CN116781188A - Spread spectrum signal detection method, medium and device based on channelized multi-scale time-frequency accumulation - Google Patents
Spread spectrum signal detection method, medium and device based on channelized multi-scale time-frequency accumulation Download PDFInfo
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- 238000001228 spectrum Methods 0.000 title claims abstract description 40
- 238000001514 detection method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000001914 filtration Methods 0.000 claims abstract description 13
- 238000007499 fusion processing Methods 0.000 claims abstract description 10
- 230000001427 coherent effect Effects 0.000 claims description 27
- 238000000034 method Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000015654 memory Effects 0.000 claims description 8
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- 230000004927 fusion Effects 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/20—Monitoring; Testing of receivers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/35—Constructional details or hardware or software details of the signal processing chain
- G01S19/37—Hardware or software details of the signal processing chain
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/021—Auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/35—Details of non-pulse systems
- G01S7/352—Receivers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
Abstract
The invention provides a spread spectrum signal detection method, medium and device based on channelized multi-scale time-frequency accumulation, comprising the following steps: adopting a multiphase filtering algorithm to respectively carry out channelized treatment on intermediate frequency signals of two independent receiving channels; for the two channelized processing results, adopting time domain sliding phase correlation accumulation processing to obtain a time domain sliding phase correlation accumulation result; carrying out frequency domain sliding phase parameter accumulation on the time domain sliding phase parameter accumulation result to obtain a frequency domain sliding phase parameter accumulation result; estimating the amplitude value of the frequency domain sliding phase parameter accumulation result to obtain an Gao Weixiang parameter accumulation amplitude result; setting different frequency domain sliding phase parameter accumulation scales, and obtaining a high-dimensional phase parameter accumulation amplitude result under the different frequency domain sliding phase parameter accumulation scales according to the processing; and carrying out fusion processing on the amplitude results, selecting the result with the largest amplitude in the fusion processing results, and carrying out spread spectrum signal detection. The invention can solve the problem that the traditional multi-phase filtering-based channelized receiver is difficult to detect spread spectrum signals.
Description
Technical Field
The invention relates to the technical field of signal receiving and processing, in particular to a spread spectrum signal detection method, medium and device based on channelized multi-scale time-frequency accumulation.
Background
As there are many different types of radiation source signals in an electromagnetic environment, such as radar, communication, navigation, etc. With the development of signal processing, more and more radiation sources adopt broadband spread spectrum signals, and meanwhile, the radio frequency is randomly hopped within a large bandwidth range; in the face of complex electromagnetic environments, there are also cases where multiple signals are simultaneously present. Therefore, the spectrum sensing receiver must have a large bandwidth frequency domain coverage, and also needs to have a simultaneous multi-signal processing capability.
A channelized receiver based on polyphase filtering is a typical representation of the high probability of interception and simultaneous multi-signal processing capability for spectrum sensing. However, since the wideband spread spectrum signal spreads energy over a plurality of channels, it is difficult for the conventional channelized receiver to satisfy the receiving processing requirement of the wideband spread spectrum signal.
Disclosure of Invention
The invention aims to provide a spread spectrum signal detection method, medium and device based on channelized multi-scale time-frequency accumulation, so as to solve the problem that a traditional channelized receiver based on multiphase filtering is difficult to detect spread spectrum signals.
The invention provides a spread spectrum signal detection method based on channelized multi-scale time-frequency accumulation, which comprises the following steps:
step 1: adopting a multiphase filtering algorithm to respectively carry out channelized treatment on intermediate frequency signals of two independent receiving channels;
step 2: the method comprises the steps of carrying out time domain sliding phase correlation accumulation processing on the channelized processing results of intermediate frequency signals of two independent receiving channels to obtain time domain sliding phase correlation accumulation results;
step 3: carrying out frequency domain sliding phase parameter accumulation on the time domain sliding phase parameter accumulation result to obtain a frequency domain sliding phase parameter accumulation result;
step 4: estimating the amplitude value of the frequency domain sliding phase parameter accumulation result to obtain an Gao Weixiang parameter accumulation amplitude result;
step 5: setting different frequency domain sliding phase parameter accumulation scales, and processing according to the step 3 and the step 4 respectively to obtain a high-dimensional phase parameter accumulation amplitude result under the different frequency domain sliding phase parameter accumulation scales;
step 6: and carrying out fusion processing on the amplitude results of the high-dimensional phase-coherent accumulation under different frequency domain sliding phase-coherent accumulation scales, selecting the result with the largest amplitude in the fusion processing results, and carrying out spread spectrum signal detection.
Further, in step 1, the result of the channelizing processing of the intermediate frequency signals of the two independent receiving channels is s 1 (m, n) and s 2 (M, n), wherein M represents a channel number, and m=1, 2, …, M is the total number of channels; n is a time sampling point after signaling processing, is a positive integer, and simultaneously sets the bandwidth of each channel as B.
Further, in step 2, a calculation formula of the time domain sliding coherent accumulation process is as follows:
wherein R (m, n) is the time domain sliding coherent accumulation result () * To take conjugate operation, N is the length of time domain sliding coherent accumulation, W t (N) is a time domain low pass filter of length N.
Further, in step 3, the method for performing frequency domain sliding phase parameter accumulation on the time domain sliding phase parameter accumulation result includes:
let the scale of the frequency domain sliding phase parameter accumulation be K, namely, carry out the frequency domain sliding phase parameter accumulation of the time domain sliding phase parameter accumulation results of K adjacent channels, the specific calculation formula is:
wherein R is * (m, n) is the frequency domain sliding coherent accumulation result, W f (K) Is a frequency domain low pass filter of length K.
Further, in step 5, setting the scale of the frequency domain sliding coherent accumulation to be K respectively 1 ,K 2 ,…,K L Wherein L is the number of frequency domain sliding coherent accumulation scales; processing according to the step 3 and the step 4 respectively to obtain a high-dimensional coherent accumulation amplitude result |R under different frequency domain sliding coherent accumulation scales l * (m,n)|,l＝1,2,…,L。
Further, in step 6, if the corresponding scale of the result with the largest amplitude in the fusion processing result is K l_max The bandwidth of the spread spectrum signal is K l_max ·B。
The invention also provides a computer terminal storage medium which stores computer terminal executable instructions for executing the spread spectrum signal detection method based on the channelized multi-scale time-frequency accumulation.
The present invention also provides a computing device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for detecting spread spectrum signals based on channelized multi-scale time-frequency accumulation.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
the method comprises the steps of firstly carrying out channelizing treatment on intermediate frequency signals received by two channels based on a multiphase filtering algorithm, and then adopting time domain sliding phase-coherent accumulation to improve the detection sensitivity of spread spectrum signals; finally, aiming at the problem of unknown bandwidth of the spread spectrum signal, the detection sensitivity of the spread spectrum signal is further improved by adopting multi-scale frequency domain sliding coherent accumulation, and simultaneously, the bandwidth of the spread spectrum signal can be estimated by combining amplitude fusion comparison of the multi-scale frequency domain sliding coherent accumulation. Therefore, the invention can solve the problem that the traditional multi-phase filtering-based channelized receiver is difficult to detect spread spectrum signals.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly describe the drawings in the embodiments, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered as limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a spread spectrum signal detection method based on channelized multi-scale time-frequency accumulation in an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a channelization process based on a polyphase filtering algorithm in an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
As shown in fig. 1, this embodiment proposes a spread spectrum signal detection method based on channelized multi-scale time-frequency accumulation, which includes the following steps:
step 1: adopting a multiphase filtering algorithm to respectively signal intermediate frequency signals of two independent receiving channelsCarrying out a channelizing treatment; the result of the channelized processing of the intermediate frequency signals of the two independent receiving channels is s respectively 1 (m, n) and s 2 (M, n), wherein M represents a channel number, and m=1, 2, …, M is the total number of channels; n is a time sampling point after signaling processing, is a positive integer, and simultaneously sets the bandwidth of each channel as B. It should be noted that, the channelized processing framework based on the polyphase filtering algorithm may be implemented by using the prior art, or may be designed according to needs.
Step 2: channelizing the result s of the intermediate frequency signal of two independent reception channels 1 (m, n) and s 2 (m, n) adopting time domain sliding phase correlation accumulation processing to obtain a time domain sliding phase correlation accumulation result R (m, n); the specific calculation formula is as follows:
wherein () * To take conjugate operation, N is the length of time domain sliding coherent accumulation, W t (N) is a time domain low pass filter of length N.
