Title :
A Low Complexity Maximum Likelihood Algorithm for Targets DOA Tracking
Author :
Shao, Chao ; Ding, Zhi ; Lu, Guangyue
Author_Institution :
Xi´´an Inst. of Posts & Telecommun.
Abstract :
This work presents a low complexity bootstrapping filter for target direction-of-arrival tracking in array signal processing, and derives a Monte Carlo maximum likelihood method. Similar to bootstrapping, our new algorithm bypasses the resampling step and directly generates the maximum-likelihood estimