【摘要】 针对飞行数据降噪问题,提出了增强小波系数的飞行数据奇异值阈值降噪算法。结合小波系数噪声自相关函数进行飞行数据的最佳分解层小波分解,对高频小波系数先进行增强预处理再进行SVD分解,运用奇异熵理论确定奇异值重构阶次,采用奇异值阈值对小波系数进行处理并重构,得到降噪数据。仿真实验表明,本文算法能获得较高的信噪比,改善了数据质量。更多还原

【Abstract】 Aiming at the noises elimination for flight data,a novel flight data de-noising algorithm combined with enhanced wavelet coefficients and threshold shrinkage based on singular value decomposition in wavelet transform is proposed.The noisy flight data is decomposed into wavelet domain according to optimal decomposition scale which is got by using noise autocorrelation function.The enhancing process followed with singular value decomposition is employed to detail coefficients.The reasonable construction order is obtained according to the singular entropy theory of singular spectrum and the de-noised detail coefficients are achieved by singular value threshold shrinkage and anti-enhancing process.The last de-noised signals can be acquired through inverse Wavelet Transform.Numerical experiments used into simulated data and flight data confirm the better performance of noise reduction and data quality improvement.更多还原