CN111585593B - Ultra-wideband signal interference suppression method and system - Google Patents

Ultra-wideband signal interference suppression method and system Download PDF

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CN111585593B
CN111585593B CN202010220440.3A CN202010220440A CN111585593B CN 111585593 B CN111585593 B CN 111585593B CN 202010220440 A CN202010220440 A CN 202010220440A CN 111585593 B CN111585593 B CN 111585593B
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CN111585593A (en
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闫伟豪
安建平
王帅
金鑫
杨烜赫
贺梦尧
马啸
崔灿
宋哲
方金辉
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Beijing Institute of Technology BIT
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details 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
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details 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
    • H04B1/06Receivers
    • H04B1/10Means associated with receiver for limiting or suppressing noise or interference
    • H04B1/1027Means associated with receiver for limiting or suppressing noise or interference assessing signal quality or detecting noise/interference for the received signal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006Arrangements for removing intersymbol interference
    • H04L25/03159Arrangements for removing intersymbol interference operating in the frequency domain

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Abstract

The embodiment of the invention provides an ultra-wideband signal interference suppression method and system, which can realize frequency domain interference identification and suppression on a high-throughput ultra-wideband signal, adopts a frequency domain interference suppression technology, considers the finite length truncation of time domain frequency domain conversion, realizes dual-channel overlapping windowing processing through delay processing, and suppresses frequency spectrum leakage and waveform distortion caused by signal truncation; finally, the signal after interference suppression is obtained after frequency domain interference processing, the ultra-wideband signal does not need to be extracted, the interference can be directly identified and suppressed on the target signal with high sampling rate and large throughput, and the system operation amount can be reduced.

Description

Ultra-wideband signal interference suppression method and system
Technical Field
The present invention relates to the field of signal processing technologies, and in particular, to a method and a system for suppressing interference of an ultra wideband signal.
Background
With the development of communication technology, on one hand, the requirement on the effectiveness of information transmission is continuously improved, the radio frequency can work in Ka wave band in the occasions of satellite communication and the like, and the radio frequency has very large signal bandwidth; on the other hand, the reliability of information transmission is also seriously examined, and the ultra-wideband signal introduces a complex strong interference signal and needs a more advanced interference suppression means.
Aiming at common types of interference, the main suppression method comprises two main categories of time domain suppression technology and frequency domain suppression technology, wherein the time domain suppression technology is mainly used for distinguishing and eliminating interference influence based on the difference of correlation between spread spectrum signals and interference signals; the frequency domain suppression technique is to remove a few interference components by an interference notching technique. Compared with the frequency domain suppression technology, the time domain suppression technology needs a long convergence time for eliminating the strong interference component, and cannot process the time-varying interference.
In the frequency-domain suppression technique, in order to detect an interference component in a frequency-domain signal, an averaging method, a modified median method, and a successive mean-subtraction method may be generally employed. When a large-bandwidth high-power signal is identified by the averaging method, the threshold value calculated by the interference signal modulus square term is far higher than the actual requirement; the improved median method needs to carry out sequencing operation to realize too high complexity; the successive mean value subtraction method is a method for successive iteration to approach an optimal threshold, but the number of iterations for the ultra-wideband signal is too large, which means that the processing delay of the system is increased.
For an ultra-wideband signal, a signal is extracted in multiple stages, and a sampling rate is reduced to perform interference identification and suppression at a baseband, but this method causes aliasing in the extraction process to introduce an additional interference component, which affects an effective signal component. Therefore, it is desirable to provide a method and a system for suppressing interference of ultra wideband signals.
Disclosure of Invention
To overcome the above problems or at least partially solve the above problems, embodiments of the present invention provide an ultra wideband signal interference suppression method and system.
In a first aspect, an embodiment of the present invention provides a method for suppressing interference of an ultra wideband signal, including:
acquiring a target signal, and respectively performing windowing processing and delay processing on the target signal;
converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal;
windowing a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal;
and superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
Preferably, the converting a first result obtained by performing windowing on the target signal from a time domain to a frequency domain specifically includes:
converting the first result from a time domain to a frequency domain by using an FFT module which is extracted according to time based on a Kully-graph-based algorithm to obtain a first frequency domain result;
the first frequency domain result comprises a first preset number of paths of frequency domain data, and each path of frequency domain data comprises a second preset number of data points.
Preferably, the converting a first result obtained by performing windowing on the target signal from a time domain to a frequency domain further includes:
and performing multi-stage butterfly operation on the first frequency domain result and sequentially adjusting each path of frequency domain data to obtain a second frequency domain result.
Preferably, after converting the first result obtained by performing the windowing on the target signal from the time domain to the frequency domain, the performing the frequency domain interference processing specifically includes:
detecting interference components existing in the second frequency domain result based on an accumulated spectrum method and a double-threshold discrimination method, and carrying out zero setting on the interference components to obtain a third frequency domain result;
and performing self-adaptive bit cutting on the third frequency domain result based on a peak accumulation grid decision method to obtain the second result.
Preferably, the detecting the interference component existing in the second frequency domain result based on the accumulated spectrum method and the double-threshold discrimination method specifically includes:
accumulating a third preset number of second frequency domain results, performing cumulative averaging on the frequency spectrum data at the same frequency point position in all the second frequency domain results by adopting a cumulative spectrum method, and determining the minimum value of the cumulative average results which are in a signal bandwidth range after the cumulative averaging;
determining a first threshold value and a second threshold value based on the minimum value and a double-threshold discrimination method; the first threshold value is greater than the second threshold value;
and determining a first target spectrum component in the second frequency domain result corresponding to a first target cumulative average result which is higher than the first threshold value in all cumulative average results and a second target spectrum component in a plurality of second target cumulative average results which are higher than the second threshold value and adjacent to the first target spectrum component, and taking the first target spectrum component and the second target spectrum component as the interference components.
Preferably, the adaptively truncating the third frequency domain result based on the peak accumulation grid decision method to obtain the second result specifically includes:
determining a local maximum value of the frequency spectrum data in each third frequency domain result, and determining a global maximum value of the frequency spectrum data in all the third frequency domain results;
inputting the global maximum value into a hysteresis comparator, and outputting truncation information by the hysteresis comparator;
and based on the bit cutting information, cutting the third frequency domain result to obtain the second result.
Preferably, the hysteresis comparator is prestored with a first threshold and a second threshold, and the first threshold is greater than the second threshold; accordingly, the number of the first and second electrodes,
the inputting the global maximum value into a hysteresis comparator, and outputting the truncation information by the hysteresis comparator specifically include:
comparing the global maximum value with the first threshold value and the second threshold value, if the global maximum value is greater than the first threshold value, the truncation information is to shift the third frequency domain result to the right, and supplement a sign bit of the third frequency domain result on the left; and if the global maximum value is smaller than the second threshold, the truncation information is to perform left shift on the third frequency domain result and fill zero on the right side.
In a second aspect, an embodiment of the present invention provides an ultra-wideband signal interference suppression system, including: the device comprises a processing module, a first branch signal determining module, a second branch signal determining module and a superposition module. Wherein the content of the first and second substances,
the processing module is used for acquiring a target signal and respectively performing windowing processing and delay processing on the target signal;
the first branch signal determining module is used for converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal;
the second branch signal determining module is used for performing windowing processing on a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal;
and the superposition module is used for superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for ultra wideband signal interference suppression as described in the first aspect when executing the program.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for ultra-wideband signal interference suppression according to the first aspect.
The method comprises the steps of firstly obtaining a target signal, and respectively carrying out windowing processing and delay processing on the target signal; then converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal; windowing a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal; and finally, superposing the first branch signal and the second branch signal to obtain a signal after interference suppression. The method provided by the embodiment of the invention can realize frequency domain interference identification and inhibition on the high-throughput ultra-wideband signal, adopts the frequency domain interference inhibition technology, considers the limited length truncation of time domain frequency domain conversion, realizes double-channel overlapping windowing processing through delay processing, and inhibits the frequency spectrum leakage and waveform distortion caused by signal truncation; finally, the signal after interference suppression is obtained after frequency domain interference processing, the ultra-wideband signal does not need to be extracted, the interference can be directly identified and suppressed on the target signal with high sampling rate and large throughput, and the system operation amount can be reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of an ultra-wideband signal interference suppression method according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a complete flow of processing a target signal in an ultra wideband signal interference suppression method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a process of converting a time-domain signal in a first signal branch into a frequency domain through an FFT module, performing frequency-domain interference processing through a frequency-domain processing module, and converting the time domain signal into the frequency domain through an IFFT module in the method for suppressing interference of an ultra-wideband signal according to the embodiment of the present invention;
fig. 4 is a schematic diagram of five-stage butterfly operations in an FFT module in the method for suppressing interference of an ultra wideband signal according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an ultra-wideband signal interference suppression system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for suppressing interference of an ultra wideband signal, including:
s1, acquiring a target signal, and respectively performing windowing processing and delay processing on the target signal;
s2, converting a first result obtained by windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained by frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal;
s3, performing windowing on a third result obtained after delaying the target signal, converting a fourth result obtained after windowing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal;
and S4, superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
Specifically, an embodiment of the present invention provides an ultra-wideband signal interference suppression method, where an execution subject is a server, specifically, a computer or a cloud server, and this is not particularly limited in the embodiment of the present invention.
The target signal is an ultra-wideband signal with frequency domain components above 1GHz, and according to the Nyquist sampling law, the sampling rate of the digital signal is that the throughput rate of the system is not less than 2 times of the bandwidth. The signal bandwidth in the embodiment of the invention is 2GHz, the sampling rate is 5GHz, the high-throughput ultra-bandwidth signal is directly processed without extraction, namely the throughput of the system is 5Gsps, 32 paths of parallel input are adopted, and the sampling rate of each path is equal to the system clock frequency of 156.23 MHz.
As shown in fig. 2, when the server processes the target signal, in the embodiment of the present invention, the processing process may be divided into a first signal branch and a second signal branch, and a first branch signal is obtained through the first signal branch and a second branch signal is obtained through the second signal branch. Wherein, the processing flow of the first signal branch comprises: performing windowing processing, time domain and frequency domain conversion, frequency domain interference processing, frequency domain and time domain conversion and delay processing on a target signal; the processing flow of the second signal branch comprises the following steps: and carrying out delay processing, windowing processing, time domain and frequency domain conversion, frequency domain interference processing and frequency domain and time domain conversion on the target signal. And finally, superposing the first branch signal and the second branch signal to obtain a superposition result, namely the result after interference suppression. Therefore, in the embodiment of the present invention, step S1 is executed first; then, steps S2 and S3 are executed, the processing of the first signal branch and the processing of the second signal branch are respectively performed, and the steps S2 and S3 are performed simultaneously without sequencing; finally, step S4 is performed.
In step S1, the processing flow of the first signal branch and the second signal branch is started simultaneously. The frequency domain suppression technology needs to perform time domain and frequency domain conversion in real time, but the time domain and frequency domain conversion usually implies time sequence truncation of a finite-length sequence, and energy leakage can occur in a frequency domain, so that in the embodiment of the invention, a window processing is firstly performed on a target signal in a first signal branch, and specifically, the window processing can be realized by adding a window function, so that a data boundary becomes smooth when the frequency domain is converted into the time domain, thereby ensuring that interference energy after conversion is concentrated in a finite area as much as possible, and reducing the energy leakage problem of FFT. Because single-channel windowing is equivalent to amplitude modulation of a target signal, waveform distortion of the target signal is caused, and noise power with time-varying characteristics is introduced, dual-channel overlapping windowing is provided in the embodiment of the invention, namely windowing is performed on a third result obtained after delay processing is performed on the target signal in a second signal branch, so that spectrum leakage and waveform distortion caused by signal truncation can be inhibited.
In the embodiment of the invention, the length of each time-frequency domain conversion is 1024 sampling points, which correspond to 32 sampling points in 32 paths of parallel input signals respectively. In the embodiment of the present invention, the target signal is delayed by 50%, for example, every 1024 sampling points in the target signal are processed once, the 1 st to 1024 th sampling points are processed in the first signal branch, and the 513 th to 1536 th sampling points are processed in the second signal branch. In this way, 50% overlap can be achieved between the windowing in the first signal branch and the windowing in the second signal branch, so that the signal-to-noise ratio loss of the windowing is almost zero. It should be noted that the windowing type in the embodiment of the present invention may specifically be a hanning window.
In step S2, a time domain and a frequency domain are performed on the first result obtained after the windowing process is performed on the target signal, that is, the time domain is converted into a frequency domain, which may be specifically implemented by an FFT module. And after the time domain and the frequency domain are converted, carrying out frequency domain interference processing, identifying and deleting the interference component in the first result on the frequency domain, and adjusting the effective digit of the signal obtained after deleting the interference component. And performing frequency domain and time domain conversion on a second result obtained after the frequency domain interference processing, namely converting the frequency domain into the time domain, and specifically realizing the conversion by an IFFT module. And after frequency domain and time domain conversion, performing delay processing to obtain a first branch signal. Since the first branch signal and the second branch signal are finally required to be superimposed, it is required to ensure that the first branch signal and the second branch signal correspond to each other in the time domain, and therefore, a result obtained by frequency-domain and time-domain conversion of the second result needs to be delayed. In the embodiment of the present invention, the lengths of the FFT module and the IFFT module may be 1024 points, and the total number of delay points for delay processing may be specifically half the length of the FFT module/IFFT module, that is, the processing time for waiting 512 sampling points.
The difference between step S3 and step S2 is only that the windowing operation and the delay reducing operation are added to the third result obtained after the delay processing is performed on the target signal, and the other processes are identical, that is, in the first signal branch and the second signal branch, the difference is only that the first signal branch is finally performed with the delay processing, and the second signal branch is firstly performed with the delay processing.
In step S4, the first branch signal and the second branch signal are superimposed to obtain a signal after interference suppression.
The method for suppressing the interference of the ultra-wideband signal, provided by the embodiment of the invention, comprises the steps of firstly obtaining a target signal, and respectively carrying out windowing processing and delay processing on the target signal; then converting a first result obtained after windowing the target signal from a time domain into a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain into the time domain, and performing delay processing to obtain a first branch signal; windowing a third result obtained after delaying the target signal, converting a fourth result obtained after windowing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal; and finally, superposing the first branch signal and the second branch signal to obtain a signal after interference suppression. The method provided by the embodiment of the invention can realize frequency domain interference identification and inhibition on the high-throughput ultra-wideband signal, adopts the frequency domain interference inhibition technology, considers the limited length truncation of time domain frequency domain conversion, realizes double-channel overlapping windowing processing through delay processing, and inhibits the frequency spectrum leakage and waveform distortion caused by signal truncation; finally, the signal after interference suppression is obtained after frequency domain interference processing, the ultra-wideband signal does not need to be extracted, the interference can be directly identified and suppressed on the target signal with high sampling rate and large throughput, and the system operation amount can be reduced.
On the basis of the foregoing embodiment, in the method for suppressing interference of an ultra wideband signal provided in the embodiment of the present invention, each processing action may be modularized, that is, windowing is performed on an input signal by a windowing module, delay processing is performed on the input signal by a delay module, time domain conversion into frequency domain is performed on the input signal by an FFT module, interference suppression is performed on the input signal by a frequency domain interference processing module, and frequency domain conversion into time domain is performed on the input signal by an IFFT module. Therefore, for the first signal branch, the target signal may sequentially pass through the first windowing module, the first FFT module, the frequency domain interference processing module, the first IFFT module, and the first delay module; for the second signal branch, the target signal may sequentially pass through the second delay module, the second windowing module, the second FFT module, the frequency domain interference processing module, and the second IFFT module. It should be noted that "first" and "second" are only used to distinguish between different signal branches, the first windowing module and the second windowing module have the same function, the first FFT module and the second FFT module have the same function, the first IFFT module and the second IFFT module have the same function, and the first delay module and the second delay module have the same function.
On the basis of the foregoing embodiment, the method for suppressing interference in an ultra wideband signal according to an embodiment of the present invention, where the first result obtained after the windowing is converted from a time domain to a frequency domain, specifically includes:
converting the first result from a time domain to a frequency domain by using an FFT module which is extracted according to time based on a Kully-graph-based algorithm to obtain a first frequency domain result;
the first frequency domain result comprises a first preset number of paths of frequency domain data, and each path of frequency domain data comprises a second preset number of data points.
