CN116346939B - Data compression method and device, electronic equipment and storage medium - Google Patents
Data compression method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN116346939B CN116346939B CN202310300765.6A CN202310300765A CN116346939B CN 116346939 B CN116346939 B CN 116346939B CN 202310300765 A CN202310300765 A CN 202310300765A CN 116346939 B CN116346939 B CN 116346939B
- Authority
- CN
- China
- Prior art keywords
- data
- compressed
- compression
- dagc
- group
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000013144 data compression Methods 0.000 title claims abstract description 48
- 238000007906 compression Methods 0.000 claims abstract description 178
- 230000006835 compression Effects 0.000 claims abstract description 178
- 238000003384 imaging method Methods 0.000 claims description 31
- 238000004590 computer program Methods 0.000 claims description 18
- 238000005070 sampling Methods 0.000 claims description 16
- 238000004806 packaging method and process Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 description 12
- 238000004891 communication Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 230000006837 decompression Effects 0.000 description 6
- 238000003672 processing method Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000002592 echocardiography Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 238000012856 packing Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000007907 direct compression Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
The embodiment of the invention discloses a data compression method, a data compression device, electronic equipment and a storage medium. The method comprises the following steps: echo data of the array antenna is obtained as data to be compressed, the data to be compressed are grouped according to the corresponding transceiving combination to obtain grouped data to be compressed, I data and Q data of each group of data to be compressed, which meet specified conditions, are determined, the compression factors corresponding to the I data and the Q data are determined based on the number of valued bits of the I data and the Q data, and the I data and the Q data in each group of data to be compressed are compressed according to the compression factors. According to the embodiment of the invention, the data to be compressed are grouped according to the transceiving combination, the I data and the Q data of each group of the data to be compressed are determined to meet the specified condition, the corresponding compression factors are determined to compress based on the valued bit numbers of the I data and the Q data, the data compression can be realized with lower complexity and smaller error, the speed requirement of returning high-speed serial signals is reduced while the compression precision is improved, and the power consumption is reduced.
Description
Technical Field
The present invention relates to the field of wireless communications and imaging technologies, and in particular, to a data compression method, apparatus, electronic device, and storage medium.
Background
The millimeter wave imaging technology developed in recent years is a new generation of safe, efficient and civilized human body security inspection system, and has the characteristics of convenience, high efficiency, safety and innocuity. The step frequency continuous wave signal is one of the common signal forms of radar and millimeter wave imaging, but the rapid imaging based on the planar multi-base MIMO array has the advantages of quick acquisition time, huge echo data volume, low cost and low power consumption, so that the rapid and efficient transmission of imaging echoes to a post-processing module faces a small challenge.
Fig. 1 is a schematic diagram of planar multi-base MIMO array imaging in the prior art, and the planar multi-base MIMO array imaging is characterized in that: the working bandwidth is 30-80Ghz, the relative coordinates of a receiving antenna and a transmitting antenna channel are fixed, as shown in figure 1, the method comprises the steps of imaging a body to be detected, transmitting array elements and receiving array elements, rT1 and rR1 are transmitting and receiving echo pairs with relatively close space positions of the transmitting array elements, rT2 and rR2 are transmitting and receiving echo pairs with relatively far space positions of the transmitting array elements, the receiving echo pairs are affected by mutual coupling, the power of the near part is high, the power of the far part is low, the power difference of different transmitting and receiving pairs is more than 40db, signals with large power fluctuation are compressed according to the direct compression of data, the signal distortion is large, and the precision loss is relatively large after the compression, so that a data compression method is needed to solve the problem.
Disclosure of Invention
In view of the above, the present invention provides a data compression method, apparatus, electronic device and storage medium, which can compress IQ data with lower complexity and smaller error, and reduce the rate requirement of returning high-speed serdes on the basis of improving compression accuracy, thereby reducing power consumption and cost.
According to an aspect of the present invention, an embodiment of the present invention provides a data compression method, including:
acquiring echo data of an array antenna as data to be compressed;
grouping the data to be compressed according to the receiving-transmitting combination to obtain grouped data to be compressed;
determining I data and Q data of each group of data to be compressed meeting specified conditions, and determining compression factors corresponding to the I data and the Q data based on the valued bit numbers of the I data and the Q data;
and compressing the I data and the Q data in the data to be compressed of each packet according to the compression factor.
According to another aspect of the present invention, an embodiment of the present invention further provides a data compression processing apparatus, including:
the data acquisition module is used for acquiring echo data of the array antenna as data to be compressed;
the grouping module is used for grouping the data to be compressed according to the belonging transceiving combination to obtain grouping data to be compressed;
The determining module is used for determining I data and Q data of the data to be compressed of each packet, which meet the specified conditions, and determining the compression factors corresponding to the I data and the Q data respectively based on the valued bit numbers of the I data and the Q data;
and the compression module is used for compressing the I data and the Q data in the data to be compressed of each packet according to the compression factor.
According to another aspect of the present invention, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data compression method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, an embodiment of the present invention further provides a computer readable storage medium, where computer instructions are stored, where the computer instructions are configured to cause a processor to execute the data compression method according to any one of the embodiments of the present invention.
According to another aspect of the invention, embodiments of the invention also provide a computer program product comprising a computer program which, when executed by a processor, implements the data compression method according to any of the embodiments of the invention.
