CN104868946A - Adaptive weighted interference suppression method of subarray level mixed MIMO-phased array system - Google Patents
Adaptive weighted interference suppression method of subarray level mixed MIMO-phased array system Download PDFInfo
- Publication number
- CN104868946A CN104868946A CN201510324632.8A CN201510324632A CN104868946A CN 104868946 A CN104868946 A CN 104868946A CN 201510324632 A CN201510324632 A CN 201510324632A CN 104868946 A CN104868946 A CN 104868946A
- Authority
- CN
- China
- Prior art keywords
- array
- vector
- virtual
- mimo
- interference
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
- H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Radio Transmission System (AREA)
- Variable-Direction Aerials And Aerial Arrays (AREA)
Abstract
An adaptive weighted interference suppression method of a subarray level mixed MIMO-phased array system belongs to the field of the subarray level mixed MIMO-phased array system and is used for solving the problem of adaptive interference suppression of the subarray level mixed MIMO-phased array system. The adaptive weighted interference suppression method of a subarray level mixed MIMO-phased array system of the invention comprises the steps as follows: firstly establishing the subarray level mixed MIMO-phased array system, obtaining an adaptive weight of the subarray level mixed MIMO-phased array system by using a steering vector of a virtual array and an estimated value of an interference and noise covariance matrix outputted by the virtual array, and weighting an interference and noise signal outputted by the virtual array of the subarray level mixed MIMO-phased array system so as to achieve the adaptive interference suppression of the subarray level mixed MIMO-phased array system.
Description
Technical field
The invention belongs to Subarray mixing MIMO-phased array system field.
Background technology
Subarray mixing MIMO-phased array system is by MIMO (Multiple-Input Multiple-Output, Multiple input-output) system and phased array system carry out the new system of one that combines, and it can overcome some limitations of existing mimo system and phased array system.
MIMO is a kind of emerging system, is study hotspot very active both at home and abroad at present.Its advantage is normally compared with traditional phased array system.Mimo system has greater advantage compared with phased array system, as better detection perform, higher directional resolution and estimated accuracy, and robustness etc. stronger under electronic countermeasures and multi-path environment.
But mimo system also has some limitations compared with phased array system, comprise: 1, each bay launches orthogonal signalling, do not possess the coherent processing gain of phased array system, thus produce beam shape loss, and performance declines to some extent when Target scatter section area declines.2, signal to noise ratio (SNR) loss is produced, affect target detection and Parameter Estimation Precision etc., although this SNR loss of mimo system compensates by increasing accumulated time, but due to limited Coherent processing time and propagation path loss etc. in application, this method has very large limitation.3, contemporary electronic systems often comprises hundreds of to thousands of bay, and as direct using MIMO system, then need much independently transmit and adopt thousands of digital channel at receiving terminal, this all cannot bear in hardware cost and algorithm computing cost; And for obtaining suitable transmitting, need the optimization problem huge to dimension solve.
Subarray mixing MIMO-phased array system overcomes the above-mentioned limitation of mimo system, effectively can reduce hardware cost and computing cost.It, while maintenance mimo system has superiority, also has the ability of the coherent processing gain of phased array system.But Subarray mixing MIMO-phased array system also just begins one's study at present, a lot of problem is had to need to solve, the problem of such as adaptive interference mitigation.
Summary of the invention
The present invention is the problem of the adaptive interference mitigation in order to solve Subarray mixing MIMO-phased array system, now provides the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system.
The disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system, the method is:
Set up Subarray mixing MIMO-phased array system, this system comprises launches battle array and receives battle array, and transmitting battle array is identical with the structure receiving battle array, receive battle array and comprise N number of array element, this N number of array element is divided into L submatrix, the distance of adjacent two array elements is half operation wavelength, and the interference plus noise signals of the output of each submatrix all carries out matched filtering by L matched filter, N and L is positive integer;
If the array element level guiding vector receiving battle array is
the submatrix transition matrix of array is T, utilizes the submatrix transition matrix T of array and receives the array element level guiding vector of battle array
obtain the guiding vector receiving battle array
according to the guiding vector receiving battle array
obtain the guiding vector of virtual array
wherein θ represents the angle of pitch,
represent azimuth;
K sampling is carried out to the interference plus noise signals that virtual array exports, if the interference plus noise vector that the virtual array of kth time sampling acquisition exports is y
v(k), the interference plus noise utilizing this virtual array to export vector y
vk () is estimated the interference-plus-noise covariance matrix that virtual array exports, obtain the valuation of the interference-plus-noise covariance matrix that virtual array exports
wherein 1≤k≤K;
Utilize the guiding vector of virtual array
with the valuation of the interference-plus-noise covariance matrix that virtual array exports
obtain the adaptive weight w of Subarray mixing MIMO-phased array system;
Utilize adaptive weight w to be weighted the interference plus noise signals that the virtual array of Subarray mixing MIMO-phase array exports, and then realize the adaptive interference mitigation of Subarray mixing MIMO-phased array system.
The disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system of the present invention, can suppress interference adaptively, and the Signal to Interference plus Noise Ratio that system is exported reaches maximum at the receiving terminal of Subarray mixing MIMO-phase array.
Accompanying drawing explanation
Fig. 1 is the Subarray partition figure of array in Subarray mixing MIMO-phased array system;
Fig. 2 is the structural representation of receiving terminal in Subarray mixing MIMO-phased array system;
Fig. 3 is the flow chart of the preparation method of the adaptive weight of Subarray mixing MIMO-phased array system.
Embodiment
Embodiment one: illustrate present embodiment, the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in present embodiment with reference to Fig. 1, Fig. 2 and Fig. 3, the method is:
Set up Subarray mixing MIMO-phased array system, this system comprises launches battle array and receives battle array, and transmitting battle array is identical with the structure receiving battle array, receive battle array and comprise N number of array element, this N number of array element is divided into L submatrix, the distance of adjacent two array elements is half operation wavelength, and the interference plus noise signals of the output of each submatrix all carries out matched filtering by L matched filter, N and L is positive integer;
If the array element level guiding vector receiving battle array is
the submatrix transition matrix of array is T, utilizes the submatrix transition matrix T of array and receives the array element level guiding vector of battle array
obtain the guiding vector receiving battle array
according to the guiding vector receiving battle array
obtain the guiding vector of virtual array
wherein θ represents the angle of pitch,
represent azimuth;
K sampling is carried out to the interference plus noise signals that virtual array exports, if the interference plus noise vector that the virtual array of kth time sampling acquisition exports is y
v(k), the interference plus noise utilizing this virtual array to export vector y
vk () is estimated the interference-plus-noise covariance matrix that virtual array exports, obtain the valuation of the interference-plus-noise covariance matrix that virtual array exports
wherein 1≤k≤K;
Utilize the guiding vector of virtual array
with the valuation of the interference-plus-noise covariance matrix that virtual array exports
obtain the adaptive weight w of Subarray mixing MIMO-phased array system;
Utilize adaptive weight w to be weighted the interference plus noise signals that the virtual array of Subarray mixing MIMO-phase array exports, and then realize the adaptive interference mitigation of Subarray mixing MIMO-phased array system.
Array in Subarray mixing MIMO-phased array system in present embodiment adopts planar phased array, receives/send out to share.If array comprises N number of array element, and array element distance is half wavelength lambda/2, array adopts subarray configuration, if array partition is L submatrix, and transmitting battle array has identical subarray configuration with reception battle array, Fig. 1 provides the Subarray partition structure of array in Subarray mixing MIMO-phased array system.In present embodiment, array and submatrix shape are arbitrary, and Fig. 1 is all that rectangle battle array is described for array and submatrix.
In the transmitting battle array of Subarray mixing MIMO-phase array, each submatrix internal emission coherent signal, works in phase array pattern; And between different submatrixs, launch orthogonal signalling, work in MIMO mode.
