Sensor Scheduling for Target Tracking by Suboptimal Algorithms - Maheswararajah, S.; Halgamuge, S.K.; Premaratne, M. (IEEE transactions on vehicular technology, 2009)
Keywords: Algorithms; Applied sciences; Coding, codes; Constraint optimization; Cost engineering; Cost function; Detection, estimation, filtering, equalization, prediction; Electronics; Error analysis; Exact sciences and technology; Gaussian noise; General (including economical and industrial fields); Information, signal and communications theory; Kalman filtering; Lagrangian functions; Mathematical models; Measurement errors; Noise; Optimization; particle swarm optimization (PSO); Processor scheduling; Scheduling algorithm; sensor scheduling; Sensor systems; Sensors; Signal and communications theory; Signal, noise; Studies; Target tracking; Telecommunications and information theory; Viterbi algorithm; Sensor Scheduling; Target tracking; Kalman filtering; Particle Swarm Optimization; Performance evaluation; Cost minimization; Measurement sensor; Optimization method; sensor scheduling; Scheduling; Algorithm; Particle swarm optimization; Viterbi code; Lagrange multiplier; Linear system; Biomimetics; Gaussian noise; Minimax method; White noise; Economic aspect; Optimal planning; Effectiveness factor; Dynamic model; particle swarm optimization (PSO); Measurement error