本文選題：X射線脈沖星導(dǎo)航 + 時間延遲估計(jì)��； 參考：《物理學(xué)報(bào)》2016年11期

【摘要】：為提高X射線脈沖星導(dǎo)航中累積脈沖輪廓的時間延遲估計(jì)精度,分析了X射線脈沖星累積脈沖輪廓的頻譜特性和現(xiàn)有Taylor快速傅里葉變換時延估計(jì)算法的缺陷,提出了一種基于最優(yōu)頻段的累積輪廓時延估計(jì)算法,并通過建立不同信噪比下時延估計(jì)誤差與所采用頻段之間的關(guān)系以確定最優(yōu)頻段.數(shù)值及實(shí)測數(shù)據(jù)實(shí)驗(yàn)結(jié)果表明:在短時觀測或光子流量較小時,該算法優(yōu)于常用的近似最大似然(FAML)、相關(guān)(CC)、最小二乘(NLS)及加權(quán)最小二乘(WNLS)方法;在觀測時間較長或光子流量較大時,該算法的估計(jì)精度與CC及NLS方法相當(dāng),但其運(yùn)算量低于NLS,FAML及WNLS方法.本文所提算法適用于短時觀測脈沖輪廓或低流量脈沖星的高精度時延估計(jì).
[Abstract]:In order to improve the accuracy of time delay estimation of cumulative pulse profile in X-ray pulsar navigation, the spectral characteristics of cumulative pulse profile of X-ray pulsar and the defects of existing Taylor fast Fourier transform (FFT) time-delay estimation algorithms are analyzed. A cumulative contour time delay estimation algorithm based on optimal frequency band is proposed, and the optimal frequency band is determined by establishing the relationship between the delay estimation error and the frequency band under different SNR. The experimental results show that the proposed algorithm is superior to the approximate maximum likelihood (FAML), correlation (CC), least squares (NLS) and weighted least squares (WNLS) methods for short time observation or small photon flux. When the observation time is longer or the photon flux is larger, the estimation accuracy of this algorithm is similar to that of CC and NLS methods, but its computational complexity is lower than that of NLSS-FAML and WNLS methods. The algorithm proposed in this paper is suitable for high precision time delay estimation of short-time observed pulse profiles or low-flow pulsars.
【作者單位】： 西安電子科技大學(xué)空間科學(xué)與技術(shù)學(xué)院;
【分類號】：P128.4
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本文編號：2090431