CN111049603A - Satellite signal strength detection method and device - Google Patents
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Abstract
The invention relates to a method and a device for detecting satellite signal strength. The satellite signal intensity detection method comprises the steps of carrying out digital filtering on a discrete digital sampling value sequence containing signal values of N frequency points according to preset filtering frequency and filtering bandwidth to obtain N signal value sequences corresponding to the N frequency points; summing each sequence of signal values to obtain N signal power reference values; and receiving a main value selection instruction, selecting one value of the N signal power reference values as a main value according to the main value selection instruction, using other signal power reference values as a calibration matrix, calibrating the main value according to the calibration matrix, and generating a calibrated signal power reference value. According to the satellite signal intensity detection method, the satellite signal intensity is obtained by carrying out digital analysis on the N signal value sequences corresponding to the N frequency points, so that 'false locking' can be prevented, and meanwhile, the influence of bottom noise on the satellite signal intensity is reduced.
Description
Technical Field
The invention relates to the technical field of electromagnetic wave detection, in particular to a satellite signal strength detection method and a satellite signal strength detection device.
Background
Reading the characteristic signal of the target satellite is a basic method for successfully acquiring the satellite by an automatic satellite antenna of a mobile satellite, such as an automatic and static communication antenna and a communication-in-motion antenna. The satellite alignment is performed based on the traffic carrier signal, which is the most direct scheme in theory.
In the current processing scheme of the service carrier signal, due to interference with other satellite signals having the same frequency signal to the satellite, the phenomenon of 'false locking' is easily caused, and meanwhile, the influence of the background noise on the satellite signal is too strong.
Disclosure of Invention
In view of the above, it is necessary to provide a method for detecting satellite signal strength.
A method of satellite signal strength detection, the method comprising:
according to preset filtering frequency and filtering bandwidth, carrying out digital filtering on a discrete digital sampling value sequence containing signal values of N frequency points to obtain N signal value sequences corresponding to the N frequency points;
summing each of the signal value sequences to obtain N signal power reference values;
receiving a main value selection instruction, selecting one value of the N signal power reference values as a main value according to the main value selection instruction, using other signal power reference values as a calibration matrix, calibrating the main value according to the calibration matrix, and generating a calibrated signal power reference value.
According to the satellite signal intensity detection method, the satellite signal intensity is obtained by carrying out digital analysis on the N signal value sequences corresponding to the N frequency points, so that 'false locking' can be prevented, and meanwhile, the influence of the bottom noise on the satellite signal intensity is reduced.
In one embodiment, before digitally filtering the discrete digital sample value sequence including the signal values of the N frequency points according to a preset filtering frequency and a preset filtering bandwidth, the method further includes:
and acquiring a filtering frequency and a filtering bandwidth setting instruction, and setting the filtering frequency and the filtering bandwidth according to the filtering frequency and the filtering bandwidth setting instruction.
Therefore, the filtering frequency and the filtering bandwidth can be set, and the filtering frequency and the filtering bandwidth can be flexibly adjusted to realize flexible filtering.
In one embodiment, the digitally filtering the discrete digital sample value sequence including the signal values of the N frequency points according to a preset filtering frequency and a preset filtering bandwidth includes:
generating a filtering sequence according to a preset filtering frequency and a filtering band frame;
and convolving the filtering sequence and the discrete digital sampling value sequence to obtain a signal sequence.
In this way, the filtering frequency and the filtering bandwidth which are in one-to-one correspondence with the N frequency points can be preset, and the N convolution sequences which are in one-to-one correspondence with the N frequency points are obtained according to the filtering sequences generated by the filtering frequency and the filtering bandwidth.
In one embodiment, before generating the filtering sequence according to the preset filtering frequency and the filtering band, the method further includes:
receiving a satellite signal containing N frequency points;
carrying out down-conversion on the satellite signal to obtain an intermediate frequency signal containing N frequency points;
filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal containing N frequency points as a sampled signal;
and sampling the sampled signals, digitizing the signals and obtaining a discrete digital sampling value sequence containing the signal values of the N frequency points.
