CN106990386A - A kind of single dipole polarization sensitive rotation array DOA and polarization parameter combined estimation method - Google Patents

A kind of single dipole polarization sensitive rotation array DOA and polarization parameter combined estimation method Download PDF

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CN106990386A
CN106990386A CN201710239780.9A CN201710239780A CN106990386A CN 106990386 A CN106990386 A CN 106990386A CN 201710239780 A CN201710239780 A CN 201710239780A CN 106990386 A CN106990386 A CN 106990386A
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polarization
single dipole
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司伟建
黄小梅
吴娜
曲志昱
张春杰
候长波
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Harbin Engineering University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/02Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using radio waves
    • G01S3/14Systems for determining direction or deviation from predetermined direction

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Abstract

本发明的目的在于提供一种单偶极子极化敏感旋转阵列DOA与极化参数联合估计方法,首先对所述极化敏感旋转阵列的阵列接收信号进行数学建模,之后对MUSIC算法的谱函数中的导向矢量的表达式进行修正,从而利用MUSIC算法实现入射信号DOA与极化参数的联合估计。本发明所述的旋转阵列不仅可以利用单偶极子构造极化敏感旋转阵列进行构造,还可以利用任意极化敏感天线单元或组合对其进行构造,具有很强的可移植性。该阵列可以有效降低系统的通道数,极大的降低了系统的成本,并且较少的阵元数有效的避免了阵元数较多带来的通道不一致性的问题。

The purpose of the present invention is to provide a single dipole polarization-sensitive rotating array DOA and polarization parameter joint estimation method. First, the array receiving signal of the polarization-sensitive rotating array is mathematically modeled. The expression of the steering vector in the function is modified, so that the MUSIC algorithm is used to realize the joint estimation of the DOA of the incident signal and the polarization parameters. The rotating array of the present invention can not only be constructed by using a single dipole to construct a polarization-sensitive rotating array, but also can be constructed by using any polarization-sensitive antenna unit or combination, and has strong portability. The array can effectively reduce the number of channels of the system, greatly reducing the cost of the system, and the less number of array elements effectively avoids the problem of channel inconsistency caused by a large number of array elements.

Description

一种单偶极子极化敏感旋转阵列DOA与极化参数联合估计 方法Joint Estimation of DOA and Polarization Parameters of a Single Dipole Polarization Sensitive Rotating Array method

技术领域technical field

本发明涉及的是一种阵列信号处理方法,具体地说是极化敏感阵列信号处理方法。The invention relates to an array signal processing method, in particular to a polarization-sensitive array signal processing method.

背景技术Background technique

基于极化敏感阵列的DOA与极化参数联合估计是阵列信号处理的一个重要研究方向,其主要任务是对极化敏感阵列接收到的信号的入射方向与极化状态进行估计。相对于基于标量阵列而言,极化敏感阵列可以同时敏感到入射信号的DOA与极化信息,增加了可利用的信息量,可以有效提高系统性能。因此,如何利用极化敏感阵列对入射信号的DOA与极化参数进行估计,是将极化敏感阵列应用于实际测向系统的基础。The joint estimation of DOA and polarization parameters based on polarization-sensitive arrays is an important research direction of array signal processing, and its main task is to estimate the incident direction and polarization state of signals received by polarization-sensitive arrays. Compared with the scalar-based array, the polarization-sensitive array can be sensitive to the DOA and polarization information of the incident signal at the same time, which increases the amount of available information and can effectively improve system performance. Therefore, how to use the polarization-sensitive array to estimate the DOA and polarization parameters of the incident signal is the basis for applying the polarization-sensitive array to the actual direction-finding system.

阵列结构的选择直接影响着MUSIC算法的估计性能。均匀圆阵可以同时对入射信号的二维DOA信息进行估计,并且具有与方位角无关的波束宽度,是实际工程中应用常见的典型阵列之一。基于均匀圆阵的MUSIC算法的测向性能与阵列半径及阵元数相关,理论上,均匀圆阵的半径越大、阵元数越多,算法的估计精度越高。然而,在实际工程应用中,阵元数目的增多同时会带来通道不一致性增大的难题。并且阵元数的增多,意味着系统的通道数的增多,以及接收系统与信号处理系统规模的增大,这极大的增加了系统的成本。The choice of the array structure directly affects the estimation performance of the MUSIC algorithm. The uniform circular array can estimate the two-dimensional DOA information of the incident signal at the same time, and has a beam width independent of the azimuth angle. It is one of the typical arrays commonly used in practical engineering. The direction-finding performance of the MUSIC algorithm based on the uniform circular array is related to the radius of the array and the number of array elements. In theory, the larger the radius of the uniform circular array and the more the number of array elements, the higher the estimation accuracy of the algorithm. However, in practical engineering applications, the increase in the number of array elements will also bring about the problem of increased channel inconsistency. Moreover, the increase in the number of array elements means the increase in the number of channels in the system, as well as the increase in the scale of the receiving system and the signal processing system, which greatly increases the cost of the system.

发明内容Contents of the invention

本发明的目的在于提供利用较少的阵元数估计入射信号的DOA与极化参数的一种单偶极子极化敏感旋转阵列DOA与极化参数联合估计方法。The purpose of the present invention is to provide a single dipole polarization-sensitive rotating array DOA and polarization parameter joint estimation method for estimating the DOA and polarization parameters of the incident signal with a small number of array elements.

本发明的目的是这样实现的:The purpose of the present invention is achieved like this:

本发明一种单偶极子极化敏感旋转阵列DOA与极化参数联合估计方法,其特征是:包括天线盘以及与天线盘边缘共形的单偶极子天线阵元1和单偶极子天线阵元2,天线盘以转速R匀速旋转;天线盘位于xoy平面内,将单偶极子天线阵元1与单偶极子天线阵元2分别放置于x轴的正半轴与负半轴,距离坐标原点的距离均为d;天线盘在旋转过程中,天线盘所在平面与旋转轴时刻保持垂直;A single dipole polarization-sensitive rotating array DOA and polarization parameter joint estimation method of the present invention is characterized in that it includes an antenna dish and a single dipole antenna array element 1 conforming to the edge of the antenna dish and a single dipole Antenna element 2, the antenna disk rotates at a constant speed of R; the antenna disk is located in the xoy plane, and the single dipole antenna element 1 and the single dipole antenna element 2 are respectively placed on the positive half axis and the negative half axis of the x axis axis, the distance from the origin of the coordinates is d; during the rotation of the antenna dish, the plane where the antenna dish is located is always perpendicular to the rotation axis;

(1)在每个单偶极子天线旋转半个周期的过程中,按等时间间隔Δτ选取2M个阵列输出数据,构成虚拟单偶极子极化敏感均匀圆阵的接收数据矢量X=[X1,X2]T=ΦAS+N,S为K×1维的入射信号矢量,K为入射信源数,N=[N1,N2]T为2M×1维阵列接收噪声矢量,N1与N2分别为M×1维的阵元1与阵元2接收噪声矢量;(1) During the half cycle rotation of each single dipole antenna, 2M arrays are selected to output data according to the equal time interval Δτ, and the received data vector X=[ X 1 ,X 2 ] T =ΦAS+N, S is K×1-dimensional incident signal vector, K is the number of incident signal sources, N=[N 1 ,N 2 ] T is 2M×1-dimensional array receiving noise vector, N 1 and N 2 are respectively M×1-dimensional array element 1 and array element 2 receiving noise vectors;

(2)根据接收数据矢量计算协方差矩阵Rx=E{XXH},E{·}表示求期望;(2) Calculate the covariance matrix R x =E{XX H } according to the received data vector, and E{ } represents expectation;

(3)对协方差矩阵Rx进行特征值分解,求得2M个特征值及对应特征向量;(3) Decompose the eigenvalues of the covariance matrix R x to obtain 2M eigenvalues and corresponding eigenvectors;

(4)将Rx的2M个特征值进行降序排列,利用协方差矩阵Rx的后2M-K个小特征值对应特征向量张成噪声子空间UN(4) arrange the 2M eigenvalues of R x in descending order, and use the last 2M-K small eigenvalues of the covariance matrix R x to correspond to the eigenvectors to form a noise subspace U N ;

(5)利用式构造二维DOA与极化参数联合估计的谱函数;(5) Utilization formula Construct the spectral function of the joint estimation of two-dimensional DOA and polarization parameters;

(6)改变谱函数中θ,φ,γ与η的取值,对构造的谱函数进行谱峰搜索,找出K个极大值点对应的DOA与极化参数的取值。(6) Change the values of θ, φ, γ and η in the spectral function, search the spectral peaks of the constructed spectral function, and find out the values of DOA and polarization parameters corresponding to the K maximum points.

本发明还可以包括:The present invention may also include:

1、在阵列旋转过程中,选取的两个连续阵元之间的时延Δτ远大于接收机的数据采样周期,阵列旋转的转速满足:其中fs为接收机采样频率,L为快拍数。1. During the rotation of the array, the time delay Δτ between the selected two consecutive array elements is much greater than the data sampling period of the receiver, and the rotation speed of the array satisfies: Where f s is the sampling frequency of the receiver, and L is the number of snapshots.

2、X1与X2分别为由单偶极子天线阵元1与单偶极子天线阵元2的接收数据构成的M×1维阵列接收数据矢量;其中X1=Φ1A1S+N1,X2=Φ2A2S+N2,Φ=diag{Φ12},Φ1=Φ2=diag{1,exp(-j2πfΔτ),…,exp(-j2πf(M-1)Δτ)},Φ1和Φ2分别表示单偶极子天线阵元1和单偶极子天线阵元2旋转后得到的附加相位矩阵;为2M×K维阵列流形矩,分别表示单偶极子天线阵元1和单偶极子天线阵元2旋转后得到的M×K维阵列流形矩,为对应信源k(k=1,2,…K)的导向矢量,Uk为信源k入射到2M个虚拟阵元时的空域导向矢量矩阵,其计算式为B为虚拟阵列对应的极化敏感矩阵,其具体表达式为bm=[sin(2π(m-1)/2M),cos(2π(m-1)/2M)]为虚拟阵元m的极化敏感矢量;为对应信源k的极化空间域导向矢量。2. X 1 and X 2 are M×1-dimensional array receiving data vectors composed of the receiving data of single dipole antenna element 1 and single dipole antenna element 2 respectively; where X 11 A 1 S +N 1 , X 2 =Φ 2 A 2 S+N 2 , Φ=diag{Φ 12 }, Φ 1 =Φ 2 =diag{1,exp(-j2πfΔτ),...,exp(-j2πf( M-1) Δτ)}, Φ 1 and Φ 2 respectively represent the additional phase matrix obtained after the rotation of the single dipole antenna array element 1 and the single dipole antenna array element 2; is a 2M×K dimensional array manifold moment, with respectively represent the M×K dimensional array manifold moments obtained after the rotation of single dipole antenna element 1 and single dipole antenna element 2, is the steering vector corresponding to source k (k=1, 2,...K), U k is the spatial domain steering vector matrix when source k is incident on 2M virtual array elements, and its calculation formula is B is the polarization-sensitive matrix corresponding to the virtual array, and its specific expression is b m =[sin(2π(m-1)/2M), cos(2π(m-1)/2M)] is the polarization sensitive vector of virtual array element m; is the steering vector in the polarization space domain corresponding to source k.

