CN116821618B - Sea surface monitoring radar clutter suppression method and system - Google Patents
Sea surface monitoring radar clutter suppression method and system Download PDFInfo
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Abstract
The invention discloses a sea surface monitoring radar clutter suppression method and a system, wherein the method comprises the following steps: acquiring the frequency of a radar signal, judging whether the radar signal is a discrete signal or a continuous signal, calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal; setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a discrete signal, and when the radar signal is a continuous signal, calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal; and comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and inhibiting radar signals exceeding the preset radar clutter judgment threshold value.
Description
Technical Field
The invention belongs to the technical field of sea surface monitoring radar clutter suppression, and particularly relates to a sea surface monitoring radar clutter suppression method and system.
Background
Sea surveillance radar is a radar system for monitoring sea activity and targets. In an offshore environment, there are many sources of interference and clutter, which can have an impact on the performance and target detection capabilities of the radar system. The following are some of the usual sea surface surveillance radar clutter suppression methods:
1. pulse compression: the pulse compression technique can improve the resolution and target detection performance of radar systems by using wideband pulse signals during transmission and reception. The pulse compression can reduce the influence of clutter on the radar receiver and improve the signal-to-noise ratio between the target signal and the clutter.
2. Spectral analysis and filtering: by performing a spectral analysis on the received radar signal, the main clutter frequency content can be determined. Filters may then be used to suppress these frequency components to reduce the effect of clutter on the radar system.
3. Geographic clutter suppression: the geographic clutter is caused by waves, vortices and other geographic environmental factors on the sea surface, which clutter may interfere with radar signals. In order to suppress the geographic clutter, the influence of the geographic clutter can be reduced by processing the received radar signals using doppler filter and adaptive filter techniques.
4. Clutter cancellation algorithm: clutter cancellation algorithms are a technique to reduce clutter effects by processing received radar signals. These algorithms may process the radar signal based on the statistical, time-domain, and frequency-domain characteristics of the clutter to reduce the power and impact of the clutter.
5. Antenna design and beamforming: reasonable antenna design and beam forming technology can improve the directivity and target resolution of the radar system, so that the influence of sea clutter is reduced. Clutter signals from non-target directions can be reduced by selecting appropriate antenna forms and beamforming algorithms.
These methods are often used in combination to improve the performance of the sea surveillance radar system and to suppress the effects of clutter. However, there is no technology in the prior art that can identify clutter preferentially, so as to suppress clutter.
Disclosure of Invention
In order to solve the technical problems, the invention provides a sea surface monitoring radar clutter suppression method, which comprises the following steps:
acquiring the frequency of a radar signal, judging whether the radar signal is a discrete signal or a continuous signal, calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a discrete signal, and when the radar signal is a continuous signal, calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal;
and comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and inhibiting radar signals exceeding the preset radar clutter judgment threshold value.
Further, the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter.
Further, the method comprises the steps of:
if the radar signal is a discrete signal, then it is assumed that the radar signal consists of n sample values, each sample value being represented asx i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal.
Further, if the radar signal is a discrete signal, the formula for calculating the variance σ of the radar signal frequency is:
further, the method comprises the steps of:
if the radar signal is a continuous signal, it is assumed that the frequency of the radar signal is x t μ of radar signal frequency is calculated by:
wherein T is the observation time length of the radar signal, and x t Is the frequency of the radar signal at time t.
Further, if the radar signal is a continuous signal, the formula for calculating the variance σ of the radar signal frequency is:
the invention also provides a sea surface monitoring radar clutter suppression system, which comprises:
the computing module is used for acquiring the frequency of the radar signal, judging whether the radar signal is a discrete signal or a continuous signal, computing the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and computing the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
the system comprises a setting model module, a radar clutter judgment module and a radar clutter judgment module, wherein the setting model module is used for setting a radar clutter judgment model, calculating a radar clutter judgment value according to the mean value and the variance of radar signal frequency when the radar signal is a discrete signal, and calculating the radar clutter judgment value according to the mean value and the variance of radar signal frequency when the radar signal is a continuous signal;
and the suppression module is used for comparing the radar clutter judgment value with a preset radar clutter judgment threshold value and suppressing radar signals exceeding the preset radar clutter judgment threshold value.
Further, the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter.
Further, the method comprises the steps of:
if the radar signal is a discrete signal, then it is assumed that the radar signal consists of n sample values, each sample value being denoted as x i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal.
Further, if the radar signal is a discrete signal, the formula for calculating the variance σ of the radar signal frequency is:
in general, the above technical solutions conceived by the present invention have the following beneficial effects compared with the prior art:
according to the method, the frequency of the radar signal is obtained, whether the radar signal is a discrete signal or a continuous signal is judged, when the radar signal is the discrete signal, the mean value and the variance of the frequency of the radar signal are calculated, and when the radar signal is the continuous signal, the mean value and the variance of the frequency of the radar signal are calculated; setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a discrete signal, and when the radar signal is a continuous signal, calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal; and comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and inhibiting radar signals exceeding the preset radar clutter judgment threshold value. According to the technical scheme, the clutter in the radar echo can be accurately identified, so that the clutter is suppressed.
Drawings
FIG. 1 is a flow chart of the method of embodiment 1 of the present invention;
fig. 2 is a block diagram of a system of embodiment 2 of the present invention.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
The method provided by the invention can be implemented in a terminal environment, wherein the terminal can comprise one or more of the following components: processor, storage medium, and display screen. Wherein the storage medium has stored therein at least one instruction that is loaded and executed by the processor to implement the method described in the embodiments below.
The processor may include one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the storage medium, and invoking data stored in the storage medium.
The storage medium may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). The storage medium may be used to store instructions, programs, code sets, or instructions.
The display screen is used for displaying a user interface of each application program.
All subscripts in the formula of the invention are only used for distinguishing parameters and have no practical meaning.
In addition, it will be appreciated by those skilled in the art that the structure of the terminal described above is not limiting and that the terminal may include more or fewer components, or may combine certain components, or a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a power supply, and the like, which are not described herein.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a sea surface surveillance radar clutter suppression method, including:
step 101, obtaining the frequency of a radar signal, judging whether the radar signal is a discrete signal or a continuous signal, calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
specifically, if the radar signal is a discrete signal, it is assumed that the radar signal is composed of n sample values, each sample value being denoted as x i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal.
Specifically, if the radar signal is a discrete signal, the formula for calculating the variance σ of the radar signal frequency is:
specifically, if the radar signal is a continuous signal, it is assumed that the frequency of the radar signal is x t μ of radar signal frequency is calculated by:
wherein T is the observation time length of the radar signal, and x t Is the frequency of the radar signal at time t.
If the radar signal is a continuous signal, the formula for calculating the variance sigma of the radar signal frequency is:
102, setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a discrete signal, and when the radar signal is a continuous signal, calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal;
specifically, the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter.
And step 103, comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and suppressing radar signals exceeding the preset radar clutter judgment threshold value.
Example 2
As shown in fig. 2, an embodiment of the present invention further provides a sea surface surveillance radar clutter suppression system, including:
the computing module is used for acquiring the frequency of the radar signal, judging whether the radar signal is a discrete signal or a continuous signal, computing the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and computing the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
specifically, if the radar signal is a discrete signal, it is assumed that the radar signal is composed of n sample values, each sample value being denoted as x i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal.
Specifically, if the radar signal is a discrete signal, the formula for calculating the variance σ of the radar signal frequency is:
specifically, if the radar signal is a continuous signal, assuming that the frequency of the radar signal is xt, μ of the radar signal frequency is calculated by the following equation:
wherein T is the observation time length of the radar signal, and x t Is the frequency of the radar signal at time t.
If the radar signal is a continuous signal, the formula for calculating the variance sigma of the radar signal frequency is:
the system comprises a setting model module, a radar clutter judgment module and a radar clutter judgment module, wherein the setting model module is used for setting a radar clutter judgment model, calculating a radar clutter judgment value according to the mean value and the variance of radar signal frequency when the radar signal is a discrete signal, and calculating the radar clutter judgment value according to the mean value and the variance of radar signal frequency when the radar signal is a continuous signal;
specifically, the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter.
And the suppression module is used for comparing the radar clutter judgment value with a preset radar clutter judgment threshold value and suppressing radar signals exceeding the preset radar clutter judgment threshold value.
Example 3
The embodiment of the invention also provides a storage medium which stores a plurality of instructions for realizing the sea surface surveillance radar clutter suppression method.
Alternatively, in this embodiment, the storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.
Alternatively, in the present embodiment, the storage medium is configured to store program code for performing the steps of: step 101, obtaining the frequency of a radar signal, judging whether the radar signal is a discrete signal or a continuous signal, calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
specifically, if the radar signal is a discrete signal, it is assumed that the radar signal is composed of n sample values, each sample value being denoted as x i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal.
Specifically, if the radar signal is a discrete signal, the formula for calculating the variance σ of the radar signal frequency is:
specifically, if the radar signal is a continuous signal, assuming that the frequency of the radar signal is xt, μ of the radar signal frequency is calculated by the following equation:
wherein T is the observation time length of the radar signal, and x t Is the frequency of the radar signal at time t.
If the radar signal is a continuous signal, the formula for calculating the variance sigma of the radar signal frequency is:
102, setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a discrete signal, and when the radar signal is a continuous signal, calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal;
specifically, the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter.
And step 103, comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and suppressing radar signals exceeding the preset radar clutter judgment threshold value.
