TY  - JOUR 
AU  - Li, Tiancheng
AU  - Prieto Tejedor, Javier
AU  - Fan, Hongqi
AU  - Corchado Rodríguez, Juan Manuel
PY  - 2018
SN  - 1089-7798 (print)/ 1558-2558 (electronic)
UR  - http://hdl.handle.net/10366/146295
AB  - [EN] This letter presents a novel multi-sensor probability hypothesis density (PHD) filter for multi-target tracking by means of multiple or even massive sensors that are linked by a fusion center or by a peer-to-peer network. As a challenge, we find...
LA  - eng
KW  - PHD filtering
KW  - Target tracking
KW  - Sensor network
TI  - A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering
DO  - 10.1109/lcomm.2018.2863387
T2  - IEEE Communications Letters
VL  - 22
M2  - 2064
ER  -