高精密航天器多余物检测算法研究

Detection Algorithm of Remainder in High-Precision Spacecraft

摘要:

高精密航天器中内部活动多余物的存在是降低航天器可靠性的重要因素。针对现有多余物检测算法在较强环境噪声下难以有效检测出多余物信号脉冲并排除可动组件干扰的问题，提出了一种基于谱减法去噪、两级脉冲提取和脉冲发生序列周期性分析的高精密航天器多余物检测算法。利用谱减法实现对环境噪声的有效抑制；采用两级脉冲提取法对多余物信号与可动组件信号进行脉冲提取；通过对脉冲发生序列进行周期性分析，以周期信号相似度作为区分多余物信号和可动组件信号的判别依据，从而实现对多余物有无的检测。试验验证表明，该算法能有效检测航天器内多余物与可动组件的存在情况，识别准确率可达96％。

Abstract:

The presence of internal moving remainder in high-precision spacecraft is an important factor to reduce the reliability of spacecraft. Aiming at the problem that the existing remainder detection algorithm was difficult to effectively detect the remainder pulse and eliminate the interference of the movable component under relatively strong environmental noise, an algorithm for detecting the remainder of high-precision spacecraft based on spectrum subtraction denoising, two-stage pulse extraction and periodic analysis of pulse generation sequences was proposed. The spectrum subtraction method was used to achieve effective suppression of environmental noise. The two-stage pulse extraction method was used to extract the pulse of the remainder signal and the movable component signal. By analyzing the periodicity of the pulse generation sequence, the periodic signal similarity was used as the discrimination basis for distinguishing the remainder signal and the movable component signal; thereby the detection of the remainder was realized. The experimental verification shows that the proposed algorithm can effectively detect the existence of remainder and movable components in the spacecraft, and the recognition accuracy can reach 96％.