CN116366076B - Monitoring method, device, equipment and medium of software defined radio equipment - Google Patents

Monitoring method, device, equipment and medium of software defined radio equipment Download PDF

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CN116366076B
CN116366076B CN202310645576.2A CN202310645576A CN116366076B CN 116366076 B CN116366076 B CN 116366076B CN 202310645576 A CN202310645576 A CN 202310645576A CN 116366076 B CN116366076 B CN 116366076B
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target
control voltage
module
auxiliary
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CN116366076A (en
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林长伟
王亚苹
肖新光
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Beijing Antiy Network Technology Co Ltd
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Beijing Antiy Network Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/0003—Software-defined radio [SDR] systems, i.e. systems wherein components typically implemented in hardware, e.g. filters or modulators/demodulators, are implented using software, e.g. by involving an AD or DA conversion stage such that at least part of the signal processing is performed in the digital domain
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/147—Network analysis or design for predicting network behaviour
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/16—Threshold monitoring
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention provides a monitoring method, a device, equipment and a medium of software defined radio equipment, which are characterized in that a sub-control voltage range with the largest fluctuation value of signal characteristic change rate is selected as a target sub-control voltage range, a plurality of second target control voltages are determined according to the target sub-control voltage range so as to obtain a monitoring signal characteristic vector, the signal characteristic fluctuation stability caused by randomly selecting the sub-control voltage range as a target sub-static voltage range is avoided, and in the subsequent monitoring process of a signal processing auxiliary module, when the monitored signal processing auxiliary module fails, the difference between a real-time signal characteristic vector generated according to the signal characteristic read by a second signal characteristic reading module and the monitoring signal characteristic vector is not obvious, so that the failure problem of the signal processing auxiliary module in the monitored SDR equipment cannot be found out in time, and the loss is caused.

Description

Monitoring method, device, equipment and medium of software defined radio equipment
Technical Field
The present invention relates to the field of signal processing technologies, and in particular, to a method and apparatus for monitoring a software defined radio device, an electronic device, and a storage medium.
Background
After the software defined radio is put into use, the signal processing auxiliary module in the software defined radio will have its own lifetime and probability of damage. However, there are a large number of problems that occur before the service life of the signal processing auxiliary module in the software defined radio device is marked, and it is necessary to predict the failure occurrence of the signal processing auxiliary module in the software defined radio device, so that it is a very important technical problem to predict the failure time of the signal processing auxiliary module in the software defined radio device. Thus, the failure of the signal processing auxiliary module in the software defined radio may result in a loss of timely discovery.
Disclosure of Invention
In view of the above, the present invention provides a method for monitoring a software defined radio, which aims at the problem that the failure problem of a signal processing auxiliary module in the software defined radio cannot be found in time due to the fact that the loss time of the signal processing auxiliary module in the software defined radio cannot be accurately predicted, and adopts the following technical scheme:
According to one aspect of the present application, there is provided a method of monitoring a software defined radio, the software defined radio comprising a signal processing module and a signal processing auxiliary module; the signal processing module can process the received satellite signals according to the target auxiliary signals output by the signal processing auxiliary module;
the method comprises the following steps:
the control signal processing module sequentially takes a plurality of first target control voltages in each sub-control voltage range as the current control voltage of the signal processing auxiliary module so as to obtain first target auxiliary signals corresponding to the plurality of first target control voltages in each sub-control voltage range;
determining a signal characteristic change rate fluctuation value corresponding to each sub-control voltage range according to signal characteristics of a first target auxiliary signal corresponding to a plurality of first target control voltages in each sub-control voltage range, and obtaining a signal characteristic change rate fluctuation value list;
taking a sub-control voltage range corresponding to the maximum signal characteristic change rate fluctuation value in the signal characteristic change rate fluctuation value list as a target sub-control voltage range MV;
the control signal processing module sequentially takes a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a second target auxiliary signal corresponding to each second target control voltage;
Setting time DeltaT at each interval, and sequentially taking a plurality of second target control voltages in the MV as current control voltages of the signal processing auxiliary module by the control signal processing module so as to obtain signal characteristics of a third target auxiliary signal corresponding to each second target control voltage;
if the matching degree between the real-time signal feature vector and the monitoring signal feature vector is smaller than a preset signal feature matching degree threshold value, generating a fault signal; the real-time signal feature vector is generated according to the signal features of each third target auxiliary signal, and the monitoring signal feature vector is generated according to the signal features of each second target auxiliary signal.
In an exemplary embodiment of the present application, the software defined radio further includes a first signal feature reading module and a second signal feature reading module, where the first signal feature reading module and the second signal feature reading module are both connected to the signal processing auxiliary module, and the first signal feature reading module and the second signal feature reading module are both used for reading signal features of auxiliary signals output by the signal processing auxiliary module, and a reading accuracy of the first signal feature reading module is greater than a reading accuracy of the second signal feature reading module;
The second target control voltage is obtained by:
determining a plurality of third target control voltage lists in the MV by setting different voltage value intervals for the MV; the third target control voltages in the third target control voltage list are arranged in order from small to large, the difference between two adjacent third target control voltages in the same third target control voltage list is the same, and each third target control voltage belongs to MV;
the control signal processing module sequentially takes each third target control voltage as the current control voltage of the signal processing auxiliary module so as to obtain a fourth target auxiliary signal corresponding to each third target control voltage;
generating a third target characteristic signal vector and a fourth target characteristic signal vector corresponding to each third target control voltage list according to the third characteristic signal of each fourth target auxiliary signal and the fourth characteristic signal of each fourth target auxiliary signal in each third target control voltage list; the third characteristic signal of each fourth target auxiliary signal is output through the first signal characteristic reading module, and the fourth characteristic signal of each fourth target auxiliary signal is output through the second signal characteristic reading module;
And carrying out matching degree calculation processing on a third target characteristic signal vector and a fourth target characteristic signal vector corresponding to the same third target control voltage list, and determining a third target control voltage list with the highest matching degree of the third target characteristic signal vector and the fourth target characteristic signal vector as a second target control voltage list.
In an exemplary embodiment of the present application, the degree of matching between the real-time signal feature vector and the monitoring signal feature vector is obtained by:
taking the signal characteristics of each third target auxiliary signal as first appointed signal characteristics to obtain a first appointed signal characteristic list;
taking the signal characteristics of each second target auxiliary signal as second designated signal characteristics to obtain a second designated signal characteristic list;
sequentially comparing the first specified signal characteristics in the first specified signal characteristic list with the second specified signal characteristics in the second specified signal characteristic list to obtain the same number as the second specified signal characteristics in the first specified signal characteristic list as the key judgment number;
and taking the ratio of the key judgment quantity to the quantity of the first specified signal features in the first specified signal feature list as the matching degree between the real-time signal feature vector and the monitoring signal feature vector.
In an exemplary embodiment of the present application, comparing the first specified signal feature in the first specified signal feature list and the second specified signal feature in the second specified signal feature list sequentially to obtain the critical judgment number includes:
starting a counter;
taking the first control voltage of a plurality of control voltages corresponding to the monitoring signal feature vector as a designated control voltage V 0 The method comprises the steps of carrying out a first treatment on the surface of the The control voltages corresponding to the monitoring signal feature vectors are arranged in the order from small to large;
entering a judging step;
the judging step comprises the following steps:
if V 0 The corresponding first appointed signal characteristic is the same as the second appointed signal characteristic, and the counter is increased by 1; otherwise, the counter is not changed;
if V 0 Acquiring V in a plurality of control voltages corresponding to the monitoring signal feature vector, wherein the V is not the last control voltage in the plurality of control voltages corresponding to the monitoring signal feature vector 0 As V 0 And enter the judging step again; otherwise, the number corresponding to the counter is used as the key judgment number.
In an exemplary embodiment of the present application, the first signal characteristic reading module is a frequency meter, and the reference clock used by the first signal characteristic reading module is a rubidium clock.
In an exemplary embodiment of the present application, the signal characteristic change rate fluctuation value corresponding to each sub-control voltage range is obtained by the following steps:
determining a plurality of signal characteristic change rates corresponding to each sub-control voltage range according to the signal characteristics of the first target auxiliary signals corresponding to a plurality of first target control voltages in each sub-control voltage range;
and determining the fluctuation value of the signal characteristic change rate corresponding to each sub-control voltage range according to the plurality of signal characteristic change rates corresponding to each sub-control voltage range.
According to another aspect of the present application, there is provided a monitoring apparatus of a software defined radio, the apparatus comprising:
the first control module is used for controlling the signal processing module to sequentially take a plurality of first target control voltages in each sub-control voltage range as the current control voltage of the signal processing auxiliary module so as to obtain first target auxiliary signals corresponding to the plurality of first target control voltages in each sub-control voltage range;
the determining module is used for determining a signal characteristic change rate fluctuation value corresponding to each sub-control voltage range according to the signal characteristics of the first target auxiliary signals corresponding to a plurality of first target control voltages in each sub-control voltage range, and obtaining a signal characteristic change rate fluctuation value list; taking a sub-control voltage range corresponding to the maximum signal characteristic change rate fluctuation value in the signal characteristic change rate fluctuation value list as a target sub-control voltage range MV;
The second control module is used for controlling the signal processing module to sequentially take a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a second target auxiliary signal corresponding to each second target control voltage;
the acquisition module is used for setting time DeltaT at each interval, and the control signal processing module sequentially takes a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a third target auxiliary signal corresponding to each second target control voltage;
the judging module is used for generating a fault signal if the matching degree between the real-time signal feature vector and the monitoring signal feature vector is smaller than a preset signal feature matching degree threshold value; the real-time signal feature vector is generated according to the signal features of each third target auxiliary signal, and the monitoring signal feature vector is generated according to the signal features of each second target auxiliary signal.
According to another aspect of the present application, there is also provided a non-transitory computer readable storage medium having stored therein at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by a processor to implement the method of monitoring a software defined radio as described above.
According to another aspect of the present application, there is also provided an electronic device comprising a processor and the above-described non-transitory computer-readable storage medium.
The invention has at least the following beneficial effects:
the sub-control voltage range with the largest signal characteristic change rate fluctuation value is selected as a target sub-control voltage range, a plurality of second target control voltages are determined according to the target sub-control voltage range, so that a monitoring signal characteristic vector is obtained, the problem that signal characteristic fluctuation caused by randomly selecting the sub-control voltage range as a target sub-static voltage range is stable is avoided, and in the subsequent monitoring process of a signal processing auxiliary module, when the monitored signal processing auxiliary module fails, the difference between the real-time signal characteristic vector generated according to the signal characteristic read by the second signal characteristic reading module and the monitoring signal characteristic vector is not obvious, so that the failure problem of the signal processing auxiliary module in monitored SDR equipment cannot be found out in time, and the loss is caused.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart illustrating a method of monitoring a software defined radio, according to an exemplary embodiment;
fig. 2 is a schematic block diagram of a monitoring apparatus of a software defined radio according to an exemplary embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
Please refer to fig. 1. In one aspect of the present application, a method for monitoring a software defined radio is provided, the software defined radio comprising a signal processing module and a signal processing auxiliary module; the signal processing module can process the received satellite signals according to the target auxiliary signals output by the signal processing auxiliary module.
Specifically, the signal processing module is a digital-to-analog converter.
S1, the control signal processing module sequentially uses a plurality of first target control voltages in each sub-control voltage range as current control voltages of the signal processing auxiliary module so as to obtain first target auxiliary signals corresponding to the plurality of first target control voltages in each sub-control voltage range.
S2, determining a signal characteristic change rate fluctuation value corresponding to each sub-control voltage range according to signal characteristics of first target auxiliary signals corresponding to a plurality of first target control voltages in each sub-control voltage range, and obtaining a signal characteristic change rate fluctuation value list.
Specifically, the signal characteristic change rate fluctuation value list is obtained through the following steps:
s21, determining a plurality of signal characteristic change rates corresponding to each sub-control voltage range according to first target auxiliary signals corresponding to a plurality of first target control voltages contained in each sub-control voltage range.
