CN112751634B - Predictive burst signal monitoring frequency-cutting method and system - Google Patents

Predictive burst signal monitoring frequency-cutting method and system Download PDF

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CN112751634B
CN112751634B CN202011643934.9A CN202011643934A CN112751634B CN 112751634 B CN112751634 B CN 112751634B CN 202011643934 A CN202011643934 A CN 202011643934A CN 112751634 B CN112751634 B CN 112751634B
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burst signal
radiation source
frequency
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time interval
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CN112751634A (en
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黄嘉�
姚兰
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Beijing Huanyu Yuance Electronic Technology Co ltd
Qingyuan Zhixiang Chongqing Technology Co ltd
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Qingyuan Zhixiang Chongqing Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/20Monitoring; Testing of receivers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/373Predicting channel quality or other radio frequency [RF] parameters
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention relates to a predictive burst signal monitoring frequency-cutting method and a system, which are characterized by comprising the following contents: 1) according to the interception state of the target radiation source burst signal intercepted by the receiver, marking the target radiation source burst signal as an interception state or a loss state in a database; 2) setting a maximum frequency switching time interval and a minimum frequency switching time interval of a receiver; 3) establishing an interception state burst signal set of a target radiation source, determining a burst period according to the established set, and further establishing a prediction model; 4) based on the set maximum frequency switching time interval and minimum frequency switching time interval, according to the principle of maximum profit, the prediction model is solved, the frequency point and time of the next frequency switching of the receiver in the period of the burst signal are determined, and the predicted frequency switching of the burst signal is completed.

Description

Predictive burst signal monitoring frequency-cutting method and system
Technical Field
The invention relates to a predictive burst signal monitoring frequency-cutting method and a predictive burst signal monitoring frequency-cutting system, and belongs to the technical field of signal processing.
Background
The acquisition of the low-altitude electromagnetic information depends on various different types of distributed sensing equipment, is limited by the constraint conditions such as power consumption and processing capacity of various sensing equipment, and although various spectrum monitoring equipment has wider bandwidth, the spectrum monitoring equipment still has the defect of covering a wider sensing frequency range. In order to realize real-time coverage of the full frequency band, some frequency spectrum monitoring devices meet the requirement of frequency coverage by adopting a plurality of frequency channels, and the method has complex equipment and higher manufacturing cost; another method for realizing wide frequency coverage is to adopt a heterodyne receiver and realize full frequency coverage by a time division multiplexing method; yet another approach is to scan the desired coverage band by fixed or preset frequency switching, which is simple, inexpensive and inefficient.
For a radiation source with burstiness of signals, the time domain distribution has sparsity, so if the time domain sparsity of the burst signals can be utilized, the real-time coverage of a wide frequency domain can be realized with low hardware cost. But the exploitation of this time-domain sparsity feature has difficulty: 1) the object radiation source of the spectrum monitoring has non-cooperative characteristics, the burst characteristic of a signal is unknown, and the prior information about the burst characteristic can be obtained only by early observation; 2) the calculation is difficult, the frequency switching method needs to comprehensively consider the system performance and the burst signal model, and the improper frequency switching method can cause the reduction of the efficiency.
Disclosure of Invention
In view of the above problems, the present invention provides a method and system for predictive burst signal monitoring frequency slicing with high interception probability and high efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme: a method for monitoring frequency slicing by a predictive burst signal, comprising the following steps:
1) according to the interception state of a target radiation source burst signal intercepted by a receiver, marking the target radiation source burst signal as an interception state or a loss state in a database;
2) setting a maximum frequency switching time interval and a minimum frequency switching time interval of a receiver;
3) establishing an interception state burst signal set of a target radiation source, determining a burst period according to the established set, and further establishing a prediction model;
4) and solving a prediction model based on the set maximum frequency switching time interval and minimum frequency switching time interval according to the principle of maximum profit, determining the frequency point and time of the next frequency switching of the receiver in the period of the burst signal, and completing the predicted frequency switching of the burst signal.
Further, the specific process of the step 1) is as follows:
1.1) intercepting burst signals of a target radiation source, checking and counting, if the burst signals of the target radiation source are intercepted continuously for n times within a preset time, setting the checking and counting to be n, resetting the maintenance count to zero, and marking the burst signals of the target radiation source as an intercepted state in a database;
if the non-intercepted burst signal exists at the next continuous n preset moments, resetting the checking count to zero and keeping the maintenance count to be 1, and intercepting the burst signal of the target radiation source again;
1.2) if the burst signal of the target radiation source is not intercepted for m times continuously within the preset time, setting the maintenance count to be m, resetting the checking count to zero, and marking the burst signal of the target radiation source as a lost state in a database;
and if the subsequent m continuous preset moments have one interception burst signal, resetting the maintenance count to zero, and intercepting the burst signal of the target radiation source again.
Further, the specific process of step 2) is as follows:
2.1) acquiring the lowest repetition frequency and the maximum pulse width of an intercepted state burst signal of a current target radiation source in a database;
2.2) setting the lowest repetition frequency as the maximum frequency switching time interval of the receiver, and setting the maximum pulse width as the minimum frequency switching time interval of the receiver.
Further, the specific process of step 3) is as follows:
3.1) establishing an interception state burst signal set of a target radiation source;
3.2) determining the periodic function I (f) of the intercepted burst signal according to the established set as follows:
Figure BDA0002879299730000021
wherein, tiThe arrival time of the capture state burst signal; f is the repetition frequency to be estimated; n is interceptionThe total number of state burst signals;
3.3) searching the maximum point of the periodic function I (f) to obtain the periodic estimation of the burst signal;
3.4) establishing a prediction model according to the period of the burst signal:
Figure BDA0002879299730000022
wherein V (f, t) is a revenue function; l is the number of target radiation sources; q (i) is the importance weight of the ith target radiation source; f (t, F) is whether the target radiation source appears at the frequency point F and within the time t, and is 1 if the target radiation source appears, and is 0 if the target radiation source does not appear.
A predictive burst signal monitoring frequency-cutting system comprises a receiver module, an analog-to-digital converter, a signal processor and a controller;
the receiver module is used for intercepting a burst signal of a target radiation source according to the frequency of a frequency control instruction of the controller and sending the burst signal to the analog-to-digital converter;
the analog-to-digital converter is used for converting the input burst signal into a digital signal and sending the digital signal to the signal processor;
the signal processor is used for marking the burst signal of the target radiation source as an intercepted state or a lost state, setting the maximum frequency switching time interval and the minimum frequency switching time interval of the receiver and sending the maximum frequency switching time interval and the minimum frequency switching time interval to the controller;
the controller is used for determining a frequency control instruction of the receiver according to the interception state of the target radiation source and the set large-frequency switching time interval and the set minimum-frequency switching time interval.
Furthermore, a database, a data acquisition unit and a time interval setting unit are arranged in the signal processor;
the database is used for marking the target radiation source burst signal as an interception state or a loss state;
the data acquisition unit is used for acquiring the lowest repetition frequency and the maximum pulse width of an intercepted state burst signal of a current target radiation source in the database;
the time interval setting unit is used for setting the lowest repetition frequency as the maximum frequency switching time interval of the receiver, setting the maximum pulse width as the minimum frequency switching time interval of the receiver, and sending the minimum frequency switching time interval to the controller at regular time.
Furthermore, a set establishing unit, a model establishing unit, a frequency point and time determining unit and a frequency control instruction determining unit are arranged in the controller;
the set establishing unit is used for establishing an interception state burst signal set of a target radiation source;
the model establishing unit is used for determining a burst period according to the established set so as to establish a prediction model;
the frequency point and time determining unit is used for solving a prediction model based on the set maximum frequency switching time interval and minimum frequency switching time interval of the receiver according to the principle of maximum profit and determining the frequency point and time of the next frequency switching of the receiver in the period of the burst signal;
and the frequency control instruction determining unit is used for determining the frequency control instruction of the receiver according to the interception state of the target radiation source and the frequency point and time of the next frequency switching of the receiver in the period of the burst signal.
A processor comprising computer program instructions, wherein said computer program instructions, when executed by the processor, are adapted to implement the steps corresponding to the above-described method of predictive burst signal monitoring frequency slicing.
A computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, are for implementing the steps corresponding to the above-described method for predictive burst signal monitoring frequency slicing.
Due to the adoption of the technical scheme, the invention has the following advantages:
1. the invention can select the frequency switching mode with the highest efficiency according to the burst signal, effectively utilizes the spectrum hole and adopts the low-cost receiver to realize the effective coverage of wide frequency.
2. Compared with the heterodyne receiver adopting the fixed frequency cutting method with the same bandwidth, the invention has higher signal interception probability.
3. Compared with a multi-channel receiver, the invention has lower hardware capability requirement, has the advantages of less equipment number, simple structure and low price under the same interception capability requirement, and can be widely applied to the technical field of signal processing.
