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DOA-polarization information joint estimation method based on incomplete electric vector sensor

A technology of joint estimation and polarization information, applied in the measurement of electrical variables, instruments, measuring devices, etc., to achieve the effect of flexible algorithm, small calculation amount, and high estimation accuracy

Pending Publication Date: 2022-03-01
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0006] The object of the present invention is to provide a DOA-polarization information joint estimation method based on the incomplete electric vector sensor at least in order to solve the technical problem that does not depend on the noise subspace

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  • DOA-polarization information joint estimation method based on incomplete electric vector sensor
  • DOA-polarization information joint estimation method based on incomplete electric vector sensor
  • DOA-polarization information joint estimation method based on incomplete electric vector sensor

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with accompanying drawing.

[0026] Such as figure 1 A DOA-polarization information joint estimation method based on the incomplete electric vector sensor, comprising the following steps:

[0027] Step 1: Model the electric vector of the electromagnetic signal in space:

[0028] Generate the envelope S(t) of the chirp signal according to the preset number of snapshots, number of sources, modulation frequency, carrier frequency, bandwidth, and sampling rate; set the elevation angle θ and azimuth angle of the non-coherent information source The four electromagnetic signal parameters of auxiliary polarization angle γ and polarization phase difference η; set the relevant parameters of the array, two parallel arrays x 1 and x 2 , Array element spacing d.

[0029] Such as image 3 Define the pitch angle θ as the angle between the incident electromagnetic signal and the positive direction of the z-axis,...

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Abstract

The invention discloses a DOA-polarization information joint estimation method based on an incomplete electric vector sensor. The performance of the existing parameter estimation algorithm applied to the incomplete electromagnetic vector sensor is severely reduced under the condition of low signal-to-noise ratio. In addition, most algorithms need spectrum searching or parameter matching, and therefore the calculation process is extremely complex. The method comprises the following steps of: 1, dividing two sub-arrays, and performing operation on the basis of a cross-correlation matrix of the two sub-arrays; and 2, the parameter estimation performance under the condition of low signal-to-noise ratio is greatly improved, spectrum search or parameter matching is not required by the algorithm, the calculation speed is further improved, and the effectiveness of the algorithm on signal DOA and polarization parameter estimation is verified by a simulation experiment result.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a DOA (Direction Of Arrival)-polarization information joint estimation method based on an incomplete electric vector sensor. Background technique [0002] Polarization-sensitive array is an important branch of array signal processing field, which is widely used in communication, radar, military and many other fields. Compared with scalar arrays, polarization-sensitive arrays have stronger anti-interference ability, more robust detection ability, and higher resolution ability. [0003] The number of receiving channels of a complete electromagnetic vector sensor is six times that of a scalar sensor, and the magnetic ring and the electric dipole are on the same array element. These characteristics make the calculation of the polarization sensitive array not only more complex than the scalar array, but also more Severe mutual coupling effects limit the pr...

Claims

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Application Information

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IPC IPC(8): G01R29/08
CPCG01R29/0892
Inventor 陈志坤吴美婵王文亮刘淳熙
Owner HANGZHOU DIANZI UNIV
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