Low-complexity two-dimensional angle and polarization parameter joint estimation method

A two-dimensional angle, polarization parameter technique

Active Publication Date: 2016-02-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

However, this algorithm is performed separately when estimating each parameter, so an additional pairing algorithm is required, and when the pairing is wrong, it will lead to parameter estimation errors
In order to realize the automatic pairing of parameter estimation, ChenFang-Jiong et al. used three concentric and orthogonal electric dipoles and three current loops to form a uniform planar array, which increased the cost of system hardware implementation, and the parameter estimation process involved matrix For complex operations such as SVD, the amount of calculation is still large

Method used

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Embodiment 1

[0035] The parameter estimation performance of the present invention is simulated with the change of input signal signal-to-noise ratio:

[0036] Embodiment 1, adopt as attached figure 2 As shown, a 4×4 uniform planar square array is composed of 16 pairs of crossed dipoles. The distance between the array elements is half a wavelength. The origin of the coordinate system is used as the reference array element. The two signals are separated by different two-dimensional angle-polarization pairs. (10, 20, 40, 20) and (12, 60, 20, 10) are incident on the array, the number of sampling snapshots is 200, 500 Monte Carlo experiments are performed, and the parameter estimation RMSE calculation is performed.

[0037] The signal power estimation method in embodiment 1 comprises the following steps:

[0038] (1) Calculate the covariance matrix of the data received by the array, and perform EVD on it to obtain the signal subspace V s and polarization-sensitive array generalized array ma...

Embodiment 2

[0045] The parameter estimation performance of the present invention is simulated with the variation of the number of snapshots:

[0046] Embodiment 2, adopt as attached figure 2 As shown, a 4×4 uniform planar square array is composed of 16 pairs of crossed dipoles. The distance between the array elements is half a wavelength. The origin of the coordinate system is used as the reference array element. The two signals are separated by different two-dimensional angle-polarization pairs. (10, 20, 40, 20) and (12, 60, 20, 10) are incident on the array, the signal-to-noise ratio of the input signal is 10dB, and 500 Monte Carlo experiments are performed to calculate the parameter estimation RMSE.

[0047] Its specific implementation steps are similar to , and will not be listed in detail here, only the simulation results are given. It can be seen that the low-complexity two-dimensional angle and polarization parameter joint estimation method proposed by the present invention can ...

Embodiment 3

[0049] Under different numbers of information sources, the comparison of the parameter estimation performance of the present invention:

[0050] Embodiment 3, adopt as attached figure 2 As shown, a 4×4 uniform planar square array is composed of 16 pairs of crossed dipoles. The distance between the array elements is half a wavelength, and the origin of the coordinate system is used as the reference array element. The three signals are in different two-dimensional angle-polarization pairs. (10, 20, 40, 20), (12, 60, 20, 10) and (14, 30, 60, 40) are incident on the array, the number of sampling snapshots is 200, and 500 Monte Carlo experiments are performed. Parameter estimation RMSE calculation.

[0051] Its specific implementation steps are similar to , and will not be listed in detail here, only the simulation results are given. It can be seen that with the increase of the number of information sources, under the same conditions, the estimation performance of each paramete...

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Abstract

The invention provides a low-complexity two-dimensional angle and polarization parameter joint estimation method. Cross electric dipoles are adopted to form a uniform plane square matrix in an XOY coordinate system to receive signals. Firstly, an array manifold matrix of an X axis is solved from a covariance matrix of received data by fully utilizing the rotation invariant characteristic of a receiving array. Then, an array manifold matrix and a polarization-sensitive matrix of a Y axis are gradually solved by utilizing the characteristic of a Kronecker product between vectors. Finally, a DOA parameter and a polarization parameter are solved by comprehensively considering relationships between internal elements of the three matrixes. In a parameter solution process, the parameters can be automatically paired by utilizing the characteristic of the Kronecker product between the vectors, and an additional algorithm is not needed; since the computation process only relates to the multiply-add operation between the matrixes, relative to other automatic pairing algorithms, the complex operation such as matrix SVD is avoided, the computation complexity is effectively reduced and the quick realization is facilitated.

Description

technical field [0001] The invention belongs to the field of array signal processing, in particular to joint estimation of two-dimensional angle and polarization parameters. Background technique [0002] Compared with ordinary arrays, polarization-sensitive arrays have superior system performance: strong anti-interference ability, robust detection ability, high resolution ability and polarization multiple access ability, and have wider application prospects, such as increasingly complex The electronic warfare environment, the increasing demand for communication services, etc. Polarization-sensitive array signal processing has aroused more and more research interests of scholars, and it has become increasingly active since the 1990s, and has gradually become a new hotspot in the research of array signal processing. [0003] The joint estimation of signal angle and polarization parameters based on polarization-sensitive array is an important research content of polarization-s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 袁晓垒甘露江海龙廖红舒张花国
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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