CN105678256B - Signal processing method, signal processing device and signal processing system - Google Patents
Signal processing method, signal processing device and signal processing system Download PDFInfo
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Abstract
The invention discloses a signal processing method for signal classification, which comprises the following steps: providing a plurality of nodes and controlling the plurality of nodes to receive input signals; comparing the input signal with sample signals to calculate a similarity value of each node, calculating a global similarity value according to the similarity value of each node, and providing a plurality of sample signals to calculate a plurality of global similarity values corresponding to the sample signals one to one; and judging the sample signal which is most similar to the input signal according to the global similarity value so as to determine the type of the input signal. The signal processing method provided by the embodiment of the invention processes and judges a plurality of global nodes, and finally obtains the type of the input signal received by the global nodes. The type of the input signal is judged by adopting a multi-node cooperative processing method, so that the accuracy of signal classification is improved. The invention also discloses a signal processing device and a signal processing system.
Description
Technical field
The present invention relates to field of signal processing, in particular to a kind of signal processing method and signal processing apparatus.
Background technique
Modulation recognition detection refers to by extracting the useful information received in signal, to reach the classification of confirmation input signal
Or the purpose of mode.Cognitive radio, sensor network, image procossing, pattern-recognition, voice signal identification, fingerprint recognition,
Many fields such as seismic signal analysis, Radar Signal Detection and medical diagnosis have been directed to Modulation recognition detection.However, according to
When conventional algorithm carries out Modulation recognition, has greater probability and judge by accident.
Summary of the invention
The present invention is directed at least solve one of the technical problems existing in the prior art.
The main purpose of the present invention is to provide a kind of signal processing methods, it is intended to improve the accuracy rate of Modulation recognition.
Embodiment of the present invention provides a kind of signal processing method, and the signal processing method includes:
Rate-determining steps provide multiple nodes and control the multiple node reception input signal；
The input signal is calculated the similar value of each node by comparison step compared with sample signal, is provided each
The global weight of the node and the overall situation similar value according to the global weight calculation, provide a variety of sample signals with
It calculates and the one-to-one multiple global similar values of the sample signal, the calculation formula of global similar value are as follows:
Wherein, i is positive integer and the species number for being less than or equal to the sample signal, and k is positive integer and is less than or equal to described
The number K, G of nodeiFor the corresponding global similar value of i-th kind of sample signal, ωi,kFor the described complete of k-th node
Office's weight, Ti (k)For the similar value of k-th of node；And
Judgment step judges the sample signal most like with the input signal with true according to the global similar value
The type of the fixed input signal.
In this way, the processing by the input signal to global each node obtains global similar value to the input signal
Type judged, improve the accuracy rate of input signal classification.
Embodiment of the present invention additionally provides a kind of signal processing apparatus, is used for Modulation recognition, the signal processing apparatus
Include:
Receiving module, the receiving module include multiple nodes；
Control module, the control module receive input signal for controlling the multiple node；
Generation module, the generation module is for generating a variety of sample signals；And
Processing module, the processing module include computing module and judgment module, and the computing module is used for will be described defeated
Enter the similar value that signal calculates each node compared with the sample signal, and for providing the global power of each node
Weight and the overall situation similar value according to the global weight calculation, the processing module is based on according to a variety of sample signals
It calculates and the one-to-one multiple global similar values of the sample signal, the calculation formula of global similar value are as follows:
Wherein, i is positive integer and the species number for being less than or equal to the sample signal, and k is positive integer and is less than or equal to described
The number K, G of nodeiFor the corresponding global similar value of i-th kind of sample signal, ωi,kFor the described complete of k-th node
Office's weight, Ti (k)For the similar value of k-th of node；
The judgment module is used for according to the global similar value judgement and the most like sample of the input signal
Signal is with the type of the determination input signal.
The similar value that embodiment of the present invention can calculate the node using above-mentioned formula is also possible to others
Processing or calculation obtain the similar value.
In some embodiments, the computing module can be also used for the institute for being calculated using the following equation each node
State similar value:
Wherein, i is positive integer and the species number for being less than or equal to the sample signal, and k is positive integer and is less than or equal to described
The number of node, siIt (n) is i-th kind of sample signal, x(k)It (n) is the input signal of k-th of node.
In some embodiments, the signal processing apparatus includes cue module, and the cue module is mentioned for issuing
Show.
In some embodiments, the judgment module also provides for similar threshold value and in all global similar value
Standby signal is generated when less than the similar threshold value and the control module is used to control the prompt according to the standby signal
Module issues prompt.
In some specific embodiments, the judgment module also provides for corresponding similar with the global similar value
Threshold value simultaneously is used in the global similar value for being more than or equal to the similar threshold value select the maximum global similar value pair
Type of the phase example signal type answered as the input signal.
In some embodiments, the signal processing apparatus includes display module, and the display module is for showing institute
State the type of input signal.
Embodiment of the present invention additionally provides a kind of signal processing system, and the signal processing system includes at above-mentioned signal
Manage device.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention is from combining in description of the following accompanying drawings to embodiment by change
It obtains obviously and is readily appreciated that, in which:
Fig. 1 is the flow chart of the signal processing method of one embodiment of the present invention；
Fig. 2 is the functional block diagram of the signal processing apparatus of one embodiment of the present invention；
Fig. 3 is the flow chart of the signal processing method of another embodiment of the present invention；
Fig. 4 is the flow chart of the signal processing method of another embodiment of the present invention；
Fig. 5 is the functional block diagram of the signal processing apparatus of another embodiment of the present invention；
Fig. 6 is the flow chart of the signal processing method of yet another embodiment of the present invention；
Fig. 7 is the flow chart of the signal processing method of another embodiment of the present invention；
Fig. 8 is the flow chart of the signal processing method of another embodiment of the present invention；
Fig. 9 is the functional block diagram of the signal processing system of yet another embodiment of the present invention；
Figure 10 is the block diagram of the signal processing system of one embodiment of the present invention；And
Figure 11 is the statistical chart of the signal processing method of one embodiment of the present invention.
Specific embodiment
Embodiments of the present invention are described below in detail, the example of the embodiment is shown in the accompanying drawings, wherein from beginning
Same or similar element or element with the same or similar functions are indicated to same or similar label eventually.Below by ginseng
The embodiment for examining attached drawing description is exemplary, embodiment for explaining only the invention, and should not be understood as to this hair
The limitation of bright embodiment.
Embodiment of the present invention provides a kind of signal processing method, is used for Modulation recognition.In some embodiments, originally
The signal processing method of invention embodiment can be used for classifying to signal.
Referring to Fig. 1, the signal processing method of embodiment of the present invention the following steps are included:
S10:, which providing multiple nodes, and controls multiple nodes receives input signal；
Input signal: being calculated the similar value of each node by S20 compared with sample signal, according to the similar value meter of each node
Global similar value is calculated, provides a variety of sample signals to calculate and the one-to-one multiple global similar values of sample signal；And
S30: the type of input signal is determined with the most like sample signal of input signal according to the judgement of global similar value.
The signal processing method of embodiment of the present invention is handled and is judged to global multiple nodes, is finally obtained complete
The type of office's received input signal of interior joint.The type of input signal is sentenced using the method that multi-node collaborative is handled
It is disconnected, so improve the accuracy rate of Modulation recognition.
Referring to Fig. 2, embodiment of the present invention additionally provides a kind of signal processing apparatus 10, signal processing apparatus 10 can be with
Signal is handled to classify to signal.
In some embodiments, signal processing apparatus 10 comprises the following modules:
Receiving module 110, receiving module 110 include multiple nodes；
Control module 120, control module 120 receive input signal for controlling multiple nodes；
Generation module 130, generation module 130 is for generating a variety of sample signals；And
Processing module 140.
Step S10 can be realized that step S20 can be by generation module and processing module by receiving module 110 and control module 120
It realizes, step S30 can be by processing modules implement.Specifically, processing module 140 includes computing module 142 and judgment module 144,
Computing module 142 can be used for input signal compared with sample signal to calculate the similar value of each node, and can be used for root
Global similar value is calculated according to the similar value of each node, computing module 142 can be used for calculating according to a variety of sample signals and sample
The one-to-one multiple global similar values of signal, judgment module 144 are used for according to the global similar value judgement and input
The most like sample signal of signal is to determine the type of input signal.
In some embodiments, the similarity degree to sample signal and input signal is needed to quantify, it can basis
Different demands is related to different quantization algorithms.For example, carrying out quantization can be a section in calculus communication system in the communications field
The similar value of point, to obtain the similarity degree of input signal Yu sample signal.In general, can be according to the amplitude-frequency of input signal
Characteristic and phase-frequency characteristic extract amplitude and the phase of the input signal to be compared with sample signal, to sentence section input letter
Similarity number with sample signal.
Referring to Fig. 3, the signal processing method of embodiment of the present invention can comprise the further steps of:
S22: the global weight of each node is provided and according to global weight calculation overall situation similar value.
When seeking global similar value, the weight of each node of receiving module 110 is different, therefore will be according to each
The global weight calculation overall situation similar value of node similar value.
In some embodiments, step S22 can be realized by computing module 142, and computing module 142 is for providing each node
Global weight and according to global weight calculation overall situation similar value.
In some embodiments, each node similar value T can be calculatedi (k)Global similar value is counted again afterwards
It calculates.
In some embodiments, computing module 142 can be calculated using the following equation global similar value:
Wherein, i is positive integer and the species number for being less than or equal to the sample signal, and k is positive integer and is less than or equal to described
The number K, G of nodeiFor the corresponding global similar value of i-th kind of sample signal, ωi,kFor the global weight of k-th of node, Ti (k)For
The similar value of k-th of node.
In some embodiments, the global weights omega of k-th of nodei,kIt can be obtained by calculation.For example, can borrow
Boostrap algorithm is calculated.It is, of course, also possible to be obtained by other calculating instruments.
It in some embodiments, is H in sample Modulation recognitioniWhen, related similar threshold value τ is calculatediAnd each node exists
Shared global weights omega in systemi,k.Can propose in some embodiments optimization algorithm to obtain above-mentioned two parameter,
Wherein ω is the vector containing K element, and K is node number.
It is H when input signal classification is practicalmWhen, processing module 140 judges that input signal types are also HmProbability are as follows:
Probability herein is only for the global weights omega of calculatingi,kWith similar threshold value τi.Obviously, in embodiments of the present invention
It is to have had global weights omegai,kWith similar threshold value τiIt afterwards, just can be in the hope of global similar value Gi。
It is H when Modulation recognition is practicalmWhen, it is H that processing module 140, which judges input signal types by accident,jProbability are as follows:
Optimize global weights omegamWith similar threshold value τiSo that the maximum probability that processing module 140 correctly judges, same to time control
Make its probability of miscarriage of justice in a certain range, usually selection ∈m,j<0.5.Wherein ∈m,jIt is a constant value, appears in following formula:
Above formula is a restrictive condition.
That is:
In some embodiments, it is contemplated that influence of the channel and white Gaussian noise of system to input signal, in conjunction with height
The probability density function characteristic of this white noise, this problem can be attributed to one and be limited to M-1 linear equality condition and 1 two
The non-convex problem of secondary equality condition.It can become quadratic inequality condition by the secondary equality condition of relaxation, this non-convex function is just
A convex problem can be converted into solve.It is available:
The modular tool cabinet that many softwares can be used in this equation solves, such as CVX.Wherein
ΣiIt is the covariance of noise.Symbol T representing matrix transposition.Q-1() function representation white Gaussian noise probability density
The inverse function of function.
In this way, the global weights omega of optimal node can be solvedmWith similar threshold value τm。
In some embodiments, the calculation of the similar value of each node is different greatly.For example, in the field of communications,
Step S20 can remove the similarity degree of two signals of quantization using the processing method of cross-correlation.
Specifically, computing module 142 can be used for calculating the similar value of each node, the similar value of each node can use with
Lower formula is calculated:
Wherein, i is positive integer and the species number for being less than or equal to sample signal, and k is positive integer and for being less than or equal to node
Number K, siIt (n) is i-th kind of sample signal, x(k)It (n) is the input signal of k-th of node.In addition, n={ 0,1,2 ... N-1 }, table
Show the sampled point of signal.
In this way, can just global similar value be calculated by having obtained the similar value of node, and the object calculated is multiple
The similar value of node improves the accuracy rate of Modulation recognition so that subsequent step is handled and judged to the overall situation.In addition, meter
The method for calculating the similar value of each node is not restricted to above-mentioned calculation formula.
Referring to Fig. 4, in the present embodiment, signal processing method can comprise the further steps of:
S40: providing similar threshold value and issues prompt when all global similar values are less than similar threshold value.
In the signal processing method of embodiment of the present invention, it can sentence when all global similar values are less than similar threshold value
Without signal similar with input signal in disconnected sample signal.In other words, the type of the type of input signal and all sample signals
It is not inconsistent.At this point it is possible to issue prompt to prompt user.
