Optimum Steady-State Position and Velocity Estimation Using Noisy Sampled Position Data

Keyphrases

• Velocity Estimation 100%
• Position Accuracy 100%
• Steady State Position 100%
• Velocity Accuracy 100%
• Position Estimation 100%
• Sampled Position Data 100%
• Random Noise 50%
• Navigation System 50%
• Dynamic Model 50%
• Analytical Expression 50%
• Mean Square 50%
• Analytic Expression 50%
• Order of Accuracy 50%
• Constant Acceleration 50%
• Position Measurement 50%
• Sensor Failure 50%
• Piecewise Constant 50%
• High Sampling Rate 50%
• Kalman Filter Algorithm 50%
• Acceleration Level 50%
• Uniform Sampling 50%
• RMS Value 50%
• One-dimensional Dynamics 50%
• Sensor Accuracy 50%
• Steady-state Kalman Filter 50%
• Sampling Interval 50%
• Double Integrator 50%
• Optimum Location 50%
• Maximum Position Error 50%

Engineering

• Initial Condition 100%
• Filtration 100%
• One Dimensional 100%
• Navigation System 100%
• Sampling Rate 100%
• Dynamic Models 100%
• Kalman Filter 100%
• Constant Acceleration 100%
• Sampling Interval 100%
• Position Error 100%