Abstract
Space-based early warning system, the main detection means of which is passive detection based on focal plane, is an important part of ballistic missile defense system. The focal plane is mainly composed of CCD, and its size can reach the micron level, so the pixel is often regarded as point of no area in image postprocessing. The design of traditional tracking methods is based on this, and the observation based on the focal plane is modeled as the azimuth with random noise. However, this modeling is inaccurate. In the context of space-based detection, CCD cannot be simplified as a point, and its size should be considered. And the corresponding observation cannot be treated as azimuth with random noise. In this paper, the observation based on focal plane is modeled as Unambiguously Generated Ambiguous (UGA) measurement. The PHD filter algorithm is redesigned and simplified. The simulation results show that the algorithm based on UGA measurement observation model has better tracking effect compared with that based on traditional observation model. This method provides technical support for more accurate target tracking for space-based early warning system.
Highlights
The world has always attached great importance to the development of space-based early warning system to deal with the threat of ballistic missile
After investigating a variety of detection and tracking algorithms based on space-based early warning system, it is found that the infrared passive detection is mostly used in which the direction of arrival (DOA) is detected
The Unambiguously Generated Ambiguous (UGA) measurement observation model based on focal plane imaging is studied
Summary
The world has always attached great importance to the development of space-based early warning system to deal with the threat of ballistic missile. There are many research works about detection and tracking capability of space-based early warning system and specific target detection and tracking algorithms [8, 9]. In ordinary application the small pointing error may not have a significant impact, but it has a completely different effect in space-based detection. It is for this reason that accurate modeling of space-based infrared detection is proposed, and tracking filter based on this observation model is designed.
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