RT Journal Article
T1 Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking
A1 Li, Tiancheng
A1 Fan, Hongqi
A1 García Herrero, Jesús
A1 Corchado, Juan M.
AB Two fundamental approaches to information averaging are based on linear and logarithmic combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing data, respectively. In the context of multisensor target tracking, the two most common formats of data to be fused are random variables and probability density functions, namely v-fusion and f-fusion, respectively. In this work, we analyze and compare the second-order statistics (including variance and mean square error) of AA and GA in terms of both v-fusion and f-fusion. The case of weighted Gaussian mixtures representing multitarget densities in the presence of false alarms and missed detections (whose weight sums are not necessarily unit) is also considered, the result of which turns out to be significantly different from that of a single target. In addition to exact derivation, exemplifying analyses and illustrations are also provided.
PB Elsevier
SN 1566-2535
YR 2019
FD 2019-11-01
LK https://hdl.handle.net/10016/32011
UL https://hdl.handle.net/10016/32011
LA eng
NO This work was supported in part by the Marie Skłodowska-Curie Individual Fellowship under Grant 709267, in part by Shaanxi Natural Fund under Grant 2018MJ6048, in part by the Northwestern Polytechnical University, and in part by Junta Castilla y León, Consejería de Educación and FEDER funds under project SA267P18.
DS e-Archivo
RD 27 jul. 2024