CN114265018A - Short-range clutter suppression method based on multi-frequency split radar - Google Patents
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Abstract
The invention discloses a short-range clutter suppression method based on a multi-frequency split radar, which comprises the following steps: obtaining clutter echo data based on a radar system of superposition step frequency; analyzing two-dimensional distribution according to the receiving space frequency and the Doppler frequency in the clutter echo data; finding out the relation between the emission space frequency and the fuzzy area; constructing a principal value distance compensation vector based on the relation between the emission space frequency and the fuzzy region to obtain compensated clutter echo data; constructing a blocking vector according to the compensated clutter echo data to obtain the blocked data of each fuzzy area; and (4) carrying out simultaneous equations on expressions of the blocked data of each fuzzy region to obtain clutter data of each fuzzy region. The invention has the advantages of only one transmitting array element, hardware cost saving, low calculation complexity, easy realization, low requirement on system parameters, no need of considering the condition of transmitting spatial frequency ambiguity, clutter separation and good inhibition effect.
Description
Technical Field
The invention belongs to the technical field of radar signal processing, and particularly relates to a short-range clutter suppression method based on a multi-frequency split system radar.
Background
The airborne radar is usually in the downward-looking work, the clutter is strong, due to the high-speed motion of the platform, the clutter has certain relative speed, the relative speed in different directions is different, and weak low-speed targets are submerged in the strong clutter, so that the performance of the radar is greatly reduced. Ground clutter echoes show correlation in both space and time dimensions, while interference is mainly correlated in angle, and signal to noise ratio (SCNR) can be effectively maximized by using space-time freedom. Space-time adaptive processing (STAP) involves adaptively adjusting a two-dimensional space-time filter response to maximize the output signal-to-noise ratio. By introducing the STAP algorithm into the airborne radar, the radar detection performance is improved.
In an airborne radar, clutter Doppler spread is serious, in order to avoid Doppler ambiguity as far as possible, a signal with a higher pulse repetition frequency is generally transmitted, but as is well known, the maximum unambiguous distance and the pulse repetition frequency are in inverse proportion, the higher pulse repetition frequency can bring a serious distance ambiguity problem, clutter in different ambiguity intervals can be superposed together at the moment, echo data of the clutter can not meet the independent and same-distribution condition any more, the direct application of the STAP can also suppress the notch broadening of the clutter factor, and the suppression performance of the STAP on the clutter can be remarkably reduced. For the non-ortholateral array, the distribution of the clutter has dependence on the distance, the dependence of the short-range clutter on the distance is very serious, and the dependence of the long-range clutter on the distance is relatively light.
Although some existing clutter compensation methods can reduce the distance dependency by compensating clutter data, when distance ambiguity is involved, the enhancement effect of the compensation methods on the STAP of the non-positive side array is not obvious due to different distance dependencies of different fuzzy areas.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a short-range clutter suppression method based on a multi-frequency split system radar. The technical problem to be solved by the invention is realized by the following technical scheme:
a short-range clutter suppression method based on a multi-frequency division radar, the short-range clutter suppression method comprising:
and 6, establishing a simultaneous equation set for the expressions of the blocked data of the fuzzy areas to obtain the clutter data of each fuzzy area.
In an embodiment of the present invention, the transmitting antennas are configured to transmit M orthogonal signals, each of the orthogonal signals transmits K pulses, there are N receiving antennas in total, and there are P fuzzy areas in total, then the clutter data received by the ith distance unit is:
wherein,
the transmitting space guide vector, the receiving space guide vector and the Doppler guide vector of the clutter echo data are respectively represented, and Nc represents the equivalent number of clutter sources in each range unit.
In one embodiment of the present invention, the two-dimensional distribution is:
wherein,
representing the received spatial frequency and the normalized Doppler frequency, respectively
The space-time two-dimensional steering vector of (a),Ra covariance matrix representing clutter echo data, L represents a total number of training samples, L represents an ith training sample,Hrepresenting a conjugate transpose, and the training samples represent clutter echo data at the ith range bin.
