CN115877340B - Data processing method and device for parameter estimation - Google Patents
Data processing method and device for parameter estimation Download PDFInfo
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Abstract
The invention discloses a data processing method and a device for parameter estimation, wherein the method comprises the following steps: acquiring target echo data; preprocessing target echo data to obtain echo parameter information; the echo parameter information includes at least 4 echo parameters; performing dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data. Therefore, the method and the device are beneficial to avoiding the problems that the parameter estimation precision is low, other parameters except the amplitude cannot be updated, local minimum solutions are easy to fall into, the calculation complexity is high and the like, so that the estimation precision of the parameter estimation is improved, and the calculation complexity is reduced.
Description
Technical Field
The invention relates to the technical field of data, in particular to a data processing method and device for parameter estimation.
Background
The existing parameter estimation of a local scattering source corresponding to a target echo of a radar generally adopts an image domain extraction method, a frequency domain extraction method and an orthogonal matching pursuit method, but the image domain extraction method is based on image segmentation, and has the problems of sensitivity to noise and segmentation mismatch; the frequency domain extraction method can avoid the problem of image segmentation mismatch, but has the problem of high calculation complexity; the orthogonal matching pursuit method has the problem that other parameters except the amplitude cannot be updated after the scattering center is extracted, and is easy to fall into a local minimum solution. Therefore, it is important to provide a data processing method and apparatus for parameter estimation, so as to avoid the problems that the parameter estimation accuracy is low, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, and the calculation complexity is high, so that the estimation accuracy of the parameter estimation is improved and the calculation complexity is reduced.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data processing method and a data processing device for parameter estimation, which can obtain target estimation parameter information for indicating classification and identification of a target corresponding to target echo data by carrying out preprocessing, dictionary construction and estimation processing on the target echo data, thereby being beneficial to avoiding the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like, and further improving the estimation precision of the parameter estimation and reducing the calculation complexity.
To solve the above technical problem, a first aspect of an embodiment of the present invention discloses a data processing method for parameter estimation, where the method includes:
acquiring target echo data;
preprocessing the target echo data to obtain echo parameter information; the echo parameter information comprises at least 4 echo parameters;
performing dictionary construction and estimation processing on the echo parameter information to obtain a target estimation parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data.
In a first aspect of the embodiment of the present invention, the preprocessing the target echo data to obtain echo parameter information includes:
calculating the target echo data to obtain target echo electric field information;
carrying out statistical analysis on the target echo electric field information to obtain target echo characteristic information; the target echo feature information includes at least 2 target echo features;
and calculating the target echo characteristic information to obtain echo parameter information.
In a first aspect of the embodiment of the present invention, the calculating the target echo data to obtain target echo electric field information includes:
calculating the target echo data by using a preset current model to obtain echo current information; the current model is used for calculating the surface current of the target corresponding to the target echo data;
and calculating the echo current information by using a preset electric field model to obtain target echo electric field information.
In a first aspect of the embodiment of the present invention, the performing dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set includes:
Performing dictionary construction and estimation processing on the echo parameter information for multiple times to obtain first target estimation parameter information; the first target estimation parameter information comprises at least 4 first target estimation parameters;
performing dictionary construction and estimation processing on the first target estimation parameter information to obtain second target estimation parameter information; the second target estimation parameter information includes at least 2 second target estimation parameters.
In a first aspect of the embodiment of the present invention, performing dictionary construction and estimation processing on the echo parameter information for multiple times to obtain the first target estimated parameter information includes:
performing first round dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimation parameter information;
performing second-round dictionary construction and estimation processing on the first intermediate estimation parameter information to obtain first target estimation parameter information; the accuracy of the first target estimated parameters corresponding to the first target estimated parameter information is better than that of the first intermediate estimated parameters corresponding to the first intermediate estimated parameter information; the computational complexity of the second round dictionary construction and estimation is less than the computational complexity of the first round dictionary construction and estimation.
In a first aspect of the embodiment of the present invention, the performing a first round of dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimated parameter information includes:
performing parameter gridding processing on the echo parameter information to obtain first position dictionary information;
performing preliminary estimation processing on the first position dictionary information to obtain first intermediate position information;
performing parameter gridding processing on the first intermediate position information to obtain second position dictionary information;
and performing preliminary estimation processing on the second position dictionary information to obtain first intermediate estimation parameter information.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the echo parameter includes echo resolution, and/or echo resolution unit length, and/or first coordinate information, and/or second coordinate information;
the performing parameter gridding processing on the echo parameter information to obtain first position dictionary information includes:
determining initial position dictionary information according to the first coordinate information and the second coordinate information in the echo parameter information;
Discretizing the initial position dictionary information by utilizing the echo resolution and the echo resolution unit length in the echo parameter information to obtain first position dictionary information to be used to obtain atomic parameter information;
vectorizing the atom parameter information to obtain first atom vector information;
normalizing the first atom vector information to obtain second atom vector information;
and converting the second atomic vector information by using a preset first dictionary model to obtain first position dictionary information.