Drawings
FIG. 1 is a schematic diagram of the transfer of a status flag of a radiation source in the method of the present invention;
fig. 2 is a schematic diagram of a frequency point switching strategy in an embodiment of the present invention;
fig. 3 is a schematic diagram of the system of the present invention.
Detailed Description
The present invention is described in detail below with reference to the attached drawings. It is to be understood, however, that the drawings are provided solely for the purposes of promoting an understanding of the invention and that they are not to be construed as limiting the invention.
Example one
The embodiment provides a frequency cutting method for monitoring a predictive burst signal, which comprises the following steps:
1) as shown in fig. 1, according to the interception state of the target radiation source burst signal intercepted by the receiver, the target radiation source burst signal is marked as an interception state or a loss state in the database of the signal processor, specifically:
1.1) intercepting burst signals of a target radiation source, checking and counting, if the burst signals of the target radiation source are intercepted continuously for n times within a preset time, setting the checking and counting to be n, resetting the maintenance count to zero, and marking the burst signals of the target radiation source as an intercepted state in a database; and if the non-intercepted burst signal exists at the next continuous n preset moments, resetting the checking count to zero and keeping the maintenance count to be 1, and intercepting the burst signal of the target radiation source again.
1.2) if the burst signal of the target radiation source is not intercepted for m times continuously within the preset time, setting the maintenance count to m, enabling the checking count to return to zero, and marking the burst signal of the target radiation source as a lost state in a database; and if the burst signal is intercepted for one time at the following m preset moments, resetting the maintenance count to zero and intercepting the burst signal of the target radiation source again.
2) The method comprises the steps of obtaining the lowest repetition frequency (PRF) and the maximum Pulse Width (PW) of an intercepted state burst signal of a current target radiation source in a database, setting the lowest repetition frequency (PRF) as the maximum frequency switching time interval of a receiver, setting the maximum Pulse Width (PW) as the minimum frequency switching time interval of the receiver, and intercepting enough burst signals by the receiver within a certain time span for all radiation sources, particularly low-repetition frequency radiation sources.
As shown in fig. 2, the abscissa is a time series, taking a radar radiation source as an example, typical parameters of the radar radiation source are set as follows: the pulse repetition frequency of the S/C band radar is 292Hz and 2000Hz respectively, and the pulse repetition frequency of the X band radar is 200Hz and 1280Hz respectively. In order to ensure the interception capability of the radar radiation source with the lowest repetition frequency, the maximum frequency switching time interval is set according to the lowest repetition frequency, and in order to ensure the complete interception of burst signals of the radar radiation source, the minimum frequency switching time interval is set according to the maximum pulse width.
3) Establishing an interception state burst signal set of a target radiation source, determining a burst period according to the established set, and further establishing a prediction model, wherein the burst signal has a periodic characteristic, so that the period measurement of the burst signal can be carried out by estimating a periodogram of the burst signal, and the method specifically comprises the following steps:
3.1) establishing an acquisition state burst signal set of the target radiation source.
3.2) determining the periodic function I (f) of the intercepted burst signal according to the established set as follows:
Figure BDA0002879299730000051
wherein, tiThe arrival time of the capture state burst signal; f is the repetition frequency to be estimated; n is the total number of trapped-state burst signals.
3.3) searching the maximum point of the periodic function I (f) to obtain the periodic estimation of the burst signal.
3.4) establishing a prediction model according to the determined burst signal period:
Figure BDA0002879299730000052
wherein V (f, t) is a revenue function; l is the number of target radiation sources; q (i) is the importance weight of the ith target radiation source; f (t, F) is whether the target radiation source appears at the frequency point F and within the time t, and is 1 if the target radiation source appears, and is 0 if the target radiation source does not appear.
4) Based on the set maximum frequency switching time interval and minimum frequency switching time interval of the receiver, solving a prediction model according to the principle of maximum profit, determining the frequency point and time of the next frequency switching of the receiver in the period of the burst signal, and completing the predicted frequency switching of the burst signal, wherein the frequency point and time corresponding to the maximum value of the profit function are the frequency point and time of the next frequency switching of the receiver.
The simulation analysis is performed on the predictive burst signal monitoring and frequency cutting method of the present invention and the random switching method in the prior art, and 500 monte carlo simulations are performed in total, and the results are shown in table 1 below, and it can be seen that compared with the random switching method, the predictive burst signal monitoring and frequency cutting method of the present invention can intercept more burst signals:
table 1: simulation comparison of the method of the present invention and the random switching method
Figure BDA0002879299730000053
Example two
As shown in fig. 3, the present embodiment provides a predictive burst signal monitoring frequency-cutting system, which includes a receiver module, an analog-to-digital converter, a signal processor and a controller.
The receiver module is used for intercepting a burst signal of a target radiation source according to the frequency of a frequency control instruction of the controller and outputting 4GHz sampling to the analog-to-digital converter at an intermediate frequency.
The analog-to-digital converter is used for converting the input burst signal into a digital signal and sending the digital signal to the signal processor through the high-speed interface.
The signal processor is used for marking the target radiation source burst signal as an interception state or a loss state, setting the maximum frequency switching time interval and the minimum frequency switching time interval of the receiver, and sending the maximum frequency switching time interval and the minimum frequency switching time interval to the controller at regular time.
The controller is used for determining a frequency control instruction of the receiver according to the interception state of the target radiation source and the set large-frequency switching time interval and the set minimum-frequency switching time interval.
In a preferred embodiment, a database, a data acquisition unit and a time interval setting unit are arranged in the signal processor.
The database is used for marking the target radiation source burst signal as an interception state or a loss state.
The data acquisition unit is used for acquiring the lowest repetition frequency and the maximum pulse width of the interception state burst signal of the current target radiation source in the database.
The time interval setting unit is used for setting the lowest repetition frequency as the maximum frequency switching time interval of the receiver, setting the maximum pulse width as the minimum frequency switching time interval of the receiver, and sending the minimum frequency switching time interval to the controller at regular time.
In a preferred embodiment, a set establishing unit, a model establishing unit, a frequency point and time determining unit and a frequency control instruction determining unit are arranged in the controller.
The set establishing unit is used for establishing an interception state burst signal set of the target radiation source.
The model establishing unit is used for determining a burst period according to the established set so as to establish a prediction model.
And the frequency point and time determining unit is used for inputting the intercepted burst signal set of the target radiation source into the established prediction model according to the principle of maximum profit based on the set maximum frequency switching time interval and minimum frequency switching time interval of the receiver, and determining the frequency point and time of the next frequency switching of the receiver in the period of the burst signal.
And the frequency control instruction determining unit is used for determining the frequency control instruction of the receiver according to the interception state of the target radiation source and the frequency point and time of the next frequency switching of the receiver in the period of the burst signal.
EXAMPLE III
This embodiment provides a processing device corresponding to the method for monitoring frequency-cutting by burst signal prediction provided in embodiment 1, where the processing device may be a processing device for a client, such as a mobile phone, a laptop, a tablet, a desktop computer, etc., to execute the method of embodiment 1.
The processing equipment comprises a processor, a memory, a communication interface and a bus, wherein the processor, the memory and the communication interface are connected through the bus so as to complete mutual communication. The memory stores a computer program that can be executed on the processor, and the processor executes the computer program to execute the method for frequency slicing for monitoring the predictive burst signal provided in this embodiment 1.
In some implementations, the Memory may be a high-speed Random Access Memory (RAM), and may also include a non-volatile Memory, such as at least one disk Memory.
In other implementations, the processor may be various general-purpose processors such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), and the like, and is not limited herein.
Example four
The predictive burst signal monitoring frequency-cutting method of this embodiment 1 may be embodied as a computer program product, which may include a computer readable storage medium having computer readable program instructions embodied thereon for executing the voice recognition method of this embodiment 1.
The computer readable storage medium may be a tangible device that retains and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any combination of the foregoing.
The above embodiments are only used for illustrating the present invention, and the structure, connection manner, manufacturing process and the like of each component can be changed, and equivalent changes and improvements made on the basis of the technical scheme of the present invention should not be excluded from the protection scope of the present invention.

Claims (7)

1. A method for predictive burst signal monitoring frequency slicing, comprising:
1) according to the interception state of the target radiation source burst signal intercepted by the receiver, marking the target radiation source burst signal as an interception state or a loss state in a database;
2) setting a maximum frequency switching time interval and a minimum frequency switching time interval of a receiver, wherein the specific process comprises the following steps:
2.1) acquiring the lowest repetition frequency and the maximum pulse width of an intercepted state burst signal of a current target radiation source in a database;
2.2) setting the lowest repetition frequency as the maximum frequency switching time interval of the receiver, and setting the maximum pulse width as the minimum frequency switching time interval of the receiver;
3) establishing an interception state burst signal set of a target radiation source, determining a burst period according to the established set, and further establishing a prediction model;
4) and solving a prediction model based on the set maximum frequency switching time interval and minimum frequency switching time interval according to the principle of maximum profit, determining the frequency point and time of the next frequency switching of the receiver in the period of the burst signal, and completing the predicted frequency switching of the burst signal.