In one embodiment of the invention, the relationship between the transmit spatial frequency and the distance is:
wherein,
which represents the spatial frequencies of the reception of the signal,
the increment of the frequency is represented by,cthe speed of light is indicated and is,Rthe distance is represented as a function of time,
indicating a dominant distance, P indicating the number of blurred regions,
maximum unambiguous distance.
In one embodiment of the present invention, the principal value distance compensation vector is:
where M is the number of transmit waveforms.
In one embodiment of the present invention, the compensated clutter echo data is:
wherein,
representing an identity matrix of dimension N,
representing an identity matrix of dimension K.
In one embodiment of the present invention, the blur area includes a first blur area, a second blur area, a third blur area and a fourth blur area, wherein the step 4 includes:
step 4.1, compensating the dominant value distance of the first fuzzy area through the corresponding dominant value distance compensation vector to obtain clutter echo data after compensation in the first fuzzy area;
step 4.2, compensating the dominant value distance of the second fuzzy area through the corresponding dominant value distance compensation vector to obtain clutter echo data after compensation in the second fuzzy area;
4.3, compensating the dominant value distance of the third fuzzy area through the corresponding dominant value distance compensation vector to obtain clutter echo data after compensation in the third fuzzy area;
and 4.4, compensating the principal value distance of the fourth fuzzy area through the corresponding principal value distance compensation vector to obtain the clutter echo data after compensation in the fourth fuzzy area.
In one embodiment of the present invention, the step 5 comprises:
step 5.1, rearranging the compensated clutter echo data in the first fuzzy area, and constructing a first blocking vector to obtain data after the clutter echo data are blocked in the first fuzzy area;
step 5.2, rearranging the compensated clutter echo data in the second fuzzy area, and constructing a second blocking vector to obtain data after the clutter blocking in the second fuzzy area;
step 5.3, rearranging the compensated clutter echo data in the third fuzzy area, and constructing a third blocking vector to obtain data after the third fuzzy area blocks the clutter;
and 5.4, rearranging the compensated clutter echo data in the fourth fuzzy area, and constructing a fourth blocking vector to obtain data after the clutter blocking in the fourth fuzzy area.
In one embodiment of the present invention, the first occlusion vector is:
；
the second occlusion vector is:
the third occlusion vector is:
；
the fourth occlusion vector is:
；
the data after the clutter is blocked in the first fuzzy region is data;
the data after the clutter blocking of the second fuzzy region is data;
the data after the third fuzzy region blocks the clutter is;
the data after the fourth fuzzy region blocks the clutter is;
wherein,
the dimensions of the matrix are represented by,C1、C2、C3、C4the kronecker products of the received space steering vector and the doppler steering vector respectively corresponding to different fuzzy areas,
m denotes the mth transmit waveform, and p denotes the number of blur areas.
In an embodiment of the present invention, after the step 6, the method further includes:
and processing clutter data of the first fuzzy area by adopting a Doppler frequency shift compensation method, and then processing the clutter data compensated by the Doppler frequency shift compensation method in the first fuzzy area and the clutter data of the second fuzzy area, the third fuzzy area and the fourth fuzzy area by adopting a STAP algorithm so as to eliminate the clutter data of each fuzzy area.