Example 4
The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage medium connected with the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the sea surface surveillance radar clutter suppression method.
Specifically, the electronic device of the present embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.
The storage medium may be used to store a software program and a module, for example, a sea surface surveillance radar clutter suppression method in the embodiment of the present invention, and the processor executes various functional applications and data processing by running the software program and the module stored in the storage medium, that is, implements the sea surface surveillance radar clutter suppression method. The storage medium may include a high-speed random access storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage medium. In some examples, the storage medium may further include a storage medium remotely located with respect to the processor, and the remote storage medium may be connected to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor may invoke the information stored in the storage medium and the application program via the transmission system to perform the following steps: step 101, obtaining the frequency of a radar signal, judging whether the radar signal is a discrete signal or a continuous signal, calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
specifically, if the radar signal is a discrete signal, it is assumed that the radar signal is composed of n sample values, each sample value being denoted as x i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal.
Specifically, if the radar signal is a discrete signal, the formula for calculating the variance σ of the radar signal frequency is:
specifically, if the radar signal is a continuous signal, it is assumed that the frequency of the radar signal is x t μ of radar signal frequency is calculated by:
wherein T isLength of observation time of radar signal, x t Is the frequency of the radar signal at time t.
If the radar signal is a continuous signal, the formula for calculating the variance sigma of the radar signal frequency is:
102, setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a discrete signal, and when the radar signal is a continuous signal, calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal;
specifically, the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter.
And step 103, comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and suppressing radar signals exceeding the preset radar clutter judgment threshold value.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units is merely a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or the like, which can store program codes.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (2)
1. A method of clutter suppression for sea surveillance radar, comprising:
acquiring the frequency of a radar signal, judging whether the radar signal is a discrete signal or a continuous signal, calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and calculating the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
setting a radar clutter judgment model, when the radar signal is a discrete signal, calculating a radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal, and calculating the radar clutter judgment value according to the mean value and the variance of the radar signal frequency when the radar signal is a continuous signal, wherein the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter;
if the radar signal is a discrete signal, then it is assumed that the radar signal consists of n sample values, each sample value being denoted as x i Then the mean value of the radar signal frequencyμ is calculated by the formula:
wherein x is i Is the frequency of the ith radar signal;
if the radar signal is a discrete signal, the formula for calculating the variance sigma of the radar signal frequency is:
if the radar signal is a continuous signal, it is assumed that the frequency of the radar signal is x t μ of radar signal frequency is calculated by:
wherein T is the observation time length of the radar signal, and x t The frequency of the radar signal at time t;
if the radar signal is a continuous signal, the formula for calculating the variance sigma of the radar signal frequency is:
and comparing the radar clutter judgment value with a preset radar clutter judgment threshold value, and inhibiting radar signals exceeding the preset radar clutter judgment threshold value.
2. A sea surveillance radar clutter suppression system comprising:
the computing module is used for acquiring the frequency of the radar signal, judging whether the radar signal is a discrete signal or a continuous signal, computing the mean value and the variance of the frequency of the radar signal when the radar signal is the discrete signal, and computing the mean value and the variance of the frequency of the radar signal when the radar signal is the continuous signal;
the method comprises the steps of setting a model module, wherein the model module is used for setting a radar clutter judgment model, calculating a radar clutter judgment value according to the mean value and the variance of radar signal frequency when the radar signal is a discrete signal, and calculating the radar clutter judgment value according to the mean value and the variance of radar signal frequency when the radar signal is a continuous signal, wherein the radar clutter judgment model is as follows:
wherein L is a radar clutter judgment value, sigma is a variance of radar signal frequency, gamma is a mean value adjustment factor for adjusting the influence of the mean value on the judgment of the radar clutter, mu is a mean value of the radar signal frequency, x is the frequency of the radar signal, and beta is an extremum adjustment factor for adjusting the influence of a maximum value and a minimum value on the judgment of the radar clutter;
if the radar signal is a discrete signal, then it is assumed that the radar signal consists of n sample values, each sample value being denoted as x i The mean μ of the radar signal frequencies is calculated by:
wherein x is i Is the frequency of the ith radar signal;
if the radar signal is a discrete signal, the formula for calculating the variance sigma of the radar signal frequency is:
if the radar signal is a continuous signal, it is assumed that the frequency of the radar signal is x t Mu-pass of radar signal frequencyThe following formula is calculated:
wherein T is the observation time length of the radar signal, and x t The frequency of the radar signal at time t;
if the radar signal is a continuous signal, the formula for calculating the variance sigma of the radar signal frequency is:
and the suppression module is used for comparing the radar clutter judgment value with a preset radar clutter judgment threshold value and suppressing radar signals exceeding the preset radar clutter judgment threshold value.
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