Millimeter wave radar angle super-resolution method

Abstract

The invention discloses a millimeter wave radar angle super-resolution method. The method comprises the following steps: acquiring sampling data; performing FFT processing on the sampling data to obtain a distance phase sequence and a first signal covariance matrix; adding the first signal covariance matrix, and reconstructing to obtain a second signal covariance matrix; decomposing the second signal covariance matrix into a signal subspace matrix and a noise subspace matrix, and solving a weight vector; reconstructing a noise subspace matrix by using the weight vector, and processing a signal subspace matrix by using a generalized inverse matrix; and forming a spatial spectral density function equation by using the subspace matrix, wherein the angle is traversed to find a peak to estimate the angle. The millimeter wave radar is low in transmitting power, high in resolution and sensitivity and small in radar size, the MUSIC algorithm is optimized through information of the signal subspace and the noise subspace, the angular resolution is improved, and the detection capacity of the radar in a long-distance mode is remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a millimeter-wave radar angle super-resolution method. Background technique [0002] In recent years, the application scope of vehicle-mounted millimeter-wave radar has been greatly expanded, and millimeter-wave radar is widely used in blind spot alarm, reversing warning and assisted driving. However, limited by the size, power, and antenna design of the vehicle-mounted radar, the vehicle-mounted millimeter-wave radar cannot effectively distinguish multiple targets with the same radial distance, similar tangential distance, and similar speed in the long-distance mode. As a result, the angular resolution of the radar is reduced, which affects the performance of the radar. The main lobe of the spatial spectrum formed by the commonly used MUSIC algorithm is large, and it is easy to cover up two targets with similar angles, and the improvement of the diagonal resolution is...

AI Technical Summary

Problems solved by technology

However, limited by the size, power, and antenna design of the vehicle-mounted radar, the vehicle-mounted millimeter-wave radar cannot effectively distinguish multiple targets with the same radial distance, similar tangential distance, and similar speed in the long-distance mode. The angular resolution of the radar is reduced, which affects the performance of the radar

The main lobe of the spatial spectrum formed by the commonly used MUSIC algorithm is large, and it is easy to cover up two targets with similar angles, and the improvement of the diagonal resolution is limited

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