The invention has the beneficial effects that:
the invention has the advantages of only one transmitting array element, low hardware cost, low calculation complexity, easy realization, low requirement on system parameters, no need of considering the fuzzy condition of transmitting spatial frequency, good clutter separation and good inhibition effect.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Drawings
Fig. 1 is a schematic flowchart of a short-range clutter suppression method based on a multi-frequency diversity radar according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of another short-range clutter suppression method based on a multi-frequency diversity radar according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the relationship between the transmission spatial frequency and the distance after the first blurring region compensation is performed according to an embodiment of the present invention;
FIG. 4a is a schematic diagram of the power spectrum distribution of clutter in the first fuzzy region after mixed clutter data separation according to an embodiment of the present invention;
FIG. 4b is a schematic diagram of the power spectrum distribution of clutter in the second fuzzy region after mixed clutter data separation according to an embodiment of the present invention;
FIG. 4c is a schematic diagram of the power spectrum distribution of clutter in the third fuzzy region after mixed clutter data separation according to an embodiment of the present invention;
FIG. 4d is a schematic diagram of the power spectrum distribution of clutter in the fourth fuzzy region after mixed clutter data separation according to an embodiment of the present invention;
FIG. 5a is a diagram illustrating the relationship between the improvement factor and the normalized Doppler frequency after STAP is performed on the data of the first blurred region after separation according to an embodiment of the present invention;
FIG. 5b is a diagram illustrating the relationship between the improvement factor and the normalized Doppler frequency after STAP is performed on the data of the second blurred region after separation according to the embodiment of the present invention;
FIG. 5c is a diagram illustrating the relationship between the improvement factor and the normalized Doppler frequency after STAP is performed on the data of the third blurred region directly after separation according to an embodiment of the present invention;
FIG. 5d is a diagram illustrating the relationship between the improvement factor and the normalized Doppler frequency after STAP is directly performed on the data of the fourth blurred region after separation according to the embodiment of the present invention;
fig. 6 is a schematic diagram of a clutter power spectrum distribution of the first blurred region after doppler shift compensation is performed on the first blurred region according to an embodiment of the present invention;
fig. 7 is a comparison graph of the relationship between the normalized doppler frequency and the improvement factor of the STAP performed after the first blurred region is compensated, and the STAP performed directly in the past.
Detailed Description
The present invention will be described in further detail with reference to specific examples, but the embodiments of the present invention are not limited thereto.
Example one
Referring to fig. 1 and fig. 2, fig. 1 is a schematic flow chart of a short-range clutter suppression method based on a multi-frequency system radar according to an embodiment of the present invention, and fig. 2 is a schematic flow chart of another short-range clutter suppression method based on a multi-frequency system radar according to an embodiment of the present invention. The embodiment of the invention provides a short-range clutter suppression method based on a multi-frequency split radar, which comprises the following steps:
and step 1, obtaining clutter echo data based on a radar system of superposition step frequency.
Specifically, setting a transmitting antenna to transmit M orthogonal signals, each of which transmits K pulses, N receiving antennas in total and P fuzzy areas in total, and then receiving clutter data by the ith distance unit:
wherein,
the transmitting space guide vector, the receiving space guide vector and the Doppler guide vector of the clutter echo data are respectively represented, and Nc represents the equivalent number of clutter sources in each range unit.
And 2, analyzing the two-dimensional distribution of the clutter echo data on the receiving space frequency and the Doppler frequency according to the receiving space frequency and the Doppler frequency in the clutter echo data.
Specifically, the property of the clutter may be determined according to the two-dimensional distribution, which is used as a basis for the property change of the clutter before and after the back compensation, and the two-dimensional power spectrum distribution of the clutter echo data is:
wherein,
representing the received spatial frequency and the normalized Doppler frequency, respectively
The space-time two-dimensional steering vector of (a),Ra covariance matrix representing clutter echo data, L represents a total number of training samples, L represents an ith training sample,Hrepresenting a conjugate transpose, and the training samples represent clutter echo data at the ith range bin.
And 3, obtaining the relation between the transmitting space frequency and the distance according to the transmitting space frequency of the clutter echo data so as to find out the relation between the transmitting space frequency and the fuzzy area.
In this embodiment, the mth transmission signal of the transmission array element can be expressed as:
wherein,
which represents the envelope of the transmitted signal,Ewhich represents the total power of the transmitted signal,Twhich represents the duration of the transmitted pulse or pulses,ta time variable is represented by a time variable,f m representing the carrier frequency of the mth transmitted signal. Assuming that the envelope of the transmitted signal satisfies the orthogonality condition, there are:
wherein,
which represents an arbitrary time delay, is,
it is indicated that the conjugate operation is performed,
representing the envelope of the signal.
Considering a far-field point source, the time delay for the nth unit to receive a signal transmitted via the far-field point source can be expressed as:
wherein,
which represents a common time delay, is,Rrepresenting the distance between the receiving array element to the far field point,cthe speed of light is indicated and is,
representing the time delay difference between the cells,
which is indicative of the speed of the platform,
representing the angle of the far field point.
The kth pulse received by the nth unit can be expressed as:
wherein,
representing the complex scattering coefficient of the point source. Taking into account the narrowband assumption, i.e.
Then the received signal is at
After matched filtering, it can be decomposed into:
wherein,
，
which is indicative of the carrier frequency,dthe space between the array elements is shown,
representing the doppler frequency of the point source,
which represents the wavelength of the light emitted by the light source,
representing the point source velocity. The receive snapshots in frequency diversity array MIMO can therefore be expressed in vector form as:
wherein,
the superscript T is the transpose operator,
is the product of Kronecker.
、
And
respectively representing transmit, receive steering vectors and time steering vectors, expressed as follows:
note here that:
in order to transmit the spatial frequencies,
，
the increment of the frequency is represented by,cthe speed of light is indicated and is,Rthe distance is represented as a function of time,
indicating a dominant distance, P indicating the number of blurred regions,
maximum unambiguous distance;
to accept spatial frequencies;
is the normalized doppler frequency.
And 4, constructing a principal value distance compensation vector based on the relation between the transmitting spatial frequency and the fuzzy region to obtain compensated clutter echo data, wherein fig. 3 is a schematic diagram of the relation between the transmitting spatial frequency and the distance after the first fuzzy region is compensated.
In this embodiment, the principal value distance compensation vector is:
where M is the number of transmit waveforms.
Preferably, the blur area includes a first blur area, a second blur area, a third blur area, and a fourth blur area. Then:
the principal value distance compensation vector of the first fuzzy area is as follows:
the principal value distance compensation vector of the second fuzzy area is as follows:
the principal value distance compensation vector of the third fuzzy area is as follows:
the principal value distance compensation vector of the fourth fuzzy area is as follows:
in a specific embodiment, step 4 may specifically include:
and 4.1, compensating the dominant value distance of the first fuzzy area through the corresponding dominant value distance compensation vector to obtain the clutter echo data compensated in the first fuzzy area.
Specifically, the dominant value distance of the first fuzzy region is compensated through the corresponding dominant value distance compensation vector, clutter echo data irrelevant to the dominant value distance are obtained, the clutter echo data at the moment are only relevant to the number of fuzzy regions, and the transmitting space frequency of the clutter of the first fuzzy region is a constant irrelevant to the number of channels.
And 4.2, compensating the dominant value distance of the second fuzzy area through the corresponding dominant value distance compensation vector to obtain the clutter echo data compensated in the second fuzzy area.
Specifically, the dominant value distance of the second fuzzy area is compensated through the corresponding dominant value distance compensation vector, and the transmitting spatial frequency of the clutter of the second fuzzy area is a constant independent of the number of channels.
And 4.3, compensating the dominant value distance of the third fuzzy area through the corresponding dominant value distance compensation vector to obtain the clutter echo data compensated in the third fuzzy area.
And 4.4, compensating the dominant value distance of the fourth fuzzy area through the corresponding dominant value distance compensation vector to obtain the clutter echo data compensated in the fourth fuzzy area.
In one embodiment, the clutter echo data after the dominant distance compensation is:
wherein,
representing an identity matrix of dimension N,
representing an identity matrix of dimension K.
And 5, constructing a blocking vector according to the compensated clutter echo data to obtain the blocked data of each fuzzy area.
In one embodiment, step 5 comprises:
and 5.1, rearranging the compensated clutter echo data in the first fuzzy area, and constructing a first blocking vector to obtain data after the clutter echo data are blocked in the first fuzzy area.
Specifically, one of the range units is selected, the clutter echo data is rearranged, a first blocking vector is constructed, and the clutter data of the first fuzzy area is eliminated from the clutter echo data.
After the principal distance compensation of the first fuzzy region, the clutter echo data can be represented again after being rearranged as:
wherein,
、
、
、
and respectively representing the emission spatial frequency of each of the four fuzzy areas after the first fuzzy area compensation.
The first occlusion vector is:
the data after the clutter is blocked in the first fuzzy region is as follows;
wherein,
representing data after the first blurred region blocks clutter.
And 5.2, rearranging the compensated clutter echo data in the second fuzzy area, and constructing a second blocking vector to obtain data after the clutter is blocked in the second fuzzy area.
Specifically, the same distance unit is selected, clutter echo data are rearranged, a second blocking vector is constructed again, and clutter data in a second fuzzy area are eliminated from the clutter echo data.
Wherein the second occlusion vector is:
the data after the clutter is blocked in the second fuzzy region is as follows;
wherein,
representing data after the second blurred region blocks clutter.
And 5.3, rearranging the compensated clutter echo data in the third fuzzy area, and constructing a third blocking vector to obtain data after the third fuzzy area blocks the clutter.
Wherein the third occlusion vector is:
the data after the third fuzzy region blocks the clutter is;
wherein,
representing data after the third blurred region blocks clutter.
And 5.4, rearranging the compensated clutter echo data in the fourth fuzzy area, and constructing a fourth blocking vector to obtain data after the clutter is blocked in the fourth fuzzy area.
Wherein the fourth occlusion vector is:
the data after the fourth fuzzy region blocks the clutter is;
wherein,
representing data after the fourth blurred region blocks clutter.
Wherein,
the dimensions of the matrix are represented by,C1、C2、C3、C4the kronecker products of the received space steering vector and the doppler steering vector respectively corresponding to different fuzzy areas,
m denotes the mth transmit waveform, and p denotes the number of blur areas.
And 6, establishing a simultaneous equation set for the expressions of the blocked data of each fuzzy area to obtain the clutter data of each fuzzy area.
And 7, traversing all the distance units to obtain clutter data of all the fuzzy areas, processing the clutter data of the first fuzzy area by adopting a Doppler frequency shift compensation method, and then processing the clutter data compensated by the Doppler frequency shift compensation method in the first fuzzy area and the clutter data of the second fuzzy area, the third fuzzy area and the fourth fuzzy area by adopting an STAP algorithm to eliminate the clutter data of each fuzzy area.
Next, the effect of the method for suppressing short-range clutter by using a multi-frequency division radar according to the present embodiment is further described through a simulation experiment.
The power spectrum distribution of the clutter after the clutter is separated by the method of the invention is shown in fig. 4a-4d, as can be seen from fig. 4a-4d, the distance dependency of the short-range clutter is more serious, which causes the power spectrum distribution to spread, while the distance dependency of the clutter of the other fuzzy areas is smaller, and the clutter distributions of different distances are almost the same, which is also the reason that the notch of the improvement factor of the first fuzzy area is wider and the clutter suppression performance is poorer in fig. 5a-5d, while the notch of the improvement factor of the other fuzzy areas by directly using the STAP is narrower, so that the clutter of the areas can be directly suppressed by using the STAP. Fig. 6 shows the clutter power spectrum distribution after applying the doppler shift compensation algorithm to the clutter in the first blurred region, and it can be clearly seen that the distribution of the mainlobe clutter is more concentrated. Fig. 7 is an improved factor graph obtained by using the STAP algorithm after compensation, the notch is already obviously narrowed, and the suppression effect is improved.
