Paper Info
Title
Dynamic Configuration of Time-Varying Waveforms for Agile Sensing and Tracking in Clutter
Abstract
The advent of waveform-agile sensors has enabled the design of tracking systems where the transmitted waveform is changed on-the-fly in response to the tracker's requirements. This approach can provide performance improvements over individual optimization of the sensor waveform or the tracking algorithm. In this paper, we consider joint sensor configuration and tracking for the problem of tracking a single target in the presence of clutter using range and range-rate measurements obtained by waveform-agile, active sensors in a narrowband environment. We propose an algorithm to select and configure linear and nonlinear frequency-modulated waveforms to minimize the predicted mean square error (MSE) in the target state estimate; the MSE is predicted using the Cramer-Rao lower bound on the measurement error in conjunction with the unscented transform. We further extend our algorithm to match wideband environments, and we demonstrate the algorithm performance through a Monte Carlo simulation of a radar tracking example.
Year
DOI
Venue
2007
10.1109/TSP.2007.894418
IEEE Transactions on Signal Processing
Keywords
Field
DocType
tracking system,measurement error,intelligent sensors,radar tracking,sensors,lower bound,cramer rao lower bound,mean square error,indexing terms,clutter,monte carlo simulation,monte carlo methods
Cramér–Rao bound,Narrowband,Radar tracker,Simulation,Clutter,Control theory,Waveform,Tracking system,Mean squared error,Real-time computing,Unscented transform,Mathematics
Journal
Volume
Issue
ISSN
55
7
1053-587X
Citations 
PageRank 
References 
29
2.56
6
Authors
3
Name
Order
Citations
PageRank
Sandeep Prasad Sira1455.17
Antonia Papandreou-Suppappola223429.88
Darryl Morrell315917.45