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A High-Resolution Two-Dimensional Parameter Estimation Method

A high-resolution, parameter technology, applied in the field of high-resolution two-dimensional parameter estimation, can solve problems such as performance degradation and accuracy degradation, and achieve the effect of avoiding a sharp decline

Inactive Publication Date: 2017-07-11
NORTHWEST UNIV
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Problems solved by technology

[0005] In practical applications, when the signal-to-noise ratio is lower than zero and the number of samples is small, the performance of the classical MUSIC method drops sharply when distinguishing the signal subspace and the noise subspace, resulting in accurate sex decline

Method used

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  • A High-Resolution Two-Dimensional Parameter Estimation Method
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  • A High-Resolution Two-Dimensional Parameter Estimation Method

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Embodiment 1

[0042] The present invention provides a high-resolution two-dimensional parameter estimation method, such as figure 1 As shown, the device includes:

[0043] Step 1: Sampling the signal through the sensor array to obtain the first signal vector x 1 (t), the second signal vector x 2 (t), where x 1 (t)=A 1 s(t)+n 1 (t),x 2 (t)=A 1 Φs(t)+n 2 (t).

[0044] In the implementation, first introduce the model of antenna receiving signal. The antenna consists of M rows and N columns of rectangular sensor array elements with uniform spacing. The distance between adjacent array elements d is less than half a wavelength. The coordinates of the mth sensor (m=1,2,...,MN) in the XOY plane are (x m ,y m ), the antenna can be considered to be composed of two sub-arrays with the same structure, the detailed structure is as figure 1 As shown, the two sub-arrays are rectangular arrays with M rows and N-1 columns. The first sub-array is composed of 1 to M rows and 1 to N-1 columns of the...

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Abstract

The invention discloses a high-resolution two-dimensional parameter estimation method, which belongs to the technical field of radar. The present invention records the data received by each sensor channel of the antenna by sampling, arranges the sampled data into the form of a column vector, forms a correlation matrix in the time domain, space domain and delay domain, performs denoising processing on the correlation matrix, and uses the cyclic eigendecomposition method to calculate The signal subspace solves the noise subspace from the relationship between the signal and noise subspace, and obtains the projection matrix of the noise subspace. Based on the projection matrix, the target azimuth and elevation information is reversed, avoiding the classic MUSIC method in distinguishing the signal subspace and the noise subspace The problem of sharp decline in time performance has improved the accuracy of determining the azimuth and elevation angles of the source.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a high-resolution two-dimensional parameter estimation method. Background technique [0002] The spatial positioning function is one of the key technologies for antenna applications. In order to pursue higher positioning accuracy, according to the similarity between the orientation estimation and the frequency estimation of the time signal, many time-domain nonlinear positioning methods are extended to the spatial orientation estimation to produce the so-called high-resolution orientation estimation method. [0003] Schmidt of the United States proposed the famous multiple signal classification (MUSIC) method, which realized a leap in modern high-resolution orientation estimation technology, thus promoting the rise of the characteristic subspace method. This method uses the singular value decomposition (SVD) of the data matrix or The eigenvalue decomposition (EVD) of the spatial c...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 聂卫科朱从光房鼎益陈晓江
Owner NORTHWEST UNIV
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