Title :
Evaluating a multiple-hypothesis multitarget tracking algorithm
Author :
Chang, Kuo-Chu ; Mori, Shozo ; Chee-Yee Chong
Author_Institution :
Dept. of Syst. Eng., George Mason Univ., Fairfax, VA, USA
fDate :
4/1/1994 12:00:00 AM
Abstract :
The performance evaluation of multiple-hypothesis, multitarget tracking algorithm is presented. We are primarily interested in target-detection/track-initiation capabilities as measures of performance. Through Monte Carlo simulations, a multiple-hypothesis tracking algorithm was evaluated in terms of 1) probability of establishing a track from target returns and 2) false track density. A radar was chosen as the sensor, and a general multiple-hypothesis, multitarget tracking algorithm was used in the Monte Carlo simulations. The simulation results predict the probability of establishing a track from returns of a target as well as the false track density per scan volume per unit time. The effects of the target radar cross section and the radar power, measured through the mean signal-to-noise ratio (SNR) were studied, as were the effects of detection threshold and track quality threshold. Computational requirements were also investigated
Keywords :
Monte Carlo methods; computational complexity; digital simulation; performance evaluation; probability; random noise; signal detection; tracking; Monte Carlo simulations; SNR; computational requirements; detection threshold; false track density; mean signal-to-noise ratio; multiple-hypothesis multitarget tracking; multiple-hypothesis tracking algorithm; performance evaluation; probability; radar cross section; radar power; target-detection; track quality threshold; track-initiation; Algorithm design and analysis; History; Magnetooptic recording; Modeling; Performance analysis; Predictive models; Radar cross section; Radar tracking; Surveillance; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