According to the technical scheme, the compressed data are grouped according to the affiliated transceiving combination, the I data and the Q data of each group of data to be compressed are determined to meet the specified conditions, the compression factors corresponding to the I data and the Q data are determined based on the valued bit numbers of the I data and the Q data, the compression of the IQ data can be realized with lower complexity and smaller error, the speed requirement of returning high-speed serdes is reduced on the basis of improving the compression precision, and therefore the power consumption and the cost are reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a planar multi-base MIMO array imaging in the prior art;
FIG. 2 is a flow chart of a data compression processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart of another data compression method according to an embodiment of the present invention;
FIG. 4 is a flow chart illustrating the overall steps of data compression, data transmission and data decompression according to an embodiment of the present invention;
FIG. 5 is a block diagram illustrating a data compression apparatus 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 that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In an embodiment, fig. 2 is a flowchart of a data compression processing method according to an embodiment of the present invention, where the method may be performed by a data compression processing device, and the data compression processing device may be implemented in hardware and/or software, and the data compression processing device may be configured in an electronic device.
As shown in fig. 2, the method specifically includes the steps of:
s210, acquiring echo data of the array antenna as data to be compressed.
The echo data may be understood as data sent out and returned by the array antenna, and may include amplitude information and phase information. In this embodiment, the echo data are multidimensional data, and since the array antenna includes a plurality of receiving antennas and a plurality of transmitting antennas, corresponding echo data are corresponding to different frequency points. The data to be compressed refers to echo data that needs to be data compressed.
In this embodiment, when an echo data acquisition instruction sent by the upper computer is received, the analog-to-digital converter (Analog to Digital Converter, ADC) is controlled to acquire signal echoes of the array antenna at a certain sampling frequency according to an acquisition timing requirement, and the acquired echo data is stored in the memory as data to be compressed; in some embodiments, the echo data of the plurality of array antennas may also be constructed by adopting an array signal echo simulation in a delay manner based on the transmission signal, and the echo data is used as the data to be compressed, which is not limited herein.
S220, grouping the data to be compressed according to the receiving-transmitting combination to obtain grouping data to be compressed.
The transceiver combination refers to a transceiver combination formed by a receiving antenna and a transmitting antenna, and the transceiver combination can be in various transceiver combination modes. The data to be compressed in a grouping can be understood as data to be compressed in a grouping formed by echo data of all frequency points corresponding to the same transceiving combination, and of course, echo data of all frequency points corresponding to each same transceiving combination can form a group of data to be compressed in a grouping and can be used as a minimum compression group unit.
In this embodiment, the collected echo data of different transceiving combinations and different frequency points may be read from the memory, and the data to be compressed of the same transceiving combination under different frequency points may be formed into a group of grouped data to be compressed according to the power characteristic, which may be understood as grouping according to the transceiving combination to which the group belongs, and reordering the data to be compressed. In some embodiments, the field information of the receiving antenna and the transmitting antenna may be identified, so that echo data corresponding to the frequency points of the receiving antenna and the transmitting antenna are sent to corresponding compression channels through the field information, and then each compression channel inputs data to be compressed into a buffer, and the segmented compression processing is performed in a byte stream manner. In this embodiment, besides the above manner of grouping the data to be compressed, the dimension of the amplitude variation reaching a certain amplitude variation threshold may be searched to form a group of compression units from the echo data of which the amplitude variation reaches the amplitude variation threshold.
S230, determining I data and Q data of each group of data to be compressed meeting specified conditions, and determining the compression factors corresponding to the I data and the Q data based on the valued bit numbers of the I data and the Q data.
Wherein, the I data refers to in-phase data, and can characterize amplitude; q data refers to quadrature data, which can characterize phase. The compression factor may be understood as a compression factor, and may include a compression factor corresponding to I data and a compression factor corresponding to Q data in the data to be compressed of each group, that is, the I data and the Q data in the data to be compressed of each group are both corresponding to the corresponding compression factors.
In this embodiment, a data two-factor compression method may be preset, for example, may be a maximum absolute value two-factor compression method, so as to determine the I data with the maximum absolute value and the Q data with the maximum absolute value, search the first valid bit number corresponding to the I data with the maximum absolute value and the second valid bit number corresponding to the Q data with the maximum absolute value, and determine the first digital automatic gain control (Digital Automatic Gain Control, DAGC) compression factor corresponding to the I data compression and the second DAGC compression factor corresponding to the Q data according to the first valid bit number, the second valid bit number and the compressed target bit width; in some embodiments, according to the data format types corresponding to the I data and the Q data of each packet of data to be compressed, where the I data and the Q data meet the specified conditions, a corresponding preset calculation mode is selected to calculate and determine DAGC compression factors corresponding to the I data and the Q data respectively through the preset calculation mode.
S240, compressing the I data and the Q data in the data to be compressed of each packet according to the compression factor.
In this embodiment, the I data and the Q data in the data to be compressed of each packet may be respectively compressed by shifting the I data and the Q data according to the first DAGC compression factor and the second DAGC compression factor, respectively; when shifting the I data and the Q data in the data to be compressed in each packet, the I data and the Q data may be shifted by shifting the I data by the first DAGC compression factor and the second DAGC compression factor, or by shifting the I data by the first DAGC compression factor, or shifting the Q data by the second DAGC compression factor, or by shifting the I data by the second DAGC compression factor, or by shifting the Q data by two simultaneously. In some embodiments, the I data and the Q data in the data to be compressed of each packet may be buffered, and the buffered I data and Q data may be aligned with respective compression factors in time sequence, so as to compress the I data and the Q data respectively.