本发明的优势在于:本发明通过对旋转中的阵元的输出数据进行采样,由于阵列的旋转,每个采样点所对应的阵元位置不同,从而构造出虚拟极化敏感均匀圆阵的接收数据矢量,对该虚拟极化敏感均匀圆阵进行数学建模,并利用MUSIC算法实现了入射信号DOA与极化参数的联合估计。极化敏感旋转阵列仅包含两个单偶极子天线,有效降低了接收系统与信号处理系统的规模,并且可以在一定程度上避免了通道不一致性对测向结果的影响。本发明的有益效果是:可以实现低成本、高精度的二维DOA与极化参数的联合估计。The advantage of the present invention is that: the present invention samples the output data of the rotating array elements. Due to the rotation of the array, the positions of the array elements corresponding to each sampling point are different, thereby constructing a receiving array of a virtual polarization-sensitive uniform circular array. Data vector, the mathematical modeling of the virtual polarization-sensitive uniform circular array is carried out, and the joint estimation of DOA and polarization parameters of the incident signal is realized by using the MUSIC algorithm. The polarization-sensitive rotating array only contains two single dipole antennas, which effectively reduces the scale of the receiving system and signal processing system, and can avoid the influence of channel inconsistency on the direction finding results to a certain extent. The beneficial effect of the invention is that low-cost, high-precision joint estimation of two-dimensional DOA and polarization parameters can be realized.

本发明的优点如下:The advantages of the present invention are as follows:

首次提出利用单偶极子极化敏感天线构造极化敏感旋转阵列,对阵列旋转的转速及阵列的要求进行了说明;For the first time, it is proposed to use a single dipole polarization-sensitive antenna to construct a polarization-sensitive rotating array, and the rotation speed of the array and the requirements of the array are explained;

首次提出利用所述极化敏感旋转阵列的二维DOA与极化参数联合估计方法,利用阵列的旋转构造虚拟极化敏感均匀圆阵,对该均匀圆阵的阵列模型进行数学建模,并利用MUSIC算法估计出入射信号的DOA与计划参数。For the first time, a joint estimation method of two-dimensional DOA and polarization parameters using the polarization-sensitive rotating array is proposed, using the rotation of the array to construct a virtual polarization-sensitive uniform circular array, and mathematically modeling the array model of the uniform circular array, and using The MUSIC algorithm estimates the DOA and planning parameters of the incident signal.

附图说明Description of drawings

图1为本发明的流程图;Fig. 1 is a flowchart of the present invention;

图2为两天线阵列旋转示意图;Figure 2 is a schematic diagram of the rotation of two antenna arrays;

图3a为固定极化参数真值,当γ=40,η=50时,对应的空间谱图;图3b为固定极化参数真值,当γ=60,η=70时,对应的空间谱图;图3c为固定DOA真值,θ=125,φ=15时,对应的极化谱图;图3d为固定DOA真值,θ=55,φ=25时,对应的极化谱图;Figure 3a is the true value of the fixed polarization parameter, when γ=40, η=50, the corresponding spatial spectrum; Figure 3b is the true value of the fixed polarization parameter, when γ=60, η=70, the corresponding spatial spectrum Figure 3c is the fixed DOA true value, when θ=125, φ=15, the corresponding polarization spectrum; Figure 3d is the fixed DOA true value, θ=55, φ=25, the corresponding polarization spectrum;

图4为本发明方法与基于极化敏感阵列的联合参数估计算法通道不一致下的RMSE。Fig. 4 shows the RMSE under the channel inconsistency between the method of the present invention and the joint parameter estimation algorithm based on the polarization sensitive array.

具体实施方式detailed description

下面结合附图举例对本发明做更详细地描述:The present invention is described in more detail below in conjunction with accompanying drawing example:

结合图1-4,本发明的一种由两个单偶极子天线构成的极化敏感旋转阵列,包括与天线盘边缘共形的两个单偶极子天线阵元,天线盘以一定的转速R(r/s)匀速旋转,其特征在于,天线盘位于xoy平面内,将单偶极子天线阵元1与阵元2分别放置于x轴的正半轴与负半轴,距离坐标原点的距离均为d;天线盘在旋转过程中天线盘所在平面与旋转轴时刻保持垂直;为了保证采样数据的稳定性,在阵列旋转过程中,选取的两个连续阵元之间的时延Δτ要远大于接收机的数据采样周期,且有进而可得阵列旋转的转速需要满足:其中fs为接收机采样频率,L为快拍数,2M为虚拟极化敏感均匀圆阵的阵元数。通常将转速R设置为10~20r/s,根据可得到时延Δτ的取值范围。1-4, a polarization-sensitive rotating array composed of two single-dipole antennas according to the present invention includes two single-dipole antenna array elements conformal to the edge of the antenna dish, and the antenna dish has a certain The speed R (r/s) rotates at a constant speed, and the characteristic is that the antenna disk is located in the xoy plane, and the single dipole antenna element 1 and the element 2 are respectively placed on the positive semi-axis and the negative semi-axis of the x-axis, and the distance from the coordinate The distance from the origin is d; during the rotation of the antenna disk, the plane where the antenna disk is located is always perpendicular to the rotation axis; in order to ensure the stability of the sampling data, during the rotation of the array, the time delay between the selected two consecutive array elements Δτ is much larger than the data sampling period of the receiver, and there is Then the rotation speed of the array can be obtained to satisfy: Where f s is the sampling frequency of the receiver, L is the number of snapshots, and 2M is the number of elements of the virtual polarization-sensitive uniform circular array. Usually the speed R is set to 10~20r/s, according to The value range of time delay Δτ can be obtained.

同时,本发明一种利用所述极化敏感旋转阵列进行二维DOA与极化参数联合估计的方法,具体步骤如下:At the same time, the present invention provides a method for joint estimation of two-dimensional DOA and polarization parameters using the polarization-sensitive rotating array, and the specific steps are as follows:

步骤(1):将两个单偶极子极化敏感天线分别放置于XOY平面内的(d,0)与(0,d)处,设置天线盘的转速为R,使天线盘以该转速逆时针匀速旋转,在旋转的同时保证天线盘与转轴垂直;Step (1): Place two single dipole polarization-sensitive antennas at (d, 0) and (0, d) in the XOY plane respectively, set the rotation speed of the antenna dish to R, and make the antenna dish rotate at this speed Rotate counterclockwise at a constant speed, and ensure that the antenna dish is perpendicular to the rotating shaft while rotating;

步骤(2):在每个单偶极子天线逆时针旋转半个周期的过程中,按等时间间隔Δτ选取2M(M为正整数)个阵列输出数据,构成虚拟单偶极子极化敏感均匀圆阵的接收数据矢量X=[X1,X2]T=ΦAS+N;Step (2): During the counterclockwise rotation of each single dipole antenna for half a cycle, select 2M (M is a positive integer) array output data at equal time intervals Δτ to form a virtual single dipole polarization-sensitive Received data vector X=[X 1 ,X 2 ] T =ΦAS+N of uniform circular array;

S为K×1维的入射信号矢量,K为入射信源数;S is the incident signal vector of K×1 dimension, and K is the number of incident sources;

N=[N1,N2]T为2M×1维阵列接收噪声矢量,其中N1与N2分别为M×1维的阵元1与阵元2接收噪声矢量;N=[N 1 , N 2 ] T is a 2M×1-dimensional array receiving noise vector, where N 1 and N 2 are M×1-dimensional array element 1 and array element 2 receiving noise vectors;

利用式Φ=diag{Φ12}与Φ1=Φ2=diag{1,exp(-j2πfΔτ),…,exp(-j2πf(M-1)Δτ)}求得由于两单偶极子天线旋转而得到旋转阵列中的各阵元之间的采样延迟产生的附加相位矩阵Φ,其中,f为入射信号频率。Using the formula Φ=diag{Φ 12 } and Φ 1 =Φ 2 =diag{1,exp(-j2πfΔτ),…,exp(-j2πf(M-1)Δτ)} to find out that due to two single dipoles The sub-antennas are rotated to obtain an additional phase matrix Φ generated by the sampling delay between the elements in the rotating array, where f is the frequency of the incident signal.

利用式与bm=[sin(2π(m-1)/2M),cos(2π(m-1)/2M)]求得虚拟极化敏感均匀圆阵的极化敏感矩阵B;利用式求得对应入射信号DOA与极化参数所有可能取值对应的极化空间域导向矢量;利用式求得对应入射信号DOA与极化参数所有可能取值对应的空域导向矢量矩阵;进而利用求得入射信号DOA与极化参数所有可能取值对应的导向矢量,用于后续的谱函数的构造。Exploitation and b m = [sin(2π(m-1)/2M), cos(2π(m-1)/2M)] to obtain the polarization-sensitive matrix B of the virtual polarization-sensitive uniform circular array; use the formula Obtain the steering vector in the polarization space domain corresponding to the DOA of the incident signal and all possible values of the polarization parameters; use the formula Obtain the spatial steering vector matrix corresponding to the DOA of the incident signal and all possible values of the polarization parameters; and then use Obtain the steering vectors corresponding to the DOA of the incident signal and all possible values of the polarization parameters, which are used for the construction of the subsequent spectral function.

步骤(2):根据接收数据矢量计算协方差矩阵Rx=E{XXH},E{·}表示求期望;Step (2): Calculate the covariance matrix R x =E{XX H } according to the received data vector, and E{ } represents expectation;

实际接收数据矩阵是有限长的,则可以利用最大似然估计计算协方差矩阵其中,L为快拍数。The actual received data matrix is of finite length, then the covariance matrix can be calculated using maximum likelihood estimation Among them, L is the snapshot number.

步骤(3):对协方差矩阵Rx进行特征值分解,求得2M个特征值及对应特征向量;Step (3): Carry out eigenvalue decomposition on the covariance matrix R x to obtain 2M eigenvalues and corresponding eigenvectors;

对Rx进行特征值分解,可得 The eigenvalue decomposition of R x can be obtained

步骤(4):将Rx的2M个特征值进行降序排列,利用协方差矩阵Rx的后2M-K个小特征值对应特征向量张成噪声子空间UNStep (4): arrange the 2M eigenvalues of R x in descending order, and use the eigenvectors corresponding to the last 2M-K small eigenvalues of the covariance matrix R x to form a noise subspace U N ;

将其特征值按降序排列为λ1≥λ2…≥λM,它们所对应的特征向量为ν12,…,νM,且各特征向量是相互正交的,则R的噪声子空间UN=[νK+1K+2,…,ν2M]。Arrange its eigenvalues in descending order as λ 1 ≥ λ 2 …≥ λ M , and their corresponding eigenvectors are ν 1 , ν 2 ,…, ν M , and the eigenvectors are mutually orthogonal, then the noise of R Subspace U N =[ν K+1K+2 ,...,ν 2M ].

步骤(5):利用式构造二维DOA与极化参数联合估计的谱函数,θ称为方位角,φ称为仰角,γ称为极化辅助角,η称为极化相位差;Step (5): Use formula Construct the spectral function for joint estimation of two-dimensional DOA and polarization parameters, θ is called the azimuth angle, φ is called the elevation angle, γ is called the polarization auxiliary angle, and η is called the polarization phase difference;

步骤(6):改变谱函数中θ,φ,γ与η的取值,对构造的谱函数进行谱峰搜索,找出K个极大值点对应的DOA与极化参数的取值。Step (6): Change the values of θ, φ, γ and η in the spectral function, search the spectral peaks of the constructed spectral function, and find out the values of DOA and polarization parameters corresponding to K maximum points.

参照图2,是两天线阵列旋转示意图,空间水平位置上有单偶极子阵元1与阵元2两个阵元,两个阵元分别与圆周边缘共性,D个相互独立的信号源入射到半径为r的天线盘上,现假设基线1-2在XOY平面以Z轴为旋转轴按逆时针方向进行匀速旋转,阵元旋转周期为T,经过Δt(Δt<T)时间,阵元1、2分别旋转到阵元1'、2'的位置。Referring to Figure 2, it is a schematic diagram of the rotation of two antenna arrays. There are two array elements, a single dipole array element 1 and an array element 2, in the horizontal position of the space. On the antenna dish with a radius of r, it is now assumed that the baseline 1-2 rotates counterclockwise at a constant speed on the XOY plane with the Z axis as the rotation axis, and the rotation period of the array element is T. After Δt (Δt<T) time, the array element 1 and 2 are rotated to the positions of array elements 1' and 2' respectively.

参照图3,是所述方法的估计谱图,其中图3a、图3b为对应极化参数真值的空间谱图,谱峰位置对应的方位角与仰角的取值即为入射信号的DOA估计值;图3c、图3d为对应DOA真值的极化谱图,谱峰位置对应的极化辅助角与极化相位差即为入射信号的极化参数估计值。Referring to Fig. 3, it is the estimated spectrogram of the method, wherein Fig. 3a and Fig. 3b are the spatial spectrogram corresponding to the true value of the polarization parameter, and the value of the azimuth angle and the elevation angle corresponding to the spectral peak position is the DOA estimation of the incident signal value; Fig. 3c and Fig. 3d are the polarization spectra corresponding to the true value of DOA, and the polarization auxiliary angle and polarization phase difference corresponding to the spectral peak position are the estimated polarization parameters of the incident signal.

Claims (3)

1. a kind of single dipole polarization sensitive rotation array DOA and polarization parameter combined estimation method, it is characterized in that:Including antenna Disk and the single dipole bay 1 and single dipole bay 2 conformal with antenna plate edge, antenna bay are even with rotating speed R Speed rotation;Antenna bay is located in xoy planes, and single dipole bay 1 and single dipole bay 2 are respectively placed in into x The positive axis of axle and negative semiaxis, the distance of range coordinate origin is d;Antenna bay is in rotary course, plane where antenna bay It is vertical with the holding of rotary shaft moment;
(1) during each single dipole antenna rotation half period, choose 2M array by constant duration Δ τ and export Data, constitute reception data vector X=[X of virtual single dipole polarization sensitive uniform circular array1,X2]T=Φ AS+N, S are K × 1 The incoming signal vector of dimension, K is incident information source number, N=[N1,N2]TArray received noise vector, N are tieed up for 2M × 11With N2Respectively For the array element 1 that M × 1 is tieed up noise vector is received with array element 2;
(2) covariance matrix R is calculated according to reception data vectorx=E { XXH, E { } represents to ask expectation;
(3) to covariance matrix RxEigenvalues Decomposition is carried out, 2M characteristic value and character pair vector is tried to achieve;
(4) by Rx2M characteristic value carry out descending arrangement, utilize covariance matrix RxRear 2M-K small characteristic value character pairs Vector opens into noise subspace UN
(5) formula is utilizedConstruction two dimension DOA combines with polarization parameter to be estimated The spectral function of meter;
(6) value of θ, φ, γ and η in spectral function are changed, the spectral function to construction carries out spectrum peak search, finds out K maximum The corresponding DOA of point and polarization parameter value.
2. a kind of single dipole polarization sensitive rotation array DOA according to claim 1 and polarization parameter Combined estimator side Method, it is characterized in that:
During array rotation, data sampling weeks of the time delay Δ τ much larger than receiver between two continuous array elements of selection Phase, the rotating speed of array rotation is met:Wherein fsFor receiver sample frequency, L is fast umber of beats.
3. a kind of single dipole polarization sensitive rotation array DOA according to claim 2 and polarization parameter Combined estimator side Method, it is characterized in that:
X1With X2Tie up array and connect in the M being respectively made up of the reception data of single dipole bay 1 and single dipole bay 2 × 1 Receive data vector;Wherein X11A1S+N1, X22A2S+N2, Φ=diag { Φ12, Φ12=diag { 1, exp (- j2 π F Δ τ) ..., exp (- j2 π f (M-1) Δ τ) }, Φ1And Φ2Single dipole bay 1 and single dipole bay 2 are represented respectively The additive phase matrix obtained after rotation; Array manifold square is tieed up for 2M × K,WithAfter representing that single dipole bay 1 and single dipole bay 2 rotate respectively Obtained M × K dimension array manifold squares,For correspondence information source k (k=1,2 ... K) Steering vector, UkSpatial domain steering vector matrix during 2M Virtual array is incided for information source k, its calculating formula isB is virtual array pair The polarization sensitive matrix answered, its expression isbm=[sin (2 π (m-1)/2M), cos (2 π (m- 1)/2M)] be Virtual array m polarization sensitive vector; For correspondence information source k polarized spatial domain steering vector.
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