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Localization and tracking in wireless MIMO system
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Mục lục
1.3 Contributions of the Thesis
1.4 Organization of the Thesis
2.2.2 ToA/TDoA-Based Location Estimation
2.4.3 NLOS Localization Based on Single-Bound Model
2.6 Existing Localization Systems and Solutions
3 Precoder Design for Enhancing AoA Estimation and Localization
3.1 Overview of Precoder Design in MIMO systems
3.4 Simulation of the Optimal and Practical Precoders
3.4.1 Asymptotic Performance of Precoder Strategies
3.4.2 Performance Evaluation in the High-Resolution Scenario
3.5 Applying Precoder to AoA-Based Localization Algorithm
3.6 Simulation of Localization with Precoder
4 Improving the Accuracy of ToA Estimation in MIMO Systems
4.1 Cramer-Rao Lower Bound for ToA Estimation
4.2 MIMO Beamforming and Diversity for ToA Estimation
4.2.1 When CSIT Is Available
4.2.2 When CSIT Is Not Available
4.3 Simulation and Performance Analysis
5 MAP-Based Channel Estimation for SIMO and MIMO Systems
5.1 Channel and Signal Model
5.1.1 Overview of the Extended Saleh-Valenzuela Model
5.4 Simulation and Performance Analysis
6.1.2 Space-Time Correlation Based Radial Velocity Estimation
6.2 Extended Kalman Filter Based Tracking
6.3 Angle-of-Arrival Assisted Performance Enhancement
6.3.1 MUSIC-Based Algorithm for HR-AoA Estimation
6.3.2 Enhancing the EKF Tracking Result with HR-AoA Estimate
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