According to the technical scheme, the compressed data are grouped according to the affiliated transceiving combination, the I data and the Q data of each group of data to be compressed are determined to meet the specified conditions, the compression factors corresponding to the I data and the Q data are determined based on the valued bit numbers of the I data and the Q data, the compression of the IQ data can be realized with lower complexity and smaller error, the speed requirement of returning high-speed serdes is reduced on the basis of improving the compression precision, and therefore the power consumption and the cost are reduced.
In one embodiment, after compressing the I data and the Q data in the data to be compressed of each packet according to the compression factor, the method includes:
and respectively packaging and packing each group of compressed data and the compression factors after compression in the compression period, and sending each packaged and packed compressed data and the compression factors to the imaging equipment through the high-speed serial signal, so that the imaging equipment decompresses each compressed data to restore the decompressed data with the bit width before compression.
Wherein the imaging device refers to a programmable imaging hardware device, which may be an FPGA imaging device, for example. The compression period refers to a preset period for compressing the data to be compressed, and the compression period can be set by itself through experience, experiment and other modes, or can be set by itself manually, which is not limited in this embodiment.
In this embodiment, each set of compressed data after compression in the compression period and the compression factors corresponding to each set of compressed data respectively may be packaged respectively, so that each packaged compressed data and the compression factors corresponding to each set of compressed data respectively are sent to the imaging device through the high-speed serial signal interface of the back board or the optical fiber, so that each set of compressed data is decompressed in the imaging device, and decompressed data with a bit width before compression is recovered. Specifically, the first Digital Automatic Gain Control (DAGC) compression factor corresponding to the I data and the second Digital Automatic Gain Control (DAGC) compression factor corresponding to the Q data in each compressed data set are combined with a first preset adjustment coefficient, and the second adjustment coefficient is expanded into the I data and the Q data before compression. It should be noted that, the decompressed I data and Q data may be transmitted to an imaging module in the imaging device, so as to perform imaging, and be sent to an upper computer for display through a network.
In one embodiment, the decompression method includes:
determining a first Digital Automatic Gain Control (DAGC) compression factor corresponding to I data and a second Digital Automatic Gain Control (DAGC) compression factor corresponding to Q data in each compressed set of compressed data;
shifting the I data left in each group of compressed data by a first digital automatic gain control DAGC compression factor bit, and combining a first preset adjustment coefficient to expand the I data into the I data before compression; wherein the first adjustment coefficient
Shifting the Q data in each group of compressed data left by a second digital automatic gain control DAGC compression factor bit, and combining a second preset adjustment coefficient to expand the Q data into the Q data before compression; wherein the second adjustment coefficient
The first adjusting coefficient refers to an adjusting coefficient for adjusting decompressed I data, the second adjusting coefficient refers to an adjusting coefficient for adjusting decompressed Q data, and the I data and the Q data before being restored and compressed in decompression can be correspondingly adjusted through the first adjusting coefficient and the second adjusting coefficient so as to improve data restoration accuracy in decompression. In this embodiment, the first adjustment coefficient and the second adjustment coefficient may be set by experience, or may be set by user according to the user's requirement, which is not limited in this embodiment.
In this embodiment, the I data in each compressed data packet may be shifted to the left by the first digital automatic gain control DAGC compression factor by determining the first digital automatic gain control DAGC compression factor corresponding to the I data in each compressed data packetAfter the bit of the factor is reduced, the pre-configured first adjusting coefficient is combined to expand the compressed I data, and after the Q data in each group of compressed data is shifted leftwards by the bit of the second digital automatic gain control DAGC compressing factor by determining the second digital automatic gain control DAGC compressing factor corresponding to the Q data in each group of compressed data, the pre-configured second adjusting coefficient is combined to expand the compressed Q data. Illustratively, consider the case of decompressing I data, assuming a first DAGC compression factor of K I According to the first DAGC factor K I The I data part in each packet compressed data is expanded into the bit (bit) corresponding to the I data in each packet compressed data before compression, and multiplied byAnd T is added, whereinI.e. the compressed I data for each sampling point in the compression period is shifted left by a first DAGC factor K I After the bits, the low order bits are padded with 1bit '1' and (K I -1)) bit '0', of course, if K I =0, the low order bits do not pad the data.
In an embodiment, fig. 3 is a flowchart of another data compression method according to an embodiment of the present invention, where echo data of an array antenna is obtained as data to be compressed based on the above embodiments; grouping the data to be compressed according to the belonging transceiving combination to obtain grouped data to be compressed; the method comprises the steps of determining I data and Q data of each group of data to be compressed, which meet specified conditions, determining compression factors corresponding to the I data and the Q data respectively based on the valued bit numbers of the I data and the Q data, and compressing the I data and the Q data in each group of data to be compressed according to the compression factors to further refine.
As shown in fig. 3, the data compression method in this embodiment may specifically include the following steps:
and S310, when a data acquisition instruction sent by the upper computer is received, controlling the analog-to-digital converter ADC to acquire echo data as data to be compressed according to a preset sampling frequency according to a preset sampling period.
The preset sampling period refers to a period when sampling is performed on the sampling points. The preset sampling frequency refers to a frequency at which each sampling point is sampled.
In this embodiment, the upper computer issues a data acquisition instruction to the field programmable gate array (Field Programmable Gate Array, FPGA), acquires echo data of the array antenna, and after the FPGA receives the acquisition instruction of the upper computer, can control the ADC to perform step-frequency continuous wave (Stepped Frequency Continuous Waveform, SFCW) echo acquisition according to a certain sampling period, and performs down-conversion filtering on the acquired array echo data to extract the data to the baseband FPGA, and store the data to be compressed as data to be compressed, where the data to be compressed includes echo data of different transceiver combinations and different frequency points. For example, it is assumed that 1000 transmitting antennas (2 10 ) 1000 receiving antennas (2) 10 ) There are 100 frequency points, so there are 1024×1024×100 echo data in the array echo, and there are 1000×1000 transmit-receive combinations on the same frequency point.
S320, reading data to be compressed in a memory, and extracting home antennae corresponding to the data to be compressed respectively, wherein the home antennae are a receiving and transmitting combination formed by a receiving antenna and a transmitting antenna.
In this embodiment, since the data to be compressed acquired at the beginning is echo data of multiple transmitting antennas and multiple receiving antennas on the same or different frequency points, the echo data is not sequential, in order to facilitate subsequent compression of the echo data, when the data to be compressed is read from the memory, the echo data of different transceiver pairs and different frequency points acquired in the memory are read, and the transceiver pair combinations corresponding to each data to be compressed can be extracted according to the antenna names corresponding to each transceiver combination.
S330, the data to be compressed of the same attribution antenna under different frequency points form a group of data to be compressed, wherein the group data to be compressed comprises echo data of at least two frequency points.
In this embodiment, the data to be compressed of the same attribution antenna under different frequency points form a group of data to be compressed, which can be understood as that echo data corresponding to all frequency points corresponding to a transceiving combination formed by a certain transmitting antenna and a certain receiving antenna form a group of data to be compressed. For example, the receiving antenna 1 and the transmitting antenna 1 are a transceiver combination, and the number of frequency points is 8; the number of the receiving antenna 2 and the transmitting antenna 2 is 8, so that the echo data of the receiving antenna 1 and the transmitting antenna 1 at the frequency point 1 and the echo data of the frequency point 2 need to be combined, the echo data of the frequency point 8 is all put into one group to form a group of group to-be-compressed data, and the echo data of the receiving antenna 2 and the transmitting antenna 2 at the frequency point 1 and the echo data of the frequency point 2 need to be combined, and the echo data of the frequency point 8 is all put into one group to form a group to-be-compressed data.
S340, extracting the corresponding I data and Q data in the data to be compressed of each group.
In this embodiment, echo data corresponding to all frequency points corresponding to a transceiver combination formed by a certain transmitting antenna and a certain receiving antenna are formed into one piece of data to be compressed, and after all pieces of data to be compressed are obtained, I data and Q data can be extracted from each piece of data to be compressed respectively.
S350, searching the I data with the largest absolute value and the Q data with the largest absolute value from the I data and the Q data by adopting a maximum absolute value double-factor compression method.
In this embodiment, the I data with the largest absolute value is found out from the I data by using the maximum absolute value two-factor compression method, and the Q data with the largest absolute value is found out from the Q data. Specifically, the search may be performed from the I data and the Q data by way of traversing the search, or may be performed from the I data and the Q data by way of comparison, or may be sequentially ordered according to the absolute value, and then the I data with the largest absolute value and the Q data with the largest absolute value may be found from the ordered sequences, which is not limited in this embodiment.
S360, determining a first significant bit number of the I data with the largest absolute value and a second significant bit number of the Q data with the largest absolute value.
The first significant bit number refers to the significant bit number corresponding to the I data with the largest absolute value, that is, the bit number from the highest nonzero position. The second significant bit number refers to the significant bit number corresponding to the Q data having the largest absolute value.
In this embodiment, a first significant bit number of the I data with the largest absolute value and a second significant bit number of the Q data with the largest absolute value may be determined from the I data with the largest absolute value and the Q data with the largest absolute value, where the value range of the first significant bit number M is greater than or equal to 0 and less than the bit number before compression, and the value range of the second significant bit number N is greater than or equal to 0 and less than the bit number before compression.
And S370, determining a first digital automatic gain control DAGC compression factor corresponding to the I data compression according to the first effective bit number and the compressed target bit width.
The target bit width refers to the target bit number corresponding to the I data and the Q data in the data to be compressed of each packet. The target bit width can be set by human body in advance.
In this embodiment, a first DAGC compression factor corresponding to compression of the I data may be determined according to a first significant bit number corresponding to the I data in the data to be compressed of each packet and a pre-configured target bit width after compression. Specifically, under the condition that the target bit width after compression is larger than the first valid bit number, the value of the first DAGC compression factor is 0; under the condition that the compressed target bit width is smaller than or equal to the first significant bit number, the first DAGC compression factor takes a value of M-cbw+1, wherein M is represented as the first significant bit number, and cbw is represented as the pre-configured compressed target bit width.
S380, determining a second digital automatic gain control DAGC compression factor corresponding to the Q data according to the second effective bit number and the target bit width.
