Sensor selection algorithm for optimal management of the tracking capability in multisensor radar system

A sensor selection algorithm for a multisensor system which aims at minimization of the system load is presented. The algorithm selects sensor, time of the measurement and dwell time for target tracking in a way to minimize sensor resources involved while providing a required level of tracking performance. The algorithm performance is illustrated by means of a case study.

[1]  Xiaotao Huang,et al.  Random-Frequency SAR Imaging Based on Compressed Sensing , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[2]  M. Kalandros.  Covariance control for multisensor systems , 2002 .

[3]  A. Papandreou-Suppappola,et al.  Scheduling multiple sensors using particle filters in target tracking , 2003, IEEE Workshop on Statistical Signal Processing, 2003.

[4]  H. Driessen,et al.  Tracking performance constrained MFR parameter control: applying constraints on prediction accuracy , 2005, 2005 7th International Conference on Information Fusion.

[5]  Chang-Gun Lee,et al.  Coordinated search and track by multiple phased array radars , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[6]  Erik Blasch,et al.  Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[7]  W. van Rossum,et al.  A cognitive radar network: Architecture and application to multiplatform radar management , 2008, 2008 European Radar Conference.

[8]  Alfred O. Hero,et al.  Sensor Management: Past, Present, and Future , 2011, IEEE Sensors Journal.

[9]  J.H. McClellan,et al.  Compressive Sensing for GPR Imaging , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[10]  Richard Bamler,et al.  Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Yachao Li,et al.  High-Resolution ISAR Imaging With Sparse Stepped-Frequency Waveforms , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[13]  Marco Tarantino,et al.  Multifunction array radar : system design and analysis , 1994 .

[14]  Fok Bolderheij,et al.  Performance-based sensor selection for optimal target tracking , 2009, 2009 12th International Conference on Information Fusion.

[15]  W. Clem Karl,et al.  Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization , 2001, IEEE Trans. Image Process..