A second aspect of an embodiment of the present invention discloses a data processing apparatus for parameter estimation, the apparatus comprising:
the acquisition module is used for acquiring target echo data;
the first processing module is used for preprocessing the target echo data to obtain echo parameter information; the echo parameter information comprises at least 4 echo parameters;
the second processing module is used for carrying out dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data.
As one such alternative implementation manner, in the second aspect of the embodiment of the present invention, the first processing module includes a first processing sub-module, a statistical analysis sub-module, and a second processing sub-module, where:
the first processing sub-module is used for calculating and processing the target echo data to obtain target echo electric field information;
the statistical analysis sub-module is used for carrying out statistical analysis on the target echo electric field information to obtain target echo characteristic information; the target echo feature information includes at least 2 target echo features;
and the second processing sub-module is used for calculating and processing the target echo characteristic information to obtain echo parameter information.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the specific manner of calculating the target echo data by the first processing sub-module to obtain target echo electric field information is:
calculating the target echo data by using a preset current model to obtain echo current information; the current model is used for calculating the surface current of the target corresponding to the target echo data;
and calculating the echo current information by using a preset electric field model to obtain target echo electric field information.
In a second aspect of the embodiment of the present invention, the second processing module performs dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set in the following specific manner:
performing dictionary construction and estimation processing on the echo parameter information for multiple times to obtain first target estimation parameter information; the first target estimation parameter information comprises at least 4 first target estimation parameters;
performing dictionary construction and estimation processing on the first target estimation parameter information to obtain second target estimation parameter information; the second target estimation parameter information includes at least 2 second target estimation parameters.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the specific manner that the second processing module performs multiple dictionary construction and estimation processing on the echo parameter information to obtain the first target estimated parameter information is:
performing first round dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimation parameter information;
performing second-round dictionary construction and estimation processing on the first intermediate estimation parameter information to obtain first target estimation parameter information; the accuracy of the first target estimated parameters corresponding to the first target estimated parameter information is better than that of the first intermediate estimated parameters corresponding to the first intermediate estimated parameter information; the computational complexity of the second round dictionary construction and estimation is less than the computational complexity of the first round dictionary construction and estimation.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the specific manner that the second processing module performs the first round dictionary construction and estimation processing on the echo parameter information to obtain the first intermediate estimated parameter information is:
performing parameter gridding processing on the echo parameter information to obtain first position dictionary information;
performing preliminary estimation processing on the first position dictionary information to obtain first intermediate position information;
performing parameter gridding processing on the first intermediate position information to obtain second position dictionary information;
and performing preliminary estimation processing on the second position dictionary information to obtain first intermediate estimation parameter information.
As one such alternative implementation, in the second aspect of the embodiment of the present invention, the echo parameter includes an echo resolution, and/or an echo resolution unit length, and/or first coordinate information, and/or second coordinate information;
the second processing module performs parameter gridding processing on the echo parameter information to obtain first position dictionary information, and the second processing module comprises:
determining initial position dictionary information according to the first coordinate information and the second coordinate information in the echo parameter information;
Discretizing the initial position dictionary information by utilizing the echo resolution and the echo resolution unit length in the echo parameter information to obtain atomic parameter information;
vectorizing the atom parameter information to obtain first atom vector information;
normalizing the first atom vector information to obtain second atom vector information;
and converting the second atomic vector information by using a preset first dictionary model to obtain first position dictionary information.
A third aspect of the present invention discloses another data processing apparatus for parameter estimation, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform some or all of the steps in the data processing method for parameter estimation disclosed in the first aspect of the embodiment of the present invention.
A fourth aspect of the present invention discloses a computer storage medium storing computer instructions which, when invoked, are adapted to perform part or all of the steps of the data processing method for parameter estimation disclosed in the first aspect of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, target echo data is acquired; preprocessing target echo data to obtain echo parameter information; the echo parameter information includes at least 4 echo parameters; performing dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data. Therefore, the method and the device are beneficial to avoiding the problems that the parameter estimation precision is low, other parameters except the amplitude cannot be updated, local minimum solutions are easy to fall into, the calculation complexity is high and the like, so that the estimation precision of the parameter estimation is improved, and the calculation complexity is reduced.
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 flow chart of a data processing method for parameter estimation according to an embodiment of the present invention;
FIG. 2 is a flow chart of another data processing method for parameter estimation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data processing apparatus for parameter estimation according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another data processing apparatus for parameter estimation according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a data processing apparatus for parameter estimation according to still another embodiment of the present invention.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings, and 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 invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses a data processing method and a data processing device for parameter estimation, which can obtain target estimation parameter information for indicating classification and identification of a target corresponding to target echo data by carrying out preprocessing, dictionary construction and estimation processing on the target echo data, are beneficial to avoiding the problems that the parameter estimation precision is lower, other parameters except amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like, and further improve the estimation precision of the parameter estimation and reduce the calculation complexity. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flowchart of a data processing method for parameter estimation according to an embodiment of the present invention. The data processing method for parameter estimation described in fig. 1 is applied to a data processing system, such as a local server or a cloud server for data processing management of parameter estimation, which is not limited in the embodiments of the present invention. As shown in fig. 1, the data processing method for parameter estimation may include the following operations:
101. Target echo data is acquired.
102. And preprocessing target echo data to obtain echo parameter information.
In the embodiment of the present invention, the echo parameter information includes at least 4 echo parameters.
103. And carrying out dictionary construction and estimation processing on the echo parameter information to obtain a target estimation parameter information set.
In the embodiment of the present invention, the set of target estimation parameter information includes first target estimation parameter information and second target estimation parameter information.
In the embodiment of the present invention, the target estimation parameter information set is used for indicating classification and identification of a target corresponding to target echo data.
Optionally, the target estimation parameter information is directly obtained in the frequency domain, which can effectively avoid the problems of easy loss of characteristics, lower parameter estimation precision and the like in the image domain.
Optionally, the data processing method for parameter estimation can realize two-by-two separation of parameters, and then estimate the parameters respectively, so that the complexity is greatly reduced, super-resolution estimation of model parameters is obtained through coordinate rotation descent processing, and the calculation complexity is greatly reduced while the estimation precision is ensured.
Therefore, the data processing method for parameter estimation described by the embodiment of the invention can obtain the target estimation parameter information for indicating the classification and identification of the target corresponding to the target echo data by performing the preprocessing, dictionary construction and estimation processing on the target echo data, thereby being beneficial to avoiding the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like, and further improving the estimation precision of the parameter estimation and reducing the calculation complexity.
In an optional embodiment, the preprocessing the target echo data in step 102 to obtain echo parameter information includes:
calculating target echo data to obtain target echo electric field information;
carrying out statistical analysis on the target echo electric field information to obtain target echo characteristic information; the target echo feature information includes at least 2 target echo features;
and calculating the characteristic information of the target echo to obtain echo parameter information.
Optionally, the echo parameter includes an echo resolution, and/or an echo resolution unit length, and/or first coordinate information, and/or second coordinate information, which are not limited in the embodiment of the present invention.
Optionally, the target echo feature includes a recording frequency, and/or an azimuth domain, and/or a bandwidth, and/or point location coordinate information, which is not limited in the embodiment of the present invention.
In this optional embodiment, as an optional implementation manner, the specific manner of performing the calculation processing on the target echo feature information to obtain the echo parameter information is:
calculating the bandwidth in the target echo characteristic information by using the first echo model to obtain echo resolution;
Calculating the recording frequency and azimuth angle domain in the target echo characteristic information by using a second echo model to obtain echo resolution unit length;
and converting the point location coordinate information in the target echo characteristic information to obtain first coordinate information and second coordinate information.
Optionally, the specific form of the first echo model is:
wherein ρ is r Is echo resolution; c is the light velocity value; b is the bandwidth.
Optionally, the specific form of the second echo model is:
wherein ρ is a The unit length is resolved by echo, and lambda is the wavelength corresponding to the recorded center frequency; phi is the azimuth domain.
Optionally, the first coordinate information and the second coordinate information represent a scene range corresponding to the target echo data.
Therefore, the data processing method for parameter estimation described by the embodiment of the invention can calculate and analyze the target echo data to obtain the echo parameter information, is favorable for avoiding the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like, and further improves the estimation precision of the parameter estimation and reduces the calculation complexity.
In another optional embodiment, the calculating the target echo data to obtain target echo electric field information includes:
calculating target echo data by using a preset current model to obtain echo current information; the current model is used for calculating the surface current of the target corresponding to the target echo data;
and calculating the echo current information by using a preset electric field model to obtain target echo electric field information.
Optionally, the specific form of the current model is:
wherein J is S A surface current that is a target;and->The unit vector vertically pointing to the midpoint of the common edge and the unit vector vertically pointing outwards from the midpoint of the common edge are respectively; />Is free space wave impedance; />Is a wave number vector; e (E) 0 e -jk·r′ Is the incident electric field; f (f) m Is RWG basis function; n is the number of triangular patch pairs obtained by subdivision; m is the triangular patch pairing number; sigma is the cumulative calculation.
Optionally, the specific form of the electric field model is:
wherein E is S A target echo electric field corresponding to the target echo electric field information; r is the position vector of the observation point;is a unit location vector; r' is the source point position vector; s is an integral surface, namely a subdivision surface; η is; k is wave number; j is the unit imaginary number; the absolute value is taken; special ≡ S The |·| is the area score calculation.
Therefore, the data processing method for parameter estimation described by the embodiment of the invention can calculate and process the target echo data to obtain the target echo electric field information, which is beneficial to avoiding the problems of lower parameter estimation precision, incapability of updating other parameters except amplitude, easy sinking into local minimum solution, high calculation complexity and the like, thereby improving the estimation precision of parameter estimation and reducing the calculation complexity.
Example two
Referring to fig. 2, fig. 2 is a flow chart of another data processing method for parameter estimation according to an embodiment of the present invention. The data processing method for parameter estimation described in fig. 2 is applied to a data processing system, such as a local server or a cloud server for data processing management of parameter estimation, which is not limited in the embodiments of the present invention. As shown in fig. 2, the data processing method for parameter estimation may include the following operations:
201. target echo data is acquired.
202. And preprocessing target echo data to obtain echo parameter information.
203. And carrying out dictionary construction and estimation processing on the echo parameter information for multiple times to obtain first target estimation parameter information.
In the embodiment of the present invention, the first target estimation parameter information includes at least 4 first target estimation parameters.
204. And carrying out dictionary construction and estimation processing on the first target estimation parameter information to obtain second target estimation parameter information.
In the embodiment of the present invention, the second target estimation parameter information includes at least 2 second target estimation parameters.
In the embodiment of the present invention, for specific technical details and technical term explanations of the steps 201 to 202, reference may be made to the detailed descriptions of the steps 101 to 102 in the first embodiment, and the detailed descriptions of the embodiment of the present invention are omitted.
In this optional embodiment, as an optional implementation manner, the specific manner of performing dictionary construction and estimation processing on the first target estimated parameter information to obtain the second target estimated parameter information is:
acquiring dependency factor information;
processing the recording frequency and the dependence factor information to obtain dependence factor value range information;
carrying out dictionary construction and discretization on the dependent factor information and the dependent factor value range information to obtain first dependent dictionary information;
performing atom generation and vectorization processing on the first dependent dictionary information to obtain dependent atom vector information;
Carrying out energy normalization processing on the dependent atom vector information, and carrying out dictionary construction to obtain second dependent dictionary information;
acquiring signal allowance information and atomic index vector information;
initializing the dependent dictionary index vector information corresponding to the second dependent dictionary information;
carrying out frequency domain initialization processing on the signal allowance information to obtain signal column vector information;
calculating the dependent dictionary index vector information and the signal allowance information in the second dependent dictionary information to obtain a dependent coefficient vector;
updating the atomic index vector information according to the dependency coefficient vector;
matching the atomic index vector information with the second dependent dictionary information to obtain band elimination vector information;
calculating and screening the band elimination vector information, the atomic index vector information and the signal allowance information to obtain index atoms;
updating the atomic index vector information by using index atoms;
performing matching screening processing on the second dependent dictionary information and the atomic index vector information to obtain atomic sequence number information;
deleting and updating the index vector information of the dependent dictionary by utilizing the atomic sequence number information;
Calculating the signal column vector information, the atomic index vector information and the second dependent dictionary information by using a preset margin model to obtain intermediate margin vector information;
replacing and updating the signal residual information by using the intermediate residual vector information;
calculating signal column vector information, atomic index vector information and second dependency dictionary information by using a preset energy ratio model to obtain an energy ratio;
acquiring historical energy ratio information;
calculating historical energy ratio information and energy ratio to obtain an energy ratio difference value;
judging whether the energy ratio difference is smaller than a preset threshold value or not to obtain a threshold value judgment result;
when the threshold judgment result is negative, triggering and executing the calculation processing of the dependent dictionary index vector information and the signal allowance information in the second dependent dictionary information to obtain a dependent coefficient vector;
and when the threshold value judging result is yes, determining second target estimation parameter information according to the atomic index vector information.
Optionally, the specific form of the residual model is:
wherein r is 1 An intermediate residual vector corresponding to the intermediate residual vector information; s is a signal column vector corresponding to the signal column vector information; d (D) 1 A) is a matrix formed by columns matched with the atomic index vector information in the second dependent dictionary information;is pseudo-inverse.
Optionally, the specific form of the energy ratio model is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,is the square of the 2 norms.
Therefore, the data processing method for parameter estimation described by the embodiment of the invention can obtain the target estimation parameter information for indicating the classification and identification of the target corresponding to the target echo data by performing the preprocessing, dictionary construction and estimation processing on the target echo data, thereby being beneficial to avoiding the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like, and further improving the estimation precision of the parameter estimation and reducing the calculation complexity.
In an optional embodiment, performing dictionary construction and estimation processing on the echo parameter information for multiple times to obtain first target estimated parameter information includes:
performing first round dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimation parameter information;
performing second round dictionary construction and estimation processing on the first intermediate estimation parameter information to obtain first target estimation parameter information; the accuracy of the first target estimated parameters corresponding to the first target estimated parameter information is better than that of the first intermediate estimated parameters corresponding to the first intermediate estimated parameter information; the computational complexity of the second round dictionary construction and estimation is less than the computational complexity of the first round dictionary construction and estimation.
Therefore, the data processing method for parameter estimation described by the embodiment of the invention can perform dictionary construction and estimation processing on echo parameter information for multiple rounds to obtain the first target estimated parameter information, is more beneficial to avoiding the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like, and further improves the estimation precision of parameter estimation and reduces the calculation complexity.
In yet another optional embodiment, the performing the first round dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimated parameter information includes:
performing parameter gridding processing on the echo parameter information to obtain first position dictionary information;
performing preliminary estimation processing on the first position dictionary information to obtain first intermediate position information;
performing parameter gridding processing on the first intermediate position information to obtain second position dictionary information;
and performing preliminary estimation processing on the second position dictionary information to obtain first intermediate estimation parameter information.
Optionally, the coordinate rotation reduction can be realized through the two-wheel parameter gridding processing and the preliminary estimation processing, so as to improve the estimation precision and reduce the calculation complexity.
Determining scattering center length information according to the first intermediate position information;
according to the azimuth angle domain, determining azimuth angle information of a scattering center;
performing differential processing on the azimuth information of the scattering center to obtain azimuth intervals;
constructing first intermediate dictionary information according to the scattering center length information and the scattering center azimuth information;
setting a discrete interval of transverse coordinates of the first intermediate dictionary information as an echo resolution unit length;
setting a discrete interval of longitudinal coordinates of the first intermediate dictionary information as an azimuth interval;
performing discrete processing on the first intermediate dictionary information by using the discrete interval of the transverse coordinates of the first intermediate dictionary information and the discrete interval of the longitudinal coordinates of the first intermediate dictionary information to obtain second intermediate dictionary information;
performing atom generation and vectorization processing on the second intermediate dictionary information to obtain intermediate atom vector information;
and carrying out energy normalization processing on the intermediate atom vector information, and carrying out dictionary construction to obtain second position dictionary information.
Therefore, by implementing the data processing method for parameter estimation described in the embodiment of the invention, the echo parameter information can be subjected to parameter gridding processing and preliminary estimation processing to obtain the first intermediate estimation parameter information, so that the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high and the like are avoided, and the estimation precision of the parameter estimation is improved and the calculation complexity is reduced.
In a further alternative embodiment, the echo parameters include echo resolution, and/or echo resolution unit length, and/or first coordinate information, and/or second coordinate information;
performing parameter gridding processing on the echo parameter information to obtain first position dictionary information, wherein the method comprises the following steps:
determining initial position dictionary information according to the first coordinate information and the second coordinate information in the echo parameter information;
discretizing the initial position dictionary information by using the echo resolution ratio and the echo resolution unit length in the echo parameter information to obtain atomic parameter information;
vectorizing the atomic parameter information to obtain first atomic vector information;
normalizing the first atom vector information to obtain second atom vector information;
and converting the second atomic vector information by using a preset first dictionary model to obtain first position dictionary information.
Optionally, the specific way of discretizing the initial value position dictionary information by using the echo resolution and the echo resolution unit length in the echo parameter information is as follows:
setting the discrete interval of the transverse coordinates of the initial value position dictionary information as an echo resolution;
Setting the discrete interval of the longitudinal coordinates of the initial value position dictionary information as an echo resolution unit length;
and performing discrete processing on the initial value position dictionary information by using the discrete interval of the transverse coordinates of the initial value position dictionary information and the discrete interval of the longitudinal coordinates of the initial value position dictionary information to obtain first position dictionary information to be used.
Therefore, by implementing the data processing method for parameter estimation described in the embodiment of the invention, the echo parameter information can be subjected to parameter gridding processing to obtain the first position dictionary information, so that the problems that the parameter estimation precision is low, other parameters except the amplitude cannot be updated, local minimum solutions are easy to fall into, the calculation complexity is high and the like are solved, and the estimation precision of the parameter estimation is improved and the calculation complexity is reduced.
Example III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a data processing apparatus for parameter estimation according to an embodiment of the present invention. The apparatus described in fig. 3 can be applied to a data processing system, such as a local server or a cloud server for data processing management of parameter estimation, and embodiments of the present invention are not limited. As shown in fig. 3, the apparatus may include:
An acquisition module 301, configured to acquire target echo data;
the first processing module 302 is configured to perform preprocessing on target echo data to obtain echo parameter information; the echo parameter information includes at least 4 echo parameters;
the second processing module 303 is configured to perform dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data.
Therefore, the data processing device for parameter estimation described in fig. 3 can obtain the target estimation parameter information for indicating the classification and identification of the target corresponding to the target echo data by performing the preprocessing, dictionary construction and estimation processing on the target echo data, which is beneficial to avoiding the problems of low parameter estimation precision, incapability of updating other parameters except the amplitude, easy sinking into local minimum solution, high calculation complexity and the like, thereby improving the estimation precision of the parameter estimation and reducing the calculation complexity.
In another alternative embodiment, as shown in fig. 4, the first processing module 302 includes a first processing sub-module 3021, a statistical analysis sub-module 3022, and a second processing sub-module 3023, wherein:
A first processing sub-module 3021, configured to perform calculation processing on the target echo data to obtain target echo electric field information;
the statistical analysis submodule 3022 is used for carrying out statistical analysis on the target echo electric field information to obtain target echo characteristic information; the target echo feature information includes at least 2 target echo features;
the second processing sub-module 3023 is configured to perform calculation processing on the target echo feature information to obtain echo parameter information.
Therefore, the data processing device for parameter estimation described in fig. 4 can perform calculation processing and statistical analysis on the target echo data to obtain echo parameter information, which is favorable for avoiding the problems of low parameter estimation precision, incapability of updating other parameters except amplitude, easy sinking into local minimum solution, high calculation complexity and the like, thereby improving the estimation precision of parameter estimation and reducing the calculation complexity.
In yet another alternative embodiment, as shown in fig. 4, the first processing submodule 3022 performs calculation processing on the target echo data, and a specific manner of obtaining the target echo electric field information is:
calculating target echo data by using a preset current model to obtain echo current information; the current model is used for calculating the surface current of the target corresponding to the target echo data;
And calculating the echo current information by using a preset electric field model to obtain target echo electric field information.
Therefore, the data processing device for parameter estimation described in fig. 4 can perform calculation processing on the target echo data to obtain the target echo electric field information, which is favorable for avoiding the problems of low parameter estimation precision, incapability of updating other parameters except amplitude, easy sinking into local minimum solution, high calculation complexity and the like, thereby improving the estimation precision of parameter estimation and reducing the calculation complexity.
In yet another alternative embodiment, as shown in fig. 4, the second processing module 303 performs dictionary construction and estimation processing on the echo parameter information, and the specific manner of obtaining the target estimated parameter information set is as follows:
performing dictionary construction and estimation processing on echo parameter information for multiple times to obtain first target estimation parameter information; the first target estimation parameter information comprises at least 4 first target estimation parameters;
performing dictionary construction and estimation processing on the first target estimation parameter information to obtain second target estimation parameter information; the second target estimation parameter information includes at least 2 second target estimation parameters.
Therefore, the data processing device for parameter estimation described in fig. 4 can obtain the target estimation parameter information for indicating the classification and identification of the target corresponding to the target echo data by performing the preprocessing, dictionary construction and estimation processing on the target echo data, which is beneficial to avoiding the problems of low parameter estimation precision, incapability of updating other parameters except the amplitude, easy sinking into local minimum solution, high calculation complexity and the like, thereby improving the estimation precision of the parameter estimation and reducing the calculation complexity.
In yet another alternative embodiment, as shown in fig. 4, the second processing module 303 performs dictionary construction and estimation processing on the echo parameter information for multiple times, and the specific manner of obtaining the first target estimated parameter information is:
performing first round dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimation parameter information;
performing second round dictionary construction and estimation processing on the first intermediate estimation parameter information to obtain first target estimation parameter information; the accuracy of the first target estimated parameters corresponding to the first target estimated parameter information is better than that of the first intermediate estimated parameters corresponding to the first intermediate estimated parameter information; the computational complexity of the second round dictionary construction and estimation is less than the computational complexity of the first round dictionary construction and estimation.
Therefore, implementing the data processing apparatus for parameter estimation described in fig. 4 can perform dictionary construction and estimation processing on echo parameter information for multiple rounds to obtain the first target estimated parameter information, which is more beneficial to avoiding the problems of low parameter estimation precision, incapability of updating other parameters except amplitude, easy sinking into local minimum solution, high calculation complexity and the like, thereby improving the estimation precision of parameter estimation and reducing the calculation complexity.
In yet another alternative embodiment, as shown in fig. 4, the second processing module 303 performs the first round of dictionary construction and estimation processing on the echo parameter information to obtain the first intermediate estimated parameter information in the following specific manner:
performing parameter gridding processing on the echo parameter information to obtain first position dictionary information;
performing preliminary estimation processing on the first position dictionary information to obtain first intermediate position information;
performing parameter gridding processing on the first intermediate position information to obtain second position dictionary information;
and performing preliminary estimation processing on the second position dictionary information to obtain first intermediate estimation parameter information.
Therefore, the data processing device for parameter estimation described in fig. 4 can perform the parameter gridding process and the preliminary estimation process on the echo parameter information to obtain the first intermediate estimated parameter information, which is more beneficial to avoiding the problems that the parameter estimation precision is lower, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high, and the like, thereby improving the estimation precision of the parameter estimation and reducing the calculation complexity.
In yet another alternative embodiment, as shown in fig. 4, the echo parameters include echo resolution, and/or echo resolution unit length, and/or first coordinate information, and/or second coordinate information;
The second processing module 303 performs parameter gridding processing on the echo parameter information to obtain first location dictionary information, including:
determining initial position dictionary information according to the first coordinate information and the second coordinate information in the echo parameter information;
discretizing the initial position dictionary information by using the echo resolution ratio and the echo resolution unit length in the echo parameter information to obtain atomic parameter information;
vectorizing the atomic parameter information to obtain first atomic vector information;
normalizing the first atom vector information to obtain second atom vector information;
and converting the second atomic vector information by using a preset first dictionary model to obtain first position dictionary information.
Therefore, the data processing device for parameter estimation described in fig. 4 can perform parameter gridding processing on the echo parameter information to obtain the first position dictionary information, which is more beneficial to avoiding the problems that the parameter estimation precision is low, other parameters except the amplitude cannot be updated, local minimum solutions are easy to be trapped, the calculation complexity is high, and the like, so that the estimation precision of the parameter estimation is improved and the calculation complexity is reduced.
Example IV
Referring to fig. 5, fig. 5 is a schematic structural diagram of a data processing apparatus for parameter estimation according to another embodiment of the present invention. The apparatus described in fig. 5 can be applied to a data processing system, such as a local server or a cloud server for data processing management of parameter estimation, and embodiments of the present invention are not limited. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program codes;
a processor 402 coupled with the memory 401;
the processor 402 invokes executable program codes stored in the memory 401 for performing the steps in the data processing method for parameter estimation described in the first or second embodiment.
Example five
The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps in the data processing method for parameter estimation described in the first or second embodiment.
Example six
The embodiments of the present invention disclose a computer program product comprising a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps of the data processing method for parameter estimation described in the first or second embodiment.
The apparatus embodiments described above are merely illustrative, in which the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the disclosure of a data processing method and apparatus for parameter estimation in the embodiments of the present invention is only a preferred embodiment of the present invention, and is only for illustrating the technical scheme of the present invention, but not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (9)
1. A data processing method for parameter estimation, the method comprising:
acquiring target echo data;
preprocessing the target echo data to obtain echo parameter information; the echo parameter information comprises at least 4 echo parameters;
the preprocessing the target echo data to obtain echo parameter information includes:
calculating the target echo data to obtain target echo electric field information;
carrying out statistical analysis on the target echo electric field information to obtain target echo characteristic information; the target echo feature information includes at least 2 target echo features; the target echo characteristics comprise broadband, admission frequency, azimuth angle domain and point location coordinate information;
Calculating the target echo characteristic information to obtain echo parameter information; the echo parameter information comprises echo frequency, echo resolution unit length, first coordinate information and second coordinate information; the first coordinate information and the second coordinate information represent a scene range corresponding to the target echo data;
the calculating the target echo characteristic information to obtain echo parameter information includes:
calculating the bandwidth in the target echo characteristic information by using a first echo model to obtain echo resolution;
the specific form of the first echo model is as follows:
wherein ρ is r For the echo resolution; c is the light velocity value; b is the bandwidth;
calculating the recording frequency and azimuth angle domain in the target echo characteristic information by using a second echo model to obtain the echo resolution unit length;
the specific form of the second echo model is as follows:
wherein ρ is a Distinguishing unit length for the echo, wherein lambda is the wavelength corresponding to the recorded center frequency; phi is the azimuth angle domain;
converting point location coordinate information in the target echo characteristic information to obtain the first coordinate information and the second coordinate information;
Performing dictionary construction and estimation processing on the echo parameter information to obtain a target estimation parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data.
2. The data processing method for parameter estimation according to claim 1, wherein the calculating the target echo data to obtain target echo electric field information includes:
calculating the target echo data by using a preset current model to obtain echo current information; the current model is used for calculating the surface current of the target corresponding to the target echo data;
and calculating the echo current information by using a preset electric field model to obtain target echo electric field information.
3. The method for data processing of parameter estimation according to claim 1, wherein the performing dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set includes:
performing dictionary construction and estimation processing on the echo parameter information for multiple times to obtain first target estimation parameter information; the first target estimation parameter information comprises at least 4 first target estimation parameters;
Performing dictionary construction and estimation processing on the first target estimation parameter information to obtain second target estimation parameter information; the second target estimation parameter information includes at least 2 second target estimation parameters.
4. The data processing method for parameter estimation according to claim 3, wherein performing dictionary construction and estimation processing on the echo parameter information multiple times to obtain the first target estimated parameter information includes:
performing first round dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimation parameter information;
performing second-round dictionary construction and estimation processing on the first intermediate estimation parameter information to obtain first target estimation parameter information; the accuracy of the first target estimated parameters corresponding to the first target estimated parameter information is better than that of the first intermediate estimated parameters corresponding to the first intermediate estimated parameter information; the computational complexity of the second round dictionary construction and estimation is less than the computational complexity of the first round dictionary construction and estimation.
5. The method for data processing for parameter estimation according to claim 4, wherein said performing a first round of dictionary construction and estimation processing on the echo parameter information to obtain first intermediate estimated parameter information includes:
Performing parameter gridding processing on the echo parameter information to obtain first position dictionary information;
performing preliminary estimation processing on the first position dictionary information to obtain first intermediate position information;
performing parameter gridding processing on the first intermediate position information to obtain second position dictionary information;
and performing preliminary estimation processing on the second position dictionary information to obtain first intermediate estimation parameter information.
6. The data processing method for parameter estimation according to claim 5, wherein the echo parameters include echo resolution, and/or echo resolution unit length, and/or first coordinate information, and/or second coordinate information;
the performing parameter gridding processing on the echo parameter information to obtain first position dictionary information includes:
determining initial position dictionary information according to the first coordinate information and the second coordinate information in the echo parameter information;
discretizing the initial position dictionary information by utilizing the echo resolution and the echo resolution unit length in the echo parameter information to obtain atomic parameter information;
vectorizing the atom parameter information to obtain first atom vector information;
Normalizing the first atom vector information to obtain second atom vector information;
and converting the second atomic vector information by using a preset first dictionary model to obtain first position dictionary information.
7. A data processing apparatus for parameter estimation, the apparatus comprising:
the acquisition module is used for acquiring target echo data;
the first processing module is used for preprocessing the target echo data to obtain echo parameter information; the echo parameter information comprises at least 4 echo parameters;
the preprocessing the target echo data to obtain echo parameter information includes:
calculating the target echo data to obtain target echo electric field information;
carrying out statistical analysis on the target echo electric field information to obtain target echo characteristic information; the target echo feature information includes at least 2 target echo features; the target echo characteristics comprise broadband, admission frequency, azimuth angle domain and point location coordinate information;
calculating the target echo characteristic information to obtain echo parameter information; the echo parameter information comprises echo frequency, echo resolution unit length, first coordinate information and second coordinate information; the first coordinate information and the second coordinate information represent a scene range corresponding to the target echo data;
The calculating the target echo characteristic information to obtain echo parameter information includes:
calculating the bandwidth in the target echo characteristic information by using a first echo model to obtain echo resolution;
the specific form of the first echo model is as follows:
wherein ρ is r For the echo resolution; c is the light velocity value; b is the bandwidth;
calculating the recording frequency and azimuth angle domain in the target echo characteristic information by using a second echo model to obtain the echo resolution unit length;
the specific form of the second echo model is as follows:
wherein ρ is a Distinguishing unit length for the echo, wherein lambda is the wavelength corresponding to the recorded center frequency; phi is the azimuth angle domain;
converting point location coordinate information in the target echo characteristic information to obtain the first coordinate information and the second coordinate information; the second processing module is used for carrying out dictionary construction and estimation processing on the echo parameter information to obtain a target estimated parameter information set; the target estimation parameter information set comprises first target estimation parameter information and second target estimation parameter information; the target estimation parameter information set is used for indicating classification and identification of targets corresponding to the target echo data.
8. A data processing apparatus for parameter estimation, the apparatus comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the data processing method for parameter estimation as claimed in any one of claims 1 to 6.
9. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the data processing method for parameter estimation according to any of claims 1-6.
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