In particular, the inventionIn the embodiment of the present invention, only the example that the first result is converted from the time domain to the frequency domain is taken as an example, and the processing procedure is consistent if the first result is converted from the time domain to the frequency domain or the fourth result is converted from the time domain to the frequency domain. In the embodiment of the invention, the time domain is converted into the frequency domain by adopting an FFT module, the FFT module is specifically constructed by a method for extracting according to time based on a Kully-graph-based algorithm, and is an FFT structure for extracting according to time in a full parallel mode. For example, the FFT module has a fourier transform point number of N1024 points, that is, for each N1024 sampling points of the target signal, time-extracting is performed to obtain a first predetermined number of a channels of data, that is, extracting an interval is a first predetermined number of a sampling points, each channel of data includes a second predetermined number of b sampling points (i.e., data points), and the first predetermined number a is 2xA is 32, b is 32 (x is a positive integer). Then the 1 st sampling point is the first data point of the 1 st data, the 2 nd sampling point is the first data point of the 2 nd data, … …, the 32 th sampling point is the first data point of the 32 nd data, the 33 rd sampling point is the second data point of the 1 st data, and the cycle is repeated.
Then, the FFT module performs time-domain to frequency-domain conversion with a length of N/32 ═ 32 points on each of the 32 channels of data input in parallel, to obtain frequency domains corresponding to the 32 channels of data, which are called first frequency domain results. It should be noted that, the FFT operation is performed on each of the 32 paths of data, and the obtained first frequency domain result is not the frequency domain of the first result, but the frequency domain result of each path of 32 points.
According to the method for suppressing the interference of the ultra-wideband signal, provided by the embodiment of the invention, FFT operation is carried out on a section of data with the length of 1024 sampling points in a target signal according to a Kully-graph-based algorithm, so that time domain and frequency domain conversion can be simplified to respectively carry out 32-path parallel data with the length of 32 points, and then butterfly operation and sequential adjustment are carried out, thus realizing multi-path parallel processing and reducing the resource consumption of a system.
On the basis of the foregoing embodiment, the method for suppressing interference of an ultra wideband signal according to the present invention converts a second result obtained after processing frequency domain interference from a frequency domain to a time domain, and specifically includes:
and converting the second result from the frequency domain into the time domain by using an IFFT module which performs time extraction based on a Colly-graph-based algorithm.
Specifically, in the embodiment of the present invention, the processing procedure of converting the second result from the frequency domain into the time domain or converting the fifth result from the frequency domain into the time domain is consistent, and the embodiment of the present invention only takes the example of converting the second result from the frequency domain into the time domain as an example. In the embodiment of the invention, the time domain is converted into the frequency domain by adopting an IFFT module, and the IFFT module is an IFFT structure which is extracted in parallel according to time. The operation realized by the IFFT module and the operation realized by the FFT module are inverse processes, namely the IFFT module can perform IFFT operation on a section of data with the length of 1024 sampling points, respectively perform frequency domain-to-time domain conversion with the length of 32 points on 32 paths of parallel data with the length of 32 points, and then perform butterfly operation and sequential adjustment, so that multi-path parallel processing can be realized, and the resource consumption of a system is reduced.
It should be noted that, in the embodiment of the present invention, 32 paths of data are respectively subjected to IFFT operation, and an obtained result is not a time domain of the second result, but a time domain result of each path of 32 points.
On the basis of the foregoing embodiment, the method for suppressing interference in an ultra wideband signal according to an embodiment of the present invention, where a first result obtained by performing windowing on the target signal is converted from a time domain to a frequency domain, further includes:
and performing multi-stage butterfly operation on the first frequency domain result and sequentially adjusting each path of frequency domain data to obtain a second frequency domain result.
Specifically, in the embodiment of the present invention, the FFT module is configured to not only convert each input channel in the first result into a frequency domain, but also perform a multi-stage butterfly operation on the first frequency domain result, and adjust a sequence of each channel of frequency domain data in the first frequency domain result to obtain a second frequency domain result, where the second frequency domain result also includes a first preset number of channels of frequency domain data, and each channel of frequency domain data also includes a second preset number of data points. Namely, the FFT module specifically comprises an FFT submodule, a multistage butterfly operation submodule and an output sequence adjustment submodule, the FFT submodule specifically comprises a 32-point FFT kernel, time domain and frequency domain conversion is performed on 32 parallel paths of time domain data with the length of 32 points, the 32-point FFT kernel is realized by using the existing linear structure, the 32 paths are simultaneously performed, the first result is converted into a frequency domain from a time domain, and a first frequency domain result is obtained. And the multistage butterfly operation submodule sequentially reads the FFT operation results of each path and the twiddle factors stored in advance to carry out butterfly operation, and 32 paths of parallel frequency domain data of each 32 points are obtained. And the output sequence adjusting submodule carries out sequencing operation according to the 32 paths of parallel data obtained by the multistage butterfly operation submodule to obtain a frequency domain waveform output in a natural sequence. Preferably, the output order adjusting submodule in the embodiment of the present invention may convert 32 paths of parallel data obtained by the multistage butterfly operation submodule into 32 paths of parallel output or one path of serial output, which is not specifically limited in the embodiment of the present invention.
On the basis of the foregoing embodiment, the method for suppressing interference of an ultra wideband signal according to an embodiment of the present invention, after converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and before performing the delay processing, further includes:
and performing multi-stage butterfly operation and sequential adjustment of each path of time domain data on the result obtained by converting the second result from the frequency domain into the time domain.
