TY - GEN
T1 - Analysis of the cross-target measurement fusion likelihood for RSSI-based sensors
AU - Beaudeau, Jonathan
AU - Bugallo, Monica F.
AU - Djuric, Petar M.
PY - 2014
Y1 - 2014
N2 - In this paper an analysis is conducted regarding the likelihood function of an RSSI-based sensor measurement that is affected by a target of interest (TOI) and an interfering target source. The interferer's true location is unknown but is assumed to be Gaussian distributed with known parameters. This analysis is motivated by its potential application within a multi-agent distributed tracking system, where each agent is tasked with tracking a single TOI while treating others as sources of interference. By exchanging TOI information, each agent can use the results established here to effectively compensate for 'out-of-scope' target interference by fusing this external information. An exact analytical form is established for the aforementioned likelihood and a Gaussian approximation is analytically developed. An application of these results is presented through an example scenario, with computer simulation results demonstrating performance.
AB - In this paper an analysis is conducted regarding the likelihood function of an RSSI-based sensor measurement that is affected by a target of interest (TOI) and an interfering target source. The interferer's true location is unknown but is assumed to be Gaussian distributed with known parameters. This analysis is motivated by its potential application within a multi-agent distributed tracking system, where each agent is tasked with tracking a single TOI while treating others as sources of interference. By exchanging TOI information, each agent can use the results established here to effectively compensate for 'out-of-scope' target interference by fusing this external information. An exact analytical form is established for the aforementioned likelihood and a Gaussian approximation is analytically developed. An application of these results is presented through an example scenario, with computer simulation results demonstrating performance.
KW - interference modeling
KW - multiple particle filtering
KW - RSSI-based target tracking
UR - https://www.scopus.com/pages/publications/84905284239
U2 - 10.1109/ICASSP.2014.6853920
DO - 10.1109/ICASSP.2014.6853920
M3 - Conference contribution
AN - SCOPUS:84905284239
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1856
EP - 1860
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -