Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Bayesian Multiple Target Tracking
Bayesian Multiple Target Tracking
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
Target localization accuracy gain in MIMO radar-based systems
IEEE Transactions on Information Theory
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
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In this paper, tracking performnace of MIMO radar systems with distributed antennas and non-coherent processing is studied. The Bayesian Cramer-Rao bound (BCRB) on target location and velocity tracking is derived and the effect of the radars geometric layout and the target location on tracking accuracies is analyzed. The impact of the number of radars on the estimation errors is examined and the contribution of the target reflectivity and path loss to tracking performance is evaluated.