Specifically, the mth signal characteristic change rate BL in the ith sub-control voltage range m i Meets the following conditions: BL (bit line) i m =（P i m+1 -P i m ）/（V i m+1 -V i m ) Wherein V is i m+1 For the (m+1) th first target control voltage in the (i) th sub-control voltage range, V i m For the mth first target control voltage, P, in the ith sub-control voltage range i m+1 The input control voltage for the signal processing auxiliary module is V i m+1 Signal characteristics of the actual output auxiliary signal, P i m Input control for the signal processing auxiliary moduleThe voltage is V i m The signal characteristics of the auxiliary signal are actually output.
S22, determining the fluctuation value of the signal characteristic change rate corresponding to each sub-control voltage range according to the signal characteristic change rate corresponding to each sub-control voltage range.
Specifically, the signal characteristic change rate fluctuation value BD corresponding to the i-th sub-control voltage range i =∑ n（i） m=1 （BL i m -PBL i ) N (i), wherein m has a value of 1 to n (i), n (i) is the number of signal characteristic change rates corresponding to the ith sub-control voltage range, PBL i And the mean value of the signal characteristic change rate corresponding to the ith sub-control voltage range.
And S3, taking the sub-control voltage range corresponding to the maximum signal characteristic change rate fluctuation value in the signal characteristic change rate fluctuation value list as a target sub-control voltage range MV.
Specifically, the larger the signal characteristic change rate fluctuation value is, the larger the corresponding signal characteristic change rate fluctuation value is, and the more unstable the signal characteristic change rate fluctuation value is.
And S4, the control signal processing module sequentially takes a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of the second target auxiliary signals corresponding to each second target control voltage.
Specifically, the signal characteristics of the second target auxiliary signal are read by a second signal characteristic reading module.
Further, the software defined radio device further comprises a first signal characteristic reading module and a second signal characteristic reading module, the first signal characteristic reading module and the second signal characteristic reading module are both connected with the signal processing auxiliary module, the first signal characteristic reading module and the second signal characteristic reading module are both used for reading signal characteristics of auxiliary signals output by the signal processing auxiliary module, and the reading precision of the first signal characteristic reading module is larger than that of the second signal characteristic reading module.
Further, the first signal characteristic reading module is a frequency meter, and the reference clock used by the first signal characteristic reading module is a rubidium clock. The second signal characteristic reading module is a frequency meter, and the reference clock used by the first signal characteristic reading module is a clock of the frequency meter.
The second target control voltage is obtained by:
s41, determining a plurality of third target control voltage lists in the MV by setting different voltage value intervals for the MV; the third target control voltages in the third target control voltage list are arranged in order from small to large, the difference between two adjacent third target control voltages in the same third target control voltage list is the same, and each third target control voltage belongs to an MV;
specifically, the minimum control voltage in the third target voltage list is a first endpoint corresponding to the target sub-control voltage range, the maximum control voltage in the third target control voltage list is a second endpoint corresponding to the target sub-control range, and the control voltage corresponding to the first endpoint is smaller than the control voltage corresponding to the second endpoint.
S42, the control signal processing module sequentially takes each third target control voltage as the current control voltage of the signal processing auxiliary module so as to obtain a fourth target auxiliary signal corresponding to each third target control voltage;
S43, generating a third target characteristic signal vector and a fourth target characteristic signal vector corresponding to each third target control voltage list according to the third characteristic signal of each fourth target auxiliary signal and the fourth characteristic signal of each fourth target auxiliary signal in each third target control voltage list; the third characteristic signal of each fourth target auxiliary signal is output through the first signal characteristic reading module, and the fourth characteristic signal of each fourth target auxiliary signal is output through the second signal characteristic reading module;
and S44, performing matching degree calculation processing on a third target characteristic signal vector and a fourth target characteristic signal vector corresponding to the same third target control voltage list, and determining a third target control voltage list with the highest matching degree of the third target characteristic signal vector and the fourth target characteristic signal vector as a second target control voltage list.
In an exemplary embodiment of the present application, the second target control voltage list is obtained by:
s441, determining a matching degree list P= (P) according to the third target feature vector and the fourth target feature vector corresponding to each third target control voltage list 1 ，P 2 ，……，P r ，……，P R ) The value of R is 1 to R, R is the number of the third target control voltage list, P r And controlling the matching degree between the third target feature vector and the fourth target feature vector corresponding to the voltage list for the r third target.
Specifically, the matching degree between the third target feature vector and the fourth target feature vector is calculated by the euclidean distance.
S442, the maximum matching degree P in the matching degree list max A corresponding third target control voltage list is used as a second target control voltage list, wherein P max =max (P); max () is a maximum value determination function.
In this embodiment, in the process of acquiring the monitoring signal feature vector, the first signal feature reading module and the second signal feature reading module need to be used for simultaneously reading signal features of the actual output auxiliary signal corresponding to the signal processing auxiliary module, and in this application, the first signal feature reading module has higher cost, and in the process of actually putting into use of the software defined radio device, only the second signal feature reading module is used for monitoring the signal processing auxiliary module, so that a third target control voltage list with the same signal features read by the first signal feature reading module and the second signal feature reading module is selected as the second target control voltage list, the monitoring signal feature vector is generated, and in the process of monitoring the signal processing auxiliary module, when the monitored signal processing auxiliary module fails, the real-time signal feature vector generated according to the signal features read by the second signal feature reading module can more show a gap with the monitoring signal feature vector, so that the fault detection is more accurate.
S5, setting time DeltaT at each interval, and sequentially taking a plurality of second target control voltages in the MV as current control voltages of the signal processing auxiliary module by the control signal processing module so as to obtain signal characteristics of a third target auxiliary signal corresponding to each second target control voltage.
S6, if the matching degree between the real-time signal feature vector and the monitoring signal feature vector is smaller than a preset signal feature matching degree threshold value, generating a fault signal; the real-time signal feature vector is generated according to the signal features of each third target auxiliary signal, and the monitoring signal feature vector is generated according to the signal features of each second target auxiliary signal.