Step 3: setting the scale of frequency domain sliding phase parameter accumulation as K, namely performing frequency domain sliding phase parameter accumulation on time domain sliding phase parameter accumulation results R (m, n) of K adjacent channels to obtain a frequency domain sliding phase parameter accumulation result R * (m, n), the specific calculation formula is:
wherein W is f (K) Is a frequency domain low pass filter of length K.
Step 4: the frequency domain sliding phase-coherent accumulation result R * (m, n) estimating amplitude value to obtain Gao Weixiang parameter accumulated amplitude result |R * (m,n)|；
Step 5: setting the frequency domain sliding coherent accumulation scale as K respectively 1 ,K 2 ,…,K L Wherein L is the number of frequency domain sliding coherent accumulation scales; processing according to the step 3 and the step 4 respectively to obtain different frequency domainsAmplitude result |R of high-dimensional coherent accumulation under sliding coherent accumulation scale l * (m,n)|,l＝1,2,…,L。
Step 6: the amplitude result |R of high-dimensional coherent accumulation under different frequency domain sliding coherent accumulation scales l * (m, n) |, l=1, 2, …, L, and selecting the fusion result |r l * (m, n) |, l=1, 2, …, and carrying out spread spectrum signal detection on the result with the largest amplitude in the L, if the corresponding scale of the result with the largest amplitude in the fusion processing result is K l_max The bandwidth of the spread spectrum signal is K l_max ·B。
Furthermore, in some embodiments, a computer terminal storage medium is provided, storing computer terminal executable instructions for performing a spread spectrum signal detection method based on channelized multi-scale time-frequency accumulation as described in the previous embodiments. Examples of the computer storage medium include magnetic storage media (e.g., floppy disks, hard disks, etc.), optical recording media (e.g., CD-ROMs, DVDs, etc.), or memories such as memory cards, ROMs, or RAMs, etc. The computer storage media may also be distributed over network-connected computer systems, such as stores for application programs.
Furthermore, in some embodiments, a computing device is presented comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a spread spectrum signal detection method based on channelized multi-scale time-frequency accumulation as described in the previous embodiments. Examples of computing devices include PCs, tablets, smartphones, PDAs, etc.
Examples:
step 1: adopting a multiphase filtering algorithm to respectively carry out channelized treatment on intermediate frequency signals of two independent receiving channels; the schematic block diagram of the channelization process based on the polyphase filtering algorithm in this embodiment is shown in fig. 2, and thus the result of the channelization process of the intermediate frequency signals of the two independent receiving channels is s respectively 1 (m, n) and s 2 (M, n), where M represents a channel number, and m=1, 2, …, M, m=128 is the total number of channels; n is a time sampling point after the signaling processing, is a positive integer, and simultaneously sets the bandwidth of each channel to b=10mhz.
Step 2: channelizing the result s of the intermediate frequency signal of two independent reception channels 1 (m, n) and s 2 (m, n) adopting time domain sliding phase correlation accumulation processing to obtain a time domain sliding phase correlation accumulation result R (m, n); the specific calculation formula is as follows:
let the length n=16 of the time-domain sliding phase-coherent accumulation, the time domain is 16-point phase-coherent accumulation. W (W) t (N) may be a general time-domain low-pass filter, W is taken in this embodiment t (N)＝[1,1,…,1]I.e. W t (N) is a vector with a length of N and a value of 1.
Step 3: setting the scale of frequency domain sliding phase parameter accumulation as K, namely performing frequency domain sliding phase parameter accumulation on time domain sliding phase parameter accumulation results R (m, n) of K adjacent channels to obtain a frequency domain sliding phase parameter accumulation result R * (m, n), the specific calculation formula is:
wherein W is f (K) In this embodiment, W may be taken as the frequency domain low-pass filter with length K f (K)＝[1,1,…,1]I.e. W f (K) A vector of length K and a value of 1.
Step 4: the frequency domain sliding phase-coherent accumulation result R * (m, n) estimating amplitude value to obtain Gao Weixiang parameter accumulated amplitude result |R * (m,n)|；
Step 5: setting the frequency domain sliding coherent accumulation scales as 2,4,8 and 16 respectively; processing according to the step 3 and the step 4 respectively to obtain a high-dimensional coherent accumulation amplitude result |R under different frequency domain sliding coherent accumulation scales 2 * (m,n)|、|R 4 * (m,n)|、|R 8 * (m,n)|、|R 16 * (m,n)|。
Step 6: assume that the largest magnitude result in the fusion processing results is |R 8 * (m, n) |, the corresponding scale is 8, then the bandwidth of the spread spectrum signal is 8 x 10 mhz=80 MHz.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A spread spectrum signal detection method based on channelized multi-scale time-frequency accumulation is characterized by comprising the following steps:
step 1: adopting a multiphase filtering algorithm to respectively carry out channelized treatment on intermediate frequency signals of two independent receiving channels;
step 2: the method comprises the steps of carrying out time domain sliding phase correlation accumulation processing on the channelized processing results of intermediate frequency signals of two independent receiving channels to obtain time domain sliding phase correlation accumulation results;
step 3: carrying out frequency domain sliding phase parameter accumulation on the time domain sliding phase parameter accumulation result to obtain a frequency domain sliding phase parameter accumulation result;
step 4: estimating the amplitude value of the frequency domain sliding phase parameter accumulation result to obtain an Gao Weixiang parameter accumulation amplitude result;
step 5: setting different frequency domain sliding phase parameter accumulation scales, and processing according to the step 3 and the step 4 respectively to obtain a high-dimensional phase parameter accumulation amplitude result under the different frequency domain sliding phase parameter accumulation scales;
step 6: and carrying out fusion processing on the amplitude results of the high-dimensional phase-coherent accumulation under different frequency domain sliding phase-coherent accumulation scales, selecting the result with the largest amplitude in the fusion processing results, and carrying out spread spectrum signal detection.
2. The channelized-based multi-component system of claim 1A detection method of scale time-frequency accumulated spread spectrum signals is characterized in that in step 1, the channelized processing results of intermediate frequency signals of two independent receiving channels are s respectively 1 (m, n) and s 2 (M, n), wherein M represents a channel number, and m=1, 2, …, M is the total number of channels; n is a time sampling point after signaling processing, is a positive integer, and simultaneously sets the bandwidth of each channel as B.
3. The method for detecting spread spectrum signals based on channelized multi-scale time-frequency accumulation according to claim 2, wherein in step 2, a calculation formula of time-domain sliding coherent accumulation processing is:
wherein R (m, n) is the time domain sliding coherent accumulation result () * To take conjugate operation, N is the length of time domain sliding coherent accumulation, W t (N) is a time domain low pass filter of length N.
4. The method for detecting spread spectrum signals based on channelized multi-scale time-frequency accumulation according to claim 3, wherein in step 3, the method for performing frequency domain sliding phase correlation accumulation on the time domain sliding phase correlation accumulation result is as follows:
let the scale of the frequency domain sliding phase parameter accumulation be K, namely, carry out the frequency domain sliding phase parameter accumulation of the time domain sliding phase parameter accumulation results of K adjacent channels, the specific calculation formula is:
wherein R is * (m, n) is the frequency domain sliding coherent accumulation result, W f (K) Is a frequency domain low pass filter of length K.
5. The channelized multiscale time-frequency accumulation-based system of claim 4A spread spectrum signal detection method is characterized in that in step 5, the frequency domain sliding phase-coherent accumulation scales are set to be K respectively 1 ,K 2 ,…,K L Wherein L is the number of frequency domain sliding coherent accumulation scales; processing according to the step 3 and the step 4 respectively to obtain a high-dimensional coherent accumulation amplitude result |R under different frequency domain sliding coherent accumulation scales l * (m,n)|,l＝1,2,…,L。
6. The method for detecting spread spectrum signals based on channelized multi-scale time-frequency accumulation as claimed in claim 5, wherein in step 6, if the scale corresponding to the result with the largest amplitude in the fusion processing result is K l_max The bandwidth of the spread spectrum signal is K l_max ·B。
7. A computer terminal storage medium storing computer terminal executable instructions for performing the method for detecting spread spectrum signals based on channelized multi-scale time-frequency accumulation according to any one of claims 1 to 6.
8. A computing device, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the channelized multi-scale time-frequency accumulation based spread spectrum signal detection method as claimed in any one of claims 1 to 6.
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