TY - GEN
T1 - Target tracking over distributed sensor networks by polar measurements with time-varying bias
AU - Zhang, Cui
AU - Jia, Yingmin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - This note concerns about the problem of target tracking over distributed sensors which measure range and azimuth with time-varying bias. First, the pseudo-measurements are generated to transform the biased nonlinear measurements into Cartesian coordinates. Then a modified two-stage filter is proposed to decouple the estimation of target state and sensor bias. Moreover, a distributed fusion algorithm for sensor network is derived based on local estimates. The effectiveness of the proposed filters are demonstrated by the Monte Carlo simulation results.
AB - This note concerns about the problem of target tracking over distributed sensors which measure range and azimuth with time-varying bias. First, the pseudo-measurements are generated to transform the biased nonlinear measurements into Cartesian coordinates. Then a modified two-stage filter is proposed to decouple the estimation of target state and sensor bias. Moreover, a distributed fusion algorithm for sensor network is derived based on local estimates. The effectiveness of the proposed filters are demonstrated by the Monte Carlo simulation results.
UR - https://www.scopus.com/pages/publications/85044919419
U2 - 10.1109/COASE.2017.8256142
DO - 10.1109/COASE.2017.8256142
M3 - 会议稿件
AN - SCOPUS:85044919419
T3 - IEEE International Conference on Automation Science and Engineering
SP - 429
EP - 433
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -