CN109991479B - Fast radio storm real-time detection device, system and method of multi-beam receiver - Google Patents
Fast radio storm real-time detection device, system and method of multi-beam receiver Download PDFInfo
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Abstract
The invention provides a device, a system and a method for rapidly detecting a radio storm in real time of a multi-beam receiver, wherein the device comprises: the system comprises a signal processing unit, a high-speed data exchange unit, N computing nodes, a head node and a storage unit; the signal processing unit is used for carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals and outputting N paths of quick radio storm observation data, wherein N is more than 1; the N computing nodes respectively process the N paths of quick radio storm observation data exchanged by the high-speed data exchange unit in real time, respectively extract quick radio storm candidates and respectively store the quick radio storm candidates; the head node gathers data of the N computing nodes at the same time according to the time information stored in the computing nodes to carry out concurrent signal synthesis; and judging the rapid radio storm candidate to detect and classify the rapid radio storm candidate. The invention effectively improves the detection accuracy and efficiency.
Description
Technical Field
The invention relates to a device, a system and a method for detecting a quick radio storm in real time of a multi-beam receiver, which are suitable for accurate, efficient and real-time detection of the quick radio storm and related scientific research.
Background
Over a decade ago, astronomers suddenly received a radio pulse of extremely high energy, very short duration, only a few milliseconds. Astronomers refer to it as a Fast Radio Burst (FRB) which is received several times later. In the received FRB signal, the density of electron columns, known as Dispersion Measurements (DM), is exceptionally high, which leads to a guess that this type of signal originates from cosmic distance and/or extreme environments. However, the source of this mysterious signal has been left unsolved.
In order to observe and research the phenomenon, FRB detection systems are established at many astronomical benches at home and abroad. At present, the construction is generally carried out based on a single-beam receiver, but because the field of view of a single beam is small, the identification of interference signals can only depend on the electromagnetic environment and a limited elimination method, the detection efficiency is limited, and the identification accuracy is low.
Further research and development are urgently needed to meet the requirements of accurate, efficient and real-time detection and related scientific research for the rapid radio storm.
Disclosure of Invention
Technical problem to be solved
The invention provides a device, a system and a method for detecting a quick radio storm in real time based on a multi-beam receiver, which at least partially solve the technical problems.
(II) technical scheme
According to an aspect of the present invention, there is provided a fast electric storm real-time detection apparatus based on a multi-beam receiver, comprising: the signal processing unit is used for carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals and outputting N paths of quick radio storm observation data, wherein N is more than 1; the signal processing unit includes: n data acquisition and frequency domain transformation subunits; the high-speed data exchange unit is used for respectively receiving the N paths of quick radio storm observation data output by the signal processing unit, and outputting the data after high-speed data exchange; the N computing nodes are used for respectively processing the N paths of quick radio storm observation data exchanged by the high-speed data exchange unit in real time, respectively extracting and respectively storing quick radio storm candidates in each path of quick radio storm observation data; the head node gathers data of the N computing nodes at the same time according to the time information stored in the computing nodes to carry out concurrent signal synthesis; judging a fast radio storm candidate to carry out fast radio storm candidate detection and classification; mapping the rapid radio storm candidate, and linking the rapid radio storm candidate to a network publishing unit for publishing; the head node triggers the storage unit to save data by modifying a Redis database key value; and the storage unit reads the Redis data key value output by the head node, judges whether the Redis data key value is a fast radio storm candidate or not, reads data from the corresponding computing node and writes the data into the fast disk array if the Redis data key value is the fast radio storm candidate, and deletes the data if the Redis data key value is not the fast radio storm candidate.
In some embodiments of the present disclosure, each of the compute nodes includes: the high-speed data packet receiving and format conversion module, the cache module and the single FRB signal searching module; the high-speed data packet receiving and format conversion module receives the rapid radio storm observation data output by the high-speed data exchange unit and performs format conversion on the received rapid radio storm observation data; the cache module temporarily stores the rapid radio storm observation data which completes format conversion after the high-speed data packet receiving and format conversion module is used as a storage file; the single FRB signal searching module calculates the fast radio storm observation data in the cache module in real time, and extracts fast radio storm candidates from the fast radio storm observation data.
In some embodiments of the present invention, the single FRB signal search module comprises: reading data of a single wave beam signal from the cache module, and copying the data from a CPU memory to a GPU thread; calculating the rapid radio storm observation data in real time in a GPU thread, and extracting a rapid radio storm candidate from the rapid radio storm observation data; and copying the extracted fast radio storm candidate from the GPU memory to the CPU memory for storage.
In some embodiments of the invention, the head node comprises: the device comprises a concurrent signal synthesis module, a candidate body detection and classification module and a real-time drawing and triggering module; the concurrent signal synthesis module converges the data of the fast radio storm candidate at the same time of all the computing nodes according to the time information of the files stored in the cache module; the candidate body detection and classification module is used for judging and classifying the converged data of the plurality of rapid radio storm candidate bodies; the real-time drawing and triggering module is used for drawing a picture of the rapid radio storm candidate, is linked to the network issuing unit for issuing, and triggers the storage unit to store data by modifying a Redis database key value.
In some embodiments of the present invention, in the candidate detection and classification module, an effective mask list is created according to all possible situations of the fast radio storm signal in a plurality of beams, the effective mask list includes N-bit binary digits, signals received from each beam are identified by N-bit binary digits 0 and 1 to obtain an identification code, if a signal similar to the fast radio storm is detected in a beam, the identification code is set to 1, otherwise, the identification code is set to 0; judging the number of 1 in the identification code, and if the number of 1 in the identification code is not more than 4, performing exclusive OR operation on the identification code and the effective mask list; if the operation result is 1, namely the operation result is the same as the operation result, a fast radio storm candidate mark is added, the identification code operation is ended, and if the operation result is 0 compared with all mask operation results in the effective mask list, a false candidate mark is added.
In some embodiments of the invention, the data acquisition and frequency domain transform subunit comprises: the device comprises a sampling module, a multiphase filter, a complex FFT (fast Fourier transform) module, a correlation calculation module, an integration module and a network packaging and sending module; the sampling module receives a path of wave beam signals and carries out digital sampling to obtain sampling data; the multiphase filter divides the frequency channels of the sampling data to obtain multi-channel sampling data; the complex FFT conversion module is used for carrying out frequency domain conversion on the multi-channel sampling data to obtain multi-channel frequency domain data; the correlation calculation module performs correlation operation on the multi-channel frequency domain data to obtain rapid radio storm observation data; the integration module accumulates the observation data of the fast radio storm according to the time resolution requirement so as to reduce the data volume; and the network packaging and sending module packages the rapid radio storm observation data processed by the integral module and sends the rapid radio storm observation data to the high-speed data exchange unit through a network.
In some embodiments of the invention, the GPU thread comprises: the data copying submodule copies the quick radio storm observation data from the CPU memory to the GPU memory; the RFI elimination submodule is used for eliminating interference of the quick radio storm observation data in the GPU memory in a frequency domain; the achromatic submodule receives the fast radio storm observation data subjected to interference elimination through the RFI elimination submodule and performs achromatic calculation; the candidate searching submodule extracts a fast radio storm candidate from the fast radio storm observation data output by the achromatic submodule; and the data copying submodule copies the fast radio storm candidate extracted by the candidate searching submodule into a CPU memory from the GPU memory.
According to an aspect of the present invention, there is also provided a fast electric storm real-time detection system of a multi-beam receiver, comprising the fast electric storm real-time detection apparatus of the multi-beam receiver of claim 1 and a radio telescope connected to the fast electric storm real-time detection apparatus of the multi-beam receiver.
According to an aspect of the present invention, there is also provided a method for detecting a fast radiostorm in real time by using a multi-beam receiver, including: carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals, outputting N paths of rapid radio storm observation data, carrying out high-speed data exchange, and then distributing the data to each computing node; respectively processing the N paths of quick radio storm observation data in real time, respectively extracting quick radio storm candidates in each path of quick radio storm observation data and respectively storing the quick radio storm candidates; according to the time information, the data of the rapid radio storm candidate in the N paths of rapid radio storm observation data at the same time are gathered, and concurrent signal synthesis is carried out; and judging the rapid radio storm candidate to perform rapid radio storm candidate detection and classification, mapping the rapid radio storm candidate, linking the rapid radio storm candidate to a network publishing unit to publish, and triggering by modifying a Redis database key value.
(III) advantageous effects
It can be seen from the above technical solutions that the apparatus, system, and method for detecting a fast radio storm of a multi-beam receiver of the present invention have at least one or some of the following advantages:
the multi-beam receiver generates a plurality of beams in one observation to be aligned to the sky, so that a plurality of pixel points can be obtained, and the observation efficiency of the radio telescope is greatly improved; the N data acquisition and frequency domain conversion subunits and the N computing nodes are adopted to carry out signal acquisition and processing on the N wave beam signals, and data are shared among all modules through a ring buffer area technology, so that multi-task parallel processing is realized, and each wave beam can carry out real-time online operation; the head node reads from each computing node through network mapping and collects search results according to time, and then false signals generated by radio frequency interference are eliminated by adopting a multi-beam rapid radio storm identification strategy, so that the detection accuracy is improved.
Drawings
Fig. 1 is a schematic diagram of a fast radio storm real-time detection apparatus of a multi-beam receiver according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating a fast radio burst search process in the single FRB signal search module of fig. 1.
Figure 3 is a schematic diagram of a multi-beam receiver beam arrangement.
FIG. 4 is a schematic view of observations processed by the present invention.
Detailed Description
The invention provides a device, a system and a method for rapidly detecting a radio storm in real time of a multi-beam receiver, wherein the device comprises: the system comprises a signal processing unit, a high-speed data exchange unit, N computing nodes, a head node and a storage unit; the signal processing unit is used for carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals and outputting N paths of quick radio storm observation data, wherein N is more than 1; the N computing nodes respectively process the N paths of quick radio storm observation data exchanged by the high-speed data exchange unit in real time, respectively extract quick radio storm candidates and respectively store the quick radio storm candidates; the head node gathers data of the N computing nodes at the same time according to the time information stored in the computing nodes to carry out concurrent signal synthesis; and judging the rapid radio storm candidate to detect and classify the rapid radio storm candidate. The invention effectively improves the detection accuracy and efficiency.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Certain embodiments of the invention now will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the invention are shown. Indeed, various embodiments of the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements.
In a first exemplary embodiment of the present invention, a fast radiostorm real-time detection apparatus of a multi-beam receiver is provided. Fig. 1 is a schematic diagram of a fast radio storm real-time detection apparatus of a multi-beam receiver according to an embodiment of the present invention. As shown in fig. 1, the fast radio storm real-time detecting apparatus of the multi-beam receiver of the present invention comprises: the system comprises a signal processing unit, a high-speed data exchange unit, N computing nodes, a head node and a storage unit; wherein N > 1. The respective constituent units are explained in detail below:
and the signal processing unit is used for carrying out signal acquisition and frequency domain conversion on the N paths of wave beam signals and outputting N paths of quick radio storm observation data, wherein N is more than 1. The signal processing unit includes: and N data acquisition and frequency domain transformation subunits.
Wherein, the data acquisition and frequency domain transformation subunit comprises: the device comprises a sampling module, a multiphase filter, a complex FFT conversion module, a correlation calculation module, an integration module and a network packaging and sending module. Specifically, the sampling module receives a path of beam signals, and performs digital sampling to obtain sampling data. And the multiphase filter divides the frequency channels of the sampling data to obtain multi-channel sampling data. And the complex FFT conversion module is used for carrying out frequency domain conversion on the multi-channel sampling data to obtain multi-channel frequency domain data. And the correlation calculation module performs correlation operation on the multi-channel frequency domain data to obtain the rapid radio storm observation data. The integration module accumulates the fast radiostorm observation data according to the time resolution requirement to reduce the data volume. And the network packaging and sending module packages the rapid radio storm observation data processed by the integral module and sends the rapid radio storm observation data to the high-speed data exchange unit through a network.
And the high-speed data exchange unit is used for respectively receiving the N paths of quick radio storm observation data output by the signal processing unit, and outputting the data after high-speed data exchange.
And the N computing nodes are used for respectively processing the N paths of quick radio storm observation data exchanged by the high-speed data exchange unit in real time, respectively extracting quick radio storm candidates in each path of quick radio storm observation data and respectively storing the quick radio storm candidates.
Specifically, each computing node includes: a high-speed data packet receiving and format conversion module, a buffer module and a single FRB signal searching module. The high-speed data packet receiving and format conversion module receives the rapid radiostorm observation data output by the high-speed data exchange unit and performs format conversion on the received rapid radiostorm observation data. The cache module temporarily stores the rapid radiostorm observation data which completes format conversion after the high-speed data packet receiving and format conversion module is used as a storage file. The single FRB signal searching module calculates the fast radio storm observation data in the cache module in real time, and extracts fast radio storm candidates from the fast radio storm observation data. Furthermore, the high-speed data packet receiving and format conversion module comprises 3 threads which are respectively a network receiving thread, a data computing thread and a data formatting thread, 2 data buffer areas are opened up during operation, the network receiving thread receives the high-speed network data packet from the network card of the computer, header information and effective data are extracted according to the format of the data packet, and the data are put into the data output buffer area. The data processing thread reads data from the data input buffer area, performs certain processing on the data, and then outputs a result to the data output buffer area. The data formatting thread reads data from the data output buffer area, makes file header information according to the observation setting, formats the data, and then outputs the file header and the data to the cache module. In order to avoid data loss caused by asynchronous execution time of the three threads, a plurality of input and output buffers can be opened, the state of each thread and each buffer is identified, and the unoccupied buffers are automatically written.
It should be further noted that, as shown in fig. 2, because of the high data rate and the large computation amount, GPU parallel processing is adopted to increase the operation speed. The GPU thread comprises: the system comprises a data copying sub-module, an RFI eliminating sub-module, a fading sub-module, a candidate searching sub-module and a data copying sub-module. And the data copying submodule copies the quick radio storm observation data from the CPU memory to the GPU memory. Since electromagnetic waves radiated by communication base stations, radars, satellites, electronic devices, etc. cause Interference to the Radio astronomical observation Frequency band, which is called Radio Frequency Interference (RFI), if these Interference signals are not eliminated, the processing effect of the signals will be affected. Therefore, the RFI cancellation submodule performs interference cancellation on the data in the frequency domain, and then outputs the data to the achromatic submodule for achromatic calculation. Within a limited bandwidth of B MHz and a center frequency of v GHz, the time delay t isDMμ s vs DM is:
tDM＝8.3×B·DM·v-3(μs) (1)
at two observed frequencies v1And v2Time delay t between2-t1Can be calculated from the following formula:
according to time delay t2-t1The data for each channel of the multi-channel frequency domain data is delayed or advanced in time.
The de-dispersion is to delay or advance the data for each frequency subchannel in time based on this amount of delay. For FRB search, DM is unknown, and to obtain this value, a traversal method can be used to perform an achromatic calculation on the data at each DM value, and then find the best performing set. For example, it can be assumed that the search range Z of DM is 100-5000 cm-3pc at 1cm-3pc is the interval to carry out the dispersion elimination in the frequency channel for each DM value, and the direct dispersion elimination algorithm is adopted to carry out the dispersion elimination in the frequency channel number Nv, the sampling number Nt and the dispersion amount trial number NDMThe following computational complexity is:
Tdirect＝O(NtNvNDM) (3)
and then, using a candidate searching submodule to search pulse signals for the time domain data under each group of dispersion values, setting a threshold value, and identifying the data with the signal-to-noise ratio exceeding the threshold value as a fast radio storm candidate, wherein the threshold value can be set according to the electromagnetic environment of the radio telescope. Since the pulse width of the FRB is unknown, to detect signals having a duration greater than the sampling time, a set of matched filters is applied to each time series, and the sampled data is matched with wn＝2nConvolving the rectangular window of point (n is more than or equal to 0 and less than or equal to 12), normalizing by using the evolution, obtaining the optimal pulse width by continuously transforming the time width of the rectangular frame of the matched filter, filtering the out-of-band data by the matched filter when the rectangular frame just contains all pulse contours, and only keeping the in-band dataThe filtered time series is then passed on to further processing by the program.
