| 改进的超短基线系统自适应相位差估计器 |
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| 引用本文： | 喻敏,丁贤君,张晓亮,祝明思.改进的超短基线系统自适应相位差估计器[J].兵工学报,2021,42(7):1450-1456. |
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| 作者姓名： | 喻敏 丁贤君 张晓亮 祝明思 |
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| 作者单位： | （1.武汉理工大学 交通学院, 湖北 武汉 430070； 2.中国船舶工业系统工程研究院， 北京 100036) |
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| 基金项目： | 国家自然科学基金重点国际合作研究项目（51720105011）；国家自然科学基金青年项目（51709211）；某国防科技重点实验 室开放基金项目（SSDKKFJJ-2018-02） |
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| 摘 要： | 针对传统的自适应相位差估计器，由于采用最小均方（LMS）算法存在收敛速度和稳态精度之间的矛盾，对基于LMS算法的自适应估计器提出改进方法。提出将最小二乘（RLS）算法应用到自适应相位差估计器中，进一步提高自适应估计器的稳定性。数值仿真和实验数据验证结果表明，所提的LMS算法和RLS算法两种自适应相位差估计器均能提高计算精度和收敛速度，其中RLS算法自适应相位差估计器的稳态精度更高。
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| 关 键 词： | 相位差估计器 超短基线 最小二乘算法 最小均方算法 |
Improved Adaptive Phase-difference Estimator for Ultra-short Baseline System |
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| YU Min,DING Xianjun,ZHANG Xiaoliang,ZHU Mingsi.Improved Adaptive Phase-difference Estimator for Ultra-short Baseline System[J].Acta Armamentarii,2021,42(7):1450-1456. |
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| Authors: | YU Min DING Xianjun ZHANG Xiaoliang ZHU Mingsi |
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| Affiliation: | (1.School of Transportation，Wuhan University of Technology，Wuhan 430070，Hubei, China;2.System Engineering Research Institute of CSSC，Beijing 100036，China) |
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| Abstract: | In view of the contradiction between convergence speed and steady-state accuracy of the traditional adaptive phase difference estimator due to the use of the least mean square (LMS) algorithm, an improved method is proposed for the adaptive estimator based on the LMS algorithm. And the recursive least square (RLS) algorithm is proposed to be applied to the adaptive phase difference estimator to further improve the stability of adaptive estimator.Through numerical simulation and experimental data verification, the results show that the two improved adaptive phase-difference estimators of LMS and RLS algorithms can both improve the calculation accuracy and convergence speed, and the latter has a higher steady-state accuracy. |
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| Keywords: | phase-differenceestimator ultra-shortbaseline leastmeansquarealgorithm recursiveleastsquarealgorithm |
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