KR102197291B1 - radar receiver - Google Patents

Abstract

The present invention relates to a radar receiving apparatus and a clutter suppression method thereof for removing clutter having inhomogeneity and abnormality characteristics by using prior information and test cell data. The clutter suppression method based on prior information according to an embodiment of the present invention includes the steps of generating a first clutter signal using the prior information, estimating a frequency range of the first clutter signal, and the first It may include the step of suppressing the clutter signal of the radar received signal by calculating a covariance matrix of the clutter signal.

Description

Radar receiver

The present invention relates to a radar receiving apparatus and a clutter suppression method thereof, and more particularly, a radar receiving apparatus for removing clutter having inhomogeneity and abnormality characteristics using prior information and test cell data, and a clutter suppression method thereof It is about.

A space-time adaptive radar is a radar system capable of obtaining two-dimensional gains in spatial and temporal terms in order to improve target detection performance. Such a radar system can effectively remove clutter by utilizing signal processing for space and time as well as target detection performance, and this signal processing method is used in space-time adaptvie processing (STAP). ). The radar received signal consists of a target signal scattered by a radar transmission signal and a clutter and other noise scattered by surrounding environments. Clutter interferes with the target signal, and if the clutter is strong, the target signal may be masked to make target detection difficult. Therefore, in order to increase the accuracy of target detection, a technique for effectively suppressing the clutter component in the radar received signal is required.

The core of the spatio-temporal adaptive processing technology is to estimate the clutter corresponding to a test cell. The RMB (Reed, Mallet, and Brennan) law is based on a homogeneous clutter environment and an independent identically distributed (IID) assumption. It was theoretically shown that training data corresponding to '2 × number of elements × number of pulses' is required to obtain a loss of less than 3 dB compared to the matched filter. However, there is a limit to estimating the clutter of the test cell because the amount of training data corresponding to '2 × number of devices × number of pulses' is too large and an IID assumption cannot be made in a heterogeneous clutter environment. In order to deal with this problem, various studies have been conducted to reduce training data, but the clutter suppression technology using prior information has shown limited suppression performance for the clutter with abnormal and inhomogeneous characteristics occurring in the real environment. Although newly proposed, there is still a problem in that the performance is very degraded due to the intrinsic clutter motion (ICM) characteristics of the clutter or depending on training data.

The present invention is capable of estimating the covariance of clutter having inhomogeneity and abnormal characteristics using only CUT (Cell Under Test) data and prior information in monostatic and bistatic radar environments, and removing the clutter signal from the radar received signal. It is to provide a radar receiving apparatus and a clutter suppression method thereof.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems that are not mentioned will be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description. I will be able to.

In order to solve the above technical problem, a clutter suppression method based on prior information according to an embodiment of the present invention includes: generating a first clutter signal using the prior information; Estimating a frequency range of the primary clutter signal; And calculating a covariance matrix of the primary clutter signal to suppress the clutter signal of the radar received signal.

According to an embodiment, the dictionary information may include a velocity vector and a unit vector of each of the radar transmission device and the radar reception device.

According to an embodiment, suppressing the clutter signal may include performing a dot product operation on the radar received signal using the covariance matrix.

According to another embodiment of the present invention, a clutter suppression method based on prior information includes: calculating a covariance matrix using a first-order clutter signal and a radar reception signal generated based on the prior information; And suppressing a clutter signal of the radar reception signal based on the covariance matrix.

Depending on the embodiment, the dictionary information may be irrelevant to training data.

According to an embodiment, the clutter included in the radar reception signal may have inhomogeneity and abnormality characteristics.

According to another embodiment of the present invention, a method for suppressing clutter based on prior information includes: receiving a radar reception signal including a clutter having inhomogeneity and abnormality; Estimating a frequency range of the generated primary clutter signal using the prior information; And calculating a covariance matrix of the primary clutter signal to suppress a clutter signal of the radar received signal.

