Name
Title | ||
|---|---|---|
Road-Constraint Assisted Target Tracking In Mixed Los/Nlos Environments Based On Tdoa Measurements |
Abstract | ||
|---|---|---|
This paper proposes an approach to improving the target tracking accuracy in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments based on individual measurement detection (IMD) and road constraints. Utilizing the IMD algorithm, most LOS time-difference-of-arrival (TDOA) measurements can be correctly selected from mixed LOS/NLOS TDOA measurements. Incorporating the prior knowledge of the road constraint as a pseudo-measurement, the augmented dynamic extended Kalman filter (EKF) is then implemented to track a moving target. Simulation results demonstrate that the road constraint assisted algorithm, in conjunction with the IMD method, performs better than the road constraint assisted algorithm without the IMD method, or tracking algorithm with the IMD method but without the road constraint. The proposed method is especially useful when the number of selected LOS TDOA measurements is less than three. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISCAS.2012.6271832 | 2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012) |
Keywords | Field | DocType |
noise measurement,noise,ekf,sensors,vectors,mathematical model,kalman filters | Non-line-of-sight propagation,Extended Kalman filter,Noise measurement,Computer science,Kalman filter,Electronic engineering,Multilateration | Conference |
ISSN | Citations | PageRank |
0271-4302 | 4 | 0.44 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lili Yi | 1 | 13 | 1.96 |
| Sirajudeen Gulam Razul | 2 | 96 | 14.41 |
| Zhiping Lin | 3 | 5 | 2.15 |
| Chong Meng Samson See | 4 | 175 | 19.41 |