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衛星導航多干擾源直接定位方法
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中北大學(xué)信息探測與處理山西省重點(diǎn)實(shí)驗室

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TN911.7

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山西省重點(diǎn)研發(fā)計劃項目(202102010101002);內蒙古自治區科技計劃項目(2022YFSJ0031)


Direct Position Determination of Multiple Interference Sources for Satellite Navigation
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    摘要:

    衛星導航信號到達地面時(shí)非常微弱,容易受到各種干擾,給用戶(hù)帶來(lái)一定的影響;針對此種情況,面向衛星導航系統多干擾源定位場(chǎng)景,傳統兩步定位算法受參數估計精度影響較大, DPD_MVDR算法雖然改進(jìn)了MUSIC算法需要估計目標數這一缺點(diǎn),但由于使用固定網(wǎng)格分辨率,定位精度與計算復雜度二者無(wú)法兼得;針對上述問(wèn)題,提出一種改進(jìn)DPD_MVDR的直接定位方法,在直接定位這一關(guān)鍵技術(shù)上運用自適應網(wǎng)格細化,其最大優(yōu)勢在于只對干擾源位置附近的網(wǎng)格實(shí)現多級細化,能很好地兼顧定位精度與計算復雜度,避免了傳統窮舉搜索帶來(lái)的巨大計算復雜度。首先使用DPD_MVDR算法在粗網(wǎng)格下進(jìn)行位置初始估計,然后在估計位置處進(jìn)行迭代自適應網(wǎng)格細化,在降低計算復雜度的同時(shí),提高定位精度。仿真表明,改進(jìn)算法在100 m網(wǎng)格分辨率下計算復雜度明顯降低且較DPD_MVDR算法定位精度得到明顯提高;適用于對定位精度和定位實(shí)時(shí)性均有一定要求的場(chǎng)景。

    Abstract:

    The satellite navigation signal is very weak when it reaches the ground, and it is susceptible to various interference, which brings certain impact to the user; In view of this situation, for the multi-interference source positioning scenario of satellite navigation system, the traditional two-step positioning algorithm is greatly affected by the parameter estimation accuracy, and the minimum variance distortion response with direct position determination (DPD_MVDR) algorithm, although the multiple signal classification (MUSIC) positioning algorithm needs to estimate the number of targets, due to the use of fixed grid resolution, the positioning accuracy and computational complexity cannot be combined. To solve the above problems, an improved DPD_MVDR direct location method is proposed, and adaptive mesh refinement is used on the key technology of direct location. Its biggest advantage is that it can only achieve multi-level refinement of the grid near the interference source location, which can well balance the positioning accuracy and computational complexity, and avoid the huge computational complexity caused by traditional exhaustive search. Firstly, DPD_MVDR algorithm is used to perform initial location estimation under coarse mesh, and then iterative adaptive mesh refinement is carried out at the estimated location to reduce the computational complexity and improve the positioning accuracy. The simulation results show that the improved algorithm is less complex and more accurate than DPD_MVDR algorithm at 100 m grid resolution. It is suitable for the scenarios that have certain requirements for positioning accuracy and real-time positioning.

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任洋,姚金杰,趙昶淳,鄒宇,薛曉東.衛星導航多干擾源直接定位方法計算機測量與控制[J].,2024,32(4):159-165.

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歷史
  • 收稿日期:2023-10-23
  • 最后修改日期:2023-11-25
  • 錄用日期:2023-11-27
  • 在線(xiàn)發(fā)布日期: 2024-04-29
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