Specifically, the head node includes: the device comprises a concurrent signal synthesis module, a candidate body detection and classification module and a real-time drawing and triggering module.
And the concurrent signal synthesis module converges the data of the rapid radio storm candidate at the same time of all the computing nodes according to the time information of the files stored in the cache module.
The candidate body detection and classification module adopts a certain strategy to judge the converged data of a plurality of rapid radio storm candidate bodies and adopts a multi-beam RFI (radio frequency interference) identification method to remove false signals. Since FRB signals are typically point sources, much smaller than the beam of the radio telescope, when the main beam is directed at such a source, the other beams do not detect the relevant signals. However, such detection is non-tracking, i.e., the location of the signal is unknown, possibly in the middle of adjacent beams, so that multiple beams may receive the signal. In general, when a receiver is designed, when non-adjacent beams detect the same signal, the signal strength is attenuated by at least more than 30dB and is basically undetectable. While the radiation angle of the RFI signal may be large, multiple beams will receive signals above a set threshold when the radiated energy is strong. The present invention is based on the above described RFI cancellation, herein referred to as multi-beam reference effect interference cancellation.
Specifically, as shown in fig. 3, in a 19-beam arrangement diagram, an effective mask list is prepared in advance according to the identification strategy, all the possible situations of FRB signals in the multi-beam are listed, and this mask may be composed of 19-bit binary digits, and 0 and 1 are used to represent shielding and permission, respectively. The specific manufacturing method of the effective mask list is as follows: (1) allowing all individual beams to detect a signal, the mask can be shifted from the lowest bit to the highest bit in turn by 0000000000000000001 to 0000001000000000000, 1. (2) The case where all 2 adjacent beams are allowed to detect a signal, e.g. beam 1, 2 or 2, 3, the corresponding mask is 0000000000000000011 or 0000000000000000110. (3) The case where 3 adjacent beams are allowed to detect a signal, e.g. beam 1, 3, 4 or 6, 7, 12, the corresponding mask is 0000000000000001101 or 0000000100001100000. (4) The case where 4 adjacent beams are allowed to detect the candidate, e.g. beam 1, 3, 4, 9 or 1, 6, 7, 12, the corresponding mask is 0000000000100001101 or 0000000100001100001. However, if signals are detected simultaneously in more distant beams, e.g. 9 and 11, which may be due to RFI signals, the probability that the candidate is a spurious signal increases, where a situation where the number of transverse or longitudinal beams reaches 3 and above is determined as a spurious signal, defining the maximum number of beams that can receive FRB signals at the same time as 4, since the span of the beams exceeds 3 when the number of beams exceeds 4.
During processing, each received beam signal is also identified by a sequence of binary digits 0 and 1, called an identification code, and if a similar signal is detected in a beam, the label is set to 1, otherwise, the label is 0. Then, the number of 1 in the identification code is judged, and if the number exceeds 4, a false candidate mark is added. And if the number of the 1 s is not more than 4, performing an exclusive OR operation on the identification code and the effective mask list, if the operation result is 1, namely the operation result is the same, adding a fast radiostorm candidate mark, and finishing the identification code operation, if the operation result is 0 with all the mask operation results in the effective mask list, adding a false candidate mark.
For example, the identification code is: 0000000000100001101, which can be matched with a mask, the signal is marked as a fast radio storm candidate. As another example, the identification code is: 0000000010100001101, if the number of beams of the detected signal exceeds 4, then the data is marked as a false candidate mark.
The storage unit is triggered by the head node through modifying the Redis database key value to store data; and reading Redis data key values output by the head nodes by the storage unit, judging whether the Redis data key values are fast radio storm candidates, if so, reading data from the trusted computing nodes and writing the data into the fast disk array, and if not, deleting the data.
In a first exemplary embodiment of the present invention, there is also provided a fast radio burst real-time detection system of a multi-beam receiver,a rapid radio storm real-time detection device comprising the multi-beam receiver of claim 1 and a radio telescope coupled to the rapid radio storm real-time detection device of the multi-beam receiver. An observation experiment is carried out by adopting a 19-beam L-band dual-polarized receiver (RF: 1050-1450 MHz), 38 paths of signals of 19 beams and 2 polarizations are digitized by utilizing 10 FPGA signal processing platforms, 4 paths of signals of 2 beams and 2 polarizations are processed in each FPGA signal processing board 1-9, and 2 paths of signals of 1 beam and 2 polarizations are processed by the FPGA signal processing board 10. Setting a sampling clock to be 1000MHz, and enabling the ADC to work in a 3 rd Nyquist sampling interval: 1000-1500 MHz, and 8bit of sampling precision. The FPGA carries out polyphase filtering and 4096-point complex FFT conversion on the signals, then the signals are transmitted after correlation, integration and network packaging, and as the duration of the FRB signals is several milliseconds generally, the integration time is set to dozens of microseconds generally in order to see the details of the FRB signals clearly, the FRB pulses can be described by about 100 sampling points. The data rate output by the FPGA signal processing board to a single computing node is 2048Mbit/sec, and the data rate of 19 nodes is 38Gbit/sec by adopting 64 microsecond integration. The spectrum resolution is 0.12207MHz, the DM search range is 100-5000 cm-3pc, the search pulse width can be from 1 ms to 128 ms, and all parameters can be adjusted according to actual requirements.
The single pulse signals of the pulsar and the signal of the FRB are similar to each other and are transmitted from a remote space, dispersion can be generated under the influence of interplanetary media, but the DM value of the FRB is generally larger, and the pulsar B1900+01 with a larger DM (dispersion quantity) value is selected for testing the system and is tracked and observed. The source had a period of 0.7293058 seconds and a DM of 245.167cm-3pc, 1400MHz band flow 5.5mJy, pulse width 9.9 ms. The parameters for the FRB search are set to: the signal-to-noise ratio is larger than 10, the number of beams capable of detecting signals at most simultaneously is not larger than 4, the maximum pulse width is less than 16ms, and the number of detectable events per second is less than 2 at most.
The detected signals are as shown in fig. 4, and sequentially from bottom to top: waterfall diagram without dispersion elimination, waterfall diagram after dispersion elimination and waterfall diagram after accumulation of frequency channelsTime domain diagram. As can be seen from the figure, the pulse signal DM value searched in real time is 244.71cm-3pc, signal-to-noise ratio 1048.41, cycle around 0.7 seconds, is very close to the parameters of B1900+ 01.
In a first exemplary embodiment of the present invention, there is also provided a method for detecting a fast radiostorm in real time by using a multi-beam receiver, including: carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals, outputting N paths of rapid radio storm observation data, carrying out high-speed data exchange, and outputting the data to each computing node; respectively processing the N paths of quick radio storm observation data in real time, respectively extracting quick radio storm candidates in each path of quick radio storm observation data and respectively storing the quick radio storm candidates; according to the time information of the storage file, the data of the fast radio storm candidate in the N paths of fast radio storm observation data at the same time are gathered, and concurrent signal synthesis is carried out; and judging the rapid radio storm candidate to perform rapid radio storm candidate detection and classification, mapping the rapid radio storm candidate, linking the rapid radio storm candidate to a network publishing unit to publish, and triggering a storage unit to store data by modifying a Redis database key value.
So far, the embodiments of the present invention have been described in detail with reference to the accompanying drawings. It is to be noted that, in the attached drawings or in the description, the implementation modes not shown or described are all the modes known by the ordinary skilled person in the field of technology, and are not described in detail. Further, the above definitions of the various elements and methods are not limited to the various specific structures, shapes or arrangements of parts mentioned in the examples, which may be easily modified or substituted by those of ordinary skill in the art.
From the above description, those skilled in the art should clearly understand that the apparatus, system and method for detecting a fast radiostorm in real time of the multi-beam receiver of the present invention.
In summary, the present invention provides a multi-beam receiver-based device, a multi-beam receiver-based system and a multi-beam receiver-based method for generating multiple beams to be directed to the sky in one observation, so as to obtain multiple pixels, thereby greatly improving the observation efficiency of a radio telescope.
It should also be noted that directional terms, such as "upper", "lower", "front", "rear", "left", "right", etc., used in the embodiments are only directions referring to the drawings, and are not intended to limit the scope of the present invention. Throughout the drawings, like elements are represented by like or similar reference numerals. Conventional structures or constructions will be omitted when they may obscure the understanding of the present invention.
And the shapes and sizes of the respective components in the drawings do not reflect actual sizes and proportions, but merely illustrate contents of the embodiments of the present invention. Furthermore, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim.
Furthermore, the word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements.
The use of ordinal numbers such as "first," "second," "third," etc., in the specification and claims to modify a corresponding element does not by itself connote any ordinal number of the element or any ordering of one element from another or the order of manufacture, and the use of the ordinal numbers is only used to distinguish one element having a certain name from another element having a same name.
In addition, unless steps are specifically described or must occur in sequence, the order of the steps is not limited to that listed above and may be changed or rearranged as desired by the desired design. The embodiments described above may be mixed and matched with each other or with other embodiments based on design and reliability considerations, i.e., technical features in different embodiments may be freely combined to form further embodiments.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various disclosed aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, disclosed aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A fast radio storm real-time detection device of a multi-beam receiver comprises:
the signal processing unit is used for carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals and outputting N paths of quick radio storm observation data, wherein N is more than 1; the signal processing unit includes: n data acquisition and frequency domain transformation subunits;
the high-speed data exchange unit is used for respectively receiving the N paths of quick radio storm observation data output by the signal processing unit, and outputting the data after high-speed data exchange;
the N computing nodes are used for respectively processing the N paths of quick radio storm observation data exchanged by the high-speed data exchange unit in real time, respectively extracting and respectively storing quick radio storm candidates in each path of quick radio storm observation data;
the head node gathers data of the N computing nodes at the same time according to the time information stored in the computing nodes to carry out concurrent signal synthesis; judging a fast radio storm candidate to carry out fast radio storm candidate detection and classification; mapping the rapid radio storm candidate, and linking the rapid radio storm candidate to a network publishing unit for publishing;
the head node triggers the storage unit to save data by modifying a Redis database key value; and the storage unit reads the Redis data key value output by the head node, judges whether the Redis data key value is a fast radio storm candidate or not, reads data from the corresponding computing node and writes the data into the fast disk array if the Redis data key value is the fast radio storm candidate, and deletes the data if the Redis data key value is not the fast radio storm candidate.
2. The multi-beam receiver fast radioburst real-time detection apparatus according to claim 1, wherein each of the computing nodes comprises: the high-speed data packet receiving and format conversion module, the cache module and the single FRB signal searching module;
the high-speed data packet receiving and format conversion module receives the rapid radio storm observation data output by the high-speed data exchange unit and performs format conversion on the received rapid radio storm observation data;
the cache module temporarily stores the rapid radio storm observation data which completes format conversion after the high-speed data packet receiving and format conversion module is used as a storage file;
the single FRB signal searching module calculates the fast radio storm observation data in the cache module in real time, and extracts fast radio storm candidates from the fast radio storm observation data.
3. The multi-beam receiver fast radioburst real-time detection apparatus of claim 2, wherein the single FRB signal search module comprises:
reading data of a single wave beam signal from the cache module, and copying the data from a CPU memory to a GPU thread; calculating the rapid radio storm observation data in real time in a GPU thread, and extracting a rapid radio storm candidate from the rapid radio storm observation data; and copying the extracted fast radio storm candidate from the GPU memory to the CPU memory for storage.
4. The multi-beam receiver fast radioburst real-time detection apparatus according to claim 2, wherein the head node comprises: the device comprises a concurrent signal synthesis module, a candidate body detection and classification module and a real-time drawing and triggering module;
the concurrent signal synthesis module converges the data of the fast radio storm candidate at the same time of all the computing nodes according to the time information of the files stored in the cache module;
the candidate body detection and classification module is used for judging and classifying the converged data of the plurality of rapid radio storm candidate bodies;
the real-time drawing and triggering module is used for drawing a picture of the rapid radio storm candidate, is linked to the network issuing unit for issuing, and triggers the storage unit to store data by modifying a Redis database key value.
5. The apparatus for detecting fast radiostorm in real time of the multi-beam receiver according to claim 4, wherein the candidate detection and classification module makes a valid mask list including N binary digits according to all possible occurrences of fast radiostorm signals in a plurality of beams, identifies the received signals of each beam by using N binary digits 0 and 1 to obtain the identification code, sets the flag to 1 if a signal similar to fast radiostorm is detected in the beam, and otherwise, sets the flag to 0;
judging the number of 1 in the identification code, and if the number of 1 in the identification code is not more than 4, performing exclusive OR operation on the identification code and the effective mask list;
if the operation result is 1, namely the operation result is the same as the operation result, a fast radio storm candidate mark is added, the identification code operation is ended, and if the operation result is 0 compared with all mask operation results in the effective mask list, a false candidate mark is added.
6. The multi-beam receiver fast radioburst real-time detection apparatus of claim 1, wherein the data acquisition and frequency domain transformation subunit comprises: the device comprises a sampling module, a multiphase filter, a complex FFT (fast Fourier transform) module, a correlation calculation module, an integration module and a network packaging and sending module;
the sampling module receives a path of wave beam signals and carries out digital sampling to obtain sampling data;
the multiphase filter divides the frequency channels of the sampling data to obtain multi-channel sampling data;
the complex FFT conversion module is used for carrying out frequency domain conversion on the multi-channel sampling data to obtain multi-channel frequency domain data;
the correlation calculation module performs correlation operation on the multi-channel frequency domain data to obtain rapid radio storm observation data;
the integration module accumulates the observation data of the fast radio storm according to the time resolution requirement so as to reduce the data volume;
and the network packaging and sending module packages the rapid radio storm observation data processed by the integral module and sends the rapid radio storm observation data to the high-speed data exchange unit through a network.
7. The apparatus for fast radio storm real-time detection for multi-beam receivers of claim 3 wherein the GPU thread comprises:
the data copying submodule copies the quick radio storm observation data from the CPU memory to the GPU memory;
the RFI elimination submodule is used for eliminating interference of the quick radio storm observation data in the GPU memory in a frequency domain;
the achromatic submodule receives the fast radio storm observation data subjected to interference elimination through the RFI elimination submodule and performs achromatic calculation;
the candidate searching submodule extracts a fast radio storm candidate from the fast radio storm observation data output by the achromatic submodule;
and the data copying submodule copies the fast radio storm candidate extracted by the candidate searching submodule into a CPU memory from the GPU memory.
8. A multi-beam receiver fast-speed-thunderstorm real-time detection system, comprising the multi-beam receiver fast-speed-thunderstorm real-time detection device of claim 1 and a radio telescope connected to the multi-beam receiver fast-speed-thunderstorm real-time detection device.
9. A quick radio storm real-time detection method of a multi-beam receiver comprises the following steps:
carrying out signal acquisition and frequency domain transformation on the N paths of wave beam signals, outputting N paths of rapid radio storm observation data, carrying out high-speed data exchange, and then distributing the data to each computing node;
respectively processing the N paths of quick radio storm observation data in real time, respectively extracting quick radio storm candidates in each path of quick radio storm observation data and respectively storing the quick radio storm candidates;
according to the time information, the data of the rapid radio storm candidate in the N paths of rapid radio storm observation data at the same time are gathered, and concurrent signal synthesis is carried out; and judging the rapid radio storm candidate to perform rapid radio storm candidate detection and classification, mapping the rapid radio storm candidate, linking the rapid radio storm candidate to a network publishing unit to publish, and triggering by modifying a Redis database key value.
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