In another exemplary embodiment of the present application,
s61, the matching degree between the real-time signal feature vector and the monitoring signal feature vector is obtained through the following steps:
taking the signal characteristics of each third target auxiliary signal as first appointed signal characteristics to obtain a first appointed signal characteristic list;
s62, taking the signal characteristics of each second target auxiliary signal as second designated signal characteristics to obtain a second designated signal characteristic list;
s63, comparing the first specified signal characteristics in the first specified signal characteristic list with the second specified signal characteristics in the second specified signal characteristic list in sequence to obtain the same number as the second specified signal characteristics in the first specified signal characteristic list as the key judgment number;
S64, taking the ratio of the key judgment quantity to the quantity of the first specified signal characteristics in the first specified signal characteristic list as the matching degree between the real-time signal characteristic vector and the monitoring signal characteristic vector.
Specifically, comparing the first specified signal feature in the first specified signal feature list with the second specified signal feature in the second specified signal feature list in order to obtain a critical judgment number, including:
starting a counter;
taking the first control voltage of a plurality of control voltages corresponding to the monitoring signal feature vector as a designated control voltage V 0 The method comprises the steps of carrying out a first treatment on the surface of the The control voltages corresponding to the monitoring signal feature vectors are arranged in the order from small to large;
entering a judging step;
the judging step comprises the following steps:
if V 0 The corresponding first appointed signal characteristic is the same as the second appointed signal characteristic, and the counter is increased by 1; otherwise, the counter is not changed;
if V 0 Acquiring V in a plurality of control voltages corresponding to the monitoring signal feature vector, wherein the V is not the last control voltage in the plurality of control voltages corresponding to the monitoring signal feature vector 0 As V 0 And enter the judging step again; otherwise, the number corresponding to the counter is used as the key judgment number.
Specifically, the signal processing auxiliary module in the invention is a voltage-controlled oscillator. Preferably, the signal processing auxiliary module is a voltage controlled-temperature compensated crystal oscillator (VCTCXO).
In this embodiment, a sub-control voltage range with the largest fluctuation value of the signal characteristic change rate is selected as a target sub-control voltage range, and a plurality of second target control voltages are determined according to the target sub-control voltage range, so as to obtain a monitored signal characteristic vector, and avoid the problem that signal characteristic fluctuation caused by randomly selecting the sub-control voltage range as a target sub-rest voltage range is stable, and in the subsequent monitoring process of the signal processing auxiliary module, when the monitored signal processing auxiliary module fails, a gap between a real-time signal characteristic vector generated according to the signal characteristic read by the second signal characteristic reading module and the monitored signal characteristic vector is not obvious, so that a fault problem of the signal processing auxiliary module in the monitored SDR equipment cannot be found out in time to bring loss.
Aiming at the problem that a gap exists between the rated voltage corresponding to the signal characteristics of the target auxiliary signal marked in the voltage-signal characteristic table corresponding to the signal processing auxiliary module and the signal characteristics of the actual output auxiliary signal corresponding to the signal processing auxiliary module, a second embodiment of the control method of the software defined radio device is provided, as follows:
S100, determining an actual auxiliary signal output by the signal processing auxiliary module when the current control voltage is a first rated voltage as a first auxiliary signal; the first rated voltage is the rated voltage corresponding to the actual auxiliary signal output by the signal processing auxiliary module when the actual auxiliary signal is the target auxiliary signal.
Specifically, the first rated voltage may be obtained by querying a rated voltage-signal characteristic table corresponding to the signal processing auxiliary module.
S200, if the absolute value of P1-P0 is more than PY, entering a target control voltage determination processing process; wherein, P1 is the signal characteristic of the first auxiliary signal, P0 is the signal characteristic of the target auxiliary signal, PY is the preset characteristic difference threshold; the signal is characterized by a signal frequency.
In particular, the software defined radio further comprises a calibration module connected to the signal processing module and the signal characteristic reading module.
Further, the calibration module is configured to compare the read signal characteristic with P0, calculate an input value to be adjusted by the signal processing module, and send a control command to modify the input value of the signal processing module, where different input values input to the signal processing module correspondingly output different voltages.
Specifically, the significant number corresponding to PY is 2 or more.
Further, the PY may be set by those skilled in the art according to actual needs, and will not be described herein.
The target control voltage determination processing procedure includes:
s300, acquiring a target voltage interval V= [ V1, V2]; the signal characteristic of the actual auxiliary signal output by the signal processing auxiliary module when the current control voltage is v1 is smaller than P0, and the signal characteristic of the actual auxiliary signal output by the signal processing auxiliary module when the current control voltage is v2 is larger than P0.
S400, determining a candidate voltage VH according to V, and adjusting the current control voltage of the signal processing auxiliary module to VH; v1 < VH < v2.
S500, determining an actual auxiliary signal currently output by the signal processing auxiliary module as a second auxiliary signal.
S600, if |P2-P0| < PY, determining VH as a target control voltage MV; otherwise, executing the target control voltage determining process again; wherein P2 is a signal characteristic of the second auxiliary signal.
According to the control method of the software defined radio equipment, an actual auxiliary signal output by a signal processing auxiliary module when the current control voltage is the first rated voltage is determined to be the first auxiliary signal, if the difference between the signal characteristics of the first auxiliary signal and the signal characteristics of the target auxiliary signal is larger than the preset characteristic difference threshold, target control voltage determining processing is carried out, a target voltage interval is obtained, candidate voltage is determined in the target voltage interval, the current control voltage of the signal processing auxiliary module is adjusted to be the candidate voltage, if the difference between the signal characteristics of a second auxiliary signal corresponding to the candidate voltage and the signal characteristics of the target auxiliary signal is smaller than the preset characteristic difference threshold, the candidate voltage is taken as the target control voltage, and otherwise, the target control voltage determining processing process is carried out again. Thus, the signal characteristics of the auxiliary signal corresponding to the obtained target control voltage are equivalent to those of the target auxiliary signal. Therefore, the problem that errors are generated in the software defined radio equipment due to inaccurate actual output signal characteristics in actual use due to inaccurate voltage-signal characteristic tables corresponding to the signal processing auxiliary modules is avoided.
In one exemplary embodiment of the present application, V is obtained by:
and if the current control voltage of the signal processing auxiliary module is the first rated voltage, determining V in a first control voltage interval determination mode.
The first control voltage interval determining mode includes:
if P1 is less than P0, taking a first preset control voltage as v2 and taking the first rated voltage as v1;
if P1 > P0, taking the first rated voltage as v2 and taking a second preset control voltage as v1;
the first preset control voltage is greater than the second preset control voltage.
In an exemplary embodiment of the present application, V may also be obtained by:
if the current control voltage of the signal processing auxiliary module is not the first rated voltage, determining V in a second target control voltage interval determining mode;
the second target control voltage interval determining mode includes:
if P1 < P0, then VH is taken as v1; if P1 > P0, then VH is taken as v2.
Specifically, VH meets the following conditions:
wherein->Is a preset upper rounding function.
Because the calculation method for obtaining the VH is simple and quick, the time efficiency is improved.
In the embodiment of the invention, V may also be obtained by:
if the current control voltage of the signal processing auxiliary module is the first rated voltage, determining V in a third control voltage interval determining mode;
the third control voltage interval determining mode includes:
acquiring a preset control voltage list; wherein the preset control voltage list comprises a plurality of preset control voltages;
the control signal processing module sequentially takes each preset control voltage as the current control voltage of the signal processing auxiliary module so as to obtain an actual auxiliary signal corresponding to each preset control voltage as a third auxiliary signal;
acquiring each third signal characteristic corresponding to each third auxiliary signal;
according to P0 and each third signal characteristic, a first signal characteristic P3 and a second signal characteristic P4 are obtained; p3 > P0, and P3 is the third signal feature closest to P0 among the third signal features; p4 < P0, and P4 is the third signal feature closest to P0 among the third signal features;
taking the corresponding preset control voltage corresponding to P3 as v2, and taking the corresponding preset control voltage corresponding to P4 as v1.
If the current control voltage of the signal processing auxiliary module is the first rated voltage, determining VH in a first control voltage determining mode;
The first control voltage determination mode includes:
according to P3, P4 and each third signal characteristic, fourth signal characteristic P5 and fifth signal characteristic P6 are obtained; p5 > P3 and P5 is the third signal feature closest to P3 among the third signal features, P6 < P3, and P6 is the third signal feature closest to P3 among the third signal features;
acquiring a first change rate B1, a second change rate B2 and a third change rate B3 according to P3, P4, P5 and P6; b1 is obtained according to preset control voltages corresponding to P3 and P3, preset control voltages corresponding to P4 and P4, B2 is obtained according to preset control voltages corresponding to P4 and P4, preset control voltages corresponding to P5 and P5, and B3 is obtained according to preset control voltages corresponding to P5 and P5, preset control voltages corresponding to P6 and P6;
specifically, the B1 satisfies the following conditions: b1 = |p3-P4|/|vp3-VP4|, wherein VP3 is a preset control voltage corresponding to P3, VP4 is a preset control voltage corresponding to P4, and the calculation methods of B2 and B3 are the same as the calculation method of B1.
If b1=b2=b3, constructing a target feature function according to any one of the three; otherwise, S30011 is executed;
specifically, the objective feature function is a linear function, and the objective feature function meets the following conditions: y=kx, where y is the output signal characteristic, k is B1 or B2 or B3, and x is the control voltage.
P0 is brought into the objective feature function to obtain VH.
If at least two of B1, B2 and B3 are different from each other, acquiring a first critical control voltage GV1 and a second critical control voltage GV2 in V; GV 1-v1= |gv1-GV 2= |gv2-v2|, and GV1 < GV2;
the signal processing module sequentially takes GV1 and GV2 as the current control voltage of the signal processing auxiliary module to obtain an actual auxiliary signal corresponding to GV1 as a first key auxiliary signal and an actual auxiliary signal corresponding to GV2 as a second key auxiliary signal;
acquiring a first key change rate ZB1, a second key change rate ZB2 and a third key change rate ZB3 according to a first key signal feature GP1 corresponding to the first key auxiliary signal and a second key signal feature GP2 corresponding to the second key auxiliary signal; ZB1 is obtained according to signal characteristics Pv1, GV1 and GP1 corresponding to v1 and v1, ZB2 is obtained according to GV1, GP1, GV2 and GP2, and ZB3 is obtained according to signal characteristics Pv2 corresponding to GV2, GP2, v2 and v2;
specifically, the calculation methods of ZB1, ZB2, and ZB3 are the same as the calculation method of the first intermediate change rate.
Further, pv1 is a signal characteristic of an actual auxiliary signal output by the signal processing auxiliary module when the current control voltage is v 1; pv2 is the signal characteristic of the actual auxiliary signal output by the signal processing auxiliary module when the current control voltage is v 2.
If at least two of ZB1, ZB2 and ZB3 are different from each other, acquiring a specified control voltage as VH; the specified control voltage is the control voltage corresponding to the specified signal characteristic ZP, and ZP meets the following conditions: zp=min (|gp1-p0|, |gp2-p0|).
And acquiring the signal characteristic of an auxiliary signal output when the current input control voltage of the signal processing auxiliary module is a candidate voltage as a fifth intermediate signal characteristic WP.
If WP < P0, modifying v1 to VH;
if WP > P0, then v2 is modified to VH; and performs S320.
Compared with the other embodiment for acquiring the intermediate voltage, the candidate voltage calculated through the steps is smaller in the target control voltage range, and the target control voltage can be determined more quickly due to the fact that the target control voltage range is reduced, so that time efficiency is improved.
In order to overcome the problem of determining and reasonably storing feature vectors of monitoring signals corresponding to a plurality of SDR devices, a third embodiment of a monitoring method for a plurality of SDR devices is provided, as follows:
s10, taking a control voltage range which can be input by each signal processing auxiliary module corresponding to each SDR device as a key control voltage range.
And S20, controlling a signal processing module in each SDR device to sequentially take a plurality of key control voltages in a key control voltage range as the current control voltage of a signal processing auxiliary module so as to obtain key auxiliary signals corresponding to the plurality of key control voltages of each SDR device in the key control voltage range.
Specifically, the voltage difference between any two adjacent first critical control voltages is the same; further, the first key control voltages are arranged in order of small voltage to large voltage, the minimum first key control voltage is a first endpoint corresponding to the key control voltage range, and the maximum first key control voltage is a second endpoint corresponding to the key control voltage range; further, the second end point corresponding to the key control voltage range is larger than the first end point corresponding to the key control voltage range.
S30, generating a first key signal feature vector corresponding to each SDR device according to the signal features of a plurality of key auxiliary signals corresponding to each SDR device.
S40, classifying the plurality of first key signal feature vectors to obtain at least one first key signal feature vector group; the matching degree between any two first key signal feature vectors in the same first key signal feature vector group is larger than a preset key signal feature vector matching degree threshold value.
Specifically, the preset key signal feature vector matching degree threshold can be set by a person skilled in the art according to actual requirements, and will not be described herein.
In an exemplary embodiment of the present application, classifying a plurality of first key signal feature vectors to obtain at least one first key signal feature vector group includes:
and processing the first key signal feature vectors with the matching degree between any two first key signal feature vectors smaller than the matching degree threshold value of the preset key signal feature vectors in a preset clustering mode to obtain at least one first key signal feature vector group. .
Specifically, the preset clustering mode includes, but is not limited to, a mean shift clustering algorithm or a DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm.
In another exemplary embodiment of the present application, classifying a plurality of first key signal feature vectors to obtain at least one first key signal feature vector group includes:
if the matching degree between any two first key signal feature vectors is larger than the preset key signal feature vector matching degree threshold, only one first key signal feature vector group exists, and the current first key signal feature vector group comprises all first key signal feature vectors.
S50, carrying out fusion processing on the first key signal feature vectors in the same first key feature vector group to obtain key monitoring signal feature vectors corresponding to each first key signal feature vector group.
In an exemplary embodiment of the present application, the fusion process includes:
s51, acquiring an average value of signal characteristics of a plurality of first key signal characteristic vectors in the same key signal characteristic vector group under the same key control voltage as a second key signal characteristic;
s52, determining a second key signal feature vector as a key monitoring signal feature vector corresponding to each first key signal feature vector group according to a plurality of second key signal features corresponding to each key signal feature vector group.
And S60, monitoring each SDR device corresponding to the key monitoring signal feature vector through the key monitoring signal feature vector so as to determine whether the SDR device fails.
Specifically, it is determined whether the SDR device is malfunctioning by:
acquiring real-time signal feature vectors corresponding to SDR equipment at each set time interval;
and if the matching degree between the real-time signal feature vector and the key monitoring signal feature vector corresponding to the current SDR equipment is smaller than the preset key signal feature vector matching degree threshold value, outputting a fault alarm.
In an exemplary embodiment of the present application, if the number of the first key signal feature vector groups is 1, the key monitoring signal feature vector is obtained through a first processing method; and if the number of the first key signal feature vector groups is not 1, obtaining the key monitoring signal feature vector through a second processing method.
The first processing method comprises the following steps:
s41, acquiring a plurality of first key signal feature matching degrees; the first key signal feature matching degree is the matching degree between any two first key signal features.
S42, determining a first key signal characteristic matching degree mean value corresponding to each SDR device according to the plurality of first key signal characteristic matching degrees.
Specifically, the first key signal feature matching degree mean value FP corresponding to the z-th SDR device h Meets the following conditions: PF (physical filter) z =∑ H h=1 （F h z ) H, wherein F h z And the first key signal feature matching degree between the first key signal feature vector corresponding to the z-th SDR device and the first key signal feature vector corresponding to the h-th SDR device.
S43, acquiring SDR equipment corresponding to a second key signal characteristic matching degree mean value in the first key signal characteristic matching degree mean values as key SDR equipment; the second key signal characteristic matching degree average value is the largest first key signal characteristic matching degree average value in the first key signal characteristic matching degree average values.
S44, acquiring a first key signal feature vector corresponding to the key SDR equipment as a key monitoring signal feature vector.
Compared with another embodiment for acquiring the key monitoring vector, the embodiment does not need to fuse the vector, and improves time efficiency.
The first processing method comprises the following steps:
carrying out fusion processing on first key signal feature vectors in the same first key signal feature vector group to obtain corresponding key monitoring signal feature vectors of each key signal feature vector group;
monitoring each corresponding SDR device by using the key monitoring signal feature vector to determine whether the SDR device fails; and the SDR equipment corresponding to the key monitoring signal feature vector generates SDR equipment corresponding to each first key signal feature vector used by the current key monitoring signal feature vector.
In an exemplary embodiment of the present application, the SDR device failure detection model is obtained by:
s70, acquiring a plurality of historical key monitoring signal feature vectors corresponding to the target SDR equipment and an initial SDR equipment fault detection model; the historical key monitoring signal feature vectors are generated according to signal features of a third key auxiliary signal obtained by sequentially taking a plurality of key control voltages as current control voltages of a signal processing auxiliary module by a signal processing module in a control target SDR device every set time within a set time period, the time intervals of acquisition time corresponding to two adjacent historical key monitoring signal feature vectors are the same, and the target SDR device is any one of a plurality of SDR devices.
S80, taking each k historical key monitoring signal characteristic vectors in the plurality of historical key monitoring signal characteristic vectors as training sample data to obtain a plurality of training sample data; k > 2.
Specifically, any one of the training sample data is positive sample data or negative sample data.
