CN101902432A - Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system - Google Patents

Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system Download PDF

Info

Publication number
CN101902432A
CN101902432A CN201010237523XA CN201010237523A CN101902432A CN 101902432 A CN101902432 A CN 101902432A CN 201010237523X A CN201010237523X A CN 201010237523XA CN 201010237523 A CN201010237523 A CN 201010237523A CN 101902432 A CN101902432 A CN 101902432A
Authority
CN
China
Prior art keywords
fully
complementary sequence
mimo radar
complementary
matrix
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
Application number
CN201010237523XA
Other languages
Chinese (zh)
Other versions
CN101902432B (en
Inventor
陈杰
李树锋
周荫清
张履谦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beihang University
Original Assignee
Beihang University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beihang University filed Critical Beihang University
Priority to CN 201010237523 priority Critical patent/CN101902432B/en
Publication of CN101902432A publication Critical patent/CN101902432A/en
Application granted granted Critical
Publication of CN101902432B publication Critical patent/CN101902432B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Radio Transmission System (AREA)

Abstract

The invention discloses a method for establishing and optimizing a fully-complementary sequence in an orthogonal MIMO radar system, which is used in the orthogonal MIMO radar system. The method comprises the following steps of: firstly, setting an iteration number and an initial complementary sequence, and establishing the fully-complementary sequence by adopting an iteration method; secondly, selecting a suitable full-complementary sequence as a transmission signal according to antenna data in the orthogonal MIMO radar system; and finally, optimizing the selected full-complementary sequence according to clutter characteristics in the orthogonal MIMO radar system, and using the optimized full-complementary sequence as the final transmission signal. The method adopts the full-complementary sequence to construct orthogonal MIMO radar transmission signals, and finds the transmission signal capable of making mutual information amount be the largest through optimization so as to improve the mutual information amount.

Description

Fully-complementary sequence makes up and optimization method in a kind of orthogonal MIMO radar system
Technical field
The invention belongs to the Radar Technology field, the structure and the optimization method of fully-complementary sequence in particularly a kind of orthogonal MIMO radar.
Background technology
Multiple-input and multiple-output (MIMO, Multiple-Input Multiple-Output) technology is at first invented by Bell Laboratory the nineties in 20th century at wireless communication field, and mimo wireless communication is divided into the technology of utilizing Space Time Coding to improve signal to noise ratio and sends two kinds of main modes of technology that different information improve transmission rate simultaneously with many antennas.Along with the research of MIMO communication system, people have proposed the notion of MIMO radar again.
The notion of orthogonal MIMO radar is proposed by the Lincoln laboratory at first, the orthogonal MIMO radar is at the mutually orthogonal waveform of transmitting terminal emission, compare with traditional phased array radar, have good advantages at aspects such as wide search wave beam formation, low probability of intercept (LPI), clutter inhibition.
The orthogonal MIMO radar has above-mentioned many advantages, since coming out, just be subjected to the common concern of Chinese scholars, for this New System radar of orthogonal MIMO radar, because the mutually orthogonal waveform collection of each transmission antennas transmit, receiving terminal recovers each component that transmits by matched filter processing, and therefore the design that transmits has directly influenced the systematic function of MIMO radar.In order to suppress to disturb and improve multiple target resolution, have good correlation function between requiring to transmit, preferably satisfy complete quadrature, promptly the non-periodic autocorrelation function secondary lobe is that zero-sum cross-correlation function aperiodic main lobe and secondary lobe are zero.The MIMO radar mainly adopts quadrature polyphase code and orthogonal frequency coding at present, though the correlation function of above-mentioned two classes coding has lower side lobe performance, but still can not satisfy complete quadrature between transmitting, theoretical research shows that it is non-existent satisfying completely orthogonal sequence in traditional solid size field.Because fully-complementary sequence is made up of a plurality of subsequences, and between the subsequence relation of quadrature, just in time coincide, thereby a new research direction has been opened up in the selection that appears as the orthogonal MIMO radar signal of fully-complementary sequence with the many signals and the orthogonality of the requirement of orthogonal MIMO radar.
Mutual information is important in an orthogonal MIMO theory system index, and the mutual information of system is big more, and the useful information amount of extracting from system is also just many more.Because the complex characteristics of orthogonal MIMO Radar channel, different clutter types can change the size of mutual information, in order to improve mutual information, we can improve the characteristic of channel from the angle of signal, promptly are optimized processing to transmitting to obtain optimum systematic function.
Summary of the invention
The invention provides fully-complementary sequence structure and optimization method in a kind of orthogonal MIMO radar system, purpose is adopting fully-complementary sequence to construct aspect the orthogonal MIMO radar emission signal, and the fully-complementary sequence of being constructed has been realized the raising of channel capacity through optimizing.
The structure of fully-complementary sequence and optimization method in a kind of orthogonal MIMO radar system specifically may further comprise the steps:
Step 1, according to the demand of actual orthogonal MIMO radar, be provided for the iterations r that fully-complementary sequence makes up, require constructed complementary series number 2 R+1Be greater than or equal number of transmit antennas in the orthogonal MIMO radar system; Wherein, r is the integer greater than 0;
The number of phases of step 2, setting fully-complementary sequence is provided with initial complementary series { A 0, B 0, A in the set initial complementary series 0With B 0Complementary;
Step 3, employing iterative method make up fully-complementary sequence;
Described iterative method is the process of a recurrence, by { A 0, B 0Can construct two pairs of fully-complementary sequences: { A 0B 0A 0-B 0And
Figure BSA00000205855600022
With
Figure BSA00000205855600023
Again will be wherein each fully-complementary sequence proceed iteration and go down iteration r time;
Step 4, according to antenna data in the orthogonal MIMO radar system, select fully-complementary sequence; The fully-complementary sequence number of described selection is identical with number of transmit antennas;
Step 5, the fully-complementary sequence of step 4 being chosen according to noise performance in the orthogonal MIMO radar system are optimized;
According to following channel capacity formula fully-complementary sequence is optimized:
I ( h ; y ) = N · lg [ det ( E 2 L + δ h 2 P - 1 2 SS H P - 1 2 )
= N · lg [ det ( E M + δ h 2 S H P - 1 S ) ]
Wherein, I (h; Y) expression mutual information, h represents channel matrix,
Figure BSA00000205855600026
y 1... y NBe respectively the 1st to N the echo that receiver receives, N is the reception antenna number, and T represents the transposition computing; E is a unit matrix; Subscript H represents conjugate transpose; P is the distribution matrix of noise signal v; L represents the code element number of sequence, equals the sub-sequence length of complementary series;
Figure BSA00000205855600027
The variance yields of expression channel; M is the number of transmit antennas of orthogonal MIMO radar;
The matrix S that is made of fully-complementary sequence is:
Figure BSA00000205855600028
Wherein
Figure BSA00000205855600029
Figure BSA000002058556000210
{ S Am, S BmBe the complementary series of choosing in the step 4,1≤m≤M;
When noise signal v is relevant, according to (ψ S) HP -1(ψ S)=S HHP -1ψ) S=Λ, the ψ S that obtains are the fully-complementary sequence matrixes after optimizing;
That wherein, hints obliquely at matrix ψ asks method as follows:
Because matrix P is a positive definite matrix, can carry out following decomposition to clutter matrix P:
ψ H P - 1 ψ = δ v - 2 E
Then: P - 1 = δ v - 2 ( ψ H ) - 1 E ψ - 1
That is: P = δ v 2 ψ ψ H
When noise signal v is white Gaussian noise, according to
Figure BSA00000205855600034
Have
Figure BSA00000205855600035
Then S is exactly the fully-complementary sequence matrix after optimizing; Wherein The variance yields of expression noise signal, Λ is a diagonal matrix; With the fully-complementary sequence matrix S after optimizing as transmitting in the orthogonal MIMO radar.
Advantage of the present invention and good effect are:
(1) to utilize alternative manner to construct number abundant in the present invention, and the sufficiently long fully-complementary sequence of code length can satisfy the application of actual orthogonal MIMO radar system fully;
(2) the present invention has carried out optimum processing to the different distributions of orthogonal MIMO radar clutter to transmitting, and the Optimal Signals that obtains has enlarged mutual information, has improved systematic function.
Description of drawings
Fig. 1 is the flow chart of steps of fully-complementary sequence structure of the present invention and optimization method;
Fig. 2 is the schematic diagram that fully-complementary sequence makes up in the step 2 of the present invention;
Fig. 3 is that the present invention optimizes the back signal and the former mutual information that transmits compares schematic diagram.
Embodiment
The present invention is described in further detail below in conjunction with drawings and Examples.
Fully-complementary sequence structure and optimization method are realized by following steps in the orthogonal MIMO radar system provided by the invention, as shown in Figure 1:
Step 1, iterations r is set.Choosing iterations in the embodiment of the invention is 3.According to the demand of actual orthogonal MIMO radar, sequence length can not be oversize can not be too short, oversize complexity height a bit, having lacked very much systematic function can be a little bit poorer, general iterations is between 3~5.Require constructed complementary series number 2 R+1Be greater than or equal number of transmit antennas in the orthogonal MIMO radar system.
