Abstract：The regularized constrained total least square algorithm for near space radar network is discussed in this paper. Firstly the nonlinear equations about range and angle are transformed into linear equations. The influence of error is analyzed by expanding the true range and angle in a first-order Taylor series. Then the location issue is transformed into a regularized constrained total least square issue. The Lagrange function is used to transform the issue into a non-constrained issue. A proper weight is chosen by the least mean square error rule to obtain the location solution. Location accuracy is analyzed. Simulation results show the effectiveness of the algorithm.
王燊燊, 冯金富, 王方年, 黄峰. 基于约束最小二乘的近空间雷达网定位算法[J]. 电子与信息学报, 2011, 33(7): 1655-1660.
Wang Shen-Shen, Feng Jin-Fu, Wang Fang-Nian, Huang Feng. Location Method of Near Space Radar Network Based on Regularized Constrained Total Least Square. , 2011, 33(7): 1655-1660.
2011, Vol. 33 