According to an embodiment, in the step of receiving the radar reception signal, the radar reception signal is received through a linear array antenna consisting of M (M is an integer greater than 1) pulses and N (N is an integer greater than 1) elements. It may include the step of.

According to an embodiment, the dictionary information may include a velocity vector and a unit vector of each of the radar transmission device and the radar reception device.

A radar receiving apparatus according to an embodiment of the present invention includes: a clutter signal generator configured to generate a primary clutter signal using advance information; A frequency range determination unit estimating a frequency range of the primary clutter signal; And a clutter signal suppressor configured to suppress a clutter signal of a radar received signal by calculating a covariance matrix of the first clutter signal.

A radar reception apparatus according to another embodiment of the present invention includes: a covariance matrix calculator configured to calculate a covariance matrix using a first order clutter signal and a radar reception signal generated based on prior information; And a clutter signal suppressor configured to suppress a clutter signal of the radar reception signal based on the covariance matrix.

A radar reception apparatus according to another embodiment of the present invention includes: a reception unit for receiving a radar reception signal including a clutter having inhomogeneity and abnormality; A frequency range determining unit for estimating a frequency range of the primary clutter signal generated by using the prior information; And a clutter signal suppressor configured to suppress a clutter signal of the radar received signal by calculating a covariance matrix of the first clutter signal.

According to the radar receiving apparatus and the clutter suppression method according to the exemplary embodiment of the present invention configured as described above, a plurality of training data is not required by using a clutter suppression technology based on prior information using only CUT data. Since the calculation time can be shortened and the spreading phenomenon of the clutter spectrum due to ICM can be estimated from CUT data, it is possible to effectively remove the clutter having inhomogeneity and abnormality characteristics.

The effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those of ordinary skill in the art from the following description. will be.

1 is a schematic diagram of a bistatic radar environment.
2 shows the spectrum in the angle-Doppler plane of a signal received from a specific CUT containing a target signal.
3 shows the spectrum in the angle-Doppler plane of the clutter calculated using Equation 5.
4 shows a correlation between CUT data and candidate clutter signals.
5 is an angle-Doppler spectrum of an output signal to which a clutter suppression algorithm according to an embodiment of the present invention is applied.
6 is a schematic block diagram of a radar receiving apparatus according to an embodiment of the present invention.
7 is a flowchart illustrating an operation of the clutter signal processor shown in FIG. 6.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the embodiments described below are only for explaining in detail enough that a person having ordinary knowledge in the technical field of the present invention can easily carry out the invention, and this limits the protection scope of the present invention. Does not mean. In addition, in describing various embodiments of the present invention, the same reference numerals will be used for components having the same technical characteristics.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

1 is a schematic diagram of a bistatic radar environment.

Referring to FIG. 1, a bistatic radar environment is a structure in which a radar transmitter and a radar receiver are separated and spaced apart, and is distinguished from a monostatic radar environment in which a radar transmitter and a radar receiver are integrally formed.

The clutter generated in the environment in which the actual radar is operated has a characteristic of heterogeneous, and at the same time, it has a nonstationary characteristic of the clutter in the case of a bistatic radar or a monostatic non-sidelooking radar structure. Due to this characteristic, there is a limitation in securing the number of independent identically distributed (IID) training data required to estimate a clutter signal, so the clutter suppression performance is inevitably deteriorated. The present invention proposes an algorithm for suppressing clutter without training data by estimating the clutter containing ICM (Intrinsic Clutter Motion) using only prior information for CUT (Cell under test) in a monostatic or bistatic radar environment. I want to.

A monostatic radar is a case in which the transmitting end and the receiving end are the same in a bistatic radar environment and corresponds to a special example of a bistatic radar environment, and therefore, in the present specification, it is assumed that it is a bistatic radar environment.

The transmission signal radiated from the radar transmission device 50 is scattered by clutter components existing at the same distance (iso-range) with the target as shown in FIG. 1 and received by the radar reception device 100. Here, the same distance is the sum of the distance between the transmitting device 50 and the target, the distance between the receiving device 100 and the target, and the distance between the transmitting device 50 and the clutter, and the distance between the receiving device 100 and the clutter. This means the same case. Hereinafter, since the transmitting device 50 and the transmitting end, and the receiving device 100 and the receiving end have the same meaning, they will be described interchangeably.

When the clutter patches existing at the same distance from the target are composed of Nc pieces, the Doppler frequency formed by the l-th clutter patch and the radar may be expressed by Equation 1 below.

와

는 송신단과 수신단 각각의 속도 벡터를 의미하고

는 l번째 클러터 패치와 송신단이 이루는 단위 벡터,

는 l번째 클러터 패치와 수신단이 이루는 단위 벡터,

는 파장(wavelength)을 의미한다. M(M은 1이상의 정수)개의 펄스를 사용하고 N(N은 1이상의 정수)개의 소자로 구성된 선형 배열 안테나로 수신되는 신호

는 다음의 수학식 2와 같다.here,

Wow

Represents the velocity vector of each of the transmitting and receiving ends,

Is the unit vector formed by the l-th clutter patch and the transmitter,

Is the unit vector formed by the l-th clutter patch and the receiver,

Means wavelength. Signal received by a linear array antenna composed of M (M is an integer greater than 1) pulses and N (N is an integer greater than 1) elements

Is as shown in Equation 2 below.

는 백색 잡음으로서

을 따른다. 또한,

는 Kronecker 연산을 의미한다.

와

은 각각 도플러(Doppler) 지향(Steering) 벡터와 공간(Spatial) 지향 벡터로서, 각각 다음의 수학식 3과 수학식 4과 같이 표현될 수 있다.Here, the subscripts T and l denote targets and clutter patches, respectively,

Is white noise

Follows. Also,

Stands for Kronecker operation.

Wow

Is a Doppler (Steering) vector and a spatial (Spatial) oriented vector, respectively, and can be expressed as Equations 3 and 4 below, respectively.

와

는 l 번째 클러터 패치에 의해서 수신단에 수신되는 신호의 입사각과 수신단의 위치벡터를 각각 의미한다. 따라서, 수학식 2 우변의 첫 번째 항은 표적 신호이고, 두 번째 항은 표적과 동일 거리에 존재하는 클러터를 나타낸다. 레이더의 송수신 위치 정보와 이동에 대한 운용정보를 사전정보로 활용하면 CUT의 클러터

는 다음의 수학식 5와 같이 이론적으로 모델링하여 계산할 수 있다.here,

Wow

Denotes the incidence angle of the signal received at the receiving end by the l-th clutter patch and the position vector of the receiving end, respectively. Therefore, the first term on the right side of Equation 2 is the target signal, and the second term represents the clutter existing at the same distance as the target. CUT's clutter by using radar transmission/reception location information and movement information as advance information

Can be calculated by theoretically modeling as shown in Equation 5 below.

이라고 가정하기로 한다.At this time, since the statistical characteristics of the amplitude of the clutter are unknown,

Let's assume.

에 포함된 클러터는 레이더와 동일 거리에 존재하는 클러터와의 거리, 레이더 송수신기의 위치, 그리고 레이더 송수신기의 속도벡터에 의해서 결정되며 angle-Doppler 평면에서 보면 연속된 릿지(Ridge) 형태를 갖는다.Receive signal

The clutter included in is determined by the distance to the clutter existing at the same distance as the radar, the position of the radar transceiver, and the speed vector of the radar transceiver, and has a continuous ridge shape when viewed from the angle-Doppler plane.

2 shows the spectrum in the angle-Doppler plane of a signal received from a specific CUT containing a target signal. 3 shows the spectrum in the angle-Doppler plane of the clutter calculated using Equation 5.

2 and 3, a gradation bar on the right side of each of FIGS. 2 and 3 represents the power of a signal, and the unit is [dB].

The spectrum of the clutter shown in FIG. 2 changes the amplitude value of each angle-Doppler point constituting the clutter ridge according to the RCS (Rader Cross Section) value of the clutter patch, and also the clutter ridge by ICM of the clutter The spread phenomenon of occurs.

의 angle-Doppler 스펙트럼이 도시되어 있다. 도 2와 비교해보면 클러터 릿지의 형태는 유사하지만 수학식 5는 클러터의 ICM 정보가 포함되어 있지 않고

이라고 가정했기 때문에, 클러터 릿지의 퍼짐 정도나 각 클러터 패치마다 다른 RCS는 적절히 보여주지 못함을 확인할 수 있다. 따라서 클러터 릿지를 이루는 angle-Doppler 지점들의 진폭과 클러터 릿지의 퍼짐 정도를 추정하여 클러터를 억제하는 과정이 필요하다. 이를 위해 본 발명에서는 우선 클러터 릿지 후보군을 생성한 후, 실제 수신 신호(CUT 신호)와의 상관관계를 이용해서 클러터 신호를 생성하고 이어서 고유치 해석 과정을 통해서 클러터 성분을 제거하는 과정을 진행한다.3 shows the clutter of the CUT calculated using Equation 5

The angle-Doppler spectrum of is shown. Compared with FIG. 2, the shape of the clutter ridge is similar, but Equation 5 does not contain ICM information of the clutter.

Because it was assumed to be, it can be seen that the degree of spread of the clutter ridge or the different RCS for each clutter patch cannot be properly displayed. Therefore, it is necessary to suppress the clutter by estimating the amplitude of the angle-Doppler points constituting the clutter ridge and the degree of spread of the clutter ridge. To this end, in the present invention, first, a clutter ridge candidate group is first generated, then a clutter signal is generated using a correlation with an actual received signal (CUT signal), and then the clutter component is removed through an eigenvalue analysis process. .

의 도플러 주파수

을

로 대체함으로써 다음의 수학식 6과 같이 후보 클러터 신호를 생성할 수 있다.When comparing FIG. 2 and FIG. 3, the clutter ridge obtained from the prior information of FIG. 3 is at the same position as the clutter ridge of the actual received signal of FIG. 2, but it does not contain ICM, so the degree of spread is generally small. Therefore, if a clutter ridge in which only the Doppler frequency is increased or decreased from the clutter ridge obtained from the prior information can be a candidate group reflecting the actual clutter environment. That is, the clutter calculated using Equation 5

Doppler frequency of

of

By substituting with, a candidate clutter signal can be generated as shown in Equation 6 below.

는 쉬프트(Shift) 시키고자 하는 도플러 주파수 간격이고, i는

이고 K 는

를 만족하는 정수이다. 이때, 색인(index) i를 CUT 데이터에 존재하는 클러터 릿지와 동일하도록 범위를 한정하기 위해서 다음의 수학식 7의 조건과 같이 결정한다.here,

Is the Doppler frequency interval to be shifted, and i is

And K is

Is an integer that satisfies At this time, in order to limit the range of the index i to be the same as the clutter ridge existing in the CUT data, the condition of Equation 7 below is determined.

는 설계 변수로서

와

가 갖는 상관도의(Correlation) 경계값(Threshold)이고, ∥∥ 는 Norm 연산을 의미한다. 수학식 7로부터 모든 i 에 대한 후보 클러터 신호와 CUT 데이터에 포함된 클러터의 유사도를 통해 범위가 제한된 후보 클러터 신호를 결정한다.here,

Is a design variable

Wow

It is the threshold of the correlation that is possessed, and ∥ || means Norm operation. From Equation 7, a candidate clutter signal having a limited range is determined through similarity between the candidate clutter signals for all i and the clutter included in the CUT data.

의 공분산 행렬은 고유값 분해에 의해 다음의 수학식 8과 같이 표현될 수 있다.Clutter signal obtained using prior information

The covariance matrix of can be expressed as Equation 8 below by eigenvalue decomposition.

는 고유벡터(Eigenvector),

는 고유치(Eigen-value), N과 M은 각각 안테나 소자수와 펄스 수이다.