The number of phases of step 2, setting fully-complementary sequence is provided with initial complementary series { A 0, B 0, A in the selected initial complementary series 0With B 0Complementary.The number of phases of choosing fully-complementary sequence in the embodiment of the invention is the structure that 5 initial complementary series illustrates fully-complementary sequence: A 0=(1i-i-1i), B 0=(111i-i).In actual applications, the number of phases of fully-complementary sequence generally is set at 2 or 4.The number of phases of fully-complementary sequence is the same with the initial complementary series number of phases.
Initial complementary series according to selected can obtain: the length L of initial complementary series 0=5; Initial complementary series number of phases P_n=4; The length L that needs the fully-complementary sequence of structure r=L 0* 2 r=40, this length is meant the sub-sequence length of each complementary series.
Step 3, employing iterative method make up fully-complementary sequence.
Described iterative method is the process of a recurrence, by { A 0, B 0Can construct two pairs of fully-complementary sequences: { A 0B 0A 0-B 0And
Figure BSA00000205855600041
With
Figure BSA00000205855600043
Wherein, { A 0B 0A 0-B 0With
Figure BSA00000205855600044
It is complementary fully, With
Figure BSA00000205855600046
Complementary fully.In like manner, again will be wherein each fully-complementary sequence proceed iteration and go down, iteration r time, the number of the fully-complementary sequence that constructs are 2 r, the number of complementary series is 2 R+1, the length L of fully-complementary sequence r=L 0* 2 rIf initial complementary series number of phases P_n>2 then need conjugation to handle in building process, building process as shown in Figure 2, wherein
Figure BSA00000205855600047
Expression B 0The opposite sequence of sequence, Expression B 0Conjugation.
As shown in Figure 2, iteration once, by { A 0, B 0Construct { A 1, B 1, { A 1', B ' 1, { (AA) 1, (BB) 1, { (AA) 1', (AA) ' 1, wherein, { A 1, B 1Be { A 0B 0A 0-B 0, { A 1', B ' 1Be
Figure BSA00000205855600049
{ (AA) 1, (BB) 1Be { (AA) 1', (BB) ' 1Be
Figure BSA000002058556000411
Iteration for the second time, with { A 1, B 1Be example, construct { A 2, B 2, { A 2', B ' 2, { (AA) 2, (BB) 2, { (AA) 2', (BB) ' 2, wherein, { A 2, B 2Be { A 1B 1A 1-B 1, { A 2', B ' 2Be
Figure BSA000002058556000412
{ (AA) 2, (BB) 2Be
Figure BSA000002058556000413
{ (AA) 2', (BB) ' 2Be
Figure BSA000002058556000414
Iteration for the third time, with { A 2, B 2Be example, construct { A 3, B 3, { A 3', B ' 3, { (AA) 3, (BB) 3, { (AA) 3', (BB) ' 3, wherein, { A 3, B 3Be { A 2B 2A 2-B 2, { A 3', B ' 3Be
Figure BSA000002058556000415
{ (AA) 3, (BB) 3Be
Figure BSA000002058556000416
{ (AA) 3', (BB) ' 3Be
Figure BSA000002058556000417
In like manner, can carry out r time iteration.
The constructed fully-complementary sequence that goes out is a quadrature.Specify as follows:
The a pair of fully-complementary sequence that constructs by the r rank is { A r, B rAnd A ' r, B ' r, as satisfying
Figure BSA000002058556000419
With
Figure BSA000002058556000420
Wherein * represents related operation, proves that then sequence is a fully-complementary sequence, is quadrature, forms a class fully-complementary sequence collection by these sequences of same length.
Iteration is 3 times in the embodiment of the invention, and the fully-complementary sequence collection that constructs comprises 8 pairs of fully-complementary sequences, i.e. 16 complementary seriess, and each complementary series comprises two subsequences, and each sub-sequence length is 40, and a pair of fully-complementary sequence wherein is:
Figure BSA000002058556000421
Figure BSA000002058556000422
Wherein,
Figure BSA00000205855600051
Figure BSA00000205855600052
Can verify that thus constructed sequence is a fully-complementary sequence.
Step 4, according to antenna data in the orthogonal MIMO radar system, select suitable fully-complementary sequence.According to the number of transmitting antenna, require to construct complementary series number 2 R+1Be greater than or equal number of transmit antennas, from 2 R+1Choose complementary series number in the middle of the individual complementary series with the transmitting antenna similar number.
Number of transmit antennas is 2 in the embodiment of the invention, 2 of reception antenna data bit.Choose following fully-complementary sequence as transmitting:
Figure BSA00000205855600053
Step 5, the fully-complementary sequence of step 4 being chosen according to noise performance in the orthogonal MIMO radar system are optimized.
Number according to orthogonal MIMO radar system transmitting antenna and reception antenna, choose the fully-complementary sequence that makes up in the step 3 suitably, according to the type of clutter in the real system, be foundation with the maximum channel capacity, the fully-complementary sequence of launching is optimized processing.
The clutter distribution matrix P of orthogonal MIMO radar system in the embodiment of the invention K, q=0.4 | k-q|, k, q be the capable ordinal sum row ordinal number of representing matrix P respectively; Embodiment P is 2L rank matrixes, and then the equal value of k, q is 1 herein ..., 2L.Promptly
Figure BSA00000205855600055
Because the number of transmit antennas of orthogonal MIMO radar is M, then the fully-complementary sequence that makes up from step 3 is concentrated and is chosen M to complementary series { A m, B m(m=1 ..., M) as transmitting S, that is:
Figure BSA00000205855600056
Wherein,
Figure BSA00000205855600058
{ S Am, S BmBe the complementary series of choosing in the step 4,1≤m≤M; T represents the transposition computing, sets reception antenna number N simultaneously, orthogonal MIMO Radar channel parameter h n=[h N1..., h NM] T, v nExpression clutter item, then n the echo y that receiver receives nFor:
y n=Sh n+v n n=1,…,N (2)
The signal that each antenna is received makes up,
Figure BSA00000205855600061
Simultaneously X represents the signal combination of all antennas; Channel matrix
Figure BSA00000205855600063
Then
y=Xh+v (3)
V represents the clutter noise matrix,
Figure BSA00000205855600064
Formula (3) can get the orthogonal MIMO radar system capacity C according to this formula to be for the orthogonal MIMO radar system emission receives equation:
C=max{I(h;y)}=max{H(y)-H(y|h)}(4)
Wherein, I (h; Y) be mutual information, H (y) is the entropy of matrix y, and H (y|h) is the conditional entropy of y under the given h, because the independence of h and y, then formula (4) can be write as:
I(h;y)=H(y)-H(v|h)=H(y)-H(v)(5)
H (is the entropy of noise matrix v v), supposes that channel matrix h obeys average E (h)=0, variance
Figure BSA00000205855600065
Distribution,
Figure BSA00000205855600066
The variance yields of expression channel, E NMExpression E is NM rank matrixes, the variance of definition v
Figure BSA00000205855600067
L represents the code element number of sequence, the just sub-sequence length of complementary series; Shannon's theorems according to communication theory can get:
H ( y ) = lg [ det ( δ h 2 · XX H + Σ ) ] - - - ( 6 )
H(v)=lg[det(∑)](7)
I ( h ; y ) = H ( y ) - H ( v ) = lg [ det ( E 2 NL + δ h 2 Σ - 1 XX H ) ] - - - ( 8 )
The objective of the invention is to find the X that transmits that can make the mutual information maximum, because So S (i.e. Fa She fully-complementary sequence) is determining X, formula (8) can be write as:
I ( h ; y ) = N · lg [ det ( E 2 L + δ h 2 P - 1 / 2 SS H P - 1 / 2 ) ] (9)
= N · lg [ det ( E M + δ h 2 S H P - 1 S ) ]
When noise signal v is white Gaussian noise,
Figure BSA000002058556000613
E is a unit matrix, at this moment
S H P - 1 S = ( P - 1 / 2 S ) H ( P - 1 / 2 S ) = δ v 2 E = Λ - - - ( 10 )
Be S HP -1S is a diagonal matrix, at this moment I (h; Y) obtain maximum, this moment, fully-complementary sequence was optimal sequence, and when noise signal v was relevant, we need transform ψ S to the S that transmits, and make (ψ S) HP -1(ψ S) is diagonal matrix, improves channel capacity:
(ψS) HP -1(ψS)=S HHP -1ψ)S=Λ(11)
At this moment, ψ S is the sequence after the optimization.
That hints obliquely at matrix ψ asks method as follows:
Because matrix P is a positive definite matrix, can carry out following decomposition to clutter matrix P:
ψ H P - 1 ψ = δ v - 2 E - - - ( 12 )
Then further can obtain formula (13):
P - 1 = δ v - 2 ( ψ H ) - 1 E ψ - 1 - - - ( 13 )
Further obtain formula (14) again:
P = δ v 2 ψ ψ H - - - ( 14 )
Calculate ψ from formula (14) according to concrete clutter distribution matrix.
Fully-complementary sequence after optimizing is applied in the orthogonal MIMO radar.
Fully-complementary sequence constructed among the present invention is when noise signal v is relevant, its before and after optimizing, be applied in the orthogonal MIMO radar different-effect as shown in Figure 3, abscissa SCR represents signal to noise ratio, ordinate is represented mutual information, can see that the fully-complementary sequence that adopts after optimizing than not adopting the fully-complementary sequence of optimizing in application, can improve the mutual information of MIMO radar.

Claims (3)

1. the structure and the optimization method of fully-complementary sequence in the orthogonal MIMO radar is characterized in that this method may further comprise the steps:
Step 1, according to the demand of actual orthogonal MIMO radar, be provided for the iterations r that fully-complementary sequence makes up,
Require constructed complementary series number 2 R+1Be greater than or equal number of transmit antennas in the orthogonal MIMO radar system; Wherein, r is the integer greater than 0;
The number of phases of step 2, setting fully-complementary sequence is provided with initial complementary series { A 0, B 0, A in the set initial complementary series 0With B 0Complementary;
Step 3, employing iterative method make up fully-complementary sequence;
Described iterative method is the process of a recurrence, by { A 0, B 0Construct two pairs of fully-complementary sequences: { A 0B 0A 0-B 0And
Figure FSA00000205855500012
With
Figure FSA00000205855500013
Again will be wherein each fully-complementary sequence proceed iteration and go down iteration r time;
Step 4, according to antenna data in the orthogonal MIMO radar system, select fully-complementary sequence; The fully-complementary sequence number of described selection is identical with number of transmit antennas;
Step 5, the fully-complementary sequence of step 4 being chosen according to the noise performance of noise signal v in the orthogonal MIMO radar system are optimized;
According to following mutual information formula fully-complementary sequence is optimized:
I ( h ; y ) = N · lg [ det ( E 2 L + δ h 2 P - 1 2 SS H P - 1 2 ) ]
= N · lg [ det ( E M + δ h 2 S H P - 1 S ) ]
Wherein, I (h; Y) expression mutual information, h represents channel matrix,
Figure FSA00000205855500016
y 1... y NBe respectively the 1st to N the echo that receiver receives, T represents the transposition computing; E is a unit matrix; Subscript H represents conjugate transpose; P is the distribution matrix of noise signal v; L represents the sub-sequence length of complementary series;
Figure FSA00000205855500017
The variance yields of expression channel; M is the number of transmit antennas of orthogonal MIMO radar;
The matrix of S for constituting by fully-complementary sequence:
Figure FSA00000205855500018
Wherein { S Am, S BmBe the complementary series of choosing in the step 4,1≤m≤M;
When noise signal v is relevant, according to (ψ S) HP -1(Ψ S)=S HHP -1ψ) S=Λ asks for and hints obliquely at matrix ψ, and the ψ S that further obtains again is exactly the fully-complementary sequence matrix after optimizing, with ψ S as transmitting in the orthogonal MIMO radar; When noise signal v is white Gaussian noise, according to
Figure FSA00000205855500021
Have
Figure FSA00000205855500022
Then S is exactly the fully-complementary sequence matrix after optimizing; Wherein
Figure FSA00000205855500023
The variance yields of expression noise signal, A is a diagonal matrix; With the fully-complementary sequence matrix S after optimizing as transmitting in the orthogonal MIMO radar.
2. the structure and the optimization method of fully-complementary sequence is characterized in that in a kind of orthogonal MIMO radar according to claim 1, and the iterations described in the step 1 is 3~5.
3. both optimization method of the structure of fully-complementary sequence in a kind of orthogonal MIMO radar of narrating according to claim 1 is characterized in that the number of phases of the fully-complementary sequence described in the step 2 is set at 2 or 4.
CN 201010237523 2010-07-27 2010-07-27 Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system Expired - Fee Related CN101902432B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010237523 CN101902432B (en) 2010-07-27 2010-07-27 Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010237523 CN101902432B (en) 2010-07-27 2010-07-27 Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system

Publications (2)

Publication Number Publication Date
CN101902432A true CN101902432A (en) 2010-12-01
CN101902432B CN101902432B (en) 2012-12-05

Family

ID=43227641

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010237523 Expired - Fee Related CN101902432B (en) 2010-07-27 2010-07-27 Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system

Country Status (1)

Country Link
CN (1) CN101902432B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104639473A (en) * 2015-02-01 2015-05-20 中国传媒大学 MIMO (multiple input multiple output) channel estimation method based on complete complementary sequences and compression sensing
CN106209704A (en) * 2016-07-11 2016-12-07 中国传媒大学 Time domain mimo channel method of estimation based on fully-complementary sequence
CN106443653A (en) * 2015-08-06 2017-02-22 松下电器产业株式会社 Radar device
CN107677999A (en) * 2017-09-25 2018-02-09 西北工业大学 A kind of sequence sets design method of accurate control dependence secondary lobe
CN110568409A (en) * 2019-08-09 2019-12-13 南京航空航天大学 subcarrier allocation and waveform joint optimization design method for radar communication integrated system
WO2022016657A1 (en) * 2020-07-21 2022-01-27 上海交通大学 Mimo transmission method for discrete modulation signals

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101241180A (en) * 2008-01-29 2008-08-13 电子科技大学 Orthonormal discrete frequency coding design method possessing relative low self correlation performance
CN101251597A (en) * 2008-04-08 2008-08-27 西安电子科技大学 Method for self-correction of array error of multi-input multi-output radar system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101241180A (en) * 2008-01-29 2008-08-13 电子科技大学 Orthonormal discrete frequency coding design method possessing relative low self correlation performance
CN101251597A (en) * 2008-04-08 2008-08-27 西安电子科技大学 Method for self-correction of array error of multi-input multi-output radar system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
《北京航空航天大学学报》 20100531 李树锋 等 "完全互补序列在MIMO雷达中的应用" 全文 1-3 第36卷, 第5期 *
李树锋 等: ""完全互补序列在MIMO雷达中的应用"", 《北京航空航天大学学报》, vol. 36, no. 5, 31 May 2010 (2010-05-31) *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104639473A (en) * 2015-02-01 2015-05-20 中国传媒大学 MIMO (multiple input multiple output) channel estimation method based on complete complementary sequences and compression sensing
CN104639473B (en) * 2015-02-01 2018-01-19 中国传媒大学 A kind of mimo channel method of estimation based on fully-complementary sequence and compressed sensing
CN106443653A (en) * 2015-08-06 2017-02-22 松下电器产业株式会社 Radar device
CN106209704A (en) * 2016-07-11 2016-12-07 中国传媒大学 Time domain mimo channel method of estimation based on fully-complementary sequence
CN106209704B (en) * 2016-07-11 2019-06-11 中国传媒大学 Time domain mimo channel estimation method based on fully-complementary sequence
CN107677999A (en) * 2017-09-25 2018-02-09 西北工业大学 A kind of sequence sets design method of accurate control dependence secondary lobe
CN107677999B (en) * 2017-09-25 2020-09-08 西北工业大学 Sequence set design method for accurately controlling correlation side lobe
CN110568409A (en) * 2019-08-09 2019-12-13 南京航空航天大学 subcarrier allocation and waveform joint optimization design method for radar communication integrated system
CN110568409B (en) * 2019-08-09 2023-02-03 南京航空航天大学 Subcarrier allocation and waveform joint optimization design method for radar communication integrated system
WO2022016657A1 (en) * 2020-07-21 2022-01-27 上海交通大学 Mimo transmission method for discrete modulation signals
US11637598B2 (en) 2020-07-21 2023-04-25 Shanghai Jiao Tong University MIMO transmission method for discrete modulated signals

Also Published As

Publication number Publication date
CN101902432B (en) 2012-12-05

Similar Documents

Publication Publication Date Title
CN101902432B (en) Method for establishing and optimizing fully-complementary sequence in orthogonal MIMO radar system
CN109932680B (en) Non-circular signal direction of arrival estimation method based on translational co-prime array
CN101369014B (en) Bilateral constraint self-adapting beam forming method used for MIMO radar
CN101799535A (en) Method for estimating target direction by multiple input multiple output (MIMO) radar
CN105891771B (en) It is a kind of improve estimated accuracy based on continuously distributed angle estimating method and equipment
CN110927661A (en) Single-basis expansion co-prime array MIMO radar DOA estimation method based on MUSIC algorithm
CN107728118B (en) Low sidelobe transmission beam pattern design method without fitting covariance matrix
CN104199029B (en) Measurement matrix design method for improving target imaging performance of compressed sensing radar
CN104977558A (en) Distributed source center direction-of-arrival estimation method based on Bayesian compressed perception
CN111580039A (en) Single-basis expansion co-prime array MIMO radar DOA estimation method based on non-circular signals
CN106646387A (en) MIMO radar method capable of resisting active interference based on emission wave beam domain
CN110113088B (en) Intelligent estimation method for wave arrival angle of separated digital-analog hybrid antenna system
CN101241180A (en) Orthonormal discrete frequency coding design method possessing relative low self correlation performance
CN103983952A (en) Low-complexity receiving and transmitting angle joint estimation method for non-circular signal double-base MIMO radar
CN104615854A (en) Beam broadening and sidelobe suppression method based on sparse constraint
CN113179231A (en) Beam space channel estimation method in millimeter wave large-scale MIMO system
CN106093876A (en) The orthogonal wide main lobe phase coding Design of Signal method of distributed MIMO radar
CN107302391A (en) Adaptive beamforming method based on relatively prime array
Shi et al. Joint design of transmitting waveforms and receiving filter for MIMO-STAP airborne radar
CN111193679B (en) Channel estimation method and system based on co-prime array system
CN103323810B (en) L-array azimuthal angle and pitch angle paired signal processing method
CN112965034B (en) Method for improving Doppler tolerance of slow time phase coded signal of sky-wave radar
CN109490846B (en) Multi-input multi-output radar waveform design method based on space-time joint optimization
CN107390188A (en) One kind is used for the jamproof transmitting first phase optimization method of MIMO radar main lobe
CN104868946A (en) Adaptive weighted interference suppression method of subarray level mixed MIMO-phased array system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20121205

Termination date: 20190727