CN113132033A - Communication interference detection method and device based on polynomial interpolation processing - Google Patents
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Abstract
The application relates to a communication interference detection method and device based on polynomial interpolation processing. The method comprises the following steps: the method comprises the steps of obtaining a power spectrum signal of a satellite communication signal, obtaining a mean value of a plurality of frequency spectrum values which are ranked from small to large and the extreme difference of an original bottom noise signal in the power spectrum signal, setting a noise line according to the mean value and the extreme difference, removing the frequency spectrum value which is larger than the noise line in the original bottom noise signal to obtain a plurality of discrete noise values, carrying out interpolation processing on the discrete noise values in a polynomial interpolation mode to obtain complete bottom noise information, carrying out subtraction on the power spectrum signal and the complete bottom noise information to obtain a bottom noise-free frequency spectrum signal, and carrying out interference detection on the bottom noise-free frequency spectrum signal according to a preset threshold value. The method can improve the accuracy of interference detection.
Description
Technical Field
The present application relates to the field of signal processing technologies, and in particular, to a communication interference detection method and apparatus based on polynomial interpolation processing.
Background
The satellite mobile communication has the advantages of wide coverage area, wide frequency band, large capacity, suitability for various services, stable and reliable performance, flexibility, no limitation of geographical conditions and the like, can provide real-time communication coverage for war and sensitive task areas which cannot be covered by land mobile communication infrastructures such as remote mountain areas, gobi, oceans and the like, powerfully supports non-line-of-sight communication among gobi individuals, ocean vessels and airplanes, and provides timely and efficient communication guarantee for military and non-military activities such as local war, explosion-proof anti-terrorism, earthquake relief and the like. However, due to the open nature of satellite communications, satellite communication systems may suffer from a variety of intentional or unintentional interference. In order to further improve the communication quality of satellite communication, the problem of communication interference detection needs to be solved urgently.
At present, many interference signal detection algorithm researches are carried out at home and abroad, wherein the main detection algorithms comprise an energy detection method, a cyclostationary analysis method, a polarization analysis method, a high-order cumulant analysis method, a time-frequency analysis method and the like. For a satellite direct spread spectrum communication system, a time domain signal is converted into a complex signal, windowing and FFT conversion are performed, a self-adaptive interference detection threshold value is estimated according to the frequency domain statistical characteristics of the signal, if a spectral line value is larger than the detection threshold value, the spectral line value is regarded as the frequency spectrum of the interference signal, and finally relevant information of the interference signal, including center frequency, bandwidth and power, is inferred. The detection performance of the scheme has a great relationship with the threshold, the false alarm probability is high due to the fact that the threshold is set to be too low, and the detection performance is reduced due to the fact that the threshold is set to be high. In order to solve this problem, further, there is a document that proposes a new threshold selection method, which uses the difference value of the spectral envelope of the received signal to find the non-interference signal spectral segment, and then uses the maximum amplitude modulus value of the segment as the interference detection threshold. The scheme improves the detection performance to a certain extent.
However, since ground communication, interference signals and other noise distribution conditions have unpredictability, the noise floor in the spectrum of the satellite to be detected often fluctuates greatly, and the detection algorithms do not consider the fluctuation influence of the noise floor, so that the detection performance of the algorithms is poor under the condition of fluctuation of the noise floor.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a communication interference detection method and apparatus based on polynomial interpolation processing, which can solve the problem of inaccurate satellite communication signal interference detection.
A communication interference detection method based on polynomial interpolation processing, the method comprising:
acquiring a power spectrum signal of a satellite communication signal;
acquiring a mean value of a plurality of frequency spectrum values in the power spectrum signal from small to large and a range of the power spectrum signal, and setting a noise line according to the mean value and the range;
removing the frequency spectrum values which are larger than the noise line in the power spectrum signal to obtain a plurality of discrete noise values;
performing interpolation processing on the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information;
and obtaining a background noise-free frequency spectrum signal by subtracting the power spectrum signal and the complete background noise information, and carrying out interference detection on the background noise-free frequency spectrum signal according to a preset threshold value.
In one embodiment, the method further comprises the following steps: and carrying out segmentation processing and windowing processing on the satellite communication signal to obtain a power spectrum signal corresponding to the satellite communication signal.
In one embodiment, the method further comprises the following steps: acquiring first n frequency spectrum values M in the power spectrum signal from small to large; calculating according to the frequency spectrum value M to obtain a mean value:
wherein a represents a mean value; obtaining a maximum value P in the power spectrum signalmaxAnd a minimum value PminAccording to said maximum value PmaxAnd said minimum value PminA very poor difference is obtained.
In one embodiment, the method further comprises the following steps: and according to the mean value and the range, setting a noise line as follows:
t＝a+(Pmax-Pmin)*k
where t denotes a noise line and k denotes a scale factor.
In one embodiment, the method further comprises the following steps: and according to a preset threshold value, carrying out interference detection on the spectrum signal without the background noise by adopting an energy judgment method.
A communication interference detection apparatus based on polynomial interpolation processing, the apparatus comprising:
and the preprocessing module is used for acquiring a power spectrum signal of the satellite communication signal.
The bottom noise estimation module is used for acquiring the mean value of a plurality of frequency spectrum values which are ranked from small to large and are close to the front in the power spectrum signal and the range of the power spectrum signal, and setting a noise line according to the mean value and the range; removing the frequency spectrum values which are larger than the noise line in the original power spectrum signal to obtain a plurality of discrete noise values; interpolating the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information, and subtracting the power spectrum signal from the complete background noise information to obtain a background noise-free frequency spectrum signal;
and the interference detection module is used for carrying out interference detection on the spectrum signal without the background noise according to a preset threshold value.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a power spectrum signal of a satellite communication signal;
acquiring a mean value of a plurality of frequency spectrum values in the power spectrum signal from small to large and a range of the power spectrum signal, and setting a noise line according to the mean value and the range;
removing the frequency spectrum values which are larger than the noise line in the power spectrum signal to obtain a plurality of discrete noise values;
performing interpolation processing on the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information;
and obtaining a background noise-free frequency spectrum signal by subtracting the power spectrum signal and the complete background noise information, and carrying out interference detection on the background noise-free frequency spectrum signal according to a preset threshold value.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a power spectrum signal of a satellite communication signal;
acquiring a mean value of a plurality of frequency spectrum values in the power spectrum signal from small to large and a range of the power spectrum signal, and setting a noise line according to the mean value and the range;
removing the frequency spectrum values which are larger than the noise line in the power spectrum signal to obtain a plurality of discrete noise values;
performing interpolation processing on the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information;
and obtaining a background noise-free frequency spectrum signal by subtracting the power spectrum signal and the complete background noise information, and carrying out interference detection on the background noise-free frequency spectrum signal according to a preset threshold value.
According to the communication interference detection method and device based on polynomial interpolation processing, the computer equipment and the storage medium, firstly, a noise line is set, partial fluctuating bottom noise can be screened out, then, the bottom noise in the whole communication frequency band is fitted by using the polynomial interpolation processing method, and finally, the fitted bottom noise is subtracted by using the power spectrum signal so as to eliminate the interference of the fluctuating noise on signal detection. The communication interference detection method based on the polynomial interpolation processing provided by the invention can remove the influence of the background noise, and the performance is greatly improved compared with the performance of the traditional detection algorithm.
