多運動站異步觀測條件下的直接定位算法
doi: 10.11999/JEIT160314
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1.
(海軍航空工程學(xué)院電子信息工程系 煙臺 264001) ②(海軍航空工程學(xué)院科研部 煙臺 264001)
Direct Position Determination Using Asynchronous Observations of Multiple Moving Sensors
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1.
(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)
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2.
(Scientific Research Department, Naval Aeronautical and Astronautical University, Yantai 264001, China)
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摘要: 針對多運動站無源融合定位系統(tǒng)中的異步觀測問題,該文提出一種基于空間譜分析的直接定位算法。首先利用子空間分析理論建立異步觀測直接定位模型,構(gòu)造多站協(xié)同定位聯(lián)合空間譜函數(shù),采用多級搜索方法實現(xiàn)定位解算。然后推導(dǎo)了該算法的定位誤差協(xié)方差矩陣及克拉美羅下限。最后對該算法在異步觀測條件下的定位性能進行蒙特卡洛仿真。仿真結(jié)果表明算法定位精度能夠逼近克拉美羅下限,定位性能優(yōu)于基于定位參數(shù)的分步定位算法,尤其在低信噪比情況下優(yōu)勢更明顯。Abstract: A Direct Position Determination (DPD) algorithm based on spatial spectrum analysis for the issue of asynchronous observation in the multiple moving sensors passive fusion location system is proposed. At first, a direct determination mathematical model of the asynchronous scene is constructed and a multiple sensors cooperative spatial spectrum function is composed. Furthermore, the position of the emitter can be got by a two or three dimensional search, and then the derivations of the estimators variance and the Cramer-Rao Lower Bound (CRLB) are given. Finally, the Monte Carlo simulations over the asynchronous scene indicate that the accuracy of the proposed method is close to the Cramer-Rao lower bound and superior to the two-step location method based on the location parameters, especially in the low SNR.
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