摘要
Based on time difference of arrive （TDOA）, the regularized constrained total least square （RCTLS） algorithm for passive location is presented in this paper. RCLTS is used to solve the location equations by transforming the nonlinear equations about TDOA into linear equations about parameters of the position and range and expanding the true TDOA in a first-order Taylor series about measurement TDOA. A proper weight is chosen by the least mean square error （MSE） rule to obtain the location solution through analyzing the location error, whose feasibility and effectiveness are well proved by computer simulations. The CRB and GDOP for TDOA-based location are given.
Based on time difference of arrive （TDOA）, the regularized constrained total least square （RCTLS） algorithm for passive location is presented in this paper. RCLTS is used to solve the location equations by transforming the nonlinear equations about TDOA into linear equations about parameters of the position and range and expanding the true TDOA in a first-order Taylor series about measurement TDOA. A proper weight is chosen by the least mean square error （MSE） rule to obtain the location solution through analyzing the location error, whose feasibility and effectiveness are well proved by computer simulations. The CRB and GDOP for TDOA-based location are given.
基金
Supported by the Program for New Century Excellent Talents in University, Ministry of Education, China (Grant No. NCET-05-0803)
