For the underground indoor positioning in the subway construction environment,the Non-Line-Of-Sight(NLOS)error is an important influencing factor for the stability and accuracy of position estimation.Some existing techniques can eliminate NLOS errors to some extent,but these techniques often require priori information about NLOS channel conditions.This paper proposes a Developed residual weighting algorithm(D-rwgh)for position estimation based on the minimum residual principles.The proposed algorithm continuously rejects the base station with the largest error through the previous round of calculation,then conducts residual weighting for the position estimation corresponding to the number of base stations,and finally takes the weighting result as the final positioning result.The test results show the proposed algorithm does not need priori information about channel conditions,and has high positioning accuracy in the NLOS environment.
arrival time differenceminimum residual principleweightingnon-line-of-sight error
维普
万方数据