At the receiving terminal of Subarray mixing MIMO-phase array, apply space domain self-adapted interference mitigation technology, make directional diagram form zero at interference radiating way and fall into, thus suppress interference adaptively.Receive battle array and comprise phase shifter, for controlling beam position.(as Taylor weighting) is weighted for the sidelobe level suppressing receiving pattern to the output signal of each array element.Receive in battle array, adjacent array element forms some submatrixs (submatrix adds up to L) by submatrix comprise network.The output of each submatrix by matched filter banks, to carry out matched filtering.Owing to there being L to transmit (systems radiate end has L submatrix, and each submatrix launches orthogonal signalling), thus each matched filter banks all has L matched filter.Due to the effect of matched filter banks, system receiving terminal defines a virtual array.
For suppressing interference adaptively, the interference plus noise signals that each matched filter exports need be weighted, the interference plus noise signals that described interference plus noise signals and virtual array export, thus need L altogether
2individual adaptive weight.In present embodiment, adaptive weight adopts LCMV (Linearly Constrained Minimum Variance, linear constraint minimal variance) criterion, the Signal to Interference plus Noise Ratio that namely makes system the export ratio of the power of interference plus noise (signal with) is maximum, namely has optimum adaptive interference mitigation performance.
Embodiment two: present embodiment is described further the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in embodiment one, in present embodiment, the array element level guiding vector receiving battle array is
preparation method be:
If the 1st array element is positioned at the origin of coordinates, i.e. reference array element in reception battle array, the coordinate of the n-th array element is (xn, yn), wherein n=1 ..., N, order
the projection of unit vector in x direction in direction
the projection of unit vector in y direction in direction
if the phase shift value of the n-th array element
for:
In formula, λ is operation wavelength, then the array element level guiding vector receiving battle array is:
The scope of said n is 1≤n≤N.
In present embodiment, receive the array element level guiding vector of battle array
be a N dimensional vector, in formula
trepresent transposition.
Embodiment three: present embodiment is described further the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in embodiment one, in present embodiment, obtains the guiding vector receiving battle array according to following formula
In present embodiment, the submatrix transition matrix T of array is that N × L ties up matrix, reflects the characteristic of submatrix, is jointly determined by the phase shift of subarray configuration and each array element and amplitude weighting value.Receive the guiding vector of battle array
for L dimensional vector.
Embodiment four: present embodiment is described further the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in embodiment one, in present embodiment, obtains the guiding vector of virtual array according to following formula
In formula, q=[1,1 ..., 1]
t l × 1be a L dimensional vector, each element value is 1,
represent that Kronecker amasss.
In present embodiment, due to q=[1,1 ..., 1]
t l × 1be a L dimensional vector, and
represent Kronecker long-pending (tensor product), thus
a L
2the column vector of dimension.
Embodiment five: present embodiment is described further the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in embodiment one, in present embodiment, the interference plus noise vector that the virtual array of acquisition exports is y
vk the method for () is:
If the interference plus noise vector that the interference plus noise that all array element exports is formed is y
elek (), utilizes interference plus noise vector y
elethe interference plus noise vector that k submatrix that () obtains exports is y (k)=T
hy
ele(k), wherein (1≤k≤K);
If the unit function res of each matched filter is respectively h
1(k), h
2(k) ..., h
lk (), wherein the unit function res of l matched filter is h
l(k):
Wherein, 1≤l≤L, f
lk () is for launching transmitting of battle array l submatrix, k
0for constant and be positive integer,
*represent and get conjugation;
If the output signal of l submatrix is y in reception battle array
lk (), then by the output y after l matched filter
v_ll(k) be:
y
V_ll(k)=h
l(k)οy
l(k)
By the interference plus noise vector y of secondary for the kth virtual array output obtained of sampling
vk () represents, ο represents convolution algorithm.
The secondary matched filter obtained of sampling of kth exports the signal y of (namely virtual array exports)
v_llk () has L
2individual, 1≤l≤L, 1≤l≤L, constitutes the interference plus noise vector y that virtual array exports
v(k).
In present embodiment, the output signal of each submatrix is all by a matched filter banks, and as shown in Figure 2, the output signal of matched filter is the output of virtual array, and the output of each submatrix is all by L matched filter.
Due to total N number of array element, therefore y
elek () is a N dimensional vector, y (k) is a L dimensional vector.
Above-mentioned interference plus noise vector is y
elethe interference plus noise vector that k interference plus noise value that the secondary corresponding array element of sampling of () and kth exports is formed.
Embodiment six: present embodiment is described further the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in embodiment one, in present embodiment, following formula is utilized to obtain the valuation of the interference-plus-noise covariance matrix that virtual array exports
In present embodiment, K sampling is carried out to reception data, utilize the y obtained that samples for each time
vk (), estimates the interference-plus-noise covariance matrix that virtual array exports, obtain
k is hits,
hrepresent conjugate transpose, thus
be a L
2× L
2the square formation of dimension.
Embodiment seven: present embodiment is described further the disturbance restraining method of the adaptive weighted Subarray mixing MIMO-phased array system described in embodiment one, in present embodiment, following formula is utilized to obtain the adaptive weight w of Subarray mixing MIMO-phased array system:
Wherein, μ is constant, if the beam position of array is
then
for virtual array is at the guiding vector at beam position place.
The optimum adaptive weight of Subarray is a L
2the column vector of dimension, it obtains based on LCMV criterion; Virtual array is at the guiding vector at beam position place
also be L
2the column vector of dimension.
Claims (7)
1. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system, it is characterized in that, the method is:
Set up Subarray mixing MIMO-phased array system, this system comprises launches battle array and receives battle array, and transmitting battle array is identical with the structure receiving battle array, receive battle array and comprise N number of array element, this N number of array element is divided into L submatrix, the distance of adjacent two array elements is half operation wavelength, and the interference plus noise signals of the output of each submatrix all carries out matched filtering by L matched filter, N and L is positive integer;
If the array element level guiding vector receiving battle array is
the submatrix transition matrix of array is T, utilizes the submatrix transition matrix T of array and receives the array element level guiding vector of battle array
obtain the guiding vector receiving battle array
according to the guiding vector receiving battle array
obtain the guiding vector of virtual array
wherein θ represents the angle of pitch,
represent azimuth;
K sampling is carried out to the interference plus noise signals that virtual array exports, if the interference plus noise vector that the virtual array of kth time sampling acquisition exports is y
v(k), the interference plus noise utilizing this virtual array to export vector y
vk () is estimated the interference-plus-noise covariance matrix that virtual array exports, obtain the valuation of the interference-plus-noise covariance matrix that virtual array exports
wherein 1≤k≤K;
Utilize the guiding vector of virtual array
with the valuation of the interference-plus-noise covariance matrix that virtual array exports
obtain the adaptive weight w of Subarray mixing MIMO-phased array system;
Utilize adaptive weight w to be weighted the interference plus noise signals that the virtual array of Subarray mixing MIMO-phase array exports, and then realize the adaptive interference mitigation of Subarray mixing MIMO-phased array system.
2. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system according to claim 1, is characterized in that, the array element level guiding vector receiving battle array is
preparation method be:
If the 1st array element is positioned at the origin of coordinates, i.e. reference array element in reception battle array, the coordinate of the n-th array element is (x
n, y
n), wherein n=1 ..., N, order
the projection of unit vector in x direction in direction
the projection of unit vector in y direction in direction
if the phase shift value of the n-th array element
for:
In formula, λ is operation wavelength, then the array element level guiding vector receiving battle array is:
The scope of said n is 1≤n≤N.
3. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system according to claim 1, is characterized in that, obtains the guiding vector receiving battle array according to following formula
4. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system according to claim 1, is characterized in that, obtains the guiding vector of virtual array according to following formula
In formula, q=[1,1 ..., 1]
t l × 1be a L dimensional vector, each element value is 1,
represent that Kronecker amasss.
5. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system according to claim 1, is characterized in that, the interference plus noise vector that the virtual array of acquisition exports is y
vk the method for () is:
If the interference plus noise vector that the interference plus noise that all array element exports is formed is y
elek (), utilizes interference plus noise vector y
elethe interference plus noise vector that k submatrix that () obtains exports is y (k)=T
hy
ele(k), wherein 1≤k≤K;
If the unit function res of each matched filter is respectively h
1(k), h
2(k) ..., h
lk (), wherein the unit function res of l matched filter is h
l(k):
h
l(k)=f
l *(k
0-k)
Wherein, 1≤l≤L, f
lk () is for launching transmitting of battle array l submatrix, k
0for constant and be positive integer,
*represent and get conjugation;
If the output signal of l submatrix is y in reception battle array
lk (), then by the output y after l matched filter
v_ll(k) be:
y
V_ll(k)=h
l(k)оy
l(k)
By the interference plus noise vector y of secondary for the kth virtual array output obtained of sampling
vk () represents, o represents convolution algorithm.
6. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system according to claim 1, is characterized in that, utilizes following formula to obtain the valuation of the interference-plus-noise covariance matrix that virtual array exports
Wherein,
hrepresent conjugate transpose.
7. the disturbance restraining method of adaptive weighted Subarray mixing MIMO-phased array system according to claim 1, is characterized in that, utilizes following formula to obtain the adaptive weight w of Subarray mixing MIMO-phased array system:
Wherein, μ is constant, if the beam position of array is
then
for virtual array is at the guiding vector at beam position place.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510324632.8A CN104868946B (en) | 2015-06-12 | 2015-06-12 | The disturbance restraining method of adaptive weighted Subarray mixing MIMO phased array systems |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510324632.8A CN104868946B (en) | 2015-06-12 | 2015-06-12 | The disturbance restraining method of adaptive weighted Subarray mixing MIMO phased array systems |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104868946A true CN104868946A (en) | 2015-08-26 |
CN104868946B CN104868946B (en) | 2017-11-17 |
Family
ID=53914500
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510324632.8A Active CN104868946B (en) | 2015-06-12 | 2015-06-12 | The disturbance restraining method of adaptive weighted Subarray mixing MIMO phased array systems |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104868946B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105093204A (en) * | 2015-07-27 | 2015-11-25 | 哈尔滨工业大学 | Subarray level mixing MIMO-phased array system |
CN109905158A (en) * | 2019-03-13 | 2019-06-18 | 哈尔滨工业大学 | The design method of even power broadband signal Adaptive beamformer best initial weights |
CN110266363A (en) * | 2019-06-26 | 2019-09-20 | 电子科技大学 | A kind of distributed diffusion self-adapting anti-jamming method based on tensor |
CN111786707A (en) * | 2020-07-01 | 2020-10-16 | 清华大学 | Cross antenna array interference suppression method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040127260A1 (en) * | 1998-05-01 | 2004-07-01 | Tibor Boros | Determining a spatial signature using a robust calibration signal |
CN102508213A (en) * | 2011-11-04 | 2012-06-20 | 西安电子科技大学 | Wavebeam domain adaptive interference suppression method based on null trough widening |
CN103257344A (en) * | 2013-05-03 | 2013-08-21 | 河海大学 | Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target |
CN103760529A (en) * | 2013-12-06 | 2014-04-30 | 河海大学 | Efficient cascading space-time adaptive processing method based on passive detection |
CN104270179A (en) * | 2014-09-12 | 2015-01-07 | 北京理工大学 | Self-adaptive beam forming method based on covariance reconstruction and guide vector compensation |
-
2015
- 2015-06-12 CN CN201510324632.8A patent/CN104868946B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040127260A1 (en) * | 1998-05-01 | 2004-07-01 | Tibor Boros | Determining a spatial signature using a robust calibration signal |
CN102508213A (en) * | 2011-11-04 | 2012-06-20 | 西安电子科技大学 | Wavebeam domain adaptive interference suppression method based on null trough widening |
CN103257344A (en) * | 2013-05-03 | 2013-08-21 | 河海大学 | Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target |
CN103760529A (en) * | 2013-12-06 | 2014-04-30 | 河海大学 | Efficient cascading space-time adaptive processing method based on passive detection |
CN104270179A (en) * | 2014-09-12 | 2015-01-07 | 北京理工大学 | Self-adaptive beam forming method based on covariance reconstruction and guide vector compensation |
Non-Patent Citations (1)
Title |
---|
刘鹏: "基于子阵级阵列处理的自适应检测方法研究", 《硕士学位论文集》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105093204A (en) * | 2015-07-27 | 2015-11-25 | 哈尔滨工业大学 | Subarray level mixing MIMO-phased array system |
CN109905158A (en) * | 2019-03-13 | 2019-06-18 | 哈尔滨工业大学 | The design method of even power broadband signal Adaptive beamformer best initial weights |
CN109905158B (en) * | 2019-03-13 | 2022-05-20 | 哈尔滨工业大学 | Design method for self-adaptive beam forming optimal weight of uniform power broadband signal |
CN110266363A (en) * | 2019-06-26 | 2019-09-20 | 电子科技大学 | A kind of distributed diffusion self-adapting anti-jamming method based on tensor |
CN110266363B (en) * | 2019-06-26 | 2021-09-24 | 电子科技大学 | Tensor-based distributed diffusion self-adaptive anti-interference method |
CN111786707A (en) * | 2020-07-01 | 2020-10-16 | 清华大学 | Cross antenna array interference suppression method and system |
CN111786707B (en) * | 2020-07-01 | 2021-10-26 | 清华大学 | Cross antenna array interference suppression method and system |
Also Published As
Publication number | Publication date |
---|---|
CN104868946B (en) | 2017-11-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101369014B (en) | Bilateral constraint self-adapting beam forming method used for MIMO radar | |
CN102213761B (en) | Multi-target location method of bistatic common-address multi-input-multi-output radar | |
CN102156279B (en) | Method for detecting moving target on ground by utilizing bistatic radar based on MIMO (Multiple Input Multiple Output) | |
CN104698430B (en) | It is a kind of for carrying the high-precision angle estimating method based on virtual antenna array | |
CN103969633B (en) | In clutter, detect the grading design method of target MIMO radar emission waveform | |
He et al. | Joint DOD and DOA estimation for MIMO array with velocity receive sensors | |
CN102707264A (en) | Estimating method of direction of arrival of bistatic MIMO (Multi-Input Multi-Output) radar based on circular array | |
CN103412286B (en) | Transmitting polarization optimizing DOA (direction of arrival) evaluation method based on MIMO (multiple-input multiple-output) radar | |
CN101251597A (en) | Method for self-correction of array error of multi-input multi-output radar system | |
CN109991577A (en) | Low intercepting and capturing based on FDA-OFDM emit Design of Signal method | |
CN101581782B (en) | Method for inhibiting ionospheric clutter in portable high frequency groundwave radar | |
CN105785328A (en) | Subarray-division-based FDA distance-angle decoupling wave beam formation method | |
CN103076596A (en) | Prior-information-based method for designing transmitting direction diagram of MIMO (Multiple Input Multiple Output) radar | |
CN109471086A (en) | Relatively prime MIMO radar Wave arrival direction estimating method based on more sampling snap sum aggregate array signal discrete Fourier transforms | |
CN101644760B (en) | Rapid and robust method for detecting information source number suitable for high-resolution array | |
CN102841335B (en) | Iterative FFT-based quick MIMO radar waveform synthesis method | |
CN104868946A (en) | Adaptive weighted interference suppression method of subarray level mixed MIMO-phased array system | |
CN108683619A (en) | A kind of extensive mimo channel method for parameter estimation of low complex degree | |
CN111880198B (en) | Space-time polarization anti-interference method based on alternating polarization sensitive array | |
CN111830482A (en) | FDA radar target positioning method based on agile OFDM | |
CN103217671B (en) | Multi-input and multi-output fast estimation method for radar receiving and transmitting angles under color-noise environment | |
CN106324602A (en) | MIMO sonar system | |
CN103323810B (en) | L-array azimuthal angle and pitch angle paired signal processing method | |
CN113075649B (en) | Signal level direct positioning method suitable for distributed networked radar | |
CN114114188A (en) | FDA radar communication integrated waveform design method with low side lobe |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
EXSB | Decision made by sipo to initiate substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |