CN116520300B - Method and device for configuring resolving equipment, electronic equipment and readable storage medium - Google Patents

Method and device for configuring resolving equipment, electronic equipment and readable storage medium Download PDF

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CN116520300B
CN116520300B CN202310805050.6A CN202310805050A CN116520300B CN 116520300 B CN116520300 B CN 116520300B CN 202310805050 A CN202310805050 A CN 202310805050A CN 116520300 B CN116520300 B CN 116520300B
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CN116520300A (en
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张祺
丁飞
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Tianjin Zhihai Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
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    • G01S7/53—Means for transforming coordinates or for evaluating data, e.g. using computers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88—Sonar systems specially adapted for specific applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88—Sonar systems specially adapted for specific applications
    • G01S15/89—Sonar systems specially adapted for specific applications for mapping or imaging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/80—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using ultrasonic, sonic or infrasonic waves
    • G01S3/802—Systems for determining direction or deviation from predetermined direction
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/534—Details of non-pulse systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/005—General purpose rendering architectures
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The embodiment of the application discloses a method and a device for configuring resolving equipment, electronic equipment and a readable storage medium, wherein the method comprises the following steps: acquiring the number of line arrays of an acoustic transducer array, the number of target directions, the upper limit value of single calculation time length and single result calculation time length; the correlation operator is used for receiving an amplitude vector corresponding to the direction angle of arrival of the snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal; determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle according to the snapshot observation signal Jie Suanchu; according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device.

Description

Method and device for configuring resolving equipment, electronic equipment and readable storage medium
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method and an apparatus for configuring a resolving device, an electronic device, and a readable storage medium.
Background
At present, in professional ocean exploration, mainly rely on sonar detection technology, through to the submarine emission wave beam, the water object and the submarine within a certain range can be covered to the emission wave beam, and the reflection and scattering of the emission signal through water object or submarine forms back scattering energy, is received and is handled by the acoustic transducer array and forms the snapshot observation signal, through carrying out a series of processing to the snapshot observation signal, generates the amplitude vector that the direction of arrival angle corresponds.
At present, how to realize quick solution of the amplitude vector corresponding to the direction of arrival angle in a limited time is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for configuring resolving equipment and a readable storage medium, which can solve the problem that the quick resolving of an amplitude vector corresponding to a direction of arrival angle is difficult to realize in a limited time at present.
In a first aspect, an embodiment of the present application provides a method for configuring a resolving device, including:
acquiring the number of line arrays of an acoustic transducer array, the number of target directions, the upper limit value of single calculation time length and single result calculation time length; the single calculation time length upper limit value is used for indicating the time length upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction angle of arrival of a snapshot observation signal Jie Suanchu received by the sound transducer array, and the target direction corresponds to the snapshot observation signal;
determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle according to the snapshot observation signal Jie Suanchu;
according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device.
In a second aspect, an embodiment of the present application provides a configuration apparatus for a resolving device, including:
the acquisition module is used for acquiring the number of line arrays of the acoustic transducer array, the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length; the single calculation duration upper limit value is used for indicating a duration upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction-of-arrival angle of a snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal;
the determining module is used for determining the device number of the sparse direction-of-arrival solving device according to the number of the target directions, the single calculation time length upper limit value and the single result calculation time length, and the sparse direction-of-arrival solving device is used for obtaining an amplitude vector corresponding to a direction angle according to the snapshot observation signal Jie Suanchu;
the configuration module is used for configuring a resolving device with preset computing force according to the number of the line arrays and the number of the devices, and the resolving device comprises at least one sparse direction-of-arrival resolving device.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the method as in the first aspect or any of the possible implementations of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method as in the first aspect or any of the possible implementations of the first aspect.
In the embodiment of the application, the number of line arrays of the acoustic transducer array, the number of target directions, the single calculation time length upper limit value for indicating the time length upper limit value of the correlation operator obtained by single calculation and the single result calculation time length are obtained; the correlation operator is used for receiving an amplitude vector corresponding to the direction angle of arrival of the snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal; determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle according to the snapshot observation signal Jie Suanchu; therefore, the device number of the sparse direction-of-arrival calculating devices which can meet the calculation force requirement of the amplitude vector corresponding to the direction-of-arrival angle of the snapshot observation signal Jie Suanchu can be rapidly and accurately determined; according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device. Therefore, the resolving equipment capable of meeting the calculation force requirement of the amplitude vector corresponding to the direction of arrival angle of the snapshot observation signal Jie Suanchu can be configured, the rapid solving of the amplitude vector corresponding to the direction of arrival angle can be realized in a limited time, and the consumption of software and hardware resources for imaging can be reduced and the calculation efficiency of imaging can be improved because the amplitude vector corresponding to the direction of arrival angle is used for generating a three-dimensional interference image.
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In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.
Fig. 1 is a flowchart of a method for configuring a resolving device according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a sparse direction-of-arrival solver according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a configuration device of a resolving device according to an embodiment of the present application;
fig. 4 is a schematic hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and the detailed embodiments. It should be understood that the specific embodiments described herein are merely configured to illustrate the application and are not configured to limit the application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the application by showing examples of the application.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The configuration method of the resolving equipment provided by the embodiment of the application can be at least applied to the following application scenes, and is explained below.
At present, in professional ocean exploration, mainly rely on sonar detection technology, through to the submarine transmission wave beam, the water target thing and the submarine within a certain range can be covered to the transmission wave beam, and the transmission signal forms back scattering energy through water target thing or submarine reflection, scattering, forms echo signal after receiving and processing by the acoustic transducer array, carries out a series of processing to echo signal, finally generates the three-dimensional interference image that is used for instructing the submarine condition.
Under the condition that the sonar radiates a transmitting signal to the water bottom, receiving snapshot observation signals corresponding to the Q snapshots respectively through the acoustic transducer array; according to the snapshot observation signals, respectively calculating the corresponding direction-of-arrival angle vector of each snapshot; according to the direction-of-arrival angle vector corresponding to each snapshot, M target position coordinate points corresponding to each snapshot are respectively determined; and the three-dimensional interference image is generated according to the G, Q and M target position coordinate points.
In the step of respectively resolving the direction-of-arrival angle vector corresponding to each snapshot according to the snapshot observation signals, sparse recovery processing is required to be performed on the snapshot observation signals so as to determine the amplitude vector corresponding to the direction-of-arrival angle, and in the process, quick resolving of the amplitude vector corresponding to the direction-of-arrival angle is required to be realized in a limited snapshot time.
Based on the above application scenario, the method for configuring the resolving device provided by the embodiment of the present application is described in detail below.
Fig. 1 is a flowchart of a method for configuring a resolving device according to an embodiment of the present application.
As shown in fig. 1, the method for configuring a resolving device may include steps 110 to 130, and the method is applied to a resolving device configuring apparatus, specifically as follows:
step 110, acquiring the number of line arrays of an acoustic transducer array, the number of target directions, an upper limit value of a single calculation time length and a single result calculation time length; the single calculation time length upper limit value is used for indicating the time length upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction angle of arrival of a snapshot observation signal Jie Suanchu received by the sound transducer array, and the target direction corresponds to the snapshot observation signal;
step 120, determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle of the snapshot observation signal Jie Suanchu;
step 130, according to the number of line arrays and the number of devices, configuring a resolving device with preset computing force, wherein the resolving device comprises at least one sparse direction-of-arrival resolving device.
In the configuration method of the resolving equipment, the number of line arrays of the acoustic transducer array, the number of target directions, a single calculation duration upper limit value for indicating a duration upper limit value of a correlation operator obtained by single calculation and a single result calculation duration are obtained; the correlation operator is used for receiving an amplitude vector corresponding to the direction angle of arrival of the snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal; determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle according to the snapshot observation signal Jie Suanchu; therefore, the device number of the sparse direction-of-arrival calculating devices which can meet the calculation force requirement of the amplitude vector corresponding to the direction-of-arrival angle of the snapshot observation signal Jie Suanchu can be rapidly and accurately determined; according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device. Therefore, the resolving equipment capable of meeting the calculation force requirement of the amplitude vector corresponding to the direction of arrival angle of the snapshot observation signal Jie Suanchu can be configured, the rapid solving of the amplitude vector corresponding to the direction of arrival angle can be realized in a limited time, and the consumption of software and hardware resources for imaging can be reduced and the calculation efficiency of imaging can be improved because the amplitude vector corresponding to the direction of arrival angle is used for generating a three-dimensional interference image.
The contents of steps 110 to 130 are described below:
involving step 110.
Acquiring the number of line arrays of an acoustic transducer array, the number of target directions, the upper limit value of single calculation time length and single result calculation time length; the single calculation duration upper limit value is used for indicating a duration upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction-of-arrival angle of a snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal.
The single-side sound transducer array layout can select N (N is more than or equal to 2, and N is a positive integer) line array layout, and the number of the line arrays of the sound transducer array is N.
Wherein the number of target directions is used to divide the wide beam opening angle into a plurality of directions,，/>for wide beam opening angle, Δθ is the direction of arrival angular resolution, +.>The number of target directions divided by the angle resolution delta theta of the direction of arrival within the wide beam opening angle.
The correlation operator is used for indicating correlations between the signals in the target directions and snapshot observation signals, and the target directions are used for separating echo signals in the target directions from mixed echo signals.
Known mathematical models =A/>，/> ∈/>；A∈/>；/> ∈/>The method comprises the steps of carrying out a first treatment on the surface of the Snapshot observation signal corresponding to the known qth snapshot +.>Solving the amplitude vector +.>. Determining an amplitude vector->Then, the direction of arrival angle corresponding to the magnitude vector may be further determined.
The echo transient sparse recovery imaging method is given: receiving array flow patternAThe method comprises the steps of carrying out a first treatment on the surface of the Sparseness degreeA k value; and setting initialization:；
introduction of{zOperator and->{zAn echo transient sparse recovery imaging method is shown in a formula (1):
in a possible embodiment, before step 110, the following steps may be further included:
obtaining distance resolution, sparsity and snapshot time length;
and determining an upper limit value of the single calculation time length according to the distance resolution, the sparseness and the snapshot time length.
Wherein, the distance resolution is delta L, and the sparsity is k;
interference imaging sonar is according to distance resolution DeltaL=c(c is the sound velocity in water) will->The method is divided into Q snapshots, wherein Q is a positive integer.
At the time of snapshotThe inner completion of k iterative calculations in (1), each iterative calculation requiring a time of +.>/k。
Illustratively: when the distance resolution deltal=3cm, c=1500 m/s,=20us, k=5, then the time required for each iterative calculation is +.>/k=4000 ns, i.e. it is necessary to complete +.>And (3) calculating, and simultaneously, meeting the storage space requirement required by calculation.
Wherein, the liquid crystal display device comprises a liquid crystal display device,and/k is the upper limit value of the single calculation time length.
Involving step 120.
And determining the number of devices of the sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle of the snapshot observation signal Jie Suanchu.
For the purpose ofLow memory space consumption in time/k>And calculating, namely determining the number of devices of the sparse direction-of-arrival solver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length.
Wherein the correlation operatorThe method of calculation is as follows:
the definition is shown in formula (2).
The essence of the calculation is to compare the magnitude of each complex polynomial modulus value in equation (3) and select the complex polynomial modulus value from them.
Wherein N is the number of line arrays of the acoustic transducer array;
the number of target directions divided according to the resolution delta theta of the angle of arrival direction in the wide beam opening angle;
the direction of arrival angle corresponding to the target direction; j is a constant parameter;
∈/>；A∈/>the method comprises the steps of carrying out a first treatment on the surface of the Neglecting complex modulus square comparison process, calculating modulus value evolution calculation process, calculatingThe total requires N x M complex multiplication operations, and a single complex multiplication direct calculation requires 4 real multiplications and 2 real additions.
Namely:;/>，/>；
=(/>)+(/>+/>)j
wherein, the liquid crystal display device comprises a liquid crystal display device,、/>is a priori known value; the echo signal receiving and processing module receives the echo signal according to the preset snapshot timeSampling and analog-digital converting the echo baseband signal to finally form a snapshot observation signalYI.e. +.>、/>。
The mature method can be used for converting 4 times of real multiplication and 2 times of real addition into 3 times of real multiplication and 5 times of real addition. Order a=；B=(/>)/>；C=(/>)/>The method comprises the steps of carrying out a first treatment on the surface of the Then=(A-B)+(B-C)j。
The embodiment of the application is illustrated by taking 4 times of real number multiplication and 2 times of real number as examples, and the calculation efficiency is improved after the obtained conclusion is optimized by 3 times of real number multiplication and 5 times of real number addition.
To be used forFor illustration, see formula (4), otherwise the same.
Wherein, the number of multiplications is related to:
according to the formula (4), one iteration solution is completed, and addition is ignored, so that the completion of the method is completedThe calculation requires 2 x (2N+1) x M times of real multiplication calculation to complete +.>Does not need real multiplication calculation to complete->Requires 2 x (2N+1) real multiplication calculations to complete +.>No real multiplication computation is required.
Because N is less than M, wherein N is the number of line arrays, M is the number of target directions, and N and M are positive integers, it can be seen thatThe calculation is to realize->The calculated body portion is used to calculate the body position,the real multiplication times are 2 multiplied by (2N+1) multiplied by M times, and according to the number N of the underwater towed single-side line arrays, namely the number of the line arrays of the acoustic transducer array; and the number M of target directions.
In one possible embodiment, step 120 includes:
determining an upper limit value of the calculation times according to the upper limit value of the single calculation time and the single result calculation time;
and determining the number of devices according to the upper limit value of the calculation times and the number of target directions, wherein the number of target directions corresponds to the number of calculation results included in the correlation operator.
Illustratively, according to the distance resolution Δl=3cm, c=1500 m/s,=20us, k=5, determining each calculation iteration time 4000ns; i.e. the upper limit value of the single calculation time is 4000ns.
Completion ofThe calculation needs 2 x (2N+1) x M times of real multiplication calculation, the 2 x (2N+1) real multiplication calculation is completed through a sparse direction-of-arrival calculating device framework, the time required for the parallel calculation of the 2 x (2N+1) times of real multiplication of the sparse direction-of-arrival calculating device framework is single result calculation time length, the configuration is carried out according to the speed of a multiplier and the sparse direction-of-arrival calculating device framework in the prior art, and the single result calculation time length can be as short as 20ns.
Because the M number is larger, if the m=10000, the M number real multiplication serial calculation needs 20ns×m=200000 ns > 4000ns, and it is obvious that all the calculations cannot be completed within 4000ns as the upper limit of the single calculation time.
Therefore, M real multiplication computations need to be performed in parallel in V groups, which can be accomplished by dividing into 200000ns/4000 ns=50 groups, as an example.
To sum up, finishThe calculation requires 2× (2n+1) ×m real multiplication calculations, which are dividedIs [2× (2N+1) ×V]And X (M/V) is completed, wherein the former part realizes parallel calculation by using 50 groups of sparse direction-of-arrival solver architectures, the calculation duration of a single result is 20ns, and the latter part is an upper limit value of the calculation times determined according to the M/V value, namely 10000/50=200 times in the example.
Therefore, the device number of the sparse direction of arrival solver can be rapidly and accurately determined according to the number M of the target directions, the upper limit value of the single calculation time length and the single result calculation time length.
Involving step 130.
According to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device.
The upper limit value of the calculation times generated by parallel calculation is 200 times, the upper limit value of the single calculation time length is 4000ns, for example, a certain type of equipment is provided with 1920 multiplier resources, and the total amount of the distributed random access memory (Random Access Memory, RAM) is 34280Kbit.
Taking n=8, m=10000 as an example, the number of multipliers of the DSP48 required for calculating the mth result by the sparse direction of arrival solver architecture is 4n+2, i.e. 34. Dividing 1920 DSP48 resources into 50 groups of sparse DOA solver architectures, assuming one completionCalculation time is 20ns,4000ns can complete m=10000 +.>And (5) calculating.
In one possible embodiment, a programmable logic device with parallel multiplication computing capability is selected, where the programmable logic device with parallel multiplication computing capability includes, but is not limited to: a field programmable gate array (Field Programmable Gate Array, FPGA), and complex programmable logic devices (Complex Programmable logic device, CPLD), etc.
If the bit width of the multiplier is larger and the required clock frequency is higher, the calculation is preferably performed by using the DSP48, and a device with more DSP48 resources in the FPGA is selected to implement the calculation.
In one possible embodiment, the sparse direction of arrival solver includes a real multiplier, and the step 130 includes configuring a solver with a preset computational power according to the number of line arrays and the number of devices:
determining the number of real multipliers according to the number of line arrays and the number of target directions;
according to the number of the real multipliers and the number of the devices, a resolving device with preset computing power is configured.
First, the number of real multipliers is determined according to the number of line arrays and the number of target directions, taking the number of line arrays n=8 and the number of target directions m=10000 as an example, as can be seen from the foregoing description, the number of DSP48 multipliers required by the sparse direction-of-arrival solver architecture to calculate the mth RESULT (RESULT) is 4n+2, i.e. 34.
The sparse direction of arrival solver consists of at least a real multiplier, an adder (subtractor) and a distributed RAM. A calculation device is provided for determining the product of the number of real multipliers and the number of devices, and a preset calculation force is greater than or equal to the product of the number of real multipliers and the number of devices.
Illustratively, based on the 50-set device number and the 34 multiplier architecture, it is determined that 1700 units of computing resources are required, the DSP48 policies resources include 1920 units of computing resources, and the computing resources 1920 are greater than 1700, thus, the resolution requirements may be satisfied.
In one possible embodiment, the sparse direction of arrival solver includes a solver memory, and may further include the steps of:
dividing storage resources of a solver memory according to the number of the line arrays and the number of the target directions to obtain a plurality of sub-storage units;
and storing preset parameter values which are obtained in advance in each sub-storage unit, wherein the preset parameter values comprise a plurality of real parameter values and a plurality of imaginary parameter values, and the preset parameter values are used for calculating a relevance operator.
Wherein, in general, the method comprises the steps of storing in advance，…，/>And->，…，/>The total 2×m×n sets of values. Here, the number of real multiplications required and the memory space are large when the N, M value is large.
Dividing a distributed RAM in an FPGA into N groups according to N values and M values, dividing the N groups according to line array number indexes, dividing each group into blocks according to target direction-of-arrival angle number indexes M, and storing the target direction-of-arrival angle number indexes M in each block in advance（Numerical value and->Numerical value); wherein (1)>
To realize quick shooting of observation signalsYFast acquisition and calculation, and echo signal receiving and processing module outputs snapshot observation signals in parallelYThe line array number index n is used for fast shooting the observation signalYDivided into N groups, each group consisting ofNumerical value and->Numerical composition, observing signals by snapshotYBit width->By>The X N I/O interface lines are led into the FPGA in parallel.
In a possible embodiment, each preset parameter value includes a first index value for indicating a line array number of the acoustic transducer array and a second index value for indicating a number of the target direction, and after the above-mentioned step 130, the method may further include the steps of:
traversing the first index value and the second index value in a memory of the resolving device according to the snapshot observation signal, and determining a target real number parameter value and a target imaginary number parameter value from preset parameter values;
and determining a target correlation operator according to the target real number parameter value and the target imaginary number parameter value.
Given snapshot observation signalsYTraversing given according to the number index m of the target direction of arrival angleNumerical value and->The numerical value is calculated for M times according to the sparse direction of arrival solver architecture to obtain M real number results, namely: />=。
Wherein the preset parameter value comprisesNumerical value and->A numerical value; the first index value is used to indicate n in the preset parameter values and the second index value is used to indicate m in the preset parameter values.
Searching forMaximum value, and performing one-time evolution calculation on the maximum value>RecordingAnd the corresponding target direction of arrival angle index m, namely finishing +.>And (5) calculating. Thus, the target correlation operator can be determined from the target real parameter value and the target imaginary parameter value.
In one possible embodiment, the number of preset parameter values is determined according to the number of line arrays and the number of target directions;
and verifying the preset calculation force according to the number of the preset parameter values.
At the same time, store in advance，…，/>And->，…，/>The total 2×m×n sets of values.
Taking M as 10000 and N as 8 as an example, it is necessary to store 2×10000×8 sets of values (160 k), assuming thatNumerical value and->The value bit width is 18 bits, and the total quantity of the required distributed RAM is 2880 kbits, which is far smaller than the total quantity requirement of XC7K480T distributed RAM. Therefore, the preset calculation force can be checked according to the number of the preset parameter values, and the calculation force of the calculation equipment can be ensured to meet the requirement of calculation according to the snapshot observation signalsAnd calculating the force requirement of the amplitude vector corresponding to the direction of arrival angle.
In summary, in the embodiment of the present application, the number of line arrays of the acoustic transducer array, the number of target directions, the single calculation duration upper limit value for indicating the duration upper limit value of the correlation operator obtained by single calculation, and the single result calculation duration are obtained; the correlation operator is used for receiving an amplitude vector corresponding to the direction angle of arrival of the snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal; determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle according to the snapshot observation signal Jie Suanchu; therefore, the device number of the sparse direction-of-arrival calculating devices which can meet the calculation force requirement of the amplitude vector corresponding to the direction-of-arrival angle of the snapshot observation signal Jie Suanchu can be rapidly and accurately determined; according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device. Therefore, the resolving equipment capable of meeting the calculation force requirement of the amplitude vector corresponding to the direction of arrival angle of the snapshot observation signal Jie Suanchu can be configured, the rapid solving of the amplitude vector corresponding to the direction of arrival angle can be realized in a limited time, and the consumption of software and hardware resources for imaging can be reduced and the calculation efficiency of imaging can be improved because the amplitude vector corresponding to the direction of arrival angle is used for generating a three-dimensional interference image.
Based on the above-mentioned method for configuring a resolving device shown in fig. 1, an embodiment of the present application further provides a resolving device configuration apparatus, as shown in fig. 3, the apparatus 300 may include:
an obtaining module 310, configured to obtain the number of line arrays of the acoustic transducer array, the number of target directions, an upper limit value of a single calculation duration, and a single result calculation duration; the single calculation duration upper limit value is used for indicating a duration upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction-of-arrival angle of a snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal;
a determining module 320, configured to determine, according to the number of the target directions, the single calculation duration upper limit value, and the single result calculation duration, a device number of a sparse direction-of-arrival solver, where the sparse direction-of-arrival solver is configured to obtain an amplitude vector corresponding to a direction-of-arrival angle of the snapshot observation signal Jie Suanchu;
a configuration module 330, configured to configure a resolving device with a preset computing force according to the number of line arrays and the number of devices, where the resolving device includes at least one sparse direction-of-arrival resolving device.
In one possible implementation, the determining module 320 is specifically configured to:
determining an upper limit value of the calculation times according to the upper limit value of the single calculation time and the single result calculation time;
and determining the number of devices according to the calculation times upper limit value and the number of target directions, wherein the number of target directions corresponds to the number of calculation results included in the relativity operator.
In one possible implementation, the configuration module 330 is specifically configured to:
determining the number of the real multipliers according to the number of the line arrays and the number of the target directions;
and according to the number of the real multipliers and the number of the devices, configuring a resolving device with the preset computing power.
In one possible implementation, the sparse direction of arrival solver includes a solver memory, and the apparatus 300 may include:
the storage module is used for dividing storage resources of the solver memory according to the number of the line arrays and the number of the target directions to obtain a plurality of sub storage units;
and storing preset parameter values obtained in advance in each sub-storage unit, wherein the preset parameter values comprise a plurality of real parameter values and a plurality of imaginary parameter values, and the preset parameter values are used for calculating the relevance operator.
In one possible implementation, each of the preset parameter values includes a first index value for indicating a line array number of the acoustic transducer array and a second index value for indicating a number of the target direction, and the apparatus 300 may include: a traversing module for:
traversing the first index value and the second index value in the solver memory according to the snapshot observation signal, and determining a target real parameter value and a target imaginary parameter value from the preset parameter values;
and determining a target correlation operator according to the target real number parameter value and the target imaginary number parameter value.
In one possible implementation, the apparatus 300 may include: a verification module for:
determining the number of the preset parameter values according to the number of the line arrays and the number of the target directions;
and verifying the preset calculation force according to the number of the preset parameter values.
In one possible implementation, the apparatus 300 may include:
the first acquisition module is used for acquiring the distance resolution, the sparsity and the snapshot time length;
and the first determining module is used for determining the upper limit value of the single calculation time length according to the distance resolution, the sparseness and the snapshot time length.
In summary, in the embodiment of the present application, the number of line arrays of the acoustic transducer array, the number of target directions, the single calculation duration upper limit value for indicating the duration upper limit value of the correlation operator obtained by single calculation, and the single result calculation duration are obtained; the correlation operator is used for receiving an amplitude vector corresponding to the direction angle of arrival of the snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal; determining the number of devices of a sparse direction-of-arrival resolver according to the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length, wherein the sparse direction-of-arrival resolver is used for obtaining an amplitude vector corresponding to the direction-of-arrival angle according to the snapshot observation signal Jie Suanchu; therefore, the device number of the sparse direction-of-arrival calculating devices which can meet the calculation force requirement of the amplitude vector corresponding to the direction-of-arrival angle of the snapshot observation signal Jie Suanchu can be rapidly and accurately determined; according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device. Therefore, the resolving equipment capable of meeting the calculation force requirement of the amplitude vector corresponding to the direction of arrival angle of the snapshot observation signal Jie Suanchu can be configured, the rapid solving of the amplitude vector corresponding to the direction of arrival angle can be realized in a limited time, and the consumption of software and hardware resources for imaging can be reduced and the calculation efficiency of imaging can be improved because the amplitude vector corresponding to the direction of arrival angle is used for generating a three-dimensional interference image.
Fig. 4 shows a schematic hardware structure of an electronic device according to an embodiment of the present application.
A processor 401 may be included in an electronic device as well as a memory 402 in which computer program instructions are stored.
In particular, the processor 401 described above may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits implementing embodiments of the present application.
Memory 402 may include mass storage for data or instructions. By way of example, and not limitation, memory 402 may comprise a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the foregoing. Memory 402 may include removable or non-removable (or fixed) media, where appropriate. Memory 402 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 402 is a non-volatile solid state memory. In a particular embodiment, the memory 402 includes Read Only Memory (ROM). The ROM may be mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these, where appropriate.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any one of the resolving device configuration methods in the embodiment shown in the figure.
In one example, the electronic device may also include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected by a bus 410 and perform communication with each other.
The communication interface 403 is mainly used to implement communication between each module, device, unit and/or apparatus in the embodiment of the present application.
Bus 410 includes hardware, software, or both, coupling components of the electronic device to one another. By way of example, and not limitation, the buses may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 410 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.
The electronic device may execute the method for configuring a resolving device in the embodiment of the present application, thereby implementing the method for configuring a resolving device described in connection with fig. 1 to 2.
In addition, in combination with the method for configuring a resolving device in the above embodiment, the embodiment of the present application may be implemented by providing a computer readable storage medium. The computer readable storage medium has stored thereon computer program instructions; the computer program instructions, when executed by the processor, implement the method of computing device configuration of fig. 1-2.
It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.

Claims (10)

1. A method of resolving a device configuration, the method comprising:
acquiring the number of line arrays of an acoustic transducer array, the number of target directions, the upper limit value of single calculation time length and single result calculation time length; the single calculation duration upper limit value is used for indicating a duration upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction-of-arrival angle of a snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal;
determining the number of devices of a sparse direction-of-arrival solver according to the number of target directions, the single calculation time upper limit value and the single result calculation time, wherein the sparse direction-of-arrival solver is used for obtaining an amplitude vector corresponding to a direction-of-arrival angle of the snapshot observation signal Jie Suanchu;
according to the number of the line arrays and the number of the devices, a resolving device with preset computing force is configured, and the resolving device comprises at least one sparse direction-of-arrival resolving device.
2. The method of claim 1, wherein the determining the number of sparse direction of arrival solvers based on the number of target directions, the single calculation time period upper limit, and the single result calculation time period comprises:
determining an upper limit value of the calculation times according to the upper limit value of the single calculation time and the single result calculation time;
and determining the number of devices according to the calculation times upper limit value and the number of target directions, wherein the number of target directions corresponds to the number of calculation results included in the relativity operator.
3. The method of claim 1, wherein the sparse direction of arrival solver comprises a real multiplier, and wherein configuring the solver with a preset computational force based on the number of line arrays and the number of devices comprises:
determining the number of the real multipliers according to the number of the line arrays and the number of the target directions;
and according to the number of the real multipliers and the number of the devices, configuring a resolving device with the preset computing power.
4. The method of claim 1, wherein the sparse direction of arrival solver comprises a solver memory, the method further comprising:
dividing storage resources of the solver memory according to the number of the line arrays and the number of the target directions to obtain a plurality of sub-storage units;
and storing preset parameter values obtained in advance in each sub-storage unit, wherein the preset parameter values comprise a plurality of real parameter values and a plurality of imaginary parameter values, and the preset parameter values are used for calculating the relevance operator.
5. The method of claim 4, wherein each of the preset parameter values includes a first index value for indicating a line array number of the acoustic transducer array and a second index value for indicating a number of the target direction, and after configuring a resolving apparatus having a preset computing force according to the line array number and the device number, the method further comprises:
traversing the first index value and the second index value in the solver memory according to the snapshot observation signal, and determining a target real parameter value and a target imaginary parameter value from the preset parameter values;
and determining a target correlation operator according to the target real number parameter value and the target imaginary number parameter value.
6. The method according to claim 4, wherein the method further comprises:
determining the number of the preset parameter values according to the number of the line arrays and the number of the target directions;
and verifying the preset calculation force according to the number of the preset parameter values.
7. The method of claim 1, wherein prior to the acquiring the number of line arrays of the acoustic transducer array, the number of target directions, the single calculation time period upper limit value, and the single result calculation time period, the method further comprises:
obtaining distance resolution, sparsity and snapshot time length;
and determining the upper limit value of the single calculation time length according to the distance resolution, the sparseness and the snapshot time length.
8. A computing device configuration apparatus, the apparatus comprising:
the acquisition module is used for acquiring the number of line arrays of the acoustic transducer array, the number of target directions, the upper limit value of the single calculation time length and the single result calculation time length; the single calculation duration upper limit value is used for indicating a duration upper limit value of a correlation operator obtained through single calculation, the correlation operator is used for obtaining an amplitude vector corresponding to a direction-of-arrival angle of a snapshot observation signal Jie Suanchu received by the acoustic transducer array, and the target direction corresponds to the snapshot observation signal;
the determining module is used for determining the device number of the sparse direction-of-arrival solving device according to the number of the target directions, the single calculation time length upper limit value and the single result calculation time length, and the sparse direction-of-arrival solving device is used for obtaining an amplitude vector corresponding to a direction angle according to the snapshot observation signal Jie Suanchu;
the configuration module is used for configuring a resolving device with preset computing force according to the number of the line arrays and the number of the devices, and the resolving device comprises at least one sparse direction-of-arrival resolving device.
9. An electronic device, the device comprising: a processor and a memory storing computer program instructions; the computing device configuration method of any one of claims 1-7 when executed by the processor.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon computer program instructions, which when executed by a processor, implement the method of configuring a resolving device according to any of claims 1-7.
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