Referring to Fig. 5, signal processing apparatus 10 may include cue module 160.Cue module 160 is for issuing prompt.
In some specific embodiments, step S40 can be real by judgment module 144, control module 120 and cue module
It is existing.Specifically, judgment module 144 also provides for similar threshold value and generates when all global similar values are less than similar threshold value to mention
Show that signal and control module 120 are used to control cue module 160 according to standby signal and issues prompt.
Referring to Fig. 6, judgment step S30 can comprise the further steps of: in the signal processing method of embodiment of the present invention
S301: select the type of sample signal corresponding with maximum overall situation similar value for the type of input signal.
This step uses the calculation formula of above embodiment:
And
Using above-mentioned calculation formula, global similar value GiBigger, the similarity degree of sample signal and input signal is bigger, because
This, selects the type of the maximum maximum corresponding sample signal of global similar value for the type of input signal.
In some embodiments, step S301 can be used judgment module 144 realization, judgment module 144 for select with
The type of the corresponding sample signal of maximum overall situation similar value is the type of input signal.
In order to more accurately judge, signal processing method further includes providing similar threshold value to be compared.
Referring to Fig. 7, in some embodiments, the step of signal processing method, is further comprising the steps of:
S50: providing similar threshold value and selects the maximum overall situation similar in the global similar value for being more than or equal to similar threshold value
It is worth type of the type of the corresponding sample signal as the input signal.
The effect of similar threshold value is judged the similarity degree between input signal and sample signal, is closed by setting
The similar threshold value of reason, it is believed that sample signal corresponding more than or equal to the global similar value of similar threshold value belongs to and input signal ratio
More similar signal, and belong to less than the corresponding sample signal of global similar value of similar threshold value less similar with input signal
Signal.
Referring to Fig. 8, in summary embodiment, can further select most like sample in more similar signal
Signal and the type that its signal type is regarded as to input signal, and if the corresponding global similar value of all sample signals is respectively less than
Similar threshold value, that is to say, that all sample signals are less similar to input signal, can regard as identifying, and issue
Prompt.The benefit being arranged in this way be can guarantee it is selecting meet to input signal is most like sample signal it is certain similar
Condition, and when all sample signal similarity degrees not Gao Shineng makes unrecognized judgement, to meet the needs of users.
In some embodiments, input signal may be subjected to the influence of channel and noise during transmission, from
And it can be distorted.Thus when judging input signal types every time, the global similar value G to measurement is needediCentainly judged.Tool
Body, it can be judged using following formula:
Gi≥τi
Wherein, τiIt may illustrate input signal serious distortion when this judgment formula is invalid for similar threshold value, at this point,
Each node may need to receive input signal again.
In some embodiments, the realization of judgment module 144 can be used in step S50, and judgment module 144 is similar for providing
Threshold value and the class that the corresponding sample signal of maximum global similar value is selected in the global similar value for being more than or equal to similar threshold value
Type of the type as input signal.Similar threshold value τ can be calculated with algorithm for designi.In the signal processing of embodiment of the present invention
In method, similar threshold value τiWith global weights omegai,kEqually exist as important estimation parameter.Computing module 142 can be used
It is calculated, can also be calculated using other equipment that calculate against two parameters.
The type of input signal is judged in this way, further carrying out judgement to global similar value according to similar threshold value and improving
Accuracy rate, reduce the error rate of Modulation recognition.
Referring to Fig. 9, the present invention also provides a kind of signal processing systems 20.Signal processing system 20 includes signal processing
Device 10.
The signal processing apparatus 10 of embodiment of the present invention further includes display module 160.In some embodiments, it shows
Module is displayed for final judgement classification results, the i.e. type of input signal.
Referring to Fig. 10, H in Figure 10iCan indicate the corresponding signal type of all sample signals, wherein i be positive integer and
Less than or equal to the species number M of sample signal.Agent1, Agent2 ... ..., AgentK respectively indicate the input letter of each node
Number, Ti (k)For the similar value of k-th of node, ωi,kFor the global weight of k-th of node.Figure 10 uses the form pair of system block diagram
The signal processing method of embodiment of the present invention is illustrated, and preferably illustrates that embodiment of the present invention is using multiple nodes
Synergistic effect processing classification is carried out to signal.
