Meter-wave radar low-elevation height measurement method based on robust principal component analysis noise reduction

A technology of principal component analysis and meter wave radar, which is applied in the direction of radio wave measurement system, measurement device, radio wave reflection/reradiation, etc., can solve the problems of low signal-to-noise ratio, degradation of angle measurement performance, difficult to meet, etc., to achieve High angle measurement stability, good angle resolution, and the effect of improving angle measurement stability

Pending Publication Date: 2022-07-29
XIDIAN UNIV
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Problems solved by technology

However, under the influence of non-uniform Gaussian noise, the angle measurement performance of this kind of algorithm is degraded, and it is difficult to meet the conditions of low signal-to-noise ratio and few snapshots
[0004] In summary, the existing metric-wave radar low-elevation altimetry algorithm in the background of non-uniform Gaussian noise has low angle resolution and low angle estimation accuracy, and it is difficult to maintain a good DOA estimation under the conditions of low signal-to-noise ratio and few snapshots performance problem

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  • Meter-wave radar low-elevation height measurement method based on robust principal component analysis noise reduction
  • Meter-wave radar low-elevation height measurement method based on robust principal component analysis noise reduction
  • Meter-wave radar low-elevation height measurement method based on robust principal component analysis noise reduction

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Embodiment 1

[0080] please participate figure 1 , figure 1 A schematic flowchart of a low-elevation-angle altimetry method for metric-wave radar based on robust principal component analysis noise reduction provided by an embodiment of the present invention, the method includes the steps:

[0081] S1. The array received signal of the metric wave radar is modeled as a two-dimensional received signal matrix, and the array received signal model is obtained.

[0082] See figure 2 , figure 2 This is a schematic diagram of a received signal model of a metric wave radar according to an embodiment of the present invention. Suppose there are K far-field narrow-band incoherent source signals incident from different directions into a uniform linear array composed of M vertically placed isotropic array elements, the array element spacing is d, and the wavelength of the incident signal is λ, d≤λ / 2, the incident angle range is θ k ∈[-90°,90°], k∈[1,2,…,K], then the array received signal model at ...

Embodiment 2

[0181] On the basis of the first embodiment, in order to verify the effectiveness of the method for measuring the height of the metric wave radar at a low elevation angle based on the robust principal component analysis noise reduction, this embodiment is described by the following simulation experiments.

[0182] Simulation conditions: Consider a uniform linear array with 8 elements, the array element spacing is half wavelength, 2 far-field narrowband signals are incident on the antenna array, the signal-to-noise ratio is 10dB, the number of sampling snapshots is 100, and the noise is considered Gaussian In the case of white noise and non-uniform Gaussian noise, the noise under the Gaussian noise background is Gaussian white noise with 0 mean and variance 1; the covariance of the noise under the non-uniform Gaussian noise background is Q=diag{2,7,11,5,3.5 , 13, 5.5, 1.5}.

[0183] Simulation Experiment 1:

[0184] Compare the DOA estimation of the spatial spectrum of the alg...

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Abstract

The invention relates to a meter-wave radar low-elevation height measurement method based on robust principal component analysis noise reduction, and the method comprises the steps: carrying out the modeling of an array receiving signal of a meter-wave radar into a two-dimensional receiving signal matrix, and obtaining an array receiving signal model; establishing a convex optimization model of a low-rank signal matrix and a sparse noise matrix by adopting a noise reduction method based on robust principal component analysis; solving the convex optimization model by using an improved non-precise augmented Lagrangian multiplier method to obtain an optimal low-rank signal matrix without noise pollution; establishing a covariance matrix by using the optimal low-rank signal matrix, and constructing the maximum likelihood estimation of the direct wave elevation direction of arrival in combination with the covariance matrix and the synthetic steering vector to obtain a target elevation estimation value; and calculating the target height by using the target elevation angle estimated value. According to the method, the problems that in the prior art, under the conditions of non-uniform noise, low signal-to-noise ratio and few snapshots, the angle measurement performance is reduced, and the angle resolution is insufficient are solved, and the method has high angle measurement stability and good angle resolution.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a low-elevation-angle height measurement method of meter-wave radar based on robust principal component analysis and noise reduction. Background technique [0002] The meter wave radar was once abandoned by the western radar industry due to its low measurement accuracy and large size, and it was difficult to meet the requirements of high precision, informatization and high mobility in modern battlefields. The demand for anti-stealth has brought new opportunities to the development of metric-wave radar. Countries have begun to develop advanced metric-wave radar and use it as the backbone of anti-stealth equipment. The metric-wave radar is widely used in air defense early warning missions. The role of remote warning, target tracking and indication. However, the metric wave radar is limited by the array aperture and its wavelength, and the beam width is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/88G01S7/41G06K9/00G06K9/62
CPCG01S13/882G01S7/41G06F2218/04G06F18/2135
Inventor 陈伯孝王梅徐赛琴
Owner XIDIAN UNIV
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