In this embodiment, the second DAGC compression factor corresponding to the Q data compression may be determined according to the second significant bit number corresponding to the Q data in the data to be compressed of each packet and the pre-configured target bit width after compression. Specifically, when the target bit width after compression is greater than the second significant bit number, the second DAGC compression factor takes a value of 0; and under the condition that the compressed target bit width is smaller than or equal to the second significant bit number, the second DAGC compression factor takes the value of N-cbw+1, wherein N is represented as the second significant bit number, and cbw is represented as the pre-configured compressed target bit width.
S390, right shifting the I data in the data to be compressed of each packet by the bit number of the first digital automatic gain control DAGC compression factor to compress the I data.
In the present embodiment, by right-shifting the I data in the data to be compressed of each packet by the bit number of the first digital automatic gain control DAGC compression factor to compress the I data, it is assumed that the I data I has the largest absolute value max The significant bit number of (i.e., the bit number from the highest nonzero bit, 0.ltoreq.M.ltoreq.ucbw), where ucbw is expressed as the bit number before compression, the first DAGC compression factor K of the I data I Can be expressed asFirst DAGC compression factor K to obtain I data I Dividing the I data part in the data to be compressed by +.>I.e. reserve sign bit, fetch bit [ K ] I +cbw-2:K I ]The cbw bits are taken together.
S3100, right shifting Q data in the data to be compressed of each packet by the bit number of the second digital automatic gain control DAGC compression factor to compress the Q data.
In the present embodiment, by right-shifting the Q data in the data to be compressed of each packet by the number of bits of the second digital automatic gain control DAGC compression factor to compress the Q data, it is assumed that the Q data Q has the largest absolute value max Is effective bit of (a) A number N (N is more than or equal to 0 and less than or equal to ucbw), wherein ucbw is expressed as the bit number before compression, and the second DAGC compression factor K of the Q data Q Can be expressed asSecond DAGC compression factor K to obtain Q data Q After that, the Q data part in the packet data to be compressed is divided by +.>
According to the technical scheme, the data to be compressed in the memory are read and the attribution antennas corresponding to the data to be compressed respectively, the data to be compressed of the same attribution antennas under different frequency points form a group of group data to be compressed, so that the fluctuation of the signal power of multiple frequency points in the group is ensured to be less than 3db, and the compressed data can be transmitted by using smaller compression bit width; searching the I data with the largest absolute value and the Q data with the largest absolute value from the I data and the Q data by adopting a maximum absolute value double-factor compression method, determining a first effective bit number of the I data with the largest absolute value and a second effective bit number of the Q data with the largest absolute value, and determining a first DAGC compression factor corresponding to I data compression according to the first effective bit number and the compressed target bit width; determining a second DAGC compression factor corresponding to the Q data according to the second effective bit number and the target bit width, right-shifting the I data in the data to be compressed of each packet by the bit number of the first DAGC compression factor to compress the I data, right-shifting the Q data in the data to be compressed of each packet by the bit number of the second DAGC compression factor to compress the Q data, further reducing signal distortion, realizing the compression of the IQ data with smaller error, and reducing the speed requirement of returning high-speed serdes on the basis of improving compression precision, thereby reducing power consumption and cost.
In an embodiment, to facilitate better understanding of the data compression method, the data compression method may be further described as a preferred embodiment. According to the embodiment, by analyzing the imaging echo characteristics of a planar multiple-in multiple-out (MIMO) array, according to the characteristics of large power difference of different transceiving combinations and small power difference of the same transceiving combination at different frequency points, echo data regrouping is increased, echo data of the same transceiving combination at different frequency points are formed into a group of minimum group compression units, the maximum absolute value double-factor compression method is adopted in each minimum group compression unit to search the maximum absolute value I data and the maximum absolute value Q data, the corresponding compression factors are determined based on the value bit numbers of the I data and the Q data, the I data and the Q data in the data to be compressed in each group are compressed according to the compression factors, the fluctuation of multi-frequency point signal power in the group can be ensured to be less than 3db, the compressed data can be transmitted by using smaller compression bit width, the speed requirement of the feedback high-speed serdes is reduced on the basis of improving the compression precision, and therefore the power consumption and the cost are reduced.
In this embodiment, fig. 4 is an overall flowchart of data compression, data transmission and data decompression according to an embodiment of the present invention. As shown in fig. 4, a whole frame is provided, in which a baseband processing FPGA is used to control a front-end switch network, echo data of an array antenna is acquired, processed and compressed in real time and transmitted to an imaging FPGA device, and then the imaging FPGA device is used to image the echo data, and then the uploaded processed image is displayed for an upper computer.
As shown in fig. 4, the specific steps are as follows:
a1, the upper computer transmits the return data to acquire an instruction in real time.
A2, after receiving an echo data acquisition instruction issued by the upper computer, the FPGA controls the ADC to acquire SFCW signal echo data according to an acquisition time sequence requirement, and performs down-conversion filtering on the acquired echo data to extract the echo data to a baseband.
In this embodiment, echo data echo a b c of different frequency points of different transmission and reception combinations are acquired, where a is the number of receiving antennas, b=the number of transmitting antennas, and c=the number of frequency points in the echo of the multi-base MIMO array.
a3, echo data grouping is carried out according to the power characteristics: all echo data of the same transceiver under different frequency points are formed into a group of data to be compressed, and the echo data can be understood as re-sequencing echo [ a ] [ b ] [ c ] into echo' [ c ] [ a ] [ b ] according to the frequency points in the echo data of the multi-base MIMO array antenna as a compression unit.
and a4, carrying out packet compression on the data to be compressed of each packet by adopting maximum absolute value double-factor compression, and generating echo data corresponding to the compression factors and after compression.
