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High-resolution two-dimensional parameter estimation method

A high-resolution, parametric technology, applied in the field of high-resolution two-dimensional parameter estimation, which can solve problems such as decreased accuracy and performance.

Inactive Publication Date: 2015-03-04
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

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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 th...

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Abstract

The invention discloses a high-resolution two-dimensional parameter estimation method, and belongs to the technical field of radars. According to the method, data received by each sensor channel of an antenna is recorded through sampling, the sampled data is ranged into a column vector mode, correlation matrixes are formed in the time domain, the space domain and the delay domain, the correlation matrixes are subjected to de-noising processing, a signal subspace is calculated by a cyclical characteristic decomposition method, a noise subspace is solved through signal and noise subspace relationship, a projection matrix of the noise subspace is obtained, the target azimuth and pitch information are subjected to inverse solution on the basis of the projection matrix, the problem of sudden performance reduction during the signal subspace and noise subspace distinguishing by a conventional MUSIC method is avoided, and the accuracy for determining the azimuth angle and the pitch angle of a signal source is improved.

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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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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