Title :
Road-constraint assisted target tracking in mixed LOS/NLOS environments based on TDOA measurements
Author :
Yi, Lili ; Razul, Sirajudeen Gulam ; Lin, Zhiping ; See, Chong-Meng
Author_Institution :
Sch. of EEE, Nanyang Technol. Univ., Singapore, Singapore
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.
Keywords :
Kalman filters; direction-of-arrival estimation; target tracking; EKF; IMD; LOS TDOA measurements; LOS time-difference-of-arrival; augmented dynamic extended Kalman filter; individual measurement detection; mixed LOS/NLOS environments; mixed line-of-sight/nonline-of-sight environments; moving target tracking; pseudo-measurement; road constraint assisted algorithm; road constraints; road-constraint assisted target tracking; tracking algorithm; Mathematical model; Noise; Noise measurement; Roads; Sensors; Target tracking; Vectors;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6271832