In one embodiment, the sampling the sampled signal, digitizing the signal, and obtaining a discrete digital sample value sequence including a signal value sequence of N frequency points includes:
and performing band-pass sampling on the sampled signal, digitizing the signal, and obtaining a discrete digital sampling value sequence containing the signal values of N frequency points.
In one embodiment, the down-converting the satellite signal to obtain an intermediate frequency signal including N frequency points includes:
and performing down-conversion on the satellite signal by using a bottom signal down-conversion amplifier to obtain an intermediate frequency signal containing N frequency points.
In one embodiment, the filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal including N frequency point signals as a sampled signal includes:
and performing band-pass filtering on the intermediate frequency signals to obtain intermediate frequency signals containing N frequency point signals as sampled signals.
In one embodiment, the band-pass sampling the sampled signal, and digitizing the signal to obtain a discrete digital sample value sequence including signal values of N frequency points includes:
and performing band-pass sampling on the sampled signal by using an analog-to-digital converter (ADC) to obtain a discrete digital sampling value sequence containing signal values of N frequency points.
An apparatus for detecting satellite signal strength, the apparatus comprising:
the digital filtering module is used for carrying out digital filtering on the obtained discrete digital sampling value sequence containing the signal values of the N frequency points according to preset filtering frequency and filtering bandwidth to obtain N signal value sequences corresponding to the N frequency points;
the power reference value calculation module is used for summing each signal value sequence to obtain N signal power reference values;
and the power calibration calculation module receives a main value selection instruction and selects one value of the N signal power reference values as a main value according to the main value selection instruction, other power reference values are used as calibration matrixes, the main value is calibrated according to the calibration matrixes, and the calibrated signal power reference value is generated.
According to the satellite signal intensity detection device, the satellite signal intensity is obtained by carrying out digital analysis on the N signal value sequences corresponding to the N frequency points, so that 'false locking' can be prevented, and meanwhile, the influence of the background noise on the satellite signal intensity is reduced.
In one embodiment, the apparatus further comprises:
the signal acquisition module is used for receiving satellite signals containing N frequency points;
the down-conversion module is used for performing down-conversion on the satellite signal to obtain an intermediate frequency signal containing N frequency points;
the hardware filtering module is used for filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal containing N frequency points as a sampled signal;
and the analog-to-digital conversion module is used for sampling the sampled signal and digitizing the signal to obtain a discrete digital sampling value sequence containing the signal values of the N frequency points.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting satellite signal strength according to an embodiment;
fig. 2 is a schematic flowchart illustrating digital filtering of a discrete digital sample value sequence including signal values of N frequency points according to a preset filtering frequency and a preset filtering bandwidth in one embodiment;
FIG. 3 is a flow chart illustrating a process before generating a filtering sequence according to a predetermined filtering frequency and filtering bandwidth in one embodiment;
FIG. 4 is a block diagram of an apparatus for detecting satellite signal strength in accordance with one embodiment;
FIG. 5 is a block diagram of a satellite signal strength detection apparatus according to one embodiment;
FIG. 6 is a diagram of data changes in the digital filter module in one embodiment;
FIG. 7 is a diagram illustrating data changes in the power reference calculation module according to an embodiment;
FIG. 8 is a diagram illustrating data variations in the power calibration calculation module according to one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As shown in fig. 1, there is provided a method for detecting satellite signal strength, the method comprising:
step S102, according to preset filtering frequency and filtering bandwidth, digital filtering is carried out on a discrete digital sampling value sequence containing signal values of N frequency points, and N signal value sequences corresponding to the N frequency points are obtained.
In this embodiment, the discrete digital sampling value sequence x (N) including the signal values of N frequency points may be a discrete digital signal sequence obtained by processing a satellite signal including N frequency points, where each digital signal in the digital signal sequence is a signal value. The satellite signal may be a characteristic signal of a satellite in this embodiment. Reading the characteristic signals of the satellite is a basic method for successfully capturing the satellite by a mobile satellite automatic satellite antenna (an automatic moving and static communication antenna and a communication-in-motion antenna). The characteristic signals are generally: a satellite beacon signal, a satellite fixed carrier signal (e.g., a DVB signal), a target service carrier signal. Further, in this embodiment, the satellite signal may be a target service carrier signal including N frequency points.
