TY - GEN
T1 - Agile multi-modal tracking with dependent measurements
AU - Zhang, Jun Jason
AU - Ding, Quan
AU - Kay, Steven
AU - Papandreou-Suppappola, Antonia
AU - Rangaswamy, Muralidhar
PY - 2010
Y1 - 2010
N2 - We investigate the target tracking problem of adapting asymmetric multi-modal sensing operation platforms using radio frequency (RF) radar and electro-optical (EO) sensors. Although the multi-modality framework allows for the integration of complementary information, there are many challenges to overcome, including targets with different energy returns, and information loss due to low signal-to-noise ratio (SNR) or due to dependent measurements from different sensors that are not appropriately processed. We develop the particle filter (PF) based recursive track before detect (TBD) algorithm for joint RF-EO tracking to avoid loss of information caused by matched filter thresholding at low SNR. A waveform optimization technique is integrated into the PF-TBD to allow for adaptive waveform selection. We also approximate distributions of parameters of dependent RF and EO measurements using the embedded exponential family (EEF) approach to further improve target detection and tracking performance.
AB - We investigate the target tracking problem of adapting asymmetric multi-modal sensing operation platforms using radio frequency (RF) radar and electro-optical (EO) sensors. Although the multi-modality framework allows for the integration of complementary information, there are many challenges to overcome, including targets with different energy returns, and information loss due to low signal-to-noise ratio (SNR) or due to dependent measurements from different sensors that are not appropriately processed. We develop the particle filter (PF) based recursive track before detect (TBD) algorithm for joint RF-EO tracking to avoid loss of information caused by matched filter thresholding at low SNR. A waveform optimization technique is integrated into the PF-TBD to allow for adaptive waveform selection. We also approximate distributions of parameters of dependent RF and EO measurements using the embedded exponential family (EEF) approach to further improve target detection and tracking performance.
UR - http://www.scopus.com/inward/record.url?scp=79957973346&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79957973346&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2010.5757819
DO - 10.1109/ACSSC.2010.5757819
M3 - Conference contribution
AN - SCOPUS:79957973346
SN - 9781424497218
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1653
EP - 1657
BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Y2 - 7 November 2010 through 10 November 2010
ER -