In the present embodiment, for each compression unit echo' [ c ]][a][b]A, b compressing units c are shared, and each compressing unit c is sequentially subjected to double-factor compression of the absolute value of the maximum value in the group so as to obtain a first DAGC compressing factor K corresponding to I data in each compressing unit c I A second DAGC compression factor K corresponding to the Q data Q Together a and b are 2 compression factors K I And K Q I.e. the I data and Q data of each compression unit c each have an independent compression factor.
a5, high-speed serdes transmission: compressing each group of compressed data by compression factor K I And K Q The package is sent to the imaging FPGA through a backplane or a high-speed serdes interface of the fiber optics.
a6, decompressing recovery data: and decompressing each compressed data to restore decompressed data with the bit width before compression.
and a7, transmitting the decompressed echo data to a MIMO imaging module for imaging, and transmitting the imaging data to an upper computer for display after packaging the imaging data.
a8, the upper computer issues an instruction for stopping acquisition.
and a9, after receiving an acquisition stopping instruction of the upper computer, the FPGA stops SFCW signal acquisition and jumps to a state waiting for acquisition.
In an embodiment, fig. 5 is a block diagram of a data compression device according to an embodiment of the present invention, where the device is suitable for compressing echo data of an array antenna, and the device may be implemented by hardware/software. The data compression processing method can be configured in the electronic equipment to realize the data compression processing method in the embodiment of the invention.
As shown in fig. 5, the apparatus includes: a data acquisition module 510, a grouping module 520, a determination module 530, and a compression module 540.
The data acquisition module 510 is configured to acquire echo data of the array antenna as data to be compressed;
The grouping module 520 is configured to group the data to be compressed according to the associated transceiving combination to obtain grouped data to be compressed;
a determining module 530, configured to determine middle I data and Q data of each packet to be compressed data meeting a specified condition, and determine respective corresponding compression factors based on the number of valued bits of the I data and the Q data;
and a compression module 540, configured to compress the I data and the Q data in the data to be compressed in each packet according to the compression factor.
According to the embodiment of the invention, the grouping module groups the compressed data according to the belonging transceiving combination, the determining module determines the I data and the Q data of each group of data to be compressed according to the specified conditions, and the compressing module determines the compression factors corresponding to the I data and the Q data respectively based on the valued bit numbers of the I data and the Q data, so that the compression of the IQ data can be realized with lower complexity and smaller error, and the speed requirement of returning high-speed serdes is reduced on the basis of improving the compression precision, thereby reducing the power consumption and the cost.
In one embodiment, the data acquisition module 510 includes:
the data acquisition unit is used for controlling the analog-to-digital converter ADC to acquire the echo data as the data to be compressed according to a preset sampling frequency according to a preset sampling period when receiving a data acquisition instruction sent by the upper computer.
In one embodiment, the grouping module 520 includes:
the reading unit is used for reading the data to be compressed in the memory and extracting the corresponding home antennae of the data to be compressed, wherein the home antennae are a receiving and transmitting combination formed by a receiving antenna and a transmitting antenna;
the grouping unit is used for grouping the data to be compressed of the same home antenna under different frequency points into a group of grouping the data to be compressed, wherein each grouping of the data to be compressed comprises echo data with at least two frequency points.
In one embodiment, the determining module 530 further includes:
the data extraction unit is used for extracting I data and Q data which correspond to the data to be compressed in each group respectively;
the searching unit is used for searching the I data with the largest absolute value and the Q data with the largest absolute value from the I data and the Q data by adopting a maximum absolute value double-factor compression method;
a valid bit number determining unit, configured to determine a first valid bit number of the I data with the largest absolute value and a second valid bit number of the Q data with the largest absolute value, where a value range of the first valid bit number M is 0-M < ucbw, and a value range of the second valid bit number N is 0-N < ucbw; wherein ucbw is expressed as the number of bits of data bits before compression;
A first factor determining unit, configured to determine a first digital automatic gain control DAGC compression factor corresponding to the I data compression according to the first significant bit number and the compressed target bit width;
and the second factor determining unit is used for determining a second digital automatic gain control DAGC compression factor corresponding to the Q data according to the second effective bit number and the target bit width.
In one embodiment, compression module 540 includes:
a first data compression unit, configured to shift the I data in the data to be compressed of each packet to the right by a bit number of a first digital automatic gain control DAGC compression factor, so as to compress the I data; wherein the first digital automatic gain control DAGC compression factor is formulated asWherein M is the first significant bit number, cbw is represented as the target bit width;
a second data compression unit for right-shifting the Q data in the data to be compressed of each packet by a bit number of a second digital automatic gain control DAGC compression factor to compress the Q data; wherein the second digital automatic gain control DAGC compression factor is formulated asWhere N is the second significant number of bits and cbw is represented as the target bit width.
In an embodiment, the apparatus further comprises:
and the transmitting module is used for respectively packaging and packing each group of compressed data after the I data and the Q data in each group of data to be compressed are compressed according to the compression factors, and transmitting each packaged and packed compressed data and the compression factors to the imaging equipment through a high-speed serial signal so as to enable the imaging equipment to decompress each compressed data to restore the decompressed data with the bit width before compression.