Specifically, in this embodiment, digital filtering may be performed on the discrete digital sampling value sequence x (N) including the signal values of the N frequency points in the digital filtering module according to a preset filtering frequency and a preset filtering bandwidth, so as to obtain N signal value sequences y corresponding to the N frequency pointsi(n)(i＝1，2，3，4，…… N). Wherein each signal value sequence yi(N) (i ═ 1,2,3,4, … … N) each contain multiple signal values and correspond to a bin. In an alternative embodiment the signal value may be a level value. The digital filtering module may be a computer program with filtering according to a particular filtering frequency and filtering bandwidth. It should be noted that the capital "N" and the small "N" are not used in the same meaning, where "N" is a natural number greater than or equal to 2, and "N" is a variable.
In an alternative embodiment, the step is described with reference to beam number 4 in the middle star 16. Specifically, the middle satellite 16 satellite signal is down-converted and amplified to the L-band by the LNB. The spectrum allocation plan of the middle star 16 shows that the beam 4 contains 5 channels in total, and therefore the beam 4 can contain 5 signals. Each signal bandwidth is 74.5MHz, each signal bandwidth plus the guard signal is 75MHz, and when the total bandwidth of the beam 4 is calculated, the total bandwidth is calculated according to the bandwidth of 400MHz, that is, B is 0.4 GHz. And the frequency-reduced No. 4 wave beam corresponds to the central frequency point of the L wave band at 1.98 GHz. According to the band-pass sampling theorem, the sampling frequency F s needs to satisfy Fs ≧ 2(Fh + Fl)/(2n +1), Fs ≧ 2B. In this embodiment, Fh is 1.98+0.2 to 2.18GHz, Fl is 1.98-0.2 to 1.78GHz, B is 0.4GHz, and Fs satisfying the condition is 0.99GHz by enumerating an integer n. The ADC sampling rate Fs is set. And sampling the L-band signal to complete signal digitization, and generating a digital sequence, wherein the digital sequence is a discrete digital sampling value sequence x (N) containing the signal values of N frequency points. In this embodiment, the signal of the beam 4 includes 5 signals, and the central frequency points of the 5 signals are 1.842GHz, 1.917GHz, 1.992GHz, 2.067GHz, and 2.142GHz, respectively. The signal bandwidth is 75 MHz. Therefore, in this embodiment, the discrete digital sample value sequence including the signal values of N frequency points is the discrete digital sample value sequence x (N) including the signal values of 5 frequency points whose central frequency points are 1.842GHz, 1.917GHz, 1.992GHz, 2.067GHz, 2.142GHz, and the like, respectively.
As shown in fig. 6, in this embodiment, the discrete digital sample value sequence x (n) may be digitally filtered in the digital filtering module 402 according to a preset filtering frequency and a preset filtering bandwidth, and the digital filtering module 402 may beIs a computer program with filtering according to a specific filtering frequency and filtering bandwidth. Optionally, the central frequency point of the 5 frequency points is respectively used as the filtering frequency of the digital filtering module 402, and the filtering bandwidth of the digital filtering module 402 is 70, which is slightly less than the signal bandwidth, so that the influence of the impurity signal can be effectively eliminated. Filtering the discrete digital sampling value sequence x (n) according to a preset filtering frequency and a preset filtering bandwidth to obtain a first signal value sequence y1(n) a second sequence of signal values y2(n) a third sequence of signal values y3(n) a fourth sequence of signal values y4(n) and a fifth sequence of signal values y5And (n) 5 signal value sequences, wherein the 5 signal value sequences correspond to 5 frequency points with central frequency points of 1.842GHz, 1.917GHz, 1.992GHz, 2.067GHz, 2.142GHz and the like one by one.
And step S104, summing each signal value sequence to obtain N signal power reference values.
In the embodiment of the present application, the signal value sequence y may bei(N) (i ═ 1,2,3,4, … … N) as a signal power reference value. Specifically, the signal values in each signal value sequence may be summed by the power reference value calculation module to obtain N signal power reference values RSi(i＝1,2,3,4,5,……N)。
In an alternative embodiment, this step is described by taking beam number 4 in the above-mentioned middle star 16 as an example. In particular, first of all a first sequence of signal values y is used here1(n) to illustrate the process of summing the sequence of signal values. Suppose a first sequence of signal values y1(n) { y (1), y (2), y (3) }, then "y }1In (n) ", n is (1,2,3), y (1), y (2) and y (3) are signal values, and y corresponds to y1(1)＝y(1)，y1(2)＝y(2)，y1(3) Y (3). For the first signal value sequence y1(n) the sum may be RS1＝y(1)+y(2)+y(3)。
Thus, in the present embodiment, as shown in fig. 7, the first signal value sequence y in the above can be summed in the manner exemplified above1(n), second signal valueSequence y2(n) a third sequence of signal values y3(n) a fourth sequence of signal values y4(n) and a fifth sequence of signal values y5(n) the signal values are summed in the power reference value calculation module 404 to obtain the first signal power reference value RS1A second signal power reference value RS2The third signal power reference value RS3The fourth signal power reference value RS4And a fifth signal power reference value RS5. Signal power reference value RSiAnd a sequence of signal values yi(n) one-to-one correspondence, e.g. first signal power reference value RS1With the first sequence of signal values y1(N) corresponding to the power reference value RS of the second signal2And a second sequence of signal values y2(n) corresponding to the third signal power reference value RS3With a third sequence of signal values y3(n) corresponding, fourth signal power reference value RS4And a fourth sequence of signal values y4(N) corresponding, and a fifth signal power reference value RS5With a fifth sequence of signal values y5(n) corresponds to.
Step S106, receiving a main value selection instruction, and selecting N signal power reference values RS according to the main value selection instructioniAnd (i-1, 2,3,4,5, … … N) and using other signal power reference values as calibration matrixes, and calibrating the main values according to the calibration matrixes to generate calibrated signal power reference values.
In the embodiment of the present application, the main value selection instruction may be a radio signal or an electrical signal, or may be a setting operation, and when the main value selection instruction is the setting operation, the main value selection instruction may be received through a touch plane. After receiving the main value selection instruction, the N signal power reference values RS can be selected according to the main value selection instructioni(i ═ 1,2,3,4,5, … … N) a signal power reference value is selected as the main value, the other signal power reference values are used as calibration matrices, and the main value is calibrated according to the calibration matrices to generate a calibrated signal power reference value z. Specifically, the power reference value calculation module may receive a main value selection instruction, and select N signal power reference values RS according to the main value selection instructioni(i-1, 2,3,4,5, … … N) is a main value,and other signal power reference values are used as a calibration matrix, and the main value is calibrated according to the calibration matrix to generate a calibrated signal power reference value z. The power reference value calculation module may be an extended kalman filter EKF.
In an alternative embodiment, this step is described by taking beam number 4 in the above-mentioned middle star 16 as an example. Specifically, as shown in fig. 8, a main value selection instruction may be received by the power reference value calculation module 406, and the power reference value RS of the first signal is selected according to the main value selection instruction1A second signal power reference value RS2The third signal power reference value RS3The fourth signal power reference value RS4And a fifth signal power reference value PS5Selecting one signal power reference value as main value, and using other signal power reference values as calibration matrix, the main value can be RS1The calibration matrix may be
And calibrating the main value according to the calibration matrix to generate a calibrated signal power reference value z.
According to the satellite signal intensity detection method, the satellite signal intensity is obtained by carrying out digital analysis on the N signal value sequences corresponding to the N frequency points, so that 'false locking' can be prevented, and meanwhile, the influence of bottom noise on the satellite signal intensity is reduced.
In one embodiment, before digitally filtering the discrete digital sample value sequence including the signal values of the N frequency points according to the preset filtering frequency and the preset filtering bandwidth, the method further includes:
and acquiring a filtering frequency and filtering bandwidth setting instruction, and setting the filtering frequency and the filtering bandwidth according to the filtering frequency and filtering bandwidth setting instruction.
