本文選題：“北斗”衛(wèi)星導(dǎo)航系統(tǒng)　切入點(diǎn)：頻率估計(jì)　出處：《電訊技術(shù)》2017年08期 　論文類型：期刊論文

【摘要】：高動(dòng)態(tài)環(huán)境下的"北斗"導(dǎo)航信號(hào)含有較大的多普勒頻率及其變化率,傳統(tǒng)鎖相環(huán)(PLL)在跟蹤時(shí)難以保證較高的跟蹤精度。在分析高動(dòng)態(tài)環(huán)境下"北斗"信號(hào)模型的基礎(chǔ)上,提出了一種基于交互式多模型-擴(kuò)展卡爾曼濾波(IMM-EKF)的自適應(yīng)濾波算法,對(duì)載波相位及其高階分量進(jìn)行估計(jì)。IMM-EKF采用多個(gè)跟蹤模型來(lái)解決濾波過(guò)程中單個(gè)模型不準(zhǔn)確的問(wèn)題,并結(jié)合改進(jìn)的SageHusa自適應(yīng)算法,在線估計(jì)和修正過(guò)程噪聲及測(cè)量噪聲的統(tǒng)計(jì)特性,增強(qiáng)了濾波的穩(wěn)定性。仿真結(jié)果表明,IMM-EKF相比于PLL和EKF,估計(jì)精度更高,算法穩(wěn)定性更強(qiáng)。
[Abstract]:The "Beidou" navigation signal in high dynamic environment contains a large Doppler frequency and its changing rate, so it is difficult for the traditional PLL to ensure a high tracking accuracy when tracking. Based on the analysis of the "Beidou" signal model in the high dynamic environment, An adaptive filtering algorithm based on interactive multi-model-extended Kalman filter (IMM-EKF) is proposed, in which the carrier phase and its high-order components are estimated by using multiple tracking models to solve the problem of inaccuracy of single model in the filtering process. Combined with the improved SageHusa adaptive algorithm, the statistical characteristics of process noise and measurement noise are estimated and corrected on line, and the stability of the filter is enhanced. The simulation results show that the estimation accuracy of IMM-EKF is higher than that of PLL and EKF, and the stability of the algorithm is stronger than that of PLL and EKF.
【作者單位】： 裝備學(xué)院光電裝備系;裝備學(xué)院科研部;
【分類號(hào)】：TN967.1

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本文編號(hào)：1592785