Algorithm Used to Detect Weak Signals Covered by Noise in PIND

作者: G. T. Wang , X. W. Liang , Y. Y. Xue , C. Li , Q. Ding

DOI: 10.1155/2019/1637953

关键词: SpacecraftPhysicsAlgorithmAttenuationSearch engineImaginationIterative methodAperiodic graphNormalization (statistics)Electronic component

摘要: Detection of the loose particles is urgently required in spacecraft production processes. PIND (particle impact noise detection) most commonly used method for detection aerospace electronic components. However, when mass smaller than 0.01 mg, weak signals are difficult to be detected accurately. In this paper, aperiodic stochastic resonance (ASR) firstly detect particles. The particle signal simulated by oscillation attenuation signal. influences structure parameters on potential height and performance ASR studied a numerical iteration method. cross-correlation coefficient between input output chosen as criterion whether there an existing or not. Through normalization, signal-labeled high frequency 135 kHz converted into low-frequency band, which can According algorithm, covered could detected. experimental results show that accuracy 66.7%. This algorithm improves range effectively.

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