Please refer to Figure 11, Figure 11 simply illustrate single node carry out signal processing classification cooperateed with two nodes of use into
The influence of the correct judgement probability of row signal processing classification.Specifically, the solid line in Figure 11, which represents single node, carries out signal processing
Classification method, dotted line represent two node collaborations and carry out signal processing classification method, wherein PCCorrectly to judge Modulation recognition
Probability, PMFor the probability of false judgment Modulation recognition.The figure illustrates the side that signal processing classification is carried out using two node collaborations
The accuracy of method is higher more reliable.
The signal processing method of embodiment of the present invention using multiple nodes synergistic effect to the type of input signal into
Row judgement, can effectively reduce error rate, improve the realizability and stability of system.
In the description of embodiments of the present invention, it is to be understood that term " center ", " longitudinal direction ", " transverse direction ", " length
Degree ", " width ", " thickness ", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner",
The orientation or positional relationship of the instructions such as "outside", " clockwise ", " counterclockwise " is to be based on the orientation or positional relationship shown in the drawings, only
It is embodiments of the present invention and simplified description for ease of description, rather than the device or element of indication or suggestion meaning are necessary
It with specific orientation, is constructed and operated in a specific orientation, therefore should not be understood as the limitation to embodiments of the present invention.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance or imply
Indicate the quantity of indicated technical characteristic." first " is defined as a result, the feature of " second " can be expressed or impliedly wrap
Include one or more feature.In the description of embodiments of the present invention, the meaning of " plurality " is two or two
More than, unless otherwise specifically defined.
In the description of embodiments of the present invention, it should be noted that unless otherwise clearly defined and limited, term
" installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one
Connect to body；It can be mechanical connection, be also possible to be electrically connected or can mutually communicate；It can be directly connected, can also lead to
It crosses intermediary to be indirectly connected, can be the connection inside two elements or the interaction relationship of two elements.For ability
For the those of ordinary skill in domain, can understand as the case may be above-mentioned term in embodiments of the present invention specifically contain
Justice.
In embodiments of the present invention unless specifically defined or limited otherwise, fisrt feature second feature it
"upper" or "lower" may include that the first and second features directly contact, may include the first and second features be not directly to connect yet
It touches but by the other characterisation contact between them.Moreover, fisrt feature second feature " on ", " top " and " on
Face " includes fisrt feature right above second feature and oblique upper, or to be merely representative of first feature horizontal height special higher than second
Sign.Fisrt feature under the second feature " below ", " below " and " below " include fisrt feature right above second feature and tiltedly on
Side, or first feature horizontal height is merely representative of less than second feature.
Following disclosure provides many different embodiments or example is used to realize embodiments of the present invention not
Same structure.In order to simplify the disclosure of embodiments of the present invention, hereinafter the component of specific examples and setting are described.When
So, they are merely examples, and is not intended to limit the present invention.In addition, embodiments of the present invention can be in different examples
Repeat reference numerals and/or reference letter in son, this repetition are for purposes of simplicity and clarity, itself not indicate to be begged for
By the relationship between various embodiments and/or setting.In addition, the various specific techniques that embodiments of the present invention provide
With the example of material, but those of ordinary skill in the art may be aware that the application of other techniques and/or other materials make
With.
In the description of this specification, reference term " embodiment ", " some embodiments ", " schematically implementation
The description of mode ", " example ", specific examples or " some examples " etc. means the tool described in conjunction with the embodiment or example
Body characteristics, structure, material or feature are contained at least one embodiment or example of the invention.In the present specification,
Schematic expression of the above terms are not necessarily referring to identical embodiment or example.Moreover, the specific features of description, knot
Structure, material or feature can be combined in any suitable manner in any one or more embodiments or example.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processing module or other can be from instruction
Execute system, device or equipment instruction fetch and the system that executes instruction) use, or combine these instruction execution systems, device or
Equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any may include, store, communicating, propagating or
Transfer program uses for instruction execution system, device or equipment or in conjunction with these instruction execution systems, device or equipment
Device.The more specific example (non-exhaustive list) of computer-readable medium include the following: there are one or more wirings
Electrical connection section (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of embodiments of the present invention can be with hardware, software, firmware or their combination come real
It is existing.In the above-described embodiment, multiple steps or method can be with storages in memory and by suitable instruction execution system
The software or firmware of execution is realized.For example, if realized with hardware, in another embodiment, ability can be used
Any one of following technology or their combination well known to domain is realized: being had for realizing logic function to data-signal
The discrete logic of logic gates, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array
(PGA), field programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
In addition, each functional unit in various embodiments of the present invention can integrate in a processing module, it can also
To be that each unit physically exists alone, can also be integrated in two or more units in a module.It is above-mentioned integrated
Module both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module
If in the form of software function module realize and when sold or used as an independent product, also can store one calculating
In machine read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (6)
1. a kind of signal processing method, it to be used for Modulation recognition, which is characterized in that the signal processing method includes:
Rate-determining steps provide multiple nodes and control the multiple node reception input signal；
The input signal is calculated the similar value of each node by comparison step compared with sample signal, is provided each described
The global weight of node and according to the global weight calculation overall situation similar value provides a variety of sample signals to calculate and institute
State the one-to-one multiple global similar values of sample signal, the calculation formula of the similar value of each node are as follows:
Wherein, i is positive integer and the species number for being less than or equal to the sample signal, and k is positive integer and is less than or equal to the node
Number, siIt (n) is i-th kind of sample signal, x(k)It (n) is the input signal of k-th of node,
The calculation formula of global similar value are as follows:
Wherein, GiFor the corresponding global similar value of i-th kind of sample signal, ωi,kFor the global power of k-th of node
Weight, Ti (k)For the similar value of k-th of node；And
Judgment step, according to the global similar value judgement and the most like sample signal of the input signal, and most
The most like sample signal is determined as by the similar sample signal corresponding global similar value when being greater than similar threshold value
The type of the input signal.
2. signal processing method as described in claim 1, which is characterized in that the signal processing method includes:
Prompt step provides similar threshold value and issues prompt when all global similar values are less than the similar threshold value.
3. a kind of signal processing apparatus, it to be used for Modulation recognition, which is characterized in that the signal processing apparatus includes:
Receiving module, the receiving module include multiple nodes；
Control module, the control module receive input signal for controlling the multiple node；
Generation module, the generation module is for generating a variety of sample signals；And
Processing module, the processing module include computing module and judgment module；
The computing module is used to calculate the input signal compared with the sample signal similar value of each node,
And global weight for providing each node and according to the global weight calculation overall situation similar value, the computing module is used
It is calculated and the one-to-one multiple global similar values of the sample signal, each section according to a variety of sample signals
The calculation formula of the similar value of point are as follows:
Wherein, i is positive integer and the species number for being less than or equal to the sample signal, and k is positive integer and is less than or equal to the node
Number, siIt (n) is i-th kind of sample signal, x(k)It (n) is the input signal of k-th of node,
The calculation formula of global similar value are as follows:
Wherein, GiFor the corresponding global similar value of i-th kind of sample signal, ωi,kFor the global power of k-th of node
Weight, Ti (k)For the similar value of k-th of node；
The judgment module is used for according to the global similar value judgement and the most like sample signal of the input signal,
And when the most like corresponding global similar value of the sample signal is greater than similar threshold value by the most like sample signal
It is determined as the type of the input signal.
4. signal processing apparatus as claimed in claim 3, which is characterized in that the signal processing apparatus block includes prompt mould
Block；
The judgment module also provides for similar threshold value and the production when all global similar values are less than the similar threshold value
Raw standby signal；And
The control module, which is used to control the cue module according to the standby signal, issues prompt.
5. signal processing apparatus as claimed in claim 3, which is characterized in that the signal processing apparatus includes display module,
The display module is used to show the type of the input signal.
6. a kind of signal processing system is used for Modulation recognition, which is characterized in that the signal processing system includes such as claim
Signal processing apparatus described in 3-5 any one.
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| CN104347068A (en) * | 2013-08-08 | 2015-02-11 | 索尼公司 | Audio signal processing device, audio signal processing method and monitoring system |
| CN104952449A (en) * | 2015-01-09 | 2015-09-30 | 珠海高凌技术有限公司 | Method and device for identifying environmental noise sources |
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| CN104347068A (en) * | 2013-08-08 | 2015-02-11 | 索尼公司 | Audio signal processing device, audio signal processing method and monitoring system |
| CN103474065A (en) * | 2013-09-24 | 2013-12-25 | 贵阳世纪恒通科技有限公司 | Method for determining and recognizing voice intentions based on automatic classification technology |
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