In the embodiment of the present application, the filtering frequency and the filtering bandwidth may be adjustable, and in particular, may be set by receiving a filtering frequency and filtering bandwidth setting instruction, where the filtering frequency and the filtering bandwidth setting instruction may be a radio signal carrying the filtering frequency and the filtering bandwidth, or may be an electrical signal carrying the filtering frequency and the filtering bandwidth. The filtering frequency and the filtering bandwidth setting instruction are obtained by receiving the radio signal or the electric signal. The filtering frequency and filtering bandwidth setting instruction can also be a setting operation of a user, and the setting operation can be received through a touch screen or a key to obtain the filtering frequency and filtering bandwidth setting instruction.
In the present embodiment, the filtering frequency and filtering bandwidth setting instruction are acquired and the filtering frequency and filtering bandwidth are set according to the filtering frequency and filtering bandwidth setting instruction. Therefore, the filtering frequency and the filtering bandwidth can be set, and the filtering frequency and the filtering bandwidth can be flexibly adjusted to realize flexible filtering.
In one embodiment, as shown in fig. 2, digitally filtering a discrete digital sample value sequence including signal values of N frequency points according to a preset filtering frequency and a preset filtering bandwidth includes:
step S202, generating a filtering sequence according to a preset filtering frequency and a filtering band frame.
In this embodiment of the present application, the filtering frequency and the filtering bandwidth corresponding to the N frequency points one to one may be preset to generate the filtering sequence fi(m) (i ═ 1,2,3,4,5, … … N). Specifically, each frequency point is respectively set with a filtering frequency and a filtering bandwidth corresponding to the frequency point, so as to generate a filtering sequence f corresponding to the N frequency points one by onei(m) (i ═ 1,2,3,4,5, … … N). Optionally, when a filtering frequency and a filtering bandwidth corresponding to each frequency point are respectively set for each frequency point, the filtering frequency may be a central frequency point of the frequency point, and the filtering bandwidth may be smaller than the bandwidth of the frequency point, so as to more thoroughly eliminate the influence of the impurity signal.
And step S204, convolving the filtering sequence with the discrete digital sampling value sequence to obtain a signal value sequence.
In the embodiment of the present application, each filtering sequence is convolved with a discrete digital sampling value sequence x (N) to perform filtering, so as to obtain a signal value sequence y corresponding to N frequency points one by onei(N) (i ═ 1,2,3,4,5, … … N). In particular, yi(n)＝x(n)*fi(N) (i ═ 1,2,3,4,5, … … N), where ═ is a convolutionAnd (4) a symbol.
In this way, the filtering frequency and the filtering bandwidth which are in one-to-one correspondence with the N frequency points can be preset, and filtering is performed according to the filtering sequence generated by the filtering frequency and the filtering bandwidth, so as to obtain N signal value sequences which are in one-to-one correspondence with the N frequency points. And flexible filtering is realized.
In one embodiment, as shown in fig. 3, before generating the filtering sequence according to the preset filtering frequency and filtering bandwidth, the method further includes:
step S302, receiving a satellite signal containing N frequency points.
In the embodiment of the present application, the satellite signal may be a characteristic signal of a satellite in this embodiment. Reading the characteristic signals of the satellite is a basic method for successfully capturing the satellite by a mobile satellite automatic satellite antenna (an automatic moving and static communication antenna and a communication-in-motion antenna). The characteristic signals are generally: a satellite beacon signal, a satellite fixed carrier signal (e.g., a DVB signal), a target service carrier signal. Further, in this embodiment, the satellite signal may be a service carrier signal including N frequency points.
Specifically, in the present embodiment, the satellite signal may be received through an antenna.
And step S304, carrying out down-conversion on the satellite signals to obtain intermediate frequency signals containing N frequency points.
In this embodiment, a frequency converter may be used to perform frequency conversion on a satellite signal including N frequency points input by an antenna, and down-convert the satellite signal into an intermediate frequency signal to obtain the intermediate frequency signal including N frequency points.
Step S306, filtering the intermediate frequency signal to obtain the filtered intermediate frequency signal containing N frequency points as the sampled signal.
In the embodiment of the application, a hardware filter may be used to filter the intermediate frequency signal, and remove the impurity signal, so as to obtain the filtered intermediate frequency signal including N frequency points as the sampled signal.