Drawings
Fig. 1 is a schematic flowchart of a communication interference detection method based on polynomial interpolation processing in one embodiment;
FIG. 2 is a schematic diagram illustrating detection probabilities of two interference detections in a user frequency band in one embodiment;
FIG. 3 is a schematic diagram illustrating detection probabilities of two interference detections in a non-user frequency band in an embodiment;
FIG. 4 is a schematic illustration of detection probabilities for two interference detections in one embodiment;
FIG. 5 is a diagram of false alarm points for two interference detections in one embodiment
Fig. 6 is a block diagram showing a configuration of a communication interference detecting apparatus based on polynomial interpolation processing in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a communication interference detection method based on polynomial interpolation processing is provided, which includes the following steps:
The power spectrum of the satellite signal may be obtained by performing a spectral analysis of the satellite communication signal.
The useful signal refers to the user signal being communicated, which is known and can be directly removed, so that the noise floor signal contains only fluctuating noise.
And 104, acquiring the mean value of a plurality of frequency spectrum values in the power spectrum signal from small to large and the range of the power spectrum signal, and setting a noise line according to the mean value and the range.
Sorting power spectrum signals from small to large according to power values of the power spectrum signals, calculating a mean value of n frequency spectrum values in front of the power values, calculating a difference value of the power values at the head end and the tail end according to a sorting result to obtain a range, setting a noise line according to the mean value and the range, and setting the noise line according to information in the power spectrum of the power spectrum signals to remove fluctuation interference.
And 106, removing the spectrum values which are larger than the noise line in the power spectrum signal to obtain a plurality of discrete noise values.
The noise line corresponds to a set threshold value, and the part above the threshold value is considered as a disturbance or useful signal, thus resulting in a spectral value above the noise line, so that the remaining signal is a discrete noise floor, i.e. a discrete noise value.
And step 108, performing interpolation processing on the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information.
Through the fitting processing of polynomial interpolation processing, discrete signals can be converted into complete signals, so that the part is equivalent to the estimation of the background noise signals, and the obtained complete background noise information only contains fluctuation noise.
And step 110, subtracting the power spectrum signal and the complete background noise information to obtain a background noise-free frequency spectrum signal.
And step 112, performing interference detection on the background-noise-free frequency spectrum signal according to a preset threshold value.
Because the complete bottom noise information only contains fluctuation noise, the difference between the power spectrum signal and the complete bottom noise information is adopted, and the obtained signal only contains a useful signal and an interference signal, thereby being beneficial to the interference detection of the satellite communication signal.
In the communication interference detection method based on the polynomial interpolation processing, firstly, a noise line is set, partial fluctuating bottom noise can be screened out, then, the bottom noise in the whole communication frequency band is fitted by using the polynomial interpolation processing method, and finally, the fitted bottom noise is subtracted by using a power spectrum to eliminate the interference of the fluctuating noise on signal detection. The communication interference detection method based on the polynomial interpolation processing provided by the invention can remove the influence of the background noise, and the performance is greatly improved compared with the performance of the traditional detection algorithm.
In one embodiment, the step of obtaining the power spectrum signal of the satellite communication signal may be: and carrying out segmentation processing and windowing processing on the satellite communication signal to obtain a power spectrum signal corresponding to the satellite communication signal. In this embodiment, a Welch method may be specifically adopted to perform power spectrum analysis on satellite data to obtain a power spectrum signal, and by the above processing, the variance of the frequency spectrum estimation may be effectively reduced.
In one embodiment, the step of calculating the mean and range includes: acquiring first n spectral values M in the power spectrum signal from small to large; calculating according to the frequency spectrum value M to obtain a mean value:
wherein a represents a mean value; obtaining a maximum value P in a power spectrum signalmaxAnd a minimum value PminAccording to the maximum value PmaxAnd a minimum value PminA very poor difference is obtained.
In a specific embodiment, the first n spectral values may be measured by using the first 30% power value of the power spectrum signal, and the first 30% power value of the power spectrum signal is directly obtained during the average calculation.
In the above embodiment, the background noise with a small power value can be effectively screened out by defining the average value.
In another embodiment, the noise line may be set to: t ═ a + (P)max-Pmin) K, where t represents the noise line and k represents the scaling factor.
Specifically, k may be set according to an empirical value, or may be obtained by analyzing the power spectrum data, and in this embodiment, the value of k may be 0.2.
In one embodiment, interference detection is performed on the spectrum signal without the background noise by using an energy decision method according to a preset threshold value.
Specifically, the preset threshold value may be a signal value of 3 dB.
The technical effect of the present invention is further illustrated by two comparative examples.
Fig. 2 and 3 show the detection probability of the user frequency band and the non-user frequency band under different interference-to-noise ratios JNR by the conventional CME algorithm and the method of the present invention, wherein a modulation signal, i.e., a useful signal, exists in a detection bandwidth of 25kHz, the bandwidth is 10kHz, a narrow-band interference is added, the frequency spectrum ranges are respectively 8k-12kHz (in the user frequency band) and 13k-17kHz (in the non-user frequency band), and a gaussian white noise with a noise power of 1, the SNR is 0dB, and the interference-to-noise ratio JNR is-10: 2:20dB, respectively. As can be seen from fig. 2 and fig. 3, the satellite interference detection algorithm based on polynomial interpolation can detect the existence of interference under the condition that the dry-to-noise ratio JNR is-4 dB, and the continuous mean-value elimination CME algorithm needs to detect under the condition that the dry-to-noise ratio JNR is 4 dB. Compared with the traditional CME algorithm for continuous mean value elimination, the method has the performance advantage of 6-8dB inequality.
Fig. 4 and 5 show the detection probability and the false alarm point number of the conventional CME algorithm and the method of the present invention under different dry-to-noise ratios JNR, where SNR is 10dB, interference signals occupy 20% of the signal bandwidth, the dry-to-noise ratios JNR are-10: 2:20dB, and the calculation of the average false alarm point number is equal to the number of false alarm points obtained by each monte carlo divided by the number of monte carlo. As can be seen from FIG. 3, the accurate detection probability performance of the method of the present invention is superior to that of the traditional continuous mean value elimination CME algorithm. And the false alarm point number is nearly consistent with the traditional continuous mean value elimination CME algorithm.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a communication interference detection apparatus based on polynomial interpolation processing, including: a pre-processing module 602, a bottom noise estimation module 604, a bottom noise processing module, and an interference detection module 606, wherein:
the preprocessing module 602 is configured to obtain a power spectrum signal of the satellite communication signal.
A bottom noise estimation module 604, configured to obtain a mean value of a plurality of frequency spectrum values in the power spectrum signal, which are ranked from small to large and near the top, and a range of the power spectrum, and set a noise line according to the mean value and the range; removing the frequency spectrum values which are larger than the noise line in the power spectrum to obtain a plurality of discrete noise values; performing interpolation processing on the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information;
and an interference detection module 606, configured to perform interference detection on the background-noise-free spectrum signal according to a preset threshold value.
In one embodiment, the preprocessing module 602 is further configured to perform segmentation processing and windowing processing on the satellite communication signal, so as to obtain a power spectrum signal corresponding to the satellite communication signal.
In one embodiment, the noise floor estimation module 604 is further configured to obtain top n spectral values M in the power spectrum, which are ordered from small to large; calculating according to the frequency spectrum value M to obtain a mean value:
wherein a represents a mean value; obtaining a maximum value P in the power spectrummaxAnd a minimum value PminAccording to said maximum value PmaxAnd said minimum value PminA very poor difference is obtained.
In one embodiment, the bottom noise estimation module 604 is further configured to set the noise line as:
t＝a+(Pmax-Pmin)*k
where t denotes a noise line and k denotes a scale factor.
In one embodiment, the method further comprises the following steps: the background noise processing module is used for filtering useful signals and interference signals in the power spectrum signals to obtain background noise-free frequency spectrum information;
in one embodiment, the interference detection module 606 is further configured to perform interference detection on the background-free spectrum signal by using an energy decision method according to a preset threshold.
For specific limitations of the communication interference detection apparatus based on polynomial interpolation processing, reference may be made to the above limitations of the communication interference detection method based on polynomial interpolation processing, and details are not repeated here. The respective modules in the communication interference detection apparatus based on polynomial interpolation processing described above may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a communication interference detection method based on polynomial interpolation processing. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the method in the above embodiments when the processor executes the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method in the above-mentioned embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A communication interference detection method based on polynomial interpolation processing, the method comprising:
acquiring a power spectrum signal of a satellite communication signal;
acquiring a mean value of a plurality of frequency spectrum values in the power spectrum signal from small to large and a range of the power spectrum signal, and setting a noise line according to the mean value and the range;
removing the frequency spectrum values which are larger than the noise line in the power spectrum signal to obtain a plurality of discrete noise values;
performing interpolation processing on the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information;
and obtaining a background noise-free frequency spectrum signal by subtracting the power spectrum signal and the complete background noise information, and carrying out interference detection on the background noise-free frequency spectrum signal according to a preset threshold value.
2. The method of claim 1, wherein said obtaining a power spectrum signal of a satellite communication signal comprises:
and carrying out segmentation processing and windowing processing on the satellite communication signal to obtain a power spectrum signal corresponding to the satellite communication signal.
3. The method of claim 1, wherein obtaining a mean of a plurality of spectral values in the power spectrum signal that are ordered top from small to large and a range of the power spectrum signal comprises:
acquiring first n frequency spectrum values M in the power spectrum signal from small to large;
calculating according to the frequency spectrum value M to obtain a mean value:
wherein a represents a mean value;
obtaining a maximum value P in the power spectrum signalmaxAnd a minimum value PminAccording to said maximum value PmaxAnd said minimum value PminA very poor difference is obtained.
4. The method of claim 3, wherein setting a noise line based on the mean and the range comprises:
and according to the mean value and the range, setting a noise line as follows:
t＝a+(Pmax-Pmin)*k
where t denotes a noise line and k denotes a scale factor.
5. The method according to any one of claims 1 to 4, wherein the performing interference detection on the background-noise-free spectrum signal according to a preset threshold value comprises:
and according to a preset threshold value, carrying out interference detection on the spectrum signal without the background noise by adopting an energy judgment method.
6. A communication interference detection apparatus based on polynomial interpolation processing, the apparatus comprising:
the preprocessing module is used for acquiring a power spectrum signal of the satellite communication signal;
the bottom noise estimation module is used for acquiring the mean value of a plurality of frequency spectrum values which are ranked from small to large and are close to the front in the power spectrum signal and the range of the power spectrum signal, and setting a noise line according to the mean value and the range; removing the frequency spectrum values which are larger than the noise line in the power spectrum signal to obtain a plurality of discrete noise values; interpolating the discrete noise value by adopting a polynomial interpolation mode to obtain complete background noise information, and subtracting the power spectrum signal from the complete background noise information to obtain a background noise-free frequency spectrum signal;
and the interference detection module is used for carrying out interference detection on the spectrum signal without the background noise according to a preset threshold value.
7. The apparatus of claim 6, wherein the preprocessing module is configured to perform segmentation processing and windowing processing on the satellite communication signal to obtain a power spectrum signal corresponding to the satellite communication signal.
8. The apparatus according to claim 6, wherein the noise floor estimation module is further configured to obtain the first n spectral values M in the power spectrum signal, which are ordered from small to large; calculating according to the frequency spectrum value M to obtain a mean value:
wherein a represents a mean value; obtaining a maximum value P in the power spectrum signalmaxAnd a minimum value PminAccording to said maximum value PmaxAnd said minimum value PminA very poor difference is obtained.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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| CN114244454A (en) * | 2022-02-21 | 2022-03-25 | 北京和熵通信科技有限公司 | Communication interference detection method and device |
| CN114244454B (en) * | 2022-02-21 | 2022-05-17 | 北京和熵通信科技有限公司 | Communication interference detection method and device |
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