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Cognitive Fusion for Target Tracking

Kyriakides, Ioannis
Cognitive Fusion for Target Tracking
The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configurat...

CHF 40.50

Adaptive High-Resolution Sensor Waveform Design for Tracking

Kyriakides, Ioannis / Papandreou-Suppappola, Antonia / Morrell, Darryl
Adaptive High-Resolution Sensor Waveform Design for Tracking
Recent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes, as their use can lead to an increase in the target state estimation accuracy. Moreover, adaptively positi...

CHF 40.50

Cognitive Fusion for Target Tracking

Kyriakides, Ioannis / Spanias, Andreas
Cognitive Fusion for Target Tracking
The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources.In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configurati...

CHF 84.00

Cognitive Fusion for Target Tracking

Kyriakides, Ioannis / Spanias, Andreas
Cognitive Fusion for Target Tracking
The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources.In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configurati...

CHF 47.90

Adaptive High-Resolution Sensor Waveform Design for Tracking

Kyriakides, Ioannis / Morrell, Darryl / Papandreou-Suppappola, Antonia
Adaptive High-Resolution Sensor Waveform Design for Tracking
Recent innovations in modern radar for designing transmitted waveforms, coupled with new algorithms for adaptively selecting the waveform parameters at each time step, have resulted in improvements in tracking performance. Of particular interest are waveforms that can be mathematically designed to have reduced ambiguity function sidelobes, as their use can lead to an increase in the target state estimation accuracy. Moreover, adaptively positi...

CHF 59.50