一种快速的X射线脉冲星导航时延估计算法

X-ray pulsar navigation technology provides real-time space information for spacecraft by received X-ray photons. The accuracy of time delay estimation of pulse accumulation profile is one of the determinants of navigation accuracy. In order to reduce the computational complexity of the time delay estimation of the integrated pulse profile of X-ray pulsars, a fast time delay estimation method based on Taylor FFT algorithm is proposed in this paper. In order to reduce the computational complexity of the classical Taylor FFT algorithm, this method reduces the computational complexity by reducing the frequency band involved in the calculation. First, the pulse profile is decomposed by wavelet to obtain the low-frequency components with high signal-to-noise ratio, and then the Taylor FFT algorithm is used to estimate the delay of the low-frequency components of the pulse contour. The theoretical analysis and experimental results show that the improved Taylor FFT time delay estimation algorithm can neglect the high-frequency components with more noise, and only use the low-frequency components can greatly reduce the computational complexity while slightly improving the estimation accuracy.