Investigation of Weighted Least Squares Methods for Multitarget Tracking with Multisensor Data Fusion

Keyphrases

• Wireless Sensor Networks 100%
• Weighted Least Square Method 100%
• Multi-target Tracking 100%
• Multi-sensor Fusion 100%
• Low Bandwidth 50%
• Tracking Performance 50%
• Low Power Consumption 50%
• Root Mean Square Error 50%
• Tracking Trajectory 50%
• Multiple Sensors 50%
• Error Performance 50%
• Multi-target 50%
• Hot Research Topics 50%
• Extended Kalman Filter 50%
• Received Signal Strength 50%
• Received Signal 50%
• Communication Environment 50%
• Path Loss 50%
• Loss Data 50%
• Location Information 50%
• Weighted Least Squares 50%
• Evenly Distributed 50%
• Accurate Location 50%
• Collision Avoidance Algorithm 50%
• Estimation Information 50%
• Fusion Center 50%
• Probabilistic Data Association Filter 50%
• Trajectory Tracking 50%
• Distance Estimation 50%
• Optimal Position 50%
• Information Signal 50%
• Probability Hypothesis Density Filter 50%
• Trilateration Method 50%
• Clutter Interference 50%
• Target Localization 50%

Engineering

• Square Method 100%
• Least Square 100%
• Wireless Sensor Network 100%
• Simulation Result 50%
• Multiple Sensor 50%
• Error Performance 50%
• Collision Avoidance 50%
• Extended Kalman Filter 50%
• Received Signal Strength 50%
• Root-Mean-Squared Error 50%
• Path Loss 50%
• Multiple Target 50%
• Location Information 50%
• Distance Estimation 50%
• Trilateration 50%
• Target Localization 50%

Computer Science

• Least Squares Method 100%
• multisensor data fusion 100%
• Wireless Sensor Network 100%
• Research Topic 50%
• Information Loss 50%
• Received Signal Strength 50%
• Communication Environment 50%
• Location Information 50%
• Multiple Sensor 50%
• Lower Energy Consumption 50%
• data association 50%
• Application Scenario 50%
• Extended Kalman Filter 50%
• Root Mean Squared Error 50%
• probability hypothesis density filter 50%