는 noise free이므로

이다. 따라서, CUT 신호

에서

에 해당하는 신호들을 다음의 수학식 9와 같이 제거한다.Where H is the hermitian operation,

Is the eigenvector,

Is the eigen-value, and N and M are the number of antenna elements and the number of pulses, respectively.

Is noise free, so

to be. Thus, the CUT signal

in

The signals corresponding to are removed as in Equation 9 below.

는 클러터 공분산 행렬

의 차원으로서,

을 만족한다. 사전 정보 신호로부터 생성한 후보 클러터 공간을 CUT 신호

에 내적하여 특정 공간에 존재하는 클러터 진폭을 추정하고, 제거 과정을 통해 클러터 신호를 억제할 수 있다.here,

Is the clutter covariance matrix

As a dimension of,

Is satisfied. CUT signal for candidate clutter space generated from prior information signal

It is possible to estimate the amplitude of the clutter existing in a specific space by dot product to and suppress the clutter signal through the removal process.

4 shows a correlation between CUT data and candidate clutter signals. 5 is an angle-Doppler spectrum of an output signal to which a clutter suppression algorithm according to an embodiment of the present invention is applied.

4 and 5, in order to verify the clutter removal method according to the present invention, a simulation result of verifying whether a target signal can be extracted from a final received signal by simulating a target and a clutter signal will be described.

Table 1 below summarizes the simulation variables of the target and clutter used in the simulation, and in order to model the clutter with abnormality and non-homogeneous characteristics, the amplitude of the clutter follows the correlated log-normal distribution and is applied to the ICM of the clutter. The Doppler characteristic generated by the Gaussian spectrum was modeled, and the Swerling 1 model was assumed for the RCS of the target signal.

와

상관도를 나타낸다.4 is for determining the i range in [Equation 7]

Wow

Shows the degree of correlation.

의 릿지가 커지기 때문에 수신 신호

와의 상관도가 감소한다. 이와 반대로 i 가 감소할수록 마찬가지로 상관도가 감소하지만 다시 상관도가 반등하는 구간을 도 4에서 확인할 수 있다. 이것은 생성된 클러터 릿지 일부와 angle-Doppler 평면에서

=-15Hz에 존재하는 표적 신호의 상관도에 때문에 발생하는 것으로서, 표적이 제거되지 않기 위해서는 표적 신호와의 상관도보다 크도록

를 설정해야 함을 확인할 수 있다. 따라서,

와 표적과의 상관도가 0.5~0.6 정도에 위치하므로,

가 표적과의 상관도보다 충분히 크도록

로 정하고 검증 과정을 진행하였다. as i increases

Because the ridge of the received signal

The correlation with and decreases. Conversely, as i decreases, the correlation decreases as well, but a section in which the correlation rebounds again can be seen in FIG. 4. This is part of the generated clutter ridge and the angle-Doppler plane

It is caused by the correlation of the target signal present at =-15Hz. In order not to remove the target, make it larger than the correlation with the target signal.

You can see that you need to set. therefore,

Since the correlation between the and target is located at about 0.5~0.6,

Is sufficiently greater than the degree of correlation with the target

And the verification process was carried out.

을 만족하는 모든 i에 대해서 클러터 억제 알고리즘을 적용한 출력 신호의 angle-Doppler 스펙트럼이다. 도 5로부터 표적 신호는 높은 신호 레벨을 유지하고 클러터 신호만 제거됨을 확인할 수 있다.5 is

It is the angle-Doppler spectrum of the output signal to which the clutter suppression algorithm is applied for all i that satisfy. It can be seen from FIG. 5 that the target signal maintains a high signal level and only the clutter signal is removed.

6 is a schematic block diagram of a radar receiving apparatus according to an embodiment of the present invention. 7 is a flowchart illustrating an operation of the clutter signal processor shown in FIG. 6.

6 and 7, the radar receiving apparatus 100 is a device capable of obtaining an output signal by removing clutter from a radar receiving signal by performing the clutter suppression algorithm described in FIGS. 1 to 5. As described above, the radar receiving apparatus 100 corresponds to a receiving end in a bistatic radar environment.

The radar receiving apparatus 100 may include a receiving unit 110 and a clutter signal processing unit 200. Each configuration of the radar receiving apparatus 100 is merely exemplary, and some configurations may be added or omitted as necessary. In addition, each component of the radar receiving apparatus 100 may be implemented by hardware, software, or a combination thereof.

The receiving unit 110 is configured to receive a radar reception signal, and may include a linear array antenna including M pulses and N elements. The receiving unit 110 may transmit a radar reception signal to the clutter signal processing unit 200.

The clutter signal processing unit 200 includes a pre-information acquisition unit 210, a clutter signal generation unit 220, a frequency range determination unit 230, a covariance matrix calculation unit 240, and a clutter signal suppression unit 250. Can include.

Each step (S10 to S50) shown in FIG. 7 corresponds to each component of the clutter signal processing unit 200, and hereinafter, the operation of each component of the clutter signal processing unit 200 will be described with reference to FIG. 7 To

)를 계산하기 위한 사전 정보를 획득할 수 있다(S10). 즉, 사전 정보는

라는 가정 아래 수학식 3의 도플러 지향 벡터와 수학식 4의 공간 지향 벡터를 통해 수학식 5에 따라 1차 클러터 신호를 계산하기 위한 파라미터들을 의미한다. 따라서, 사전 정보에는 속도 벡터

와

, 단위 벡터

와

, 파장

, 펄스 반복 주기(pulse repetition interval)

, 입사각

, 위치 벡터

가 포함될 수 있다. 이러한 사전 정보는 미리 저장되거나, 실시간으로 측정 또는 외부로부터 수신되는 정보일 수 있으나, 본 발명의 범위는 이에 한정되지 않는다.The prior information acquisition unit 210 is the first clutter signal (the clutter calculated by Equation 5).

It is possible to obtain prior information for calculating) (S10). That is, the dictionary information

Under the assumption that Equation 3 refers to parameters for calculating a first-order clutter signal according to Equation 5 through the Doppler-directed vector of Equation 3 and the space-oriented vector of Equation 4. Thus, the velocity vector in advance information

Wow

, Unit vector

Wow

, wavelength

, Pulse repetition interval

, Angle of incidence

, Position vector

May be included. Such pre-information may be stored in advance, measured in real time, or information received from the outside, but the scope of the present invention is not limited thereto.

The clutter signal generation unit 220 may receive advance information from the advance information acquisition unit 210 and generate a primary clutter signal according to Equation 5 (S20).

The clutter ridge of the primary clutter signal obtained from the prior information is located at the same position as the clutter ridge of the actual radar signal received, but it does not contain ICM, so the degree of spread is generally small. Therefore, if a clutter ridge in which only the Doppler frequency is increased or decreased from the clutter ridge of the primary clutter signal obtained from the prior information can be a candidate group reflecting the actual clutter environment.

의 도플러 주파수

을

로 대체하여 수학식 6에 의해 후보 클러터 신호를 생성할 수 있다. 이때, 쉬프트되는 도플러 주파수(변이 도플러 주파수)는 주파수 범위 결정부(230)에 의해 결정되어 제공될 수 있다.Therefore, the clutter signal generation unit 220 is the clutter calculated using Equation 5

Doppler frequency of

of

Substitute with Equation 6, a candidate clutter signal may be generated. In this case, the shifted Doppler frequency (variable Doppler frequency) may be determined and provided by the frequency range determination unit 230.

The frequency range determiner 230 may determine a shifted Doppler frequency for generating a candidate clutter signal according to Equation 6 (S30). The frequency range determination unit 230 may determine the candidate clutter signal with a limited range by determining the index i based on the similarity between the candidate clutter signal for all i and the clutter included in the radar received signal from Equation 7, The candidate clutter signal may have the same clutter ridge as the clutter ridge present in the radar received signal.

에 대해 고유값 분해를 통해 수학식 8에 따라 공분산 행렬을 계산할 수 있다(S40).The covariance matrix calculation unit 240 is a clutter signal calculated using the prior information.

The covariance matrix may be calculated according to Equation 8 through eigenvalue decomposition for (S40).

에 내적하여 특정 공간에 존재하는 클러터 진폭을 추정하고, 제거 과정을 통해 클러터 신호를 억제할 수 있다(S50).The clutter signal suppressor 250 is a radar reception signal according to Equation 9 for the candidate clutter space generated from the prior information.

The clutter amplitude existing in a specific space is estimated by the dot product of, and the clutter signal can be suppressed through a removal process (S50).

As described above, in the embodiment of the present invention, the clutter ridge structure that appears on the angle-Doppler spectrum for heterogeneous clutter occurring in a bistatic radar environment is analyzed and an algorithm for suppressing the clutter is presented. Derivation and simulation showed that the clutter was eliminated.

The clutter included in the actual received signal was generated from the prior information to estimate the clutter signal spaces spread by ICM, and the amplitude component was estimated by removing the estimated signal spaces by dot product from the received signal. Showed. Since the clutter suppression algorithm proposed in the present invention uses only CUT data, it is possible to solve the problem of lack of IID training data, and has the advantage of being able to be used even in a complex environment composed of various types of clutter.

The method described above can be implemented as computer-readable codes on a computer-readable recording medium. Computer-readable recording media include all types of recording media in which data that can be decoded by a computer system are stored. For example, there may be read only memory (ROM), random access memory (RAM), magnetic tape, magnetic disk, flash memory, optical data storage device, and the like. In addition, the computer-readable recording medium can be distributed to a computer system connected through a computer communication network, and stored and executed as code that can be read in a distributed manner.

In addition, although the above has been described with reference to a preferred embodiment of the present invention, those of ordinary skill in the relevant technical field can use the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims. It will be appreciated that various modifications and changes can be made.

Claims (9)

A clutter signal generator that generates a primary clutter signal using the prior information;
A frequency range determination unit estimating a frequency range of the primary clutter signal and determining a candidate clutter signal having a frequency range limited from the primary clutter signal in consideration of the frequency range; And
Clutter signal suppression that estimates the clutter amplitude by performing dot product calculation on the radar received signal using the covariance matrix of the candidate clutter signal, and suppresses the clutter signal of the radar received signal by considering the clutter amplitude Radar receiving device comprising a unit.
The method of claim 1,
The advance information is a radar reception device including a velocity vector and a unit vector of each of the radar transmission device and the radar reception device. delete A covariance matrix calculator that calculates a covariance matrix using a first-order clutter signal and a radar reception signal generated based on prior information; And
Radar including a clutter signal suppressor for estimating a clutter amplitude by performing a dot product operation on the radar received signal using the covariance matrix, and suppressing the clutter signal of the radar received signal in consideration of the clutter amplitude Receiving device.
The method of claim 4,
The advance information is a radar receiving device that is not related to training data. The method of claim 4,
A radar receiving device having characteristics of inhomogeneity and abnormality in the clutter included in the radar reception signal. A receiving unit for receiving a radar receiving signal including a clutter having non-homogeneous and abnormal characteristics;
A frequency range determination unit estimating a frequency range of the generated primary clutter signal using the prior information, and determining a candidate clutter signal having a frequency range limited from the primary clutter signal based on the frequency range; And
Clutter for estimating the clutter amplitude by performing dot product calculation on the radar received signal using the covariance covariance matrix of the candidate clutter signal, and suppressing the clutter signal of the radar received signal in consideration of the clutter amplitude Radar receiving device including a signal suppression unit.
The method of claim 7,
The radar receiving unit comprises a linear array antenna consisting of M (M is an integer greater than 1) pulses and N (N is an integer greater than 1) elements. The method of claim 7,
The advance information is a radar receiving device including a velocity vector and a unit vector of each of the radar transmitting device and the radar receiving device.

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