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

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 ...

AI Technical Summary

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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