Abstract
The three-dimensional (3D) radar can detect 3D information of air targets, including range, azimuth and height. It is considered as an important equipment of the air defense detection system in various countries. The precision of target height measurement is the key challenge in radar detection due to the influences of the complex background environment of air targets. This paper considers the background knowledge during target detection. By using the background knowledge of radar position meteorological parameters and multi-dimensional radar position RAG maps etc., this paper proposes an integrated software processing method to improve the precision of target height measurement for 3D radar and designs a height confidence evaluation model to improve the fusion precision of height information in the superior command unit of the radar.
Highlights
In the modern warfare, diversified aviation weapons with high and low altitudes can carry out multi-directional, multi-level and three-dimensional attacks to implement strategic strike
Compared with the traditional 2D radar, 3D radar can simultaneously acquire the information of range, azimuth and height to perform three-dimensional coordinate positioning on air targets, which can effectively prevent various types of air attack targets
The height of the detected target is most important in 3D radar and its measurement precision plays a key role in the target positioning and tracking
Summary
In the modern warfare, diversified aviation weapons with high and low altitudes can carry out multi-directional, multi-level and three-dimensional attacks to implement strategic strike. Shu et al [1] propose a target height measurement method for ground-based air-surveillance radar applications via the robust beamspace transformation, considering that all diffuse reflected multipath signals are the interference signals and can be cancelled after beamspace transformation. The comprehensive use of background knowledge improves the precision of target height measured by 3D radar. It is necessary to design a model to evaluate the height confidence of the detected target based on the background knowledge, since the height confidence level of the target is beneficial to improve the fusion precision of the height information of the same target reported by different radars in the superior command unit of the radars
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