Step S308, sampling the sampled signal, digitizing the signal, and obtaining a discrete digital sampling value sequence containing the signal values of N frequency points.
In the embodiment of the present application, a sampled signal needs to be sampled, and the sampled signal is converted from an analog signal to digital signals to obtain discrete digital sampling values, where the discrete digital sampling values include signal values of N frequency points. And forming a discrete digital sampling value sequence containing the signal values of the N frequency points by discrete digital sampling values.
In one embodiment, sampling a sampled signal, digitizing the signal to obtain a sequence of discrete digital sample values comprising a sequence of signal values at N bins, comprises:
and performing band-pass sampling on the sampled signal, digitizing the signal, and obtaining a discrete digital sampling value sequence containing the signal values of N frequency points.
In one embodiment, down-converting a satellite signal to obtain an intermediate frequency signal including N frequency points includes:
and performing down-conversion on the satellite signal by using a bottom signal down-conversion amplifier to obtain an intermediate frequency signal containing N frequency points.
In one embodiment, the filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal including N frequency point signals as a sampled signal includes:
and performing band-pass filtering on the intermediate frequency signal to obtain the intermediate frequency signal containing the signal values of the N frequency points as a sampled signal.
In one embodiment, band-pass sampling a sampled signal, digitizing the signal, and obtaining a sequence of discrete digital sample values comprising signal values at N frequency points, comprises:
and performing band-pass sampling on the sampled signal by using an analog-to-digital converter (ADC) to obtain a discrete digital sampling value sequence containing signal values of N frequency points.
A satellite signal strength detection apparatus, the apparatus comprising:
a digital filtering module 402, configured to perform digital filtering on a discrete digital sampling value sequence including signal values of N frequency points according to a preset filtering frequency and a preset filtering bandwidth, so as to obtain N signal value sequences corresponding to the N frequency points;
a power reference value calculation module 404, configured to sum each signal value sequence to obtain N signal power reference values;
the power calibration calculation module 406 receives the main value selection instruction, selects one of the N signal power reference values as a main value according to the main value selection instruction, uses the other signal power reference values as a calibration matrix, calibrates the main value according to the calibration matrix, and generates a calibrated signal power reference value.
In the satellite signal strength detection device in the embodiment of the application, according to preset filtering frequency and filtering bandwidth, a discrete digital sampling value sequence containing signal values of N frequency points is subjected to digital filtering to obtain N signal value sequences corresponding to the N frequency points; summing each sequence of signal values to obtain N signal power reference values; and receiving a main value selection instruction, selecting one value of the N signal power reference values as a main value according to the main value selection instruction, using other signal power reference values as a calibration matrix, calibrating the main value according to the calibration matrix, and generating a calibrated signal power reference value. Therefore, the satellite signal intensity is obtained by carrying out digital analysis on the N signal value sequences corresponding to the N frequency points, so that 'false locking' can be prevented, and the influence of the background noise on the satellite signal intensity is reduced.
In one embodiment, the apparatus further includes:
a signal obtaining module 502, configured to receive a satellite signal including N frequency points;
a down-conversion module 504, configured to down-convert the satellite signal to obtain an intermediate frequency signal including N frequency points;
a hardware filtering module 506, configured to filter the intermediate frequency signal to obtain a filtered intermediate frequency signal including N frequency points as a sampled signal;
the analog-to-digital conversion module 508 samples the sampled signal, digitizes the signal, and obtains a discrete digital sampling value sequence including signal values of N frequency points.
In the satellite signal strength detection device in the embodiment of the application, a satellite signal containing N frequency points is received; carrying out down-conversion on the satellite signal to obtain an intermediate frequency signal containing N frequency points; filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal containing N frequency points as a sampled signal; sampling the sampled signal, digitizing the signal, and obtaining a discrete digital sampling value sequence containing the signal values of the N frequency points. According to preset filtering frequency and filtering bandwidth, carrying out digital filtering on a discrete digital sampling value sequence containing signal values of N frequency points to obtain N signal value sequences corresponding to the N frequency points; summing each sequence of signal values to obtain N signal power reference values; and receiving a main value selection instruction, selecting one value of the N signal power reference values as a main value according to the main value selection instruction, using other signal power reference values as a calibration matrix, calibrating the main value according to the calibration matrix, and generating a calibrated signal power reference value.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for detecting satellite signal strength, the method comprising:
according to preset filtering frequency and filtering bandwidth, carrying out digital filtering on a discrete digital sampling value sequence containing signal values of N frequency points to obtain N signal value sequences corresponding to the N frequency points;
summing each of the signal value sequences to obtain N signal power reference values;
receiving a main value selection instruction, selecting one value of the N signal power reference values as a main value according to the main value selection instruction, using other signal power reference values as a calibration matrix, calibrating the main value according to the calibration matrix, and generating a calibrated signal power reference value.
