Large-aperture distributed multi-station target positioning method for high-frequency ground wave radar

Abstract

The invention provides a large-aperture distributed multi-station target positioning method for a high-frequency ground wave radar. The large-aperture distributed multi-station target positioning method for the high-frequency ground wave radar comprises the steps of: (1), performing data snapshot extraction of a range Doppler processing domain of each receiving array element in each radar sub-station; (2), performing data block sparse-representation modelling and cost function construction; (3), performing alternative optimization solution of the signal power vector; and (4), obtaining a two-dimensional coordinate space spectrum, and realizing target positioning by utilizing the spectrum peak position. According to the target positioning method provided in the invention, only data snapshotof the single distance Doppler domain is at least needed; the known target number does not need to be prior; parameters do not need to be artificially adjusted; compared with the traditional radar multi-station target positioning method, the maximum target number is not limited by the array element number in the sub-station in the method; furthermore, the aperture advantage of the distributed multi-station array is effectively utilized; and the target positioning precision is relatively high.

Description

technical field [0001] The invention relates to the technical field of radar target positioning, in particular to a large-aperture distributed multi-station target positioning method for high-frequency ground wave radar. Background technique [0002] Target localization technology is a hot topic in the field of array signal processing in recent years. In the high-frequency ground wave radar system, the traditional target positioning is mainly realized by joint ranging and angle measurement of single station data, but the ranging accuracy is limited by the bandwidth of the transmitted signal, and the angle measurement accuracy is limited by the array aperture. Both of them are difficult to achieve satisfactory accuracy, resulting in poor final positioning performance. With the development of modern spectral estimation technology, a large number of multi-station positioning algorithms based on angle information have emerged in recent years, mainly including the following two ...

AI Technical Summary

Problems solved by technology

In the high-frequency ground wave radar system, the traditional target positioning is mainly realized by joint ranging and angle measurement of single station data, but the ranging accuracy is limited by the bandwidth of the transmitted signal, and the angle measurement accuracy is limited by the array aperture. problem, both are difficult to achieve satisfactory accuracy, resulting in poor final positioning performance

With the development of modern spectral estimation technology, a large number of multi-station positioning algorithms based on angle information have emerged in recent years, mainly including the following two types: The first type of method first uses the super-resolution direction-finding algorithm to estimate the angle of the target arriving at each station, and then uses Geometric relationship is used to solve the position information, so as to achieve target positioning, but on the one hand, for long-distance targets, a small angle deviation may cause a large positioning error, because each direction finding only utilizes the small position of each substation Aperture, this type of algorithm often cannot obtain high positioning performance. On the other hand, the maximum number of targets that can be processed is limited by the number of sub-array elements; another type of method uses the entire array information composed of multiple stations to directly target Positioning, although the accuracy has been improved, but its application often has many limitations, such as the need for more data snapshots, the need to know the number of sources, and the inability to process coherent signals. Therefore, in the special application background of high-frequency ground wave radar There are still significant limitations

Images