Distributed array target angle measurement method for high-frequency ground wave radar

Abstract

The invention provides a distributed array target angle measurement method for a high-frequency ground wave radar. The distributed array target angle measurement method for the high-frequency ground wave radar is characterized by comprising the steps of: (1), performing range Doppler processing on received echo of the array element of each radar sub-array; (2), performing data covariance matrix sparse-representation modelling; (3), performing conversion of an optimization problem to be solved; (4), performing internal cylinder to update a signal power estimation value; and (5), performing external cylinder to update a cost function, and finally obtaining target angle estimation. Compared with the traditional radar array, the distributed array adopted in the invention is flexible to arrangeand convenient to perform site selection; furthermore, the direction finding performance of the traditional array having relatively large aperture can be realized only through few array elements; according to the angle measurement method provided in the invention, only the single snapshot of a range Doppler domain is at least needed; the known target number and any artificial parameter adjustmentare unnecessary; and the direction finding performance is also obviously superior to that of the traditional radar angle measurement method.

Description

technical field [0001] The invention relates to the technical field of radar target angle measurement, in particular to a distributed array target angle measurement method for high-frequency ground wave radar. Background technique [0002] Radar target angle measurement technology is an important research topic in the field of radar signal processing. Traditional high-frequency radar angle measurement generally still uses beamforming technology, but limited by the array aperture, its angle measurement accuracy and resolution are low. In order to improve the performance of direction finding, an angle measurement method based on modern super-resolution spectrum estimation technology was proposed. However, due to the particularity of the high-frequency radar system with a large number of targets and unknown numbers, and strong coherence of echo signals, such methods cannot The application is still subject to many limitations, such as the need to know the number of targets, and...

AI Technical Summary

Problems solved by technology

In order to improve the performance of direction finding, an angle measurement method based on modern super-resolution spectrum estimation technology was proposed. However, due to the particularity of the high-frequency radar system with a large number of targets and unknown numbers, and strong coherence of echo signals, such methods cannot The application is still subject to many limitations, such as the need to know the number of targets, and the de-correlation interprocessing step when processing coherent signals requires a specific array form, etc.

Although some direction finding methods based on sparse representations that have emerged in recent years can solve the above problems, their limitations are that their performance largely depends on one or more adjustable hyperparameters. In the actual situation of unknown noise variance It is difficult to adjust this parameter to the optimum to obtain satisfactory performance

In addition, in order to further improve the angle measurement performance, the traditional radar array needs more receiving elements to increase the array aperture, but this will lead to harsh site requirements and significantly increase hardware costs

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