threshold are determined according to actual needs and are not specifically limited in this application.

[0084] Through the above-mentioned optimization method, the present application effectively solves the crosstalk suppression problems on two paths: interference coupling from the fiber optic gyroscope modulation circuit module to the weak signal detection circuit module and interference coupling from the digital closed-loop circuit module to the weak signal detection circuit module. It provides ideas for the quantitative design of the power supply network design method, can be widely used in fiber optic gyroscope products, can significantly improve the performance level of the fiber optic gyroscope, has broad application prospects, and has strong market competitiveness.

[0085] like Figure 2 、 Figure 3 As shown, the embodiment of the present invention provides an optimization device for the power supply network of the fiber optic gyroscope detection circuit. The device embodiment can be implemented by software, hardware, or a combination of software and hardware. From the hardware level, Figure 2 As shown in FIG. 1 , a hardware architecture diagram of a computing device where an optimization device for a fiber optic gyroscope detection circuit power supply network is located is provided in an embodiment of the present invention. Figure 2In addition to the processor, memory, network interface, and non-volatile memory shown, the computing device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 3 As shown, as a device in a logical sense, it is formed by the CPU of the computing device in which it is located reading the corresponding computer program in the non-volatile memory into the internal memory and running it.

[0086] Please refer to Figure 3 An embodiment of the present invention provides an optimization device for a power supply network of a fiber optic gyroscope detection circuit. The fiber optic gyroscope detection circuit includes a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module, and a power supply network. The power supply network includes a secondary power supply, multiple filter networks, and at least one level conversion circuit module. The device includes:

[0087] The first determining unit 300 is configured to determine that the modulation circuit module and the digital closed-loop circuit module are interference devices, and the weak signal detection circuit module is an interfered device;

[0088] The second determining unit 302 is configured to determine a plurality of crosstalk paths, each of which takes each interfering device as a starting point and the interfered device as an end point; each crosstalk path includes at least one filtering network and / or level conversion module;

[0089] An acquiring unit 304 is configured to acquire, for each crosstalk path, output signal strengths of each filter network and / or level conversion module in the crosstalk path at an eigenfrequency of the fiber optic gyroscope;

[0090] A calculation unit 306, configured to calculate a filtering level of each filtering network and / or level conversion module based on the output signal strength and input signal strength thereof;

[0091] The optimization unit 308 is configured to determine whether to optimize the corresponding filter network and / or level conversion module based on the calculated filtering level.

[0092] In some embodiments, at least one filter network is connected between the weak signal detection circuit module and the positive and negative poles of the secondary power supply, and between the modulation circuit module and the positive and negative poles of the secondary power supply; the digital closed-loop circuit module includes at least one level interface, and a filter network and a level conversion circuit module are connected between each level interface and the positive pole of the secondary power supply;

[0093] Regarding the signal interference caused by the modulation circuit module, there are two crosstalk paths: the first is the interference propagation path from the modulation circuit module to the weak signal detection circuit module in the reverse direction of the positive power supply direction of the secondary power supply; the second is the interference propagation path from the modulation circuit module to the weak signal detection circuit module in the reverse direction of the negative power supply direction of the secondary power supply;

[0094] For the signal interference caused by the digital closed-loop circuit module, the crosstalk path includes at least one: an interference propagation path from each level interface to the weak signal detection circuit module in the reverse direction of the positive power supply direction of the secondary power supply.

[0095] In some embodiments, the output signal strengths of the filter network and the level conversion module are both measured based on a spectrum analyzer, and the output signal directions of the filter network and the level conversion module are opposite to the power supply direction.

[0096] In some embodiments, the filtering level of the filtering network is determined based on its attenuation of the interference signal;

[0097] The filtering level of the level conversion module is determined by its isolation from interfering signals.

[0098] In some embodiments, the attenuation of the interference signal by the filtering network and the isolation of the interference signal by the level conversion module are both calculated using the following formula:

[0099]

[0100] Where Loss represents the attenuation of the filter network and the isolation of the level conversion module; D out and D in Represent the output signal strength and input signal strength respectively.

[0101] In some implementations, the optimization unit 308 is configured to perform the following operations:

[0102] For each filter network, it is determined whether its attenuation is less than the attenuation threshold. If so, it is determined that it meets the attenuation requirement and no optimization is required; if not, it is optimized until a filter network that meets the attenuation requirement is obtained;

[0103] For each level conversion module, it is determined whether its isolation is less than the isolation threshold. If so, it is determined that it meets the isolation requirements and no optimization is required; if not, it is optimized until a level conversion module that meets the isolation requirements is obtained.

[0104] In some embodiments, the eigenfrequency of the fiber optic gyroscope is calculated by the following formula:

[0105]

[0106] Where f is the eigenfrequency of the fiber optic gyroscope; τ is the transit time; l is the length of the fiber loop; n is the refractive index of light propagating in the fiber; and c is the speed of light in vacuum.

[0107] It should be noted that the device for optimizing the power supply network for a fiber optic gyroscope detection circuit provided in the above embodiment is merely illustrative of the division of the aforementioned functional modules. In actual applications, the aforementioned functions can be assigned to different functional modules as needed, i.e., the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. Furthermore, the device for optimizing the power supply network for a fiber optic gyroscope detection circuit provided in the above embodiment and the method for optimizing the power supply network for a fiber optic gyroscope detection circuit provided in the above embodiment are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be further described here.

[0108] The embodiment of the present application also provides a computer device, please refer to Figure 3 The computer device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the optimization method of the fiber optic gyroscope detection circuit power supply network provided by the above-mentioned method embodiments.

[0109] An embodiment of the present application also provides a computer-readable storage medium, on which is stored at least one instruction, at least one program, code set, or instruction set, and the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the optimization method of the fiber optic gyroscope detection circuit power supply network provided by the above-mentioned method embodiments.

[0110] An embodiment of the present application also provides a computer program product, which includes a computer program. A processor of a computer device reads the computer program from a computer-readable storage medium, and the processor executes the computer program, so that the computer device executes the method for optimizing the power supply network of the fiber optic gyroscope detection circuit described in any of the above embodiments.

[0111] For the convenience of description, the above systems or devices are described as being divided into various modules or units according to their functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0112] Through the description of the above embodiments, it can be seen that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present application or certain parts of the embodiments.

[0113] Finally, it should be noted that, in this document, relational terms such as first, second, third, and fourth are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0114] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for optimizing a power supply network for a fiber optic gyroscope detection circuit, characterized in that: The fiber optic gyroscope detection circuit includes a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module and the power supply network, wherein the power supply network includes a secondary power supply, multiple filter networks and at least one level conversion circuit module; the method includes: Determining that the modulation circuit module and the digital closed-loop circuit module are interfering devices, and the weak signal detection circuit module is an interfered device; Determine multiple crosstalk paths with each interfering device as a starting point and the interfered device as an end point; each crosstalk path includes at least one filtering network and / or level conversion module; For each crosstalk path, the output signal strength of each filter network and / or level conversion module in the crosstalk path at the eigenfrequency of the fiber optic gyroscope is obtained; Calculating the filtering level of each filtering network and / or level conversion module based on the output signal strength and input signal strength; Based on the calculated filtering level, it is determined whether to optimize the corresponding filtering network and / or level conversion module.

2. The method according to claim 1, characterized in that At least one filter network is connected between the weak signal detection circuit module and the positive and negative electrodes of the secondary power supply, and between the modulation circuit module and the positive and negative electrodes of the secondary power supply; the digital closed-loop circuit module includes at least one level interface, and a filter network and a level conversion circuit module are connected between each level interface and the positive electrode of the secondary power supply; For the signal interference caused by the modulation circuit module, the crosstalk path includes two: the first is the interference propagation path from the modulation circuit module to the weak signal detection circuit module in the reverse direction of the power supply direction of the positive pole of the secondary power supply; the second is the interference propagation path from the modulation circuit module to the weak signal detection circuit module in the reverse direction of the power supply direction of the negative pole of the secondary power supply; With respect to the signal interference caused by the digital closed-loop circuit module, the crosstalk path includes at least one interference propagation path from each level interface to the weak signal detection circuit module in the reverse direction of the positive power supply direction of the secondary power supply.

3. The method according to claim 1, characterized in that The output signal strengths of the filtering network and the level conversion module are both measured based on a spectrum analyzer, and the output signal directions of the filtering network and the level conversion module are opposite to the power supply direction.

4. The method according to claim 1, wherein The filtering level of the filtering network is determined according to its attenuation degree to the interference signal; The filtering level of the level conversion module is determined according to its isolation degree to interference signals.

5. The method according to claim 4, characterized in that The attenuation of the interference signal by the filtering network and the isolation of the interference signal by the level conversion module are both calculated by the following formula: Where Loss represents the attenuation of the filter network and the isolation of the level conversion module; D out and D in Represent the output signal strength and input signal strength respectively.

6. The method according to claim 4, characterized in that The determining whether to optimize the corresponding filter network and / or level conversion module based on the calculated filtering level includes: For each filter network, it is determined whether its attenuation is less than the attenuation threshold. If so, it is determined that it meets the attenuation requirement and no optimization is required; if not, it is optimized until a filter network that meets the attenuation requirement is obtained; For each level conversion module, it is determined whether its isolation is less than the isolation threshold. If so, it is determined that it meets the isolation requirements and no optimization is required; if not, it is optimized until a level conversion module that meets the isolation requirements is obtained.

7. The method according to claim 1, characterized in that The eigenfrequency of the fiber optic gyroscope is calculated by the following formula: Where f is the eigenfrequency of the fiber optic gyroscope; τ is the transit time; l is the length of the fiber loop; n is the refractive index of light propagating in the fiber; and c is the speed of light in vacuum.

8. An optimization device for a power supply network of a fiber optic gyroscope detection circuit, characterized in that: The fiber optic gyroscope detection circuit includes a weak signal detection circuit module, a modulation circuit module, a digital closed-loop circuit module and the power supply network, wherein the power supply network includes a secondary power supply, multiple filter networks and at least one level conversion circuit module; the device includes: a first determining unit, configured to determine that the modulation circuit module and the digital closed-loop circuit module are interference devices, and the weak signal detection circuit module is an interfered device; A second determining unit is configured to determine a plurality of crosstalk paths, each of which takes each interfering device as a starting point and the interfered device as an end point; each of the crosstalk paths includes at least one filtering network and / or a level conversion module; An acquisition unit, configured to acquire, for each crosstalk path, the output signal strength of each filter network and / or level conversion module in the crosstalk path at the eigenfrequency of the fiber optic gyroscope; a calculation unit, configured to calculate a filtering level of each filtering network and / or level conversion module based on the output signal strength and input signal strength thereof; The optimization unit is configured to determine whether to optimize the corresponding filter network and / or level conversion module based on the calculated filtering level.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the steps of any one of the methods described in claims 1-7.

10. A computer-readable storage medium, characterized in that The storage medium stores a computer program, which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 7.

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