Specifically, in the embodiment of the present invention, the IFFT module is configured to not only convert the 32 channels of the second result from the frequency domain to the time domain, but also perform a multi-stage butterfly operation on the result obtained by converting the second result from the frequency domain to the time domain, and adjust the sequence of the time domain data in each channel of the result. Namely, the IFFT module specifically includes an IFFT sub-module, a multi-stage butterfly operation sub-module, and an output sequence adjustment sub-module, where the IFFT sub-module specifically includes a 32-point IFFT core, and performs frequency domain-time domain conversion on 32 parallel channels of frequency domain data with a length of 32 points, where the 32-point IFFT core is implemented using an existing linear structure, and the 32 channels are implemented simultaneously, so as to implement conversion of the second result from a frequency domain to a time domain. And the multistage butterfly operation submodule sequentially reads the IFFT operation result of each path and the rotation factor stored in advance to perform butterfly operation, so that 32 paths of parallel 32-point time domain data are obtained. And the output sequence adjusting submodule carries out sequencing operation according to the 32 paths of parallel data obtained by the multistage butterfly operation submodule to obtain a time domain waveform output in a natural sequence. Preferably, the output order adjusting submodule in the embodiment of the present invention may convert 32 paths of parallel data obtained by the multistage butterfly operation submodule into 32 paths of parallel output or one path of serial output, which is not specifically limited in the embodiment of the present invention. It should be noted that, compared with the multi-stage butterfly operation sub-modules in the FFT module, the multi-stage butterfly operation sub-modules in the IFFT module store twiddle factors that are conjugate to each other.
As shown in fig. 3, a schematic diagram of a process of converting a time-domain signal in the first signal branch from a time domain to a frequency domain through the FFT module, performing frequency-domain interference processing through the frequency-domain processing module, and converting the time domain to the frequency domain through the IFFT module is shown.
Since 32 is 25Therefore, the multi-stage butterfly operation may specifically adopt a five-stage butterfly operation. The length of the FFT module is N points, the input sequence of the FFT module is x (N), the value of N is 1 to N, and the value of N can be 1024. The output of the FFT module is a second frequency domain result x (k), and k takes a value from 1 to N. Then the following equations (1) and (2) hold:
Figure BDA0002425878860000131
Figure BDA0002425878860000132
wherein the content of the first and second substances,
Figure BDA0002425878860000133
is a rotation factor, X, corresponding to the kth data point in the frequency domaina(k) And Xb(k) Is the FFT operation result of odd sequence and even sequence with the length of N/2 points, and only needs to solve
Figure BDA0002425878860000134
X corresponding to each integer k in the intervala(k) And Xb(k) The value of (b) is obtained by obtaining the values of all X (k) in the interval of (0-N-1), and carrying out the process on X (k)The resolution is carried out for 5 times, and then the following formula (3) can be obtained:
Figure BDA0002425878860000141
wherein, Xa(k) And outputting the kth data point in the a-th path of frequency domain data in the first frequency domain result, wherein due to the symmetry of the twiddle factor, all frequency domain output values of the high-throughput signal can be obtained through five-stage butterfly operation by only calculating 32-point FFT outputs in the 32 paths of frequency domain data, namely obtaining a second frequency domain result.
Fig. 4 is a schematic diagram of a five-stage butterfly operation in the FFT module according to the embodiment of the present invention. In fig. 4, the left sequence number indicates the sequence number in the time domain signal with the total length of 1024 points corresponding to the respective input data of 32 channels at the i +1 th input, and the value of i is 0 to 31. Each system clock rising edge of each path inputs 1, 32 paths of system clock rising edges input 32 time domain data in total, and the data is recorded as the (i + 1) th group of input data. According to the formula (3), the (i + 1) th group of input data needs to undergo 5 butterfly operations as shown in fig. 4 to obtain corresponding frequency domain components, and the twiddle factor of each stage is only related to the current group number i. The first stage butterfly has a twiddle factor of
Figure BDA0002425878860000142
The second stage butterfly has a twiddle factor of
Figure BDA0002425878860000143
The third stage butterfly has a twiddle factor of
Figure BDA0002425878860000144
The rotation factor of the fourth stage butterfly is
Figure BDA0002425878860000145
The fifth stage of the butterfly operation has a twiddle factor of
Figure BDA0002425878860000146
Because the input data are parallel, the first stage butterfly operation can be performed among specific input sequences according to requirements, and from the second stage, the scale of each stage of butterfly operation is doubled in sequence, and finally, the frequency domain components output in a natural sequence are obtained. The multistage butterfly operation provided by the embodiment of the invention adopts a pipeline mode, when the ith group of data is operated to the second stage, the (i + 1) th group of data can be changed into a twiddle factor to carry out the first stage operation, and so on. The right sequence number in fig. 4 represents the sequence of the frequency components output by each path of the (i + 1) th group in the natural arrangement of 1024-point frequency components from small to large, and N in the twiddle factors is the number of FFT points and is equal to 1024. In the case of the multi-stage butterfly operation in the IFFT block, the twiddle factors in fig. 4 need to be conjugated, and the input signal needs to be replaced with 32-way IFFT output.
On the basis of the foregoing embodiment, the method for suppressing interference in an ultra wideband signal according to an embodiment of the present invention includes, after converting a first result obtained by windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, specifically:
detecting interference components existing in the second frequency domain result based on an accumulated spectrum method and a double-threshold discrimination method, and carrying out zero setting on the interference components to obtain a third frequency domain result;
and performing self-adaptive bit cutting on the third frequency domain result based on a peak accumulation grid decision method to obtain the second result.