In an exemplary embodiment of the present application, the acquiring training sample data according to a plurality of historical key monitoring signal feature vectors includes:
s81, taking the key monitoring signal characteristic vector corresponding to the target SDR equipment as a target monitoring signal characteristic vector;
s82, determining a result label corresponding to each historical key monitoring signal feature vector according to the target monitoring signal feature vector; the result tag is used for indicating whether the target SDR equipment has faults at the acquisition time of the corresponding historical key monitoring signal feature vector;
s83, traversing from the (N+1) th historical key monitoring signal feature vector;
s84, if the result label corresponding to the current historical key monitoring signal feature vector is a first label, and the result labels corresponding to the N previous historical key monitoring signal feature vectors which are adjacent in sequence are all the first labels, positive sample data are generated according to the current historical key monitoring signal feature vector and the N previous historical key monitoring signal feature vectors which are adjacent in sequence; wherein N is the number of preset vectors, and the first tag indicates that the target SDR device has no fault at the time of acquiring the corresponding historical key monitoring signal feature vector;
S85, if the result label corresponding to the current historical key monitoring signal feature vector is a second label and the result labels corresponding to the N previous historical key monitoring signal feature vectors which are adjacent in sequence are all first labels, negative sample data are generated according to the current historical key monitoring signal feature vector and the N previous historical key monitoring signal feature vectors which are adjacent in sequence; the second label indicates that the target SDR equipment has faults at the acquisition time of the corresponding historical key monitoring signal feature vector;
in the third embodiment, by the method, a plurality of first key signal feature vectors larger than a preset key signal feature vector matching degree threshold are divided into a group, and the first key signal feature vectors in the same group are fused to obtain key monitoring signal feature vectors of the group, and the plurality of SDR devices corresponding to the group all use the same key monitoring signal feature vector, so that the problem that the storage space of the current processor is occupied and the problem that the relation between the key monitoring signal feature vectors and the SDR devices corresponding to the key monitoring signal feature vectors is easily confused due to the fact that the processor needs to store the key monitoring signal feature vectors corresponding to the SDR devices when monitoring the plurality of SDR devices is avoided. And the continuous n+1 historical detection vectors are used as training sample data, the training sample data is divided into positive sample data and negative sample data, and an initial SDR equipment fault detection model is trained, so that the obtained trained SDR equipment fault detection model can predict the fault time of SDR equipment.
In another aspect of the present application, the first embodiment of the present application further provides a monitoring apparatus for a software defined radio device, where the apparatus is configured to implement the method for monitoring a software defined radio device. Referring to the schematic block diagram of the monitoring apparatus of the software defined radio shown in fig. 2, the setup monitoring apparatus 400 of the software defined radio comprises: the first control module 410, the determination module 420, the second control module 430, the acquisition module 440, and the determination module 450.
The first control module is used for controlling the signal processing module to sequentially take a plurality of first target control voltages in each sub-control voltage range as the current control voltage of the signal processing auxiliary module so as to obtain first target auxiliary signals corresponding to the plurality of first target control voltages in each sub-control voltage range;
the determining module is used for determining a signal characteristic change rate fluctuation value corresponding to each sub-control voltage range according to the signal characteristics of the first target auxiliary signals corresponding to a plurality of first target control voltages in each sub-control voltage range, and obtaining a signal characteristic change rate fluctuation value list; taking a sub-control voltage range corresponding to the maximum signal characteristic change rate fluctuation value in the signal characteristic change rate fluctuation value list as a target sub-control voltage range MV;
The second control module is used for controlling the signal processing module to sequentially take a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a second target auxiliary signal corresponding to each second target control voltage;
the acquisition module is used for setting time DeltaT at each interval, and the control signal processing module sequentially takes a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a third target auxiliary signal corresponding to each second target control voltage;
the judging module is used for generating a fault signal if the matching degree between the real-time signal feature vector and the monitoring signal feature vector is smaller than a preset signal feature matching degree threshold value; the real-time signal feature vector is generated according to the signal features of each third target auxiliary signal, and the monitoring signal feature vector is generated according to the signal features of each second target auxiliary signal.
In another aspect of the present application, the first embodiment of the present application further provides a non-transitory computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement the method provided in any of the previous embodiments.
In another aspect of the present application, the first embodiment of the present application also provides an electronic device comprising a processor and the aforementioned non-transitory computer-readable storage medium.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the present application may be implemented as a system, method, or program product. Accordingly, aspects of the present application may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device according to this embodiment of the present application. The electronic device is only one example and should not impose any limitation on the functionality and scope of use of the embodiments of the present application.
The electronic device is in the form of a general purpose computing device. Components of an electronic device may include, but are not limited to: the at least one processor, the at least one memory, and a bus connecting the various system components, including the memory and the processor.
Wherein the memory stores program code that is executable by the processor to cause the processor to perform steps according to various exemplary embodiments of the present application described in the above section of the "exemplary method" of the present specification.
The storage may include readable media in the form of volatile storage, such as Random Access Memory (RAM) and/or cache memory, and may further include Read Only Memory (ROM).
The storage may also include a program/utility having a set (at least one) of program modules including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The bus may be one or more of several types of bus structures including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.
The electronic device may also communicate with one or more external devices (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device, and/or with any device (e.g., router, modem, etc.) that enables the electronic device to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface. And, the electronic device may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through a network adapter. The network adapter communicates with other modules of the electronic device via a bus. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with an electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible implementations, the various aspects of the present application may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the present application as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described figures are only illustrative of the processes involved in the method according to exemplary embodiments of the present application, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims (10)

1. A method for monitoring a software defined radio, the software defined radio comprising a signal processing module and a signal processing auxiliary module; the signal processing module can process the received satellite signals according to the target auxiliary signals output by the signal processing auxiliary module;
The method comprises the following steps:
the control signal processing module sequentially takes a plurality of first target control voltages in each sub-control voltage range as the current control voltage of the signal processing auxiliary module so as to obtain first target auxiliary signals corresponding to the plurality of first target control voltages in each sub-control voltage range;
determining a signal characteristic change rate fluctuation value corresponding to each sub-control voltage range according to signal characteristics of a first target auxiliary signal corresponding to a plurality of first target control voltages in each sub-control voltage range, and obtaining a signal characteristic change rate fluctuation value list;
taking a sub-control voltage range corresponding to the maximum signal characteristic change rate fluctuation value in the signal characteristic change rate fluctuation value list as a target sub-control voltage range MV;
the control signal processing module sequentially takes a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a second target auxiliary signal corresponding to each second target control voltage;
setting time DeltaT at each interval, and sequentially taking a plurality of second target control voltages in the MV as current control voltages of the signal processing auxiliary module by the control signal processing module so as to obtain signal characteristics of a third target auxiliary signal corresponding to each second target control voltage;
If the matching degree between the real-time signal feature vector and the monitoring signal feature vector is smaller than a preset signal feature matching degree threshold value, generating a fault signal; the real-time signal feature vector is generated according to the signal features of each third target auxiliary signal, and the monitoring signal feature vector is generated according to the signal features of each second target auxiliary signal.