2. The method according to claim 1, wherein the step 1) comprises the following steps:
1.1) intercepting a burst signal of a target radiation source, checking and counting, if the burst signal of the target radiation source is intercepted for n times continuously within a preset time, setting the checking and counting to be n, resetting the maintenance count to zero, and marking the burst signal of the target radiation source as an intercepted state in a database;
if the burst signal which is not intercepted at one time exists at the following continuous n preset moments, resetting the checking count to zero and keeping the maintenance count to be 1, and intercepting the burst signal of the target radiation source again;
1.2) if the burst signal of the target radiation source is not intercepted for m times continuously within the preset time, setting the maintenance count to m, enabling the checking count to return to zero, and marking the burst signal of the target radiation source as a lost state in a database;
and if the subsequent m continuous preset moments have one interception burst signal, resetting the maintenance count to zero, and intercepting the burst signal of the target radiation source again.
3. The method according to claim 1, wherein the step 3) comprises the following steps:
3.1) establishing an interception state burst signal set of a target radiation source;
3.2) determining the periodic function I (f) of the intercepted burst signal according to the established set as follows:
Figure FDA0003598564940000011
wherein, tiThe arrival time of the capture state burst signal; f is the repetition frequency to be estimated; n is the total number of the capture state burst signals;
3.3) searching the maximum point of the periodic function I (f) to obtain the periodic estimation of the burst signal;
3.4) establishing a prediction model according to the period of the burst signal:
Figure FDA0003598564940000021
wherein V (f, t) is a revenue function; l is the number of target radiation sources; q (i) is the importance weight of the ith target radiation source; f (t, F) is whether the target radiation source appears at the frequency point F and within the time t, and is 1 if the target radiation source appears, and is 0 if the target radiation source does not appear.
4. A predictive burst signal monitoring frequency-slicing system comprising a receiver module, an analog-to-digital converter, a signal processor and a controller;
the receiver module is used for intercepting a burst signal of a target radiation source according to the frequency of a frequency control instruction of the controller and sending the burst signal to the analog-to-digital converter;
the analog-to-digital converter is used for converting the input burst signal into a digital signal and sending the digital signal to the signal processor;
the signal processor is used for marking a target radiation source burst signal as an intercepted state or a lost state, setting a maximum frequency switching time interval and a minimum frequency switching time interval of the receiver and sending the maximum frequency switching time interval and the minimum frequency switching time interval to the controller, and a data acquisition unit and a time interval setting unit are arranged in the signal processor;
the data acquisition unit is used for acquiring the lowest repetition frequency and the maximum pulse width of an intercepted state burst signal of a current target radiation source in the database;
the time interval setting unit is used for setting the lowest repetition frequency as the maximum frequency switching time interval of the receiver, setting the maximum pulse width as the minimum frequency switching time interval of the receiver and sending the minimum frequency switching time interval to the controller at regular time;
the controller is used for determining a frequency control instruction of the receiver according to the interception state of a target radiation source and the set large frequency switching time interval and the set minimum frequency switching time interval, and a set establishing unit, a model establishing unit, a frequency point and time determining unit and a frequency control instruction determining unit are arranged in the controller;
the set establishing unit is used for establishing an interception state burst signal set of a target radiation source;
the model establishing unit is used for determining a burst period according to the established set so as to establish a prediction model;
the frequency point and time determining unit is used for solving a prediction model based on the set maximum frequency switching time interval and minimum frequency switching time interval of the receiver according to the principle of maximum profit and determining the frequency point and time of the next frequency switching of the receiver in the period of the burst signal;
and the frequency control instruction determining unit is used for determining the frequency control instruction of the receiver according to the interception state of the target radiation source and the frequency point and time of the next frequency switching of the receiver in the period of the burst signal.
5. The predictive burst signal monitoring frequency slicing system of claim 4 wherein said signal processor has a database disposed therein; the database is used for marking the target radiation source burst signal as an interception state or a loss state.
6. A processing device comprising a processor, a memory and computer program instructions, wherein said memory has stored therein said computer program instructions executable on said processor, said processor when executing said computer program instructions performing steps for implementing the method for predictive burst signal monitoring frequency slicing according to any one of claims 1-3.
7. A computer readable storage medium having computer program instructions stored thereon for performing the steps corresponding to the method for predictive burst signal monitoring frequency slicing according to any one of claims 1-3 when executed by a processor.
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