关键词: 无源定位, 正则约束总体最小二乘, 仅测角

Abstract:

The passive location algorithm based on regularized constrained total least squares algorithm (RCTLS) using bearing-only measurements was presented. By this algorithm the non-linear measurement equations are firstly transformed into linear equations, and linear mapping from the measurement noise to the coefficients error is given in accordance with the first order term of Taylor expansion for the coefficients of linear equations about bearing measurements. A quasi-closed-form solution to location was obtained by taking partial derivative of the objective function formed on the basis of RCTLS and ignoring high order terms of the bearing measures. The regularization parameter is determined by analyzing the bias and MSE of RCTLS. Simulations prove that the proposed algorithm achieves better location accuracy than the previous algorithms in the case of fewer observations and higher measurement noise.

Key words: passive localization, regularized constrained total least squares, bearing-only measurements