Specifically, in the embodiment of the present invention, when performing the frequency domain interference processing, the specific operation flows are consistent whether the first result is converted from the time domain into the frequency domain or the fourth result is converted from the time domain into the frequency domain, in which the embodiment of the present invention only takes the case of performing the frequency domain interference processing after the first result is converted from the time domain into the frequency domain, that is, performing the frequency domain interference processing on the second frequency domain result. Firstly, detecting interference components existing in a second frequency domain result, and then deleting (namely, zeroing) the detected interference components to obtain a third frequency domain result; and finally, carrying out self-adaptive bit cutting on the third frequency domain result. Accordingly, the frequency-domain interference processing module may specifically include a frequency-domain interference detection module, a frequency-domain interference deletion module, and an adaptive bit-slicing module.
When the frequency domain interference detection module detects interference components existing in the second frequency domain results, an accumulation spectrum method and a double-threshold discrimination method are specifically adopted, a third preset number M of second frequency domain results are accumulated firstly, the third preset number M is an accumulation average number, and a specific value of the third preset number M can be set according to needs, wherein M is 64 in the embodiment of the invention. Because the second frequency domain result also includes a channels of frequency domain data, and each channel of frequency domain data also includes b data points, each second frequency domain result includes a × b-1024 data points, and the spectrum data at the same frequency point position in the M second frequency domain results is subjected to cumulative averaging by using a cumulative spectrum method, that is, the spectrum data is added and then averaged to obtain a cumulative average result. The minimum value of the cumulative average result within the signal bandwidth after the cumulative average is determined. And multiplying the minimum value by the first threshold coefficient and the second threshold coefficient respectively to obtain a first threshold value and a second threshold value. Wherein the first threshold coefficient is greater than the second threshold coefficient, and the first threshold coefficient and the second threshold coefficient do not depend on any prior information about the noise power, but depend on the false alarm rate, the third preset number, and the number of spectral lines included in the signal bandwidth. In the case that the false alarm rate is 1%, the third preset number M is 64, and the signal bandwidth is 2GHz, the first threshold coefficient may be 0.05, and the second threshold coefficient may be 0.002.
Determining a first target spectrum component in a second frequency domain result corresponding to a first target cumulative average result which is greater than or equal to a first threshold value in all cumulative average results, marking the first target spectrum component as 2, marking the spectrum component in the second frequency domain result corresponding to the cumulative average result between the first threshold value and the second threshold value in all cumulative average results as 1, marking the spectrum component in the second frequency domain result corresponding to the cumulative average result which is less than or equal to the second threshold value in all cumulative average results as 0, searching all components with the spectrum component marking as 1 adjacent to the first target spectrum component until the spectrum component marking as 0 is met, marking the components as second target spectrum components, and taking the first target spectrum component and the second target spectrum component as interference components. The first target spectrum component is a main interference component, and the second target spectrum component can be regarded as a side lobe of the first target spectrum component.
In the embodiment of the invention, the interference components are identified in the frequency domain by adopting an accumulation spectrum method and a double-threshold discrimination method, so that various types of interference components can be effectively identified.
On the basis of the foregoing embodiment, the method for suppressing interference in an ultra wideband signal provided in the embodiment of the present invention, where the third frequency domain result is adaptively truncated based on a peak accumulation grid decision method to obtain the second result, specifically includes:
determining a local maximum value of the frequency spectrum data in each third frequency domain result, and determining a global maximum value of the frequency spectrum data in all the third frequency domain results;
inputting the global maximum value into a hysteresis comparator, and outputting truncation information by the hysteresis comparator;
and based on the bit cutting information, cutting the third frequency domain result to obtain the second result.
Specifically, in the embodiment of the present invention, when the adaptive truncation module performs adaptive truncation, first, a maximum value of the frequency spectrum data in each third frequency domain result is determined and recorded as a local maximum value, and each second frequency domain result can obtain one third frequency domain result, so that M local maximum values can be obtained in total. And adding the M local maximums to obtain a global maximum. The global maximum is input into a hysteresis comparator, and the hysteresis comparator outputs truncation information. Wherein the hysteresis comparator is used to prevent the truncation from bouncing frequently in two adjacent truncation schemes. The truncation information is used for indicating information for eliminating the gap between the bit width of the third frequency domain result and the target bit width. And finally, according to the bit cutting information, cutting the third frequency domain result to obtain a second result, wherein the bit width of the second result is the target bit width.
On the basis of the foregoing embodiment, in the method for suppressing interference of an ultra wideband signal provided in the embodiment of the present invention, the hysteresis comparator stores a first threshold and a second threshold in advance, and the first threshold is greater than the second threshold; accordingly, the number of the first and second electrodes,
the inputting the global maximum value into a hysteresis comparator, and outputting the truncation information by the hysteresis comparator specifically include:
comparing the global maximum value with the first threshold value and the second threshold value, if the global maximum value is greater than the first threshold value, the truncation information is to shift the third frequency domain result to the right, and supplement a sign bit of the third frequency domain result on the left; and if the global maximum value is smaller than the second threshold, the truncation information is to perform left shift on the third frequency domain result and fill zero on the right side.
Specifically, in the embodiment of the present invention, the first threshold and the second threshold depend on the target bit width and the size of the third preset number M. If the target bit width is c bits, the first threshold value D1Comprises the following steps: d1=M*2c-1Second threshold value D2Is D2=M*2c-3. In the embodiment of the present invention, the target bit width is 10 bits, and the bit width of the third frequency domain result is 30 bits.