The invention has the advantages of only one transmitting array element, low hardware cost, low calculation complexity, easy realization, low requirement on system parameters, no need of considering the fuzzy condition of transmitting spatial frequency, good clutter separation and good inhibition effect.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic data point described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples described in this specification can be combined and combined by those skilled in the art.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A short-range clutter suppression method based on a multi-frequency division radar is characterized by comprising the following steps:
step 1, obtaining clutter echo data based on a radar system with superposed step frequency;
step 2, analyzing two-dimensional distribution of the clutter echo data on the receiving space frequency and the Doppler frequency according to the receiving space frequency and the Doppler frequency in the clutter echo data;
step 3, obtaining the relation between the transmitting space frequency and the distance according to the transmitting space frequency of the clutter echo data so as to find out the relation between the transmitting space frequency and the fuzzy area;
step 4, constructing a principal value distance compensation vector based on the relation between the emission space frequency and the fuzzy area to obtain compensated clutter echo data;
step 5, constructing a blocking vector according to the compensated clutter echo data to obtain the blocked data of each fuzzy area;
and 6, establishing a simultaneous equation set for the expressions of the blocked data of the fuzzy areas to obtain the clutter data of each fuzzy area.
2. The short-range clutter suppression method based on multi-band radar of claim 1, wherein the transmit antenna is configured to transmit M orthogonal signals, each of the orthogonal signals transmits K pulses, there are N receive antennas in total, and there are P fuzzy areas in total, then the clutter data received by the ith distance unit is:
wherein,
the transmitting space guide vector, the receiving space guide vector and the Doppler guide vector of the clutter echo data are respectively represented, and Nc represents the equivalent number of clutter sources in each range unit.
3. The short-range clutter suppression method based on multi-frequency division radar according to claim 1, wherein the two-dimensional distribution is:
wherein,
representing the received spatial frequency and the normalized Doppler frequency, respectively
The space-time two-dimensional steering vector of (a),Ra covariance matrix representing clutter echo data, L represents a total number of training samples, L represents an ith training sample,Hrepresenting a conjugate transpose, and the training samples represent clutter echo data at the ith range bin.
4. The short-range clutter suppression method based on multi-band radar according to claim 1, wherein the relationship between the transmit spatial frequency and the distance is:
wherein,
which represents the spatial frequencies of the reception of the signal,
the increment of the frequency is represented by,cthe speed of light is indicated and is,Rthe distance is represented as a function of time,
indicating a dominant distance, P indicating the number of blurred regions,
maximum unambiguous distance.
5. The short-range clutter suppression method based on multi-frequency division radar according to claim 4, wherein the principal value distance compensation vector is:
where M is the number of transmit waveforms.
6. The short-range clutter suppression method based on multi-frequency division radar according to claim 5, wherein the clutter echo data after compensation is:
wherein,I N representing an identity matrix of dimension N,I K representing an identity matrix of dimension K.
7. The short-range clutter suppression method based on multi-frequency diversity radar according to claim 6, wherein the fuzzy areas comprise a first fuzzy area, a second fuzzy area, a third fuzzy area and a fourth fuzzy area, wherein said step 4 comprises:
step 4.1, compensating the dominant value distance of the first fuzzy area through the corresponding dominant value distance compensation vector to obtain clutter echo data after compensation in the first fuzzy area;
step 4.2, compensating the dominant value distance of the second fuzzy area through the corresponding dominant value distance compensation vector to obtain clutter echo data after compensation in the second fuzzy area;
4.3, compensating the dominant value distance of the third fuzzy area through the corresponding dominant value distance compensation vector to obtain clutter echo data after compensation in the third fuzzy area;
and 4.4, compensating the principal value distance of the fourth fuzzy area through the corresponding principal value distance compensation vector to obtain the clutter echo data after compensation in the fourth fuzzy area.
8. The short-range clutter suppression method based on multi-frequency division radar according to claim 6, wherein said step 5 comprises:
step 5.1, rearranging the compensated clutter echo data in the first fuzzy area, and constructing a first blocking vector to obtain data after the clutter echo data are blocked in the first fuzzy area;
step 5.2, rearranging the compensated clutter echo data in the second fuzzy area, and constructing a second blocking vector to obtain data after the clutter blocking in the second fuzzy area;
step 5.3, rearranging the compensated clutter echo data in the third fuzzy area, and constructing a third blocking vector to obtain data after the third fuzzy area blocks the clutter;
and 5.4, rearranging the compensated clutter echo data in the fourth fuzzy area, and constructing a fourth blocking vector to obtain data after the clutter blocking in the fourth fuzzy area.
9. The short-range clutter suppression method based on multi-band radar according to claim 8, wherein the first blocking vector is:
；
the second occlusion vector is:
the third occlusion vector is:
；
the fourth occlusion vector is:
；
the data after the clutter is blocked in the first fuzzy region is data;
the data after the clutter blocking of the second fuzzy region is data;
the data after the third fuzzy region blocks the clutter is;
the data after the fourth fuzzy region blocks the clutter is;
wherein,
the dimensions of the matrix are represented by,C1、C2、C3、C4kronecker product of received space steering vector and doppler steering vector corresponding to different fuzzy areas
M denotes the mth transmit waveform, and p denotes the number of blur areas.
10. The short-range clutter suppression method based on multi-frequency division radar according to claim 7, further comprising, after said step 6:
and processing clutter data of the first fuzzy area by adopting a Doppler frequency shift compensation method, and then processing the clutter data compensated by the Doppler frequency shift compensation method in the first fuzzy area and the clutter data of the second fuzzy area, the third fuzzy area and the fourth fuzzy area by adopting a STAP algorithm so as to eliminate the clutter data of each fuzzy area.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104635214A (en) * | 2015-02-12 | 2015-05-20 | 西安电子科技大学 | Airborne forward-looking frequency diversity array radar distance fuzzy clutter suppression method |
| CN106569212A (en) * | 2016-11-09 | 2017-04-19 | 西安空间无线电技术研究所 | Multichannel SAR-GMTI range ambiguity clutter suppression method |
| CN108020817A (en) * | 2017-09-28 | 2018-05-11 | 西安电子科技大学 | Air-borne Forward-looking battle array radar clutter suppression method based on registration |
| CN109814070A (en) * | 2019-01-31 | 2019-05-28 | 西安电子科技大学 | Range ambiguity clutter suppression method based on false impulse |
| CN113253223A (en) * | 2021-03-30 | 2021-08-13 | 北京理工大学 | Target detection method for non-stationary clutter suppression based on step frequency signal |
| CN113376599A (en) * | 2021-01-19 | 2021-09-10 | 西安电子科技大学 | FDA distance fuzzy clutter suppression method based on mainlobe correction |
-
2022
- 2022-02-28 CN CN202210184291.9A patent/CN114265018B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104635214A (en) * | 2015-02-12 | 2015-05-20 | 西安电子科技大学 | Airborne forward-looking frequency diversity array radar distance fuzzy clutter suppression method |
| CN106569212A (en) * | 2016-11-09 | 2017-04-19 | 西安空间无线电技术研究所 | Multichannel SAR-GMTI range ambiguity clutter suppression method |
| CN108020817A (en) * | 2017-09-28 | 2018-05-11 | 西安电子科技大学 | Air-borne Forward-looking battle array radar clutter suppression method based on registration |
| CN109814070A (en) * | 2019-01-31 | 2019-05-28 | 西安电子科技大学 | Range ambiguity clutter suppression method based on false impulse |
| CN113376599A (en) * | 2021-01-19 | 2021-09-10 | 西安电子科技大学 | FDA distance fuzzy clutter suppression method based on mainlobe correction |
| CN113253223A (en) * | 2021-03-30 | 2021-08-13 | 北京理工大学 | Target detection method for non-stationary clutter suppression based on step frequency signal |
Non-Patent Citations (1)
| Title |
|---|
| 兰岚等: "波形分集阵列雷达抗干扰进展", 《***工程与电子技术》 * |
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