Method for direction of arrival estimation of coherent source of single-base MIMO radar

A direction-of-arrival estimation and direction-of-arrival technology, applied in the radar field, can solve problems such as large amount of calculation, deterioration of resolution performance, and decline of coherent source resolution ability, and achieve the effect of reducing the amount of calculation

Inactive Publication Date: 2014-04-30
XIDIAN UNIV
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the most basic angle super-resolution estimation method is the multi-signal classification MUSIC method. Although this method can work in any array manifold, it needs to search the angle in the whole space, and the calculation load is very large.
In addition, the subspace-type high-resolution DOA estimation algorithm represented by the MUSIC algorithm has good resolution performance and high estimation accuracy for incoherent spatial sources, but its resolution performance gradually decreases with the increase of the correlation degree between spatial sources. deterioration
[0004] The traditional array spatial smoothing algorithm is a commonly used preprocessing method to deal with coherent sources

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for direction of arrival estimation of coherent source of single-base MIMO radar
  • Method for direction of arrival estimation of coherent source of single-base MIMO radar
  • Method for direction of arrival estimation of coherent source of single-base MIMO radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] refer to figure 1 , the invention of the monostatic MIMO radar coherent source direction of arrival estimation method, the specific implementation steps are as follows:

[0031] Step 1, according to the array manifold of the monostatic MIMO radar, obtain the array steering vector A(θ).

[0032] Assuming that the single-base MIMO radar array has N array elements (the N array elements are shared by the transceiver), according to the array element distribution, the polar coordinates of each array element can be obtained as (r n ,β n ), n=1,2,...N, N is the number of array elements;

[0033] According to the polar coordinates of each array element (r n ,β n ), to get the transmit steering vector a of the MIMO radar array t (θ) and receiving steering vector a r (θ) are respectively:

[0034] a t ( θ ) = [ e ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of radars and discloses a method for direction of arrival estimation of a coherent source of a single-base MIMO radar. The method can be used for goal orientation and tracking of the single-base MIMO radar with any array manifold. The method is implemented in the following steps: step 1, a guiding vector of the single-base MIMO radar is written according to the array manifold; step 2, an M-dimension Vandermonde vector is set, and a transfer matrix G is obtained; step 3, a transformed guiding vector is obtained through a smooth transformation matrix F; step 4, matched filtering is conducted on received data of the MIMO radar, the received data obtained after matched filtering are recorded as X(k), transformed data Y(k)=FGX(k) are obtained through the transfer matrix G and the smooth transformation matrix F, and then an autocorrelation matrix is formed; step 5, eigen-decomposition is conducted on the autocorrelation matrix, and then a noise subspace is formed; step 6, a space zero spectral function is formed through the noise subspace; step 7, the polynomial rooting method is adopted to obtain a target azimuth angle.

Description

technical field [0001] The invention belongs to the field of radar technology, and in particular relates to any single-base MIMO radar coherent source direction-of-arrival estimation method, which can be used for target orientation and tracking of single-base MIMO radars with arbitrary array manifolds. Background technique [0002] Multiple-input multiple-output radar (MIMO radar) makes full use of waveform diversity gain to improve its spatial resolution, improve parameter estimation accuracy 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 method of direction of arrival (DOA) 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 li...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01S7/02
CPCG01S7/288G01S13/284
Inventor 曹运合王胜华苏洪涛谢荣王敏张子敬
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products