CN112821972B - 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 PDFInfo
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- H04H60/61—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
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- H04B17/30—Monitoring; Testing of propagation channels
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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 an initial effective frequency point signal and/or information of an initial ineffective frequency point signal; and sequentially carrying out secondary discrimination on each frequency point signal in the initial effective signal and/or the initial ineffective frequency point signal, wherein the secondary discrimination process for one frequency point signal comprises the following steps: acquiring a weight coefficient corresponding to parameter information of a preset type parameter in the information of the 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. The false channels existing after channel searching can be removed, and the listening quality of users is guaranteed.
Description
Technical Field
The present disclosure relates to the field of signal processing technologies, and in particular, to a method and apparatus for processing a frequency point signal, a terminal, and a storage medium.
Background
In the existing channel searching technology of the frequency modulation radio, the validity of the received radio signal is judged (namely, whether the received radio signal belongs to a real radio) and related parameters after demodulation and before demodulation are mainly utilized for screening.
These parameters mainly include: received signal strength, pilot energy of the received signal, frequency coverage offset of the received signal, etc. And screening the parameters, wherein the parameters are compared with a preset fixed channel searching threshold, if the parameters exceed the channel searching threshold, the channel is judged to be a true channel, and otherwise, the channel is judged to be a false channel. The threshold value is typically set by an empirical value. The set channel searching threshold value cannot completely cover the use scene of the FM equipment, so that the problem that part of scenes have false channels or the number of channels to be searched is less is caused. For example, before the fixed channel searching threshold is set, the FM device performs signal quality test in three regions A, B, C and sets a corresponding channel searching threshold according to the test data, however, after the FM device performs channel searching in region D, the FM device has the problem of false channels or less channel searching number. 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, a frequency point signal processing device, a terminal and a storage medium, wherein the frequency point signal processing method can sequentially perform secondary discrimination on each frequency point signal in an initial effective frequency point signal and an initial ineffective frequency point signal after channel searching and scanning. And through secondary discrimination, the frequency point signals which are misjudged in the initial screening result (the initial effective frequency point signals and the initial ineffective frequency point signals) after channel searching and scanning are subjected to effective type modification, so that at least false channels existing after channel searching can be removed, and the listening quality of users is ensured.
In a first aspect, an embodiment of the present application provides a method for processing a frequency point signal, including:
acquiring information of an initial effective frequency point signal and/or information of an initial ineffective frequency point signal; and sequentially carrying out secondary discrimination on each frequency point signal in the initial effective signal and/or the initial ineffective frequency point signal, wherein the secondary discrimination process for one frequency point signal comprises the following steps: acquiring a weight coefficient corresponding to parameter information of a preset type parameter in the information of the 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 the parameter information of the initial effective frequency point signal and/or the parameter information of the initial ineffective frequency point signal, the method further includes: responding to the user operation, and executing channel searching scanning; and carrying out initial screening on the frequency point signals obtained after channel searching and 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 parameter includes: 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 parameter and the weight value corresponding to the preset type 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 a section where the signal-to-noise ratio value is located in the target frequency point signal, C2 represents a weight coefficient of a section where the frequency offset value is located in the target frequency point signal, and C3 represents a weight coefficient of a section where the input power value is located in the target frequency point signal.
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 greater than the judging threshold value, determining that the target frequency point signal is misjudged to be an effective signal, and modifying the effective type of the target frequency point signal to be an ineffective frequency point signal; or if the target frequency point signal is the initial invalid frequency point signal, if the signal quality value is determined to be larger than the judging threshold value, determining that the target frequency point signal is misjudged to be an invalid signal, and modifying the valid type of the target frequency point signal to be a valid frequency point signal.
Further, after 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, the method further comprises:
acquiring the minimum value in the parameter information of the frequency point signal which is misjudged to be an invalid signal and does not meet the standard of the initial channel searching threshold value, and replacing the corresponding type parameter value in the initial channel searching threshold value with the minimum value; and obtaining the maximum value in the parameter information which is misjudged as the frequency point signal of the effective signal and does not meet the standard of the initial channel searching threshold value, replacing the corresponding type parameter value in the initial channel searching threshold value with 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 system comprises a processor and a memory for storing at least one instruction which when loaded and executed by the processor implements the frequency point signal processing method provided in the first aspect.
In an implementation manner, the frequency point signal processing device 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 a frequency point signal processing device provided in the second aspect.
In a fourth aspect, embodiments of the present application further provide a computer storage medium, where a computer program is stored, where the computer program when executed by a processor may implement the frequency point signal processing method provided in the first aspect.
Through the technical scheme, the secondary judgment can be carried out on each frequency point signal in the initial effective frequency point signal and the initial ineffective frequency point signal after channel searching and scanning in sequence. And through secondary discrimination, the frequency point signals which are misjudged in the initial screening result (the initial effective frequency point signals and the initial ineffective frequency point signals) after channel searching and scanning are subjected to effective type modification, so that at least false channels existing after channel searching can be removed, and the listening quality of users is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of a channel searching flow 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 diagram of a channel searching process according to another embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a frequency point signal processing device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. 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 be within the scope of the invention.
Fig. 1 is a schematic diagram 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 with a corresponding parameter value of each parameter exceeding the channel searching threshold of the frequency point signal is divided into effective frequency point signals, the rest is divided into ineffective frequency point signals, and when the channel searching threshold is not suitable for a current area where FM equipment is located, the problem of false channels exists.
In order to solve the above technical problems, 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 according to an embodiment of the present application, as shown in fig. 2, the method includes the following steps:
step 201: and acquiring information of the initial effective frequency point signals and/or information of the initial ineffective frequency point signals.
The initial effective frequency point signal and the initial ineffective frequency point signal are obtained by performing initial screening and dividing according to an initial channel searching threshold value in a channel searching and 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 the user equipment to control the user equipment to perform a search operation, and after completing the search, all the searched frequency point signals are filtered through an initial search threshold value and divided into an initial effective frequency point signal and an initial ineffective frequency point signal. In one implementation, only the effective frequency point signals may be obtained, and in the subsequent operation, only the secondary discrimination operation is performed on each frequency point signal in the effective frequency point signals. In another implementation, only the invalid frequency point signals may be acquired, and in the subsequent operation, only the secondary discrimination operation is performed on each of the invalid frequency point signals. In another implementation manner, the initial effective frequency point signal and the initial ineffective frequency point signal can be obtained simultaneously, and in the subsequent operation, the secondary discrimination operation is performed on each frequency point signal in the initial effective frequency point signal and the initial ineffective frequency point signal.
Step 202: and sequentially carrying out secondary discrimination on each frequency point signal in the initial effective signal and/or the initial ineffective frequency point signal.
The secondary discrimination process for 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 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 the effective type of the target frequency point signal according to a comparison result of the signal quality value and a judgment threshold value.
In the secondary discrimination process, the secondary discrimination is performed on each frequency point signal in the initial effective signal and the initial ineffective frequency point signal in turn, wherein parameter information of a preset type parameter in the target frequency point signal is obtained, and in one implementation manner, the preset type parameter includes a signal-to-noise ratio, a frequency offset and an input power. For example, the signal-to-noise ratio, frequency offset and input power of the currently processed target frequency point signal are shown in table one:
list one
| Signal to noise ratio | Frequency offset | Input power |
| 2db | 14Khz | -80db |
In one implementation manner, the corresponding weight value may be preset for the preset type parameter, and specifically, may be as shown in table two:
watch II
| 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, specifically, a signal-to-noise ratio parameter value a, may also be set for the interval where the specific parameter information of the preset type parameter is located 1 The weight coefficient corresponding to the interval is shown in the following table three:
watch III
Frequency offset parameter value B 1 The weight coefficient corresponding to the interval is shown in table four:
table four
Input power parameter value C 1 The weight coefficient corresponding to the interval is shown in a fifth table:
TABLE five
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, the input power is-80 db, and 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 a section where the signal-to-noise ratio value is located in the target frequency point signal, C2 represents a weight coefficient of a section where the frequency offset value is located in the target frequency point signal, and C3 represents a weight coefficient of a section where the input power value is located in the target frequency point signal.
Further, w1=0.5, w2=0.3, w3=0.2 can be determined according to the above table two.
Because the signal-to-noise ratio of the target frequency point signal is 2db, the frequency offset is 14khz, and the input power is-80 db, c1=1.5, c2=0.4 and c3=0.8 can be determined according to the table three, the table four and the table five. It is thus possible to determine the signal quality value q= (0.5×1.5) + (0.3×0.4) + (0.2×0.8) =1.03 of the currently processed target frequency point signal.
Further, the signal quality value Q of the calculated target frequency point signal is compared with a judgment threshold value to determine whether erroneous judgment occurs at the time of initial screening, wherein the judgment threshold value may be preset in advance, and may be preset to be judgment threshold value=1. Because the signal quality value Q (1.03) of the target frequency point signal is larger 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 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 calculation mode, 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 misjudged as an effective signal during initial screening, and further the effective type of the initial effective frequency point signal may be modified to be an ineffective signal, and the modified target frequency point signal may be divided into a list of ineffective frequency point signals. Specific operation steps are not described herein.
After the secondary discrimination 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 signals in the new effective frequency point signal list can be used as listening signals.
Fig. 3 is a schematic diagram of a channel searching flow provided in another embodiment of the present application, where as shown in fig. 3, the operation of the second discrimination may further include obtaining a minimum value in parameter information that does not meet the criterion of the initial channel searching threshold in the frequency point signal that is misjudged as an invalid signal, and replacing a corresponding type of parameter value in the initial channel searching threshold with the minimum value; and obtaining the maximum value in the parameter information which is misjudged as the frequency point signal of the effective signal and does not meet the standard of the initial channel searching threshold value, replacing the corresponding type parameter value in the initial channel searching threshold value with 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 A 0 、B 0 、C 0 、D 0 、E 0 …, in which the thresholds respectively correspond to respective types of parameters, e.g. A 0 Initial channel searching threshold value B for signal to noise ratio 0 C is the initial channel searching threshold value of frequency offset 0 Is the initial channel searching threshold value of the input power.
And in the initial screening stage, screening is carried out according to the initial channel searching threshold value, frequency point signals meeting the standard of each initial channel searching threshold value are divided into initial effective frequency point signals, and if at least one initial channel searching threshold value standard is not met, the corresponding frequency point signals are divided into initial ineffective frequency point signals.
In order to realize the self-adaptive adjustment of the channel searching scanning, the initial channel searching threshold list can be updated according to the parameter information (signal to noise ratio, frequency offset and input power) of the preset type parameter of the modified frequency point signal so as to obtain a new channel searching threshold list.
15 frequency point signals S are obtained in the channel searching and scanning stage 1 ～S 15 Wherein, 10 frequency point signals are judged to be initial effective signals through initial screening, the other 5 frequency point signals are judged to be initial ineffective signals, and 2 frequency point signals are identified through secondary discrimination operation (S 3 、S 6 ) Is misjudged as a valid signal, and also 2 frequency point signals are recognized (S 9 、S 11 ) Is misjudged as an invalid signal.
Further, a frequency point signal S is obtained 9 、S 11 Minimum value in parameter information which does not meet initial channel searching threshold value in signal-to-noise ratio, frequency deviation and input power, wherein frequency point signal S 9 、S 11 The parameter information which does not meet the initial channel searching threshold value is input power, and frequency point signals S are obtained 9 Input power and frequency bin signal S 11 The minimum value in the input power of (2) is compared to obtain a frequency point signal S 9 The input power of (2) is the minimum value, and then the frequency point signal S is used 9 The input power threshold in the initial search threshold is replaced to obtain a first initial search threshold.
Acquiring a frequency point signal S 3 、S 6 Maximum value in parameter information which does not meet initial channel searching threshold value in signal-to-noise ratio, frequency deviation and input power, wherein a frequency point signal S 3 、S 6 The parameter information which does not meet the initial channel searching threshold value is the signal to noise ratio, and the frequency is obtainedPoint signal S 3 Signal-to-noise ratio and frequency bin signal S 6 Obtaining a frequency point signal S according to the maximum value in the signal-to-noise ratio of (2) 6 The signal-to-noise ratio of (2) is maximum, and then the signal S is used as the frequency point signal 6 The signal-to-noise ratio of the initial channel searching threshold is replaced by an input power threshold in the initial channel searching threshold to obtain a second initial channel searching threshold, the second initial channel searching threshold is used as a new initial channel searching threshold, and the new initial channel searching threshold can be used as a screening condition of next channel searching scanning. Through the operation, the self-adaptive adjustment of the initial channel searching threshold value can be realized, the problem that the FM equipment in the region searches false channels is reduced or avoided after the self-adaptive adjustment is performed for a plurality of times, and the number of the searched true channels can be increased on the premise of ensuring the listening quality.
Fig. 4 is a schematic structural diagram of a frequency point signal processing apparatus according to an embodiment of the present application, as shown in fig. 4, the apparatus may include a processor 401 and a memory 402, where the memory 402 is configured to store at least one instruction, and the instruction is loaded and executed by the processor 401 to implement the frequency point signal processing method provided by the embodiments shown in fig. 2 and fig. 3.
In an implementation manner, the frequency point signal processing device 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 application further provides a computer storage medium, on which a computer program is stored, which when executed by a processor can be implemented to implement the frequency point signal processing method provided by the embodiments shown in fig. 2 and 3.
It should be noted that, the terminal according to the embodiment of the present invention may include an intelligent radio or other intelligent terminals with radio functions.
It will be appreciated 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 by the embodiment of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above 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, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (8)
1. A method for processing a frequency point signal, the method comprising:
acquiring information of an initial effective frequency point signal and/or information of an initial ineffective frequency point signal;
and sequentially carrying out secondary discrimination on each frequency point signal in the initial effective frequency point signal and/or the initial ineffective frequency point signal, wherein the secondary discrimination process for 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, wherein the target frequency point signal is the initial effective frequency point signal or the initial ineffective frequency point signal, and the preset type parameter comprises a signal-to-noise ratio, a frequency offset and input power;
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 and a weight value corresponding to the preset type parameter in the information of the target frequency point signal, wherein the weight value corresponding to the preset type parameter comprises a weight value of the signal-to-noise ratio, a weight value of the frequency offset and a weight value of the input power, the signal-to-noise ratio, the frequency offset and the input power are divided into a plurality of intervals based on the parameter values, and the weight coefficient corresponding to the parameter information of the preset type parameter comprises a weight coefficient value corresponding to the interval where each actual parameter value of the signal-to-noise ratio, the frequency offset and the input power is located; 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, further comprising, prior to said acquiring the parameter information of the initial significant frequency point signal and/or the parameter information of the initial significant frequency point signal:
responding to the user operation, and executing channel searching scanning;
and carrying out initial screening on the frequency point signals obtained after channel searching and 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 according to claim 1, 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 parameter and the weight value corresponding to the preset type parameter includes:
determining a 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, W3 represents a weight value of the input power, C1 represents a weight coefficient of a section where the signal-to-noise ratio value is located in the target frequency point signal, C2 represents a weight coefficient of a section where the frequency offset value is located in the target frequency point signal, and C3 represents a weight coefficient of a section where the input power value is located in the target frequency point signal.
4. The method of claim 2, wherein said modifying the effective type of the target frequency bin signal based on the comparison of the signal quality value to a decision threshold comprises:
if the target frequency point signal is the initial effective frequency point signal, if the signal quality value is not greater than the judging threshold value, determining that the target frequency point signal is misjudged to be an effective signal, and modifying the effective type of the target frequency point signal to be an ineffective frequency point signal; or alternatively
If the target frequency point signal is the initial invalid frequency point signal, if the signal quality value is determined to be larger than the judging threshold value, determining that the target frequency point signal is misjudged to be an invalid signal, and modifying the valid type of the target frequency point signal to be a valid frequency point signal.
5. The method of claim 4, further comprising, after modifying the effective type of the target frequency bin signal based on a comparison of the signal quality value to a decision threshold value:
acquiring the minimum value in the parameter information of the frequency point signal which is misjudged to be an invalid signal and does not meet the standard of the initial channel searching threshold value, and replacing the corresponding type parameter value in the initial channel searching threshold value with the minimum value; and
and obtaining the maximum value in the parameter information which is misjudged to be the frequency point signal of the effective signal and does not meet the standard of the initial channel searching threshold value, replacing the corresponding type parameter value in the initial channel searching threshold value with the maximum value, and taking the replaced new initial channel searching threshold value as the screening condition of the next channel searching scanning.
6. A frequency point signal processing apparatus, the apparatus comprising:
a processor and a memory for storing at least one instruction which, when loaded and executed by the processor, implements the frequency bin signal processing method according to any of claims 1-5.
7. A terminal, the terminal comprising: the frequency bin signal processing device of claim 6.
8. A computer storage medium having stored thereon a computer program, which when executed by a processor implements the frequency point signal processing method according to any of claims 1-5.
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