Comparing the global maximum value with a first threshold value and a second threshold value, if the global maximum value is greater than the first threshold value, indicating that the data overflows at the moment, and the truncation bit needs to be up-shifted, namely the truncation bit information is to shift the third frequency domain result to the right, and a sign bit is compensated on the left, wherein the sign bit is the most significant bit of the data before shifting, and may be 0 or 1; if the global maximum value is smaller than the second threshold, it indicates that the data symbol bits are too many at this time, and the truncation needs to be shifted down, that is, the truncation information is to perform left shift on the third frequency domain result and complement 0 on the right side.
In the embodiment of the invention, the self-adaptive bit-cutting module can adjust the output bit width of the frequency domain interference deleting module, thereby reducing the resource consumption and ensuring that the cut data does not overflow.
In summary, the present invention provides a multi-pattern interference suppression algorithm for an ultra-wideband signal, which includes a multi-pattern interference suppression method and a high throughput full-parallel time-frequency domain conversion method, and performs multi-path parallel frequency domain interference identification and suppression on the high throughput ultra-wideband signal. The multi-style interference suppression method adopts a frequency domain interference suppression technology, considers the finite length truncation of FFT/IFFT time-frequency domain conversion, realizes a dual-channel overlapping windowing structure by using a delay module, and suppresses frequency spectrum leakage and waveform distortion caused by signal truncation; the method adopts an accumulation spectrum method and a double-threshold discrimination method to identify interference components in a frequency domain, can effectively identify various types of interference, finally sets the interference components to zero and carries out self-adaptive bit interception based on peak accumulation grid judgment. According to the high-throughput full-parallel time-frequency domain conversion method, the time-frequency domain conversion with the length of 1024 points is divided into 32 linear operation results of the 32-point time-frequency domain conversion according to the Kully-graph-based algorithm, and the full-parallel FFT/IFFT module which is extracted according to time is realized by fully utilizing the multipath parallel characteristic of a high-throughput signal.
As shown in fig. 5, on the basis of the above embodiment, an embodiment of the present invention provides an ultra-wideband signal interference suppression system, including: a processing module 51, a first branch signal determination module 52, a second branch signal determination module 53 and a superposition module 54. Wherein the content of the first and second substances,
the processing module 51 is configured to obtain a target signal, and perform windowing processing and delay processing on the target signal respectively;
the first branch signal determining module 52 is configured to convert a first result obtained by performing windowing on the target signal from a time domain to a frequency domain, perform frequency domain interference processing, convert a second result obtained by performing frequency domain interference processing from the frequency domain to the time domain, and perform delay processing to obtain a first branch signal;
the second branch signal determining module 53 is configured to perform windowing on a third result obtained after the target signal is subjected to the delay processing, convert a fourth result obtained after the windowing processing from a time domain to a frequency domain, perform frequency domain interference processing, and convert a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal;
the superposition module 54 is configured to superpose the first branch signal and the second branch signal, so as to obtain a signal after interference suppression.
Specifically, the functions of the modules in the ultra-wideband signal interference suppression system provided in the embodiment of the present invention correspond to the operation flows of the steps in the embodiments of the methods one to one, and the implementation effects are also consistent.
As shown in fig. 6, on the basis of the above embodiment, an embodiment of the present invention provides an electronic device, including: a processor (processor)601, a memory (memory)602, a communication Interface (Communications Interface)603, and a communication bus 604; wherein the content of the first and second substances,
the processor 601, the memory 602, and the communication interface 603 complete communication with each other through the communication bus 604. The memory 602 stores program instructions executable by the processor 601, and the processor 601 is configured to call the program instructions in the memory 602 to perform the methods provided by the above-mentioned method embodiments, for example, including: acquiring a target signal, and respectively performing windowing processing and delay processing on the target signal; converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal; windowing a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal; and superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
It should be noted that, when being implemented specifically, the electronic device in this embodiment may be a server, a PC, or another device, as long as the structure includes the processor 601, the communication interface 603, the memory 602, and the communication bus 604 shown in fig. 6, where the processor 601, the communication interface 603, and the memory 602 complete mutual communication through the communication bus 604, and the processor 601 may call a logic instruction in the memory 602 to execute the above method. The embodiment does not limit the specific implementation form of the electronic device.
