A note on the reward function for PHD filters with sensor control

Engineering

• Finite Set 100%
• Information Gain 100%
• Control Sensor 100%
• Numerical Example 50%
• Moving Object 50%
• Control Action 50%
• Markov Decision Process 50%
• Moving Range 50%
• State Information 50%
• Assuming 50%
• Filtration 50%
• Probability Density Function 50%

INIS

• control 100%
• filters 100%
• sensors 100%
• information 75%
• randomness 50%
• gain 50%
• monte carlo method 25%
• markov process 25%
• implementation 25%
• range 25%
• performance 25%
• probability density functions 25%