CN112821972A - Frequency point signal processing method and device, terminal and storage medium - Google Patents

Frequency point signal processing method and device, terminal and storage medium Download PDF

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CN112821972A
CN112821972A CN202011627039.8A CN202011627039A CN112821972A CN 112821972 A CN112821972 A CN 112821972A CN 202011627039 A CN202011627039 A CN 202011627039A CN 112821972 A CN112821972 A CN 112821972A
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李博
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Spreadtrum Communications Shanghai Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04HBROADCAST COMMUNICATION
    • H04H60/00Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/61Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
    • H04H60/65Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54 for using the result on users' side
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/336Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The embodiment of the application provides a frequency point signal processing method and device, a terminal and a storage medium, wherein the frequency point signal processing method comprises the following steps: acquiring information of initial effective frequency point signals and/or information of initial ineffective frequency point signals; and sequentially carrying out secondary judgment on each frequency point signal in the initial effective signal and/or the initial invalid frequency point signal, wherein the secondary judgment process of one frequency point signal comprises the following steps: acquiring a weight coefficient corresponding to parameter information of a preset type parameter in information of a target frequency point signal; determining a signal quality value of the target frequency point signal according to a weight coefficient corresponding to parameter information of a preset type parameter in the information of the target frequency point signal and a weight value corresponding to the preset type parameter; and modifying the effective type of the target frequency point signal according to the comparison result of the signal quality value and the judgment threshold value. False channels existing after channel searching can be removed, and the listening quality of a user is guaranteed.

Description

Frequency point signal processing method and device, terminal and storage medium
Technical Field
The present application relates to the field of signal processing technologies, and in particular, to a method and an apparatus for processing a frequency point signal, a terminal, and a storage medium.
Background
In the existing frequency modulation radio channel searching technology, the effectiveness judgment of the received radio station signal (namely whether the received radio station signal belongs to a real radio station) is mainly carried out by screening related parameters before and after demodulation of the radio station information.
These parameters mainly include: received signal strength, pilot energy of the received signal, frequency coverage offset of the received signal, etc. The parameters are screened mainly by comparing the parameters with a preset fixed channel searching threshold, and if the parameters exceed the channel searching threshold, the channel is judged to be a true channel, otherwise, the channel is judged to be a false channel. The threshold value is generally set by an empirical value. The set channel searching threshold value cannot completely cover the use scene of the FM equipment, and the problem that the number of false channels or channels is small in part of the scene can be caused. For example, before the FM device sets the fixed channel search threshold, signal quality tests are performed in A, B, C three areas, and corresponding channel search thresholds are set according to the test data, but after the FM device performs channel search in the D area, there is a problem that the number of false channels or channels is too small. In the above case, the fixed search threshold cannot be modified by the user.
Disclosure of Invention
The embodiment of the application provides a frequency point signal processing method and device, a terminal and a storage medium, wherein the frequency point signal processing method can be used for sequentially carrying out secondary judgment on each frequency point signal in an initial effective frequency point signal and an initial ineffective frequency point signal after channel searching scanning. The frequency point signals which are misjudged in the initial screening results (the initial effective frequency point signals and the initial invalid frequency point signals) after channel searching scanning are subjected to effective type modification through secondary judgment, so that false channels existing after channel searching can be eliminated at least, and the listening quality of a user is ensured.
In a first aspect, an embodiment of the present application provides a frequency point signal processing method, including:
acquiring information of initial effective frequency point signals and/or information of initial ineffective frequency point signals; and sequentially carrying out secondary judgment on each frequency point signal in the initial effective signal and/or the initial invalid frequency point signal, wherein the secondary judgment process of one frequency point signal comprises the following steps: acquiring a weight coefficient corresponding to parameter information of a preset type parameter in information of a target frequency point signal; determining a signal quality value of the target frequency point signal according to a weight coefficient corresponding to parameter information of a preset type parameter in the information of the target frequency point signal and a weight value corresponding to the preset type parameter; and modifying the effective type of the target frequency point signal according to the comparison result of the signal quality value and the judgment threshold value.
Further, before the acquiring parameter information of the initial effective frequency point signal and/or parameter information of the initial ineffective frequency point signal, the method further includes: responding to user operation, and executing channel searching scanning; and initially screening frequency point signals obtained after channel searching scanning according to an initial channel searching threshold value, and dividing the frequency point signals into the initial effective frequency point signals and the initial ineffective frequency point signals.
Further, the preset type parameters include: signal-to-noise ratio, frequency offset, and input power.
Further, the determining the signal quality value of the target frequency point signal according to the weight coefficient corresponding to the parameter information of the preset type of parameter and the weight value corresponding to the preset type of parameter includes determining the signal quality value of the target frequency point signal according to the following formula:
Q=(W1*C1)+(W2*C2)+(W3*C3)
wherein Q represents a signal quality value of the target frequency point signal, W1 represents a weight value of the signal-to-noise ratio, W2 represents a weight value of the frequency offset, W1 represents a weight value of the input power, C1 represents a weight coefficient of an interval in which a signal-to-noise ratio value in the target frequency point signal is located, C2 represents a weight coefficient of an interval in which an intermediate frequency offset value in the target frequency point signal is located, and C3 represents a weight coefficient of an interval in which an input power value in the target frequency point signal is located.
Further, the modifying the effective type of the target frequency point signal according to the comparison result of the signal quality value and the judgment threshold value includes: if the target frequency point signal is the initial effective frequency point signal, if the signal quality value is not larger than the judgment threshold value, the target frequency point signal is determined to be an effective signal by mistake, and the effective type of the target frequency point signal is modified into an invalid frequency point signal; or if the target frequency point signal is the initial invalid frequency point signal, if the signal quality value is larger than the judgment threshold value, determining that the target frequency point signal is misjudged as an invalid signal, and modifying the effective type of the target frequency point signal into an effective frequency point signal.
Further, after modifying the effective type of the target frequency point signal according to the comparison result between the signal quality value and the judgment threshold, the method further includes:
acquiring the minimum value in the parameter information which does not meet the standard of the initial channel searching threshold value in the frequency point signals which are judged as invalid signals by mistake, and replacing the corresponding type parameter value in the initial channel searching threshold value by the minimum value; and acquiring the maximum value in the parameter information which does not meet the standard of the initial channel searching threshold value in the frequency point signals which are judged as effective signals by mistake, replacing the corresponding type parameter value in the initial channel searching threshold value by the maximum value, and taking the replaced new initial channel searching threshold value as the screening condition of the next channel searching scanning.
In a second aspect, an embodiment of the present application provides a frequency point signal processing apparatus, including:
the frequency point signal processing method comprises a processor and a memory, wherein the memory is used for storing at least one instruction, and the instruction is loaded by the processor and executed to realize the frequency point signal processing method provided by the first aspect.
In an implementation manner, the frequency point signal processing apparatus may be a chip.
In a third aspect, an embodiment of the present application provides a terminal, where the terminal includes a terminal body and the frequency point signal processing apparatus provided in the second aspect.
In a fourth aspect, an embodiment of the present application further provides a computer storage medium, on which a computer program is stored, where the computer program, when executed by a processor, can implement the frequency point signal processing method provided in the first aspect.
By the technical scheme, each frequency point signal in the initial effective frequency point signals and the initial ineffective frequency point signals after channel searching scanning can be sequentially subjected to secondary judgment. The frequency point signals which are misjudged in the initial screening results (the initial effective frequency point signals and the initial invalid frequency point signals) after channel searching scanning are subjected to effective type modification through secondary judgment, so that false channels existing after channel searching can be eliminated at least, and the listening quality of a user is ensured.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a channel searching process in the prior art;
fig. 2 is a flowchart of a frequency point signal processing method according to an embodiment of the present application;
FIG. 3 is a schematic view of a channel searching process according to another embodiment of the present application;
fig. 4 is a schematic structural diagram of a frequency point signal processing apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic view of a channel searching process in the prior art, as shown in fig. 1, in a channel searching scanning stage, parameters of a searched frequency point signal are compared with a preset fixed channel searching threshold, a frequency point signal in which a corresponding parameter value of each parameter of the frequency point signal exceeds the channel searching threshold is divided into an effective frequency point signal, the rest are divided into invalid frequency point signals, and when the channel searching threshold is not applicable to a current region where FM equipment is located, a problem of false channels exists.
In order to solve the foregoing technical problem, an embodiment of the present application provides a method for processing a frequency point signal, and fig. 2 is a schematic flow chart of the method for processing a frequency point provided in the embodiment of the present application, and as shown in fig. 2, the method includes the following steps:
step 201: and acquiring the information of the initial effective frequency point signals and/or the information of the initial ineffective frequency point signals.
The information of the initial effective frequency point signal and the initial invalid frequency point signal is obtained by initially screening and dividing according to an initial channel searching threshold value in a channel searching scanning stage. Specifically, in response to a user operation, an operation of channel search scanning is performed. For example, a user clicks a "search" button on user equipment to control the user equipment to perform channel search scanning operation, and after the search is completed, all searched frequency point signals are screened according to an initial channel search threshold value and divided into initial effective frequency point signals and initial ineffective frequency point signals. In one implementation, only the effective frequency point signals may be obtained, and only the secondary discrimination operation is performed on each frequency point signal in the effective frequency point signals in the subsequent operation. In another implementation manner, only the invalid frequency point signals may be acquired, and only the secondary discrimination operation is performed on each frequency point signal in the invalid frequency point signals in the subsequent operation. In another implementation mode, the initial effective frequency point signals and the initial invalid frequency point signals can be obtained simultaneously, and secondary discrimination operation is performed on each frequency point signal in the initial effective frequency point signals and the initial invalid frequency point signals in subsequent operation.
Step 202: and sequentially carrying out secondary judgment on each frequency point signal in the initial effective signal and/or the initial invalid frequency point signal.
The secondary discrimination process of a frequency point signal comprises the following steps: the method comprises the steps of obtaining a weight coefficient corresponding to parameter information of a preset type parameter in information of a target frequency point signal, determining a signal quality value of the target frequency point signal according to the weight coefficient corresponding to the parameter information of the preset type parameter in the information of the target frequency point signal and a weight value corresponding to the preset type parameter, and modifying an effective type of the target frequency point signal according to a comparison result of the signal quality value and a judgment threshold.
In the secondary discrimination process, the secondary discrimination of each frequency point signal in the initial effective signal and the initial invalid frequency point signal is taken as an example, wherein parameter information of preset type parameters in the target frequency point signal is obtained, and in an implementation manner, the preset type parameters include a signal-to-noise ratio, a frequency offset and an input power. For example, the signal-to-noise ratio, frequency offset and input power corresponding parameter values of the currently processed target frequency point signal are shown in table one:
watch 1
Signal to noise ratio Frequency offset Input power
2db 14Khz -80db
In an implementation manner, a corresponding weight value may be set in advance for the preset type parameter, and specifically, as shown in table two:
watch two
Signal to noise ratio weight value Frequency offset weight value Input power weight value
0.5 0.3 0.2
Further, a corresponding weight coefficient may be set for an interval where the specific parameter information of the preset type parameter is located, specifically, the signal-to-noise ratio parameter value a1The weighting coefficients corresponding to the located intervals are shown in table three:
watch III
Figure BDA0002879417440000041
Frequency offset parameter value B1The weighting coefficients corresponding to the located intervals are shown in table four:
watch four
Figure BDA0002879417440000042
Input power parameter value C1The weighting coefficients corresponding to the located intervals are shown in table five:
watch five
Figure BDA0002879417440000043
For example, the currently processed target frequency point signal is an initial invalid frequency point signal, the signal-to-noise ratio of the initial invalid frequency point signal is 2db, the frequency offset is 14khz, and the input power is-80 db, so that the signal quality value of the target frequency point signal can be determined according to the following formula:
Q=(W1*C1)+(W2*C2)+(W3*C3)
wherein Q represents a signal quality value of the target frequency point signal, W1 represents a weight value of the signal-to-noise ratio, W2 represents a weight value of the frequency offset, W1 represents a weight value of the input power, C1 represents a weight coefficient of an interval in which a signal-to-noise ratio value in the target frequency point signal is located, C2 represents a weight coefficient of an interval in which an intermediate frequency offset value in the target frequency point signal is located, and C3 represents a weight coefficient of an interval in which an input power value in the target frequency point signal is located.
Further, W1 ═ 0.5, W2 ═ 0.3, and W3 ═ 0.2 can be determined according to table two above.
Since the snr of the target frequency point signal is 2db, the frequency offset is 14khz, and the input power is-80 db, it can be determined from table three, table four, and table five that C1 is 1.5, C2 is 0.4, and C3 is 0.8. Therefore, the signal quality value Q of the currently processed target frequency bin signal may be determined to be (0.5 × 1.5) + (0.3 × 0.4) + (0.2 × 0.8) ═ 1.03.
Further, the calculated signal quality value Q of the target frequency point signal is compared with a judgment threshold to determine whether a misjudgment occurs during the initial screening, wherein the judgment threshold may be preset in advance, and may be preset as a judgment threshold of 1. Because the signal quality value Q (1.03) of the currently processed target frequency point signal is greater than the judgment threshold value (1), the target frequency point signal can be determined to be misjudged as an invalid signal during initial screening, the effective type of the initial invalid frequency point signal can be further modified into an effective signal, and the modified target frequency point signal is divided into a list of effective frequency point signals.
In this embodiment, if the currently processed target frequency point signal is an initial effective signal, and the signal quality value Q of the target frequency point signal is calculated according to the above calculation manner, if the calculated signal quality value Q is not greater than the judgment threshold, it may be determined that the currently processed target frequency point signal is erroneously determined as an effective signal during initial screening, and then the effective type of the initial effective frequency point signal may be modified into an invalid signal, and the modified target frequency point signal is divided into a list of invalid frequency point signals. The detailed operation steps are not described herein.
After the secondary judgment operation is completed on all the initial effective frequency point signals and each frequency point signal in the initial wireless frequency point signals, a new invalid frequency point signal list and a new effective frequency point signal list are obtained, and further, the corresponding signal in the new effective frequency point signal list can be used as a listening signal.
Fig. 3 is a schematic view of a channel searching process provided in another embodiment of the present application, and as shown in fig. 3, the operation of the secondary judgment may further include obtaining a minimum value in parameter information that does not satisfy the criterion of the initial channel searching threshold in the frequency point signals that are erroneously judged as invalid signals, and replacing a corresponding type parameter value in the initial channel searching threshold with the minimum value; and acquiring the maximum value in the parameter information which does not meet the standard of the initial channel searching threshold value in the frequency point signals which are judged as effective signals by mistake, replacing the corresponding type parameter value in the initial channel searching threshold value by the maximum value, and taking the replaced new initial channel searching threshold value as the screening condition of the next channel searching scanning.
For example, the initial search threshold includes A0、B0、C0、D0、E0…, wherein each threshold corresponds to a respective type of parameter, e.g. A0Initial channel search threshold, B, for signal-to-noise ratio0Initial channel search threshold, C, for frequency offset0Is the initial search threshold for the input power.
And in the initial screening stage, screening according to the initial channel searching threshold value to divide the frequency point signals meeting the threshold value standard of each initial channel searching into initial effective frequency point signals, and if at least one of the initial channel searching threshold value standards is not met, dividing the corresponding frequency point signals into initial ineffective frequency point signals.
In order to realize the adaptive adjustment of the channel searching scanning, the initial channel searching threshold list can be updated according to the modified parameter information (signal to noise ratio, frequency offset and input power) of the preset type parameters of the frequency point signals so as to obtain a new channel searching threshold list.
Acquiring 15 frequency point signals S in a channel searching scanning stage1~S15Wherein 10 frequency point signals are judged as initial effective signals after initial screening, the other 5 frequency point signals are judged as initial ineffective signals, and 2 frequency point signals are identified through secondary judgment operation (S)3、S6) Is misjudged as a valid signal, and 2 more signals are identifiedFrequency point signal (S)9、S11) Is erroneously determined as an invalid signal.
Further, frequency point signal S is obtained9、S11The minimum value of the parameter information which does not meet the initial channel searching threshold value in the signal-to-noise ratio, the frequency offset and the input power, wherein the frequency point signal S9、S11The parameter information which does not meet the initial channel searching threshold value is input power, and then the frequency point signal S is obtained9Input power and frequency point signal S11According to the comparison, the frequency point signal S is obtained9Is the minimum value, and further uses the frequency point signal S9The input power replaces the input power threshold in the initial channel searching threshold to obtain a first initial channel searching threshold.
Acquiring frequency point signal S3、S6The maximum value of the parameter information which does not meet the initial channel searching threshold value in the signal-to-noise ratio, the frequency deviation and the input power, wherein the frequency point signal S3、S6The parameter information which does not meet the initial channel searching threshold value in the channel searching process is the signal to noise ratio, and then the frequency point signal S is obtained3S signal to noise ratio and frequency point signal S6According to the maximum value in the signal-to-noise ratio, the frequency point signal S is obtained by comparison6Is the maximum value, and further uses the frequency point signal S6The signal-to-noise ratio of the search threshold value is substituted for the input power threshold value in the initial search threshold value to obtain a second initial search threshold value, the second initial search threshold value is used as a new initial search threshold value, and then the new initial search threshold value can be used as a screening condition for next search scanning. By the operation, the adaptive adjustment of the initial channel searching threshold value can be realized, the problem that false channels are searched after the FM equipment in the area is subjected to multiple adaptive adjustments is reduced or avoided, and the number of searched true channels can be increased on the premise of ensuring the listening quality.
Fig. 4 is a schematic structural diagram of a frequency bin signal processing apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus may include a processor 401 and a memory 402, where the memory 402 is used to store at least one instruction, and the instruction is loaded and executed by the processor 401 to implement the frequency bin signal processing method according to the embodiment shown in fig. 2 and fig. 3.
In an implementation manner, the frequency point signal processing apparatus may be a chip.
The embodiment of the application provides a terminal, which comprises a terminal body and the frequency point signal processing device (chip).
The embodiment of the present application further provides a computer storage medium, on which a computer program is stored, and when being executed by a processor, the computer program can be implemented to implement the frequency point signal processing method provided in the embodiments shown in fig. 2 and fig. 3.
It should be noted that the terminal involved in the embodiment of the present invention may include an intelligent radio or other intelligent terminals with radio functions.
It should be understood that the application may be an application program (native app) installed on the terminal, or may also be a web page program (webApp) of a browser on the terminal, which is not limited in this embodiment of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A frequency point signal processing method is characterized by comprising the following steps:
acquiring information of initial effective frequency point signals and/or information of initial ineffective frequency point signals;
and sequentially carrying out secondary judgment on each frequency point signal in the initial effective signal and/or the initial invalid frequency point signal, wherein the secondary judgment process of one frequency point signal comprises the following steps:
acquiring a weight coefficient corresponding to parameter information of a preset type parameter in information of a target frequency point signal;
determining a signal quality value of the target frequency point signal according to a weight coefficient corresponding to parameter information of a preset type parameter in the information of the target frequency point signal and a weight value corresponding to the preset type parameter; and
and modifying the effective type of the target frequency point signal according to the comparison result of the signal quality value and the judgment threshold value.
2. The method according to claim 1, before the obtaining parameter information of initial valid frequency point signals and/or parameter information of initial invalid frequency point signals, further comprising:
responding to user operation, and executing channel searching scanning;
and initially screening frequency point signals obtained after channel searching scanning according to an initial channel searching threshold value, and dividing the frequency point signals into the initial effective frequency point signals and the initial ineffective frequency point signals.
3. The method of claim 1, wherein the preset type parameters comprise:
signal-to-noise ratio, frequency offset, and input power.
4. The method according to claim 3, wherein the determining the signal quality value of the target frequency point signal according to the weight coefficient corresponding to the parameter information of the preset type of parameter and the weight value corresponding to the preset type of parameter includes:
determining the signal quality value of the target frequency point signal according to the following formula:
Q=(W1*C1)+(W2*C2)+(W3*C3)
wherein Q represents a signal quality value of the target frequency point signal, W1 represents a weight value of the signal-to-noise ratio, W2 represents a weight value of the frequency offset, W1 represents a weight value of the input power, C1 represents a weight coefficient of an interval in which a signal-to-noise ratio value in the target frequency point signal is located, C2 represents a weight coefficient of an interval in which an intermediate frequency offset value in the target frequency point signal is located, and C3 represents a weight coefficient of an interval in which an input power value in the target frequency point signal is located.
5. The method according to claim 2, wherein the modifying the effective type of the target frequency point signal according to the comparison result of the signal quality value and the judgment threshold comprises:
if the target frequency point signal is the initial effective frequency point signal, if the signal quality value is not larger than the judgment threshold value, the target frequency point signal is determined to be an effective signal by mistake, and the effective type of the target frequency point signal is modified into an invalid frequency point signal; or
If the target frequency point signal is the initial invalid frequency point signal, if the signal quality value is larger than the judgment threshold value, the target frequency point signal is determined to be erroneously judged as an invalid signal, and the effective type of the target frequency point signal is modified into an effective frequency point signal.
6. The method according to claim 5, further comprising, after modifying the effective type of the target frequency point signal according to the comparison result between the signal quality value and the judgment threshold value:
acquiring the minimum value in the parameter information which does not meet the standard of the initial channel searching threshold value in the frequency point signals which are judged as invalid signals by mistake, and replacing the corresponding type parameter value in the initial channel searching threshold value by the minimum value; and
and acquiring the maximum value in the parameter information which does not meet the standard of the initial channel searching threshold value in the frequency point signals which are judged as effective signals by mistake, replacing the corresponding type parameter value in the initial channel searching threshold value by the maximum value, and taking the replaced new initial channel searching threshold value as the screening condition of the next channel searching scanning.
7. A frequency point signal processing apparatus, comprising:
a processor and a memory for storing at least one instruction which when loaded and executed by the processor is to implement the frequency bin signal processing method of any one of claims 1 to 6.
8. A terminal, characterized in that the terminal comprises: the frequency bin signal processing device of claim 7.
9. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the frequency bin signal processing method of any of claims 1-6.
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