The logic instructions in memory 602 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone article of manufacture. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Further, embodiments of the present invention disclose a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, the computer is capable of performing the methods provided by the above-mentioned method embodiments, for example, comprising: acquiring a target signal, and respectively performing windowing processing and delay processing on the target signal; converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal; windowing a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal; and superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
On the basis of the foregoing embodiments, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented to perform the transmission method provided by the foregoing embodiments when executed by a processor, and the method includes: acquiring a target signal, and respectively performing windowing processing and delay processing on the target signal; converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal; windowing a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal; and superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. An ultra-wideband signal interference suppression method, comprising:
acquiring a target signal, and respectively performing windowing processing and delay processing on the target signal;
converting a first result obtained after windowing the target signal from a time domain to a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain to the time domain, and performing delay processing to obtain a first branch signal;
windowing a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal;
superposing the first branch signal and the second branch signal to obtain a signal after interference suppression;
the converting a first result obtained by performing windowing on the target signal from a time domain to a frequency domain specifically includes:
converting the first result from a time domain to a frequency domain by using an FFT module which is extracted according to time based on a Kully-graph-based algorithm to obtain a first frequency domain result;
the first frequency domain result comprises a first preset number of paths of frequency domain data, and each path of frequency domain data comprises a second preset number of data points;
the converting a first result obtained by windowing the target signal from a time domain to a frequency domain further includes:
performing multi-stage butterfly operation on the first frequency domain result and sequentially adjusting frequency domain data of each path to obtain a second frequency domain result;
after converting the first result obtained by windowing the target signal from the time domain to the frequency domain, the performing the frequency domain interference processing specifically includes:
detecting interference components existing in the second frequency domain result based on an accumulated spectrum method and a double-threshold discrimination method, and carrying out zero setting on the interference components to obtain a third frequency domain result;
based on a peak accumulation grid decision method, carrying out self-adaptive bit cutting on the third frequency domain result to obtain a second result;
the detecting of the interference component existing in the second frequency domain result based on the accumulated spectrum method and the double-threshold discrimination method specifically includes:
accumulating a third preset number of second frequency domain results, performing cumulative averaging on the frequency spectrum data at the same frequency point position in all the second frequency domain results by adopting a cumulative spectrum method, and determining the minimum value of the cumulative average results which are in a signal bandwidth range after the cumulative averaging;
determining a first threshold value and a second threshold value based on the minimum value and a double-threshold discrimination method; the first threshold value is greater than the second threshold value;
and determining a first target spectrum component in the second frequency domain result corresponding to a first target cumulative average result which is higher than the first threshold value in all cumulative average results and a second target spectrum component in a plurality of second target cumulative average results which are higher than the second threshold value and adjacent to the first target spectrum component, and taking the first target spectrum component and the second target spectrum component as the interference components.
2. The method for suppressing ultra-wideband signal interference according to claim 1, wherein the adaptively truncating the third frequency domain result based on a peak accumulation grid decision method to obtain the second result specifically includes:
determining a local maximum value of the frequency spectrum data in each third frequency domain result, and determining a global maximum value of the frequency spectrum data in all the third frequency domain results;
inputting the global maximum value into a hysteresis comparator, and outputting truncation information by the hysteresis comparator;
and based on the bit cutting information, cutting the third frequency domain result to obtain the second result.
3. The method according to claim 2, wherein the hysteresis comparator stores a first threshold and a second threshold in advance, and the first threshold is greater than the second threshold; accordingly, the number of the first and second electrodes,
the inputting the global maximum value into a hysteresis comparator, and outputting the truncation information by the hysteresis comparator specifically include:
comparing the global maximum value with the first threshold value and the second threshold value, if the global maximum value is greater than the first threshold value, the truncation information is to shift the third frequency domain result to the right, and supplement a sign bit of the third frequency domain result on the left; and if the global maximum value is smaller than the second threshold, the truncation information is to perform left shift on the third frequency domain result and fill zero on the right side.
4. An ultra-wideband signal interference suppression system, comprising:
the processing module is used for acquiring a target signal and respectively performing windowing processing and delay processing on the target signal;
the first branch signal determining module is used for converting a first result obtained after windowing the target signal from a time domain into a frequency domain, performing frequency domain interference processing, converting a second result obtained after the frequency domain interference processing from the frequency domain into the time domain, and performing delay processing to obtain a first branch signal;
the converting a first result obtained by performing windowing on the target signal from a time domain to a frequency domain specifically includes:
converting the first result from a time domain to a frequency domain by using an FFT module which is extracted according to time based on a Kully-graph-based algorithm to obtain a first frequency domain result;
the first frequency domain result comprises a first preset number of paths of frequency domain data, and each path of frequency domain data comprises a second preset number of data points;
the converting a first result obtained by windowing the target signal from a time domain to a frequency domain further includes:
performing multi-stage butterfly operation on the first frequency domain result and sequentially adjusting frequency domain data of each path to obtain a second frequency domain result;
after converting the first result obtained by windowing the target signal from the time domain to the frequency domain, the performing the frequency domain interference processing specifically includes:
detecting interference components existing in the second frequency domain result based on an accumulated spectrum method and a double-threshold discrimination method, and carrying out zero setting on the interference components to obtain a third frequency domain result;
based on a peak accumulation grid decision method, carrying out self-adaptive bit cutting on the third frequency domain result to obtain a second result;
the detecting of the interference component existing in the second frequency domain result based on the accumulated spectrum method and the double-threshold discrimination method specifically includes:
accumulating a third preset number of second frequency domain results, performing cumulative averaging on the frequency spectrum data at the same frequency point position in all the second frequency domain results by adopting a cumulative spectrum method, and determining the minimum value of the cumulative average results which are in a signal bandwidth range after the cumulative averaging;
determining a first threshold value and a second threshold value based on the minimum value and a double-threshold discrimination method; the first threshold value is greater than the second threshold value;
determining a first target spectrum component in the second frequency domain result corresponding to a first target cumulative average result higher than the first threshold value in all cumulative average results and a second target spectrum component in the second frequency domain result corresponding to a plurality of second target cumulative average results higher than the second threshold value adjacent to the first target spectrum component, and taking the first target spectrum component and the second target spectrum component as the interference components;
the second branch signal determining module is used for performing windowing processing on a third result obtained after the target signal is subjected to delay processing, converting a fourth result obtained after the windowing processing from a time domain to a frequency domain, performing frequency domain interference processing, and converting a fifth result obtained after the frequency domain interference processing from the frequency domain to the time domain to obtain a second branch signal;
and the superposition module is used for superposing the first branch signal and the second branch signal to obtain a signal after interference suppression.
5. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor when executing the program realizes the steps of the method for ultra-wideband signal interference suppression according to any of claims 1-3.
6. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the method for ultra-wideband signal interference suppression according to any of claims 1-3.
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