In an embodiment, the decompression method includes:
determining a first Digital Automatic Gain Control (DAGC) compression factor corresponding to I data and a second Digital Automatic Gain Control (DAGC) compression factor corresponding to Q data in each compressed set of compressed data;
shifting the I data in each group of compressed data left by the bit of the first digital automatic gain control DAGC compression factor, and combining a first preset adjustment coefficient to expand the I data into the I data before compression; wherein the first adjustment coefficient
Shifting the Q data left in each packet of compressed data by the second numberAfter dynamic gain control DAGC compresses factor bits, combining a second pre-configured adjustment coefficient to expand into Q data before compression; wherein the second adjustment coefficient
The data compression processing device provided by the embodiment of the invention can execute the data compression processing method applied to the financial system provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
In an embodiment, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the data compression method.
In some embodiments, the data compression processing method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the data compression method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the data compression method in any other suitable way (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data compression apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method of data compression, comprising:
acquiring echo data of an array antenna as data to be compressed;
grouping the data to be compressed according to the receiving-transmitting combination to obtain grouped data to be compressed;
determining I data and Q data of each group of data to be compressed meeting specified conditions, and determining compression factors corresponding to the I data and the Q data based on the valued bit numbers of the I data and the Q data;
Compressing I data and Q data in the data to be compressed of each group according to the compression factor;
the acquiring the echo data of the array antenna as the data to be compressed includes:
when a data acquisition instruction sent by an upper computer is received, controlling an analog-to-digital converter ADC to acquire echo data as the data to be compressed according to a preset sampling frequency according to a preset sampling period;
the step of grouping the data to be compressed according to the corresponding transceiving combination to obtain grouping data to be compressed comprises the following steps:
reading the data to be compressed in a memory and extracting the corresponding home antennae of the data to be compressed, wherein the home antennae are a receiving and transmitting combination formed by a receiving antenna and a transmitting antenna;
and forming a group of data to be compressed of the same home antenna under different frequency points according to the power characteristics, wherein the group of data to be compressed comprises echo data of at least two frequency points.
2. The method of claim 1, wherein determining the I data and the Q data for each of the packets to be compressed meets a specified condition, and determining the compression factor based on the number of valued bits of the I data and the Q data, comprises:
Extracting I data and Q data which correspond to the data to be compressed in each group respectively;
searching the I data with the largest absolute value and the Q data with the largest absolute value from the I data and the Q data by adopting a maximum absolute value double-factor compression method;
determining a first effective bit number of the I data with the largest absolute value and a second effective bit number of the Q data with the largest absolute value, wherein the value range of the first effective bit number M is more than or equal to 0 and less than or equal to M and less than or equal to ucbw, and the value range of the second effective bit number N is more than or equal to 0 and less than or equal to N and less than or equal to ucbw; wherein ucbw is expressed as the number of bits of data bits before compression;
determining a first Digital Automatic Gain Control (DAGC) compression factor corresponding to the I data compression according to the first effective bit number and the compressed target bit width;
and determining a second digital automatic gain control DAGC compression factor corresponding to the Q data according to the second significant bit number and the target bit width.
3. The method of claim 2, wherein compressing the I data and the Q data in each of the packet data to be compressed according to the compression factor comprises:
right shifting the I data in the data to be compressed of each packet by a bit number of a first digital automatic gain control DAGC compression factor to compress the I data; wherein the first digital automatic gain control DAGC compression factor is formulated as Wherein M is the firstA significant bit number, cbw, is denoted as the target bit width;
right shifting the Q data in the packet data to be compressed by a bit number of a second digital automatic gain control DAGC compression factor to compress the Q data; wherein the second digital automatic gain control DAGC compression factor is formulated asWhere N is the second significant number of bits and cbw is represented as the target bit width.
4. A method according to claim 3, wherein after said compressing the I data and the Q data in each of the packet data to be compressed according to the compression factor, comprising:
and respectively packaging the compressed data and the compression factors in each group in a compression period, and sending the packaged compressed data and the compression factors to an imaging device through a high-speed serial signal so that the imaging device decompresses the compressed data to restore decompressed data with the bit width before compression.
5. The method of claim 4, wherein the means for decompressing comprises:
determining a first Digital Automatic Gain Control (DAGC) compression factor corresponding to I data and a second Digital Automatic Gain Control (DAGC) compression factor corresponding to Q data in each compressed set of compressed data;
Shifting the I data in each group of compressed data left by the bit of the first digital automatic gain control DAGC compression factor, and combining a first preset adjustment coefficient to expand the I data into the I data before compression; wherein the first adjustment coefficient
Shifting the Q data of each packet of compressed data to the left by the second digital automatic gainAfter the DAGC compression factor bit is controlled, combining a second preset adjustment coefficient to expand the DAGC compression factor bit into Q data before compression; wherein the second adjustment coefficient
6. A data compression apparatus, comprising:
the data acquisition module is used for acquiring echo data of the array antenna as data to be compressed;
the grouping module is used for grouping the data to be compressed according to the belonging transceiving combination to obtain grouping data to be compressed;
the determining module is used for determining I data and Q data of the data to be compressed of each packet, which meet the specified conditions, and determining the compression factors corresponding to the I data and the Q data respectively based on the valued bit numbers of the I data and the Q data;
the compression module is used for compressing the I data and the Q data in the data to be compressed of each group according to the compression factor;
the data acquisition module comprises:
The data acquisition unit is used for controlling the analog-to-digital converter ADC to acquire the echo data as the data to be compressed according to a preset sampling frequency according to a preset sampling period when receiving a data acquisition instruction sent by the upper computer;
the grouping module comprises:
the reading unit is used for reading the data to be compressed in the memory and extracting the corresponding home antennae of the data to be compressed, wherein the home antennae are a receiving and transmitting combination formed by a receiving antenna and a transmitting antenna;
the grouping unit is used for grouping the data to be compressed of the same home antenna under different frequency points into a group of grouping the data to be compressed according to the power characteristics, wherein each grouping of the data to be compressed comprises echo data with at least two frequency points.
7. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data compression method of any one of claims 1-5.
8. A computer readable storage medium storing computer instructions for causing a processor to perform the data compression method of any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310300765.6A CN116346939B (en) | 2023-03-23 | 2023-03-23 | Data compression method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310300765.6A CN116346939B (en) | 2023-03-23 | 2023-03-23 | Data compression method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116346939A CN116346939A (en) | 2023-06-27 |
| CN116346939B true CN116346939B (en) | 2024-04-02 |
Family
ID=86894464
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310300765.6A Active CN116346939B (en) | 2023-03-23 | 2023-03-23 | Data compression method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116346939B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102790999A (en) * | 2011-05-19 | 2012-11-21 | 中兴通讯股份有限公司 | Data compression, transmission, receiving and uncompressing method and corresponding device |
| CN103634273A (en) * | 2012-08-21 | 2014-03-12 | 电信科学技术研究院 | Data compression transmitting and decompression method and apparatus |
| CN108965333A (en) * | 2018-08-30 | 2018-12-07 | 北京锐安科技有限公司 | A kind of data compression, decompression method, system and electronic equipment |
| CN113484834A (en) * | 2021-05-17 | 2021-10-08 | 西安电子科技大学 | Target detection method based on signal compression of millimeter wave radar |
-
2023
- 2023-03-23 CN CN202310300765.6A patent/CN116346939B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102790999A (en) * | 2011-05-19 | 2012-11-21 | 中兴通讯股份有限公司 | Data compression, transmission, receiving and uncompressing method and corresponding device |
| CN103634273A (en) * | 2012-08-21 | 2014-03-12 | 电信科学技术研究院 | Data compression transmitting and decompression method and apparatus |
| CN108965333A (en) * | 2018-08-30 | 2018-12-07 | 北京锐安科技有限公司 | A kind of data compression, decompression method, system and electronic equipment |
| CN113484834A (en) * | 2021-05-17 | 2021-10-08 | 西安电子科技大学 | Target detection method based on signal compression of millimeter wave radar |
Non-Patent Citations (2)
| Title |
|---|
| 基于压缩转发的协作MIMO雷达成像算法;宗竹林;王健;胡剑浩;朱立东;;信号处理(第04期);见全文 * |
| 宗竹林 ; 王健 ; 胡剑浩 ; 朱立东 ; .基于压缩转发的协作MIMO雷达成像算法.信号处理.2011,(第04期),见全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116346939A (en) | 2023-06-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108965333B (en) | Data compression method, data decompression method, data compression system, data decompression system and electronic equipment | |
| US8824603B1 (en) | Bi-directional ring-bus architecture for CORDIC-based matrix inversion | |
| CN102608579B (en) | SAR (synthetic aperture radar) data receiving and processing system and method | |
| US9831894B2 (en) | Data compression apparatus | |
| CN116346939B (en) | Data compression method and device, electronic equipment and storage medium | |
| CN106470054A (en) | A kind of data processing method and relevant apparatus and system | |
| CN102546497B (en) | Method and device for compressing sampled data | |
| CN104378125B (en) | A kind of air-ground broadband connections method for unmanned plane | |
| WO2017114053A1 (en) | Method and apparatus for signal processing | |
| CN115314121B (en) | Quantum communication method and device and electronic equipment | |
| CN107045121A (en) | A kind of near field ultra-broadband signal phase difference ranging method and system | |
| CN107528683A (en) | The method to set up of carrier parameter, device and mobile terminal in carrier aggregation | |
| CN113438001B (en) | Channel state information feedback method, receiving method, terminal and network side equipment | |
| CN204145474U (en) | A kind of Digital Intermediate Frequency Receiving System | |
| CN109379376B (en) | Radio monitoring equipment and system based on data compression and data compression method | |
| CN106209128B (en) | A kind of low speed sequence frequency mixing method for compressed sensing receiver | |
| CN115136667A (en) | Power saving techniques for BB-RF interfaces | |
| CN111181609A (en) | Codebook information feedback method, terminal and network equipment | |
| WO2024020904A1 (en) | Method for sending phase shift configuration of intelligent reflecting surface (irs), method for receiving phase shift configuration of irs, and apparatus | |
| KR101831198B1 (en) | Reduced complexity TWO-STEP TDOA/FDOA estimation method for communication signals | |
| CN116470927B (en) | Data processing method, device, equipment and storage medium | |
| CN111263400A (en) | CSI report discarding method and terminal | |
| CN117200801A (en) | Data decompression method, device, equipment and storage medium | |
| WO2024168923A1 (en) | Information processing method and apparatus | |
| WO2023179586A1 (en) | Method for detecting wake-up signal, and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |