RAE-HT-TBD accumulation detection method for hypersonic-velocity weak target in three-dimensional space

Abstract

The invention discloses an RAE-HT-TBD accumulation detection method for a hypersonic-velocity weak target in a three-dimensional space, which belongs to the field of radar target detection. The problem on how to precisely detect a hypersonic-velocity weak target in a near space is solved through hierarchical dimension-reduced Hough transform and track merging. The method includes the following steps: (1) preprocessing initial threshold data; (2) normalizing time plane data; (3) discretizing and initializing a Hough transform parameter space; (4) carrying out two-dimensional Hough transform in a radial distance-time plane, in an azimuth-time plane and in an elevation-time plane in turn; (5) carrying out energy accumulation and peak detection in the parameter space; (6) inversely mapping Hough transform to a data space; and (7) carrying out plot temporal sequence association and track merging to further eliminate false plots and get a final test track. The method of the invention needs less calculation, is of high detection probability, can be used to solve the problem on how to precisely detect a hypersonic-velocity weak target in a near space, and is easy to implement in engineering.

Description

technical field [0001] The invention belongs to the field of radar target detection and is used for solving the detection problem of hypersonic weak targets in three-dimensional space. Background technique [0002] In the research on early warning and detection of near-space targets, on the one hand, the hypersonic characteristics of near-space vehicles enable them to strike any target in the world within two hours; on the other hand, the hypersonic motion of near-space vehicles produces The wave plasma will seriously attenuate the radar cross-sectional area of ​​the target, resulting in a very weak target echo, thus enabling the target to obtain a strong stealth performance and further increasing the difficulty of radar detection. The above two characteristics of near-space vehicles make it difficult for existing early warning systems to effectively intercept them. Therefore, it is of great significance to study the detection and tracking of hypersonic weak targets in near...

AI Technical Summary

Problems solved by technology

At present, the HT-TBD accumulation detection method for three-dimensional space target detection mainly adopts two methods: direct transformation method and projection mapping method: since a straight line in three-dimensional space requires at least four parameters for analytical representation, the parameter space corresponding to the three-dimensional Hough transform is directly carried out At least in four-dimensional space, the high-dimensional parameter space produces a large computational burden, which is not conducive to practical engineering applications; the projection mapping method projects the three-dimensional point traces to multiple Cartesian coordinate planes under the xyz coordinate system to perform two-dimensional Hough transformation and fuses the planes The final three-dimensional detection track is obtained from the detection results. Although the dimensionality reduction mapping process reduces the amount of calculation, there are two main defects in this projection method: on the one hand, this projection transformation mechanism is very easy to accumulate noise on each Cartesian coordinate plane, thus The signal-to-noise ratio loss is generated, and the signal-to-noise ratio loss increases approximately logarithmically with the increase of the observation area; Coupling issues, even small angular measurement errors can lead to large lateral errors

For example, if the radar angle measurement error is 0.2°, and the radial distance of the target is 600km, the standard deviation of the target lateral error can reach 2.1km. Cartesian Coordinate Plane Hough Transform is Difficult to Realize Effective Detection of Long-distance Objects in Near Space

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