TY - GEN
T1 - Multiple target tracking using particle filtering and adaptive waveform design
AU - Kyriakides, I.
AU - Trueblood, T.
AU - Morrell, Darryl
AU - Papandreou-Suppappola, Antonia
PY - 2008/12/1
Y1 - 2008/12/1
N2 - In multiple target tracking with radar, weak target measurements are often hard to observe due to masking by sidelobes of measurements from stronger targets. The result is lost tracks and deteriorated joint tracking performance. In this work, we design configurable waveforms and adjust the positioning of their ambiguity function (AF) sidelobes to unmask weak targets and improve tracking performance. To track multiple targets, we develop a tracker that is based on the likelihood particle filter and the independent partitions proposal method. The proposed independent partitions likelihood particle filter (IPLPF) accurately processes the high resolution measurements resulting from the use of Björck CAZAC sequences that we use to construct our configurable waveforms and tracks a fixed and known number of targets. We provide simulation results that demonstrate the improvement in tracking performance of multiple targets when using adaptively configured MCPC Björck CAZAC waveforms versus using non-adaptive configurations or single Björck CAZACs.
AB - In multiple target tracking with radar, weak target measurements are often hard to observe due to masking by sidelobes of measurements from stronger targets. The result is lost tracks and deteriorated joint tracking performance. In this work, we design configurable waveforms and adjust the positioning of their ambiguity function (AF) sidelobes to unmask weak targets and improve tracking performance. To track multiple targets, we develop a tracker that is based on the likelihood particle filter and the independent partitions proposal method. The proposed independent partitions likelihood particle filter (IPLPF) accurately processes the high resolution measurements resulting from the use of Björck CAZAC sequences that we use to construct our configurable waveforms and tracks a fixed and known number of targets. We provide simulation results that demonstrate the improvement in tracking performance of multiple targets when using adaptively configured MCPC Björck CAZAC waveforms versus using non-adaptive configurations or single Björck CAZACs.
UR - http://www.scopus.com/inward/record.url?scp=70349696267&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349696267&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2008.5074603
DO - 10.1109/ACSSC.2008.5074603
M3 - Conference contribution
AN - SCOPUS:70349696267
SN - 9781424429417
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1188
EP - 1192
BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
T2 - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Y2 - 26 October 2008 through 29 October 2008
ER -