电子学报Issue(9)：1694-1702,9.DOI:10.3969/j.issn.0372-2112.2013.09.005
抑制校正源方位估计偏差的阵元位置误差鲁棒估计算法
Robust Algorithm for Sensor Position Estimation Against the Direction Deviations of the Calibration Sources
摘要
Abstract
The direction deviations of the calibration sources would seriously degrade the calibration precision of the sensor positions .Aiming to this problem ,the robust calibration algorithm for estimating the sensor shape against the location deviations is presented under the condition that the prior probability distribution of the direction deviations is available .The robust algorithm is de-rived based on the signal subspace fitting (SSF) technique and the Bayesian estimation theory frame ,and it is numerically imple-mented via the Newton iteration without optimizing the locations of the calibration sources .Both the theory analysis and simulation experiments validate that the novel algorithm has preferable robustness against the location deviations of the calibration sources and its asymptotic performance can reach the Cramér-Rao bound (CRB) under some moderate conditions .关键词
有源校正/阵元位置误差/信号子空间拟合/贝叶斯估计/Newton迭代/克拉美罗界Key words
active calibration/sensor position error/signal subspace fitting/Bayesian estimation/Newton iteration/Cramér-Rao bound分类
信息技术与安全科学引用本文复制引用
王鼎,姚晖,吴瑛..抑制校正源方位估计偏差的阵元位置误差鲁棒估计算法[J].电子学报,2013,(9):1694-1702,9.基金项目
国家自然科学基金资助项目（No ．61201381）；信息工程学院未来发展基金资助项目 （）
