Estimation method for arriving direction of monostatic MIMO radar based on random array manifolds

An arbitrary array and direction estimation technology, applied in the field of radar, can solve the problems of reducing the amount of calculation and being powerless

Inactive Publication Date: 2013-10-23
XIDIAN UNIV
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Problems solved by technology

[0004] In order to reduce the amount of computation, the rotation-invariant technique proposed by Richard H.Roy and Kailath et al. in 1986 can be used to estimate the signal parameters ESPRIT method and the improved polynomial root-finding multi-signal classificat

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  • Estimation method for arriving direction of monostatic MIMO radar based on random array manifolds
  • Estimation method for arriving direction of monostatic MIMO radar based on random array manifolds
  • Estimation method for arriving direction of monostatic MIMO radar based on random array manifolds

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Embodiment Construction

[0021] refer to figure 1 , the specific implementation steps of this embodiment are as follows:

[0022] Step 1, according to the element distribution of the monostatic MIMO radar, obtain the steering vector A(θ) of the matrix.

[0023] According to the array element distribution of monostatic MIMO radar, the polar coordinates of each array element are obtained as (r n ,β n ), n=1,2,...N, N is the number of array elements;

[0024] According to the polar coordinates of each array element (r n ,β n ), get the transmit steering vector a of the MIMO radar t (θ) and receiving steering vector a r (θ) are respectively:

[0025] a t ( θ ) = [ e jk r 1 cos ( ...

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Abstract

The invention discloses an estimation method for the arriving direction of a monostatic MIMO radar based on random array manifolds. The method mainly solves the problems that an existing technology is only suitable for linear arrays and large in calculated quantity. The method comprises the steps that 1) the guide vector quantity of the monostatic MIMO radar is written according to the array manifolds; 2) manifold spreading is carried out on the guide vector quantity of the MIMO radar to obtain the Vandermonde guide vector quantity, guide vector quantity transfer is conducted by means of a spatial smoothing thought, and a transfer matrix from the MIMO guide vector quantity to the guide vector quantity after transfer is evaluated; 3) a receiving array and a transmitted waveform are utilized to carry out matched filtering to form an autocorrelation matrix; 4) characteristic decomposition is conducted on the autocorrelation matrix to obtain an eigenvalue and an eigenvector, and the eigenvector is selected to form a noise subspace; 5) the noise subspace is used for forming a space zero spectral function, and a polynomial rooting method is adopted to obtain an azimuth angle. The method can achieve quick estimation on the arriving direction of the monostatic MIMO radar based on the random array manifolds, is small in operation quantity, and can be used for target locating and radar tracking.

Description

technical field [0001] The invention belongs to the field of radar technology, and in particular relates to direction-of-arrival estimation of a single-base multiple-input multiple-output MIMO radar, which can be applied to target orientation and radar tracking. Background technique [0002] MIMO radar can make full use of the waveform diversity gain, increase the degree of freedom of the system, improve its spatial resolution, improve the accuracy of parameter estimation and increase the maximum number of targets that can be located by the system. In recent years, MIMO radar has developed very rapidly, and the DOA method for direction of arrival estimation is the key issue of MIMO radar research. Among various array structures, the uniform linear array has become the basis of MIMO radar DOA algorithm research because of its simple structure, easy implementation, and the ability to use various fast DOA algorithms. However, a one-dimensional uniform linear array can only pro...

Claims

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Application Information

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IPC IPC(8): G01S7/02
Inventor 曹运合陈婷姜婕王敏王胜华彭志刚
Owner XIDIAN UNIV
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