1. A smooth fitting-based spectrum splicing method is characterized by comprising the following steps:

s1, setting the frequency spectrum range to be monitoredIntercepting the frequency spectrum, and performing FFT calculation on the intercepted first section of frequency spectrum to obtain discrete Fourier transformThe first section of the spectrum range is(ii) a Performing FFT calculation on the ith segment of spectrum to obtain discrete Fourier transformThe ith segment of the spectrum range is，，Is a fixed value;

s2, for the ith segmentAnd paragraph i-1Carrying out burst signal detection on data in the frequency spectrum range, and entering S3 when a burst signal exists, or entering S4;

s3, extracting the ith sectionBurst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainExtraction of section i-1Burst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainGo to S4;

s4, calculating the ith segmentDiscrete Fourier transform in frequency spectrumCalculate the i-1 th segmentDiscrete Fourier transform in frequency bandGo to S5;

s5, according toAndobtaining frequency spectrum splicing fitting parametersAnd completing broadband spectrum splicing according to the fitting parameters.

2. The method for spectrum stitching based on smooth fitting of claim 1, wherein the i segments are respectively matchedAnd paragraph i-1The method for detecting the burst signal by the data in the frequency spectrum range comprises the following steps:

collecting the ith section of frequency spectrum data with the frequency range of，

Wherein the content of the first and second substances,for the purpose of the acquisition of a broadband background signal,for the discrete Fourier transform, the data collected in the i-1 th segment is interceptedPerforming sliding double-window method burst detection in a frequency band range, and intercepting the i-th section of acquired dataPerforming sliding double-window burst detection within the frequency band range to obtain burst data segmentTo, forPerforming discrete Fourier transform to obtain frequency spectrum data：

。

3. The smooth-fitting-based spectrum splicing method according to claim 2, wherein the line-sliding double-window burst detection comprises the following processes:

the sliding double-window method detects the start and stop of a signal by comparing the signal energy in two adjacent time windows; i.e. two adjacent lengths are set toThe windows of (1) are respectively a window A and a window B; when the window A and the window B slide on the received signal, the energy falling into the two windows is respectivelyAnd：

；

；

in the above formula, the first and second carbon atoms are,representing a signal sample point sequence, n is a related starting point, and k represents a sample point index in a related window; during detection, the window A and the window B start to slide; when both window a and window B contain only noise energy,andthe value of (a) is constant, the energy ratio m of the window A and the window B is constant, namely m is equal to 1; the window A and the window B continue to slide, the burst signal gradually enters the window B, the energy of the window B is gradually increased, the window A only contains noise at the moment, and the energy ratio of the window A to the window B is gradually increased; when the window B contains all burst signals, the window A only contains noise energy, the energy ratio m of the two windows reaches the maximum, and the starting time of the corresponding burst signal is recorded as(ii) a Continuing sliding, gradually enabling the burst signal to enter a window A, and gradually dropping the energy ratio m of the window A to the window B to 1; when the window B only contains noise, the window A contains all burst signals, the energy ratio m of the window A to the window B reaches the minimum, and the ending time of the corresponding burst signal is recorded asObtaining a burst signal data segmentTo, forPerforming discrete Fourier transform to obtain：

。

4. The smooth-fit-based spectrum stitching method according to claim 3, wherein the spectral data is subjected toAndfitting parameters for performing spectrum splicingSolving, spectrum splicing fitting parametersThe following relationship is satisfied:

fitting parameters obtained using the above formulaCalculating，The data is wide frequency spectrum data.

Background

At present, the bandwidth of an electromagnetic spectrum to be monitored is far larger than that of an existing receiver, so that multiple sections of frequency spectrums need to be spliced together after receiving and collecting in a segmented mode, and the whole broadband frequency spectrum can be formed. The existing splicing method mostly adopts a direct splicing method, and due to the difference of factors such as the background noise of each section of frequency spectrum, the overall frequency spectrum fluctuation after splicing is large, artificial frequency spectrum burrs caused by splicing can be introduced, and the performance of subsequent signal monitoring is influenced.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides a smooth fitting-based frequency spectrum splicing method, which comprises the following steps:

s1, setting the frequency spectrum range to be monitoredIntercepting the frequency spectrum, and performing FFT calculation on the intercepted first section of frequency spectrum to obtain discrete Fourier transformThe first section of the spectrum range is(ii) a Performing FFT calculation on the ith segment of spectrum to obtain discrete Fourier transformThe ith segment of the spectrum range is，，Is a fixed value;

s2, for the ith segmentAnd paragraph i-1Carrying out burst signal detection on data in the frequency spectrum range, and entering S3 when a burst signal exists, or entering S4;

s3, extracting the ith sectionBurst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainExtraction of section i-1Burst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainGo to S4;

s4, calculating the ith segmentDiscrete Fourier transform in frequency spectrumCalculate the i-1 th segmentDiscrete Fourier transform in frequency bandGo to S5;

s5, according toAndobtaining frequency spectrum splicing fitting parametersAnd completing broadband spectrum splicing according to the fitting parameters.

Further, said each pair of i-th sectionsAnd paragraph i-1The method for detecting the burst signal by the data in the frequency spectrum range comprises the following steps:

collecting the ith section of frequency spectrum data with the frequency range of，

Wherein the content of the first and second substances,for the purpose of the acquisition of a broadband background signal,for the discrete Fourier transform, the data collected in the i-1 th segment is interceptedPerforming sliding double-window method burst detection in a frequency band range, and intercepting the i-th section of acquired dataPerforming sliding double-window burst detection within the frequency band range to obtain burst data segmentTo, forPerforming discrete Fourier transform to obtain frequency spectrum data：

。

Further, the burst detection by the line sliding double window method includes the following processes:

the sliding double-window method detects the start and stop of a signal by comparing the signal energy in two adjacent time windows; i.e. two adjacent lengths are set toThe windows of (1) are respectively a window A and a window B; when the window A and the window B slide on the received signal, the energy falling into the two windows is respectivelyAnd：

；

；

in the above formula, the first and second carbon atoms are,representing a signal sample point sequence, n is a related starting point, and k represents a sample point index in a related window; during detection, the window A and the window B start to slide; when both window a and window B contain only noise energy,andthe value of (a) is constant, the energy ratio m of the window A and the window B is constant, namely m is equal to 1; the window A and the window B continue to slide, the burst signal gradually enters the window B, the energy of the window B is gradually increased, the window A only contains noise at the moment, and the energy ratio of the window A to the window B is gradually increased; when the window B contains all burst signals, the window A only contains noise energy, the energy ratio m of the two windows reaches the maximum, and the starting time of the corresponding burst signal is recorded as(ii) a Continuing sliding, gradually enabling the burst signal to enter a window A, and gradually dropping the energy ratio m of the window A to the window B to 1; when the window B only contains noise, the window A contains all burst signals, the energy ratio m of the window A to the window B reaches the minimum, and the ending time of the corresponding burst signal is recorded asObtaining a burst signal data segmentTo, forPerforming discrete Fourier transform to obtain：

。

Further, for the spectrum dataAndfitting parameters for performing spectrum splicingSolving, spectrum splicing fitting parametersThe following relationship is satisfied:

fitting parameters obtained using the above formulaCalculating，The data is wide frequency spectrum data.

The invention has the beneficial effects that: the method realizes the smoothing of the front and rear section frequency spectrums by utilizing the fitting of the front and rear section overlapped frequency spectrum data samples, and the technology can be widely applied to the fields of radio monitoring and communication countermeasure.

Drawings

FIG. 1 is a schematic flow chart of a spectrum stitching method based on smooth fitting;

FIG. 2 is a schematic diagram of frequency spectrum division;

FIG. 3 is a schematic diagram of a dual window process;

fig. 4 is a schematic diagram of the fitting and splicing effect.

Detailed Description

The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.

As shown in fig. 1, a smooth fitting-based spectrum stitching method includes the following steps:

s1, setting the frequency spectrum range to be monitoredIntercepting the frequency spectrum, and performing FFT calculation on the intercepted first section of frequency spectrum to obtain discrete Fourier transformThe first section of the spectrum range is(ii) a Performing FFT calculation on the ith segment of spectrum to obtain discrete Fourier transformThe ith segment of the spectrum range is，，Is a fixed value;

s2 minuteIs respectively corresponding to the ith sectionAnd paragraph i-1Carrying out burst signal detection on data in the frequency spectrum range, and entering S3 when a burst signal exists, or entering S4;

s3, extracting the ith sectionBurst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainExtraction of section i-1Burst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainGo to S4;

s4, calculating the ith segmentDiscrete Fourier transform in frequency spectrumCalculate the i-1 th segmentDiscrete Fourier transform in frequency bandGo to S5;

s5, according toAndobtaining frequency spectrum splicing fitting parametersAnd completing broadband spectrum splicing according to the fitting parameters.

Further, said each pair of i-th sectionsAnd paragraph i-1The method for detecting the burst signal by the data in the frequency spectrum range comprises the following steps:

collecting the ith section of frequency spectrum data with the frequency range of，

Wherein the content of the first and second substances,for the purpose of the acquisition of a broadband background signal,for the discrete Fourier transform, the data collected in the i-1 th segment is interceptedPerforming sliding double-window method burst detection in a frequency band range, and intercepting the i-th section of acquired dataPerforming sliding double-window burst detection within the frequency band range to obtain burst data segmentTo, forPerforming discrete Fourier transform to obtain frequency spectrum data：

。

Further, the burst detection by the line sliding double window method includes the following processes:

the sliding double-window method detects the start and stop of a signal by comparing the signal energy in two adjacent time windows; i.e. two adjacent lengths are set toThe windows of (1) are respectively a window A and a window B; when the window A and the window B slide on the received signal, the energy falling into the two windows is respectivelyAnd：

；

；

in the above formula, the first and second carbon atoms are,representing a signal sample point sequence, n is a related starting point, and k represents a sample point index in a related window; during detection, the window A and the window B start to slide; when both window a and window B contain only noise energy,andthe value of (a) is constant, the energy ratio m of the window A and the window B is constant, namely m is equal to 1; the window A and the window B continue to slide, the burst signal gradually enters the window B, the energy of the window B is gradually increased, the window A only contains noise at the moment, and the energy ratio of the window A to the window B is gradually increased; when the window B contains all burst signals, the window A only contains noise energy, the energy ratio m of the two windows reaches the maximum, and the starting time of the corresponding burst signal is recorded as(ii) a Continuing sliding, gradually enabling the burst signal to enter a window A, and gradually dropping the energy ratio m of the window A to the window B to 1; when the window B only contains noise, the window A contains all burst signals, the energy ratio m of the window A to the window B reaches the minimum, and the ending time of the corresponding burst signal is recorded asObtaining a burst signal data segmentTo, forPerforming discrete Fourier transform to obtain：

。

Further, for the spectrum dataAndfitting parameters for performing spectrum splicingSolving, spectrum splicing fitting parametersThe following relationship is satisfied:

fitting parameters obtained using the above formulaCalculating，The data is wide frequency spectrum data.

Specifically, the spectrum splicing method based on smooth fitting comprises the following steps:

s1, setting the whole frequency spectrum range to be monitoredGo to S2;

s2, collecting the first segment data to perform FFT calculation to obtain discrete Fourier transformThe first section of the spectrum range is，Expressed as the acquisition bandwidth of the radio frequency receiver, is a fixed value,go to S3;

s3, collecting the ith section of data and carrying out FFT calculation to obtain discrete Fourier transformThe ith segment of the spectrum range isHere, and for anyIn the case of a non-woven fabric,，is a fixed value, proceed to S4;

s4, respectively aligning the sections iAnd i-1 sectionCarrying out burst signal detection on data in the frequency band range, and entering S5 when a burst signal exists, or entering S6;

s5, extracting segment iBurst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainExtraction of section i-1Burst signal data segment detected in frequency spectrumPerforming discrete Fourier transform to obtainGo to S6;

s6, calculating the segment iDiscrete Fourier transform in frequency bandCalculate section i-1Discrete Fourier transform in frequency bandGo to S7;

s7, according to the front and back section frequency spectrum dataAndobtaining frequency spectrum splicing fitting parametersAre combined with each otherProceeding to S8;

s8, calculating，Entering S9 for the wide band spectrum data;

S9、if at this timeNamely, the calculated value of the broadband spectrum obtained by splicing is spliced to finish the broadband spectrum splicing.

Collecting the ith section of frequency spectrum data with the frequency range of，

Wherein the content of the first and second substances,for the purpose of the acquisition of a broadband background signal,is a discrete fourier transform.

The sliding double-window method detects the start and stop of a signal by comparing the signal energy in two adjacent time windows; i.e. two adjacent lengths are set toThe windows of (1) are respectively a window A and a window B; when the window A and the window B slide on the received signal, the energy falling into the two windows is respectivelyAnd：

；

；

in the above formula, the first and second carbon atoms are,representing a signal sample point sequence, n is a related starting point, and k represents a sample point index in a related window; during detection, the window A and the window B start to slide; when both window a and window B contain only noise energy,andthe value of (a) is constant, the energy ratio m of the window A and the window B is constant, namely m is equal to 1; the window A and the window B continue to slide, the burst signal gradually enters the window B, the energy of the window B is gradually increased, the window A only contains noise at the moment, and the energy ratio of the window A to the window B is gradually increased; when the window B contains all burst signals, the window A only contains noise energy, the energy ratio m of the two windows reaches the maximum, and the starting time of the corresponding burst signal is recorded as(ii) a Continuing sliding, gradually enabling the burst signal to enter a window A, and gradually dropping the energy ratio m of the window A to the window B to 1; when the window B only contains noise, the window A contains all burst signals, the energy ratio m of the window A to the window B reaches the minimum, and the ending time of the corresponding burst signal is recorded as. By which method a signal data section can be burstTo, forPerforming discrete Fourier transform to obtain：

Intercepting the ith section of collected dataPerforming sliding double-window burst detection within the frequency band range to obtain burst data segmentTo, forPerforming discrete Fourier transform to obtain frequency spectrum data：

By making use ofAndfitting parameters for performing spectrum splicingSolving, the parameter needs to satisfy the following relation:

fitting parameters obtained using the above formulaCalculating，The data is wide frequency spectrum data.

According to fig. 4, the fit splicing in the transition zone is smooth, so that false alarm cannot be brought to subsequent signal detection and identification.

The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.