2. The method of claim 1, wherein before digitally filtering the sequence of discrete digital sample values containing signal values of N bins according to a preset filtering frequency and filtering bandwidth, the method further comprises:
and acquiring a filtering frequency and a filtering bandwidth setting instruction, and setting the filtering frequency and the filtering bandwidth according to the filtering frequency and the filtering bandwidth setting instruction.
3. The method according to claim 1 or 2, wherein the digitally filtering the sequence of discrete digital sample values containing signal values of N bins according to a preset filtering frequency and a preset filtering bandwidth comprises:
generating a filtering sequence according to a preset filtering frequency and a filtering band frame;
and convolving the filtering sequence and the discrete digital sampling value sequence to obtain a signal sequence.
4. The method of claim 1, wherein before generating the filtering sequence according to the preset filtering frequency and the filtering band, the method further comprises:
receiving a satellite signal containing N frequency points;
carrying out down-conversion on the satellite signal to obtain an intermediate frequency signal containing N frequency points;
filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal containing N frequency points as a sampled signal;
and sampling the sampled signals, digitizing the signals and obtaining a discrete digital sampling value sequence containing the signal values of the N frequency points.
5. The method of claim 4, wherein sampling the sampled signal and digitizing the signal to obtain a sequence of discrete digital sample values comprising a sequence of signal values at N bins, comprises:
and performing band-pass sampling on the sampled signal, digitizing the signal, and obtaining a discrete digital sampling value sequence containing the signal values of N frequency points.
6. The method according to claim 4, wherein the down-converting the satellite signal to obtain an intermediate frequency signal including N frequency points comprises:
and performing down-conversion on the satellite signal by using a bottom signal down-conversion amplifier to obtain an intermediate frequency signal containing N frequency points.
7. The method according to claim 4, wherein the filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal containing N frequency point signals as a sampled signal comprises:
and performing band-pass filtering on the intermediate frequency signals to obtain intermediate frequency signals containing N frequency point signals as sampled signals.
8. The method of claim 5, wherein the band-pass sampling the sampled signal, digitizing the signal, and obtaining a sequence of discrete digital sample values comprising signal values at N bins, comprises:
and performing band-pass sampling on the sampled signal by using an analog-to-digital converter (ADC) to obtain a discrete digital sampling value sequence containing signal values of N frequency points.
9. An apparatus for detecting satellite signal strength, the apparatus comprising:
the digital filtering module is used for digitally filtering a discrete digital sampling value sequence containing signal values of N frequency points according to preset filtering frequency and filtering bandwidth to obtain N signal value sequences corresponding to the N frequency points;
the power reference value calculation module is used for summing each signal value sequence to obtain N signal power reference values;
and the power calibration calculation module receives a main value selection instruction, selects one value of the N signal power reference values as a main value according to the main value selection instruction, takes other signal power reference values as a calibration matrix, calibrates the main value according to the calibration matrix, and generates a calibrated signal power reference value.
10. The apparatus of claim 8, further comprising:
the signal acquisition module is used for receiving satellite signals containing N frequency points;
the down-conversion module is used for performing down-conversion on the satellite signal to obtain an intermediate frequency signal containing N frequency points;
the hardware filtering module is used for filtering the intermediate frequency signal to obtain a filtered intermediate frequency signal containing N frequency points as a sampled signal;
and the analog-to-digital conversion module is used for sampling the sampled signal and digitizing the signal to obtain a discrete digital sampling value sequence containing the signal values of the N frequency points.
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