2. The method of claim 1, wherein the software defined radio further comprises a first signal feature reading module and a second signal feature reading module, wherein the first signal feature reading module and the second signal feature reading module are both connected with the signal processing auxiliary module, the first signal feature reading module and the second signal feature reading module are both used for reading signal features of a target auxiliary signal output by the signal processing auxiliary module, and the reading precision of the first signal feature reading module is greater than the reading precision of the second signal feature reading module;
the second target control voltage is obtained by:
determining a plurality of third target control voltage lists in the MV by setting different voltage value intervals for the MV; the third target control voltages in the third target control voltage list are arranged in order from small to large, the difference between two adjacent third target control voltages in the same third target control voltage list is the same, and each third target control voltage belongs to an MV;
The control signal processing module sequentially takes each third target control voltage as the current control voltage of the signal processing auxiliary module so as to obtain a fourth target auxiliary signal corresponding to each third target control voltage;
generating a third target characteristic signal vector and a fourth target characteristic signal vector corresponding to each third target control voltage list according to the third characteristic signal of each fourth target auxiliary signal and the fourth characteristic signal of each fourth target auxiliary signal in each third target control voltage list; the third characteristic signal of each fourth target auxiliary signal is output through the first signal characteristic reading module, and the fourth characteristic signal of each fourth target auxiliary signal is output through the second signal characteristic reading module;
and carrying out matching degree calculation processing on a third target characteristic signal vector and a fourth target characteristic signal vector corresponding to the same third target control voltage list, and determining a third target control voltage list with the highest matching degree of the third target characteristic signal vector and the fourth target characteristic signal vector as a second target control voltage list.
3. The method according to claim 2, wherein the signal characteristics of the second target auxiliary signal are read by a second signal characteristic reading module.
4. The method of claim 1, wherein the degree of matching between the real-time signal feature vector and the supervisory signal feature vector is obtained by:
taking the signal characteristics of each third target auxiliary signal as first appointed signal characteristics to obtain a first appointed signal characteristic list;
taking the signal characteristics of each second target auxiliary signal as second designated signal characteristics to obtain a second designated signal characteristic list;
sequentially comparing the first specified signal characteristics in the first specified signal characteristic list with the second specified signal characteristics in the second specified signal characteristic list to obtain the same number as the second specified signal characteristics in the first specified signal characteristic list as the key judgment number;
and taking the ratio of the key judgment quantity to the quantity of the first specified signal features in the first specified signal feature list as the matching degree between the real-time signal feature vector and the monitoring signal feature vector.
5. The method of claim 4, wherein comparing the first specified signal feature in the first specified signal feature list with the second specified signal feature in the second specified signal feature list in order to obtain the critical decision number comprises:
Starting a counter;
taking the first control voltage of a plurality of control voltages corresponding to the monitoring signal feature vector as a designated control voltage V 0 The method comprises the steps of carrying out a first treatment on the surface of the The control voltages corresponding to the monitoring signal feature vectors are arranged in the order from small to large;
entering a judging step;
the judging step comprises the following steps:
if V 0 The corresponding first appointed signal characteristic is the same as the second appointed signal characteristic, and the counter is increased by 1; otherwise, the counter is not changed;
if V 0 Acquiring V in a plurality of control voltages corresponding to the monitoring signal feature vector, wherein the V is not the last control voltage in the plurality of control voltages corresponding to the monitoring signal feature vector 0 As V 0 And enter the judging step again; otherwise, the number corresponding to the counter is used as the key judgment number.
6. The method of claim 2, wherein the first signal characteristic reading module is a frequency meter and the reference clock used by the first signal characteristic reading module is a rubidium clock.
7. The method according to claim 1, wherein the signal characteristic change rate fluctuation value corresponding to each sub-control voltage range is obtained by:
Determining a plurality of signal characteristic change rates corresponding to each sub-control voltage range according to the signal characteristics of the first target auxiliary signals corresponding to a plurality of first target control voltages in each sub-control voltage range;
and determining the fluctuation value of the signal characteristic change rate corresponding to each sub-control voltage range according to the plurality of signal characteristic change rates corresponding to each sub-control voltage range.
8. A monitoring apparatus for a software defined radio, the apparatus comprising:
the first control module is used for controlling the signal processing module to sequentially take a plurality of first target control voltages in each sub-control voltage range as the current control voltage of the signal processing auxiliary module so as to obtain first target auxiliary signals corresponding to the plurality of first target control voltages in each sub-control voltage range;
the determining module is used for determining a signal characteristic change rate fluctuation value corresponding to each sub-control voltage range according to the signal characteristics of the first target auxiliary signals corresponding to a plurality of first target control voltages in each sub-control voltage range, and obtaining a signal characteristic change rate fluctuation value list; taking a sub-control voltage range corresponding to the maximum signal characteristic change rate fluctuation value in the signal characteristic change rate fluctuation value list as a target sub-control voltage range MV;
The second control module is used for controlling the signal processing module to sequentially take a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a second target auxiliary signal corresponding to each second target control voltage;
the acquisition module is used for setting time DeltaT at each interval, and the control signal processing module sequentially takes a plurality of second target control voltages in the MV as the current control voltage of the signal processing auxiliary module so as to obtain the signal characteristics of a third target auxiliary signal corresponding to each second target control voltage;
the judging module is used for generating a fault signal if the matching degree between the real-time signal feature vector and the monitoring signal feature vector is smaller than a preset signal feature matching degree threshold value; the real-time signal feature vector is generated according to the signal features of each third target auxiliary signal, and the monitoring signal feature vector is generated according to the signal features of each second target auxiliary signal.
9. A non-transitory computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement the method of any one of claims 1-7.
10. An electronic device comprising a processor and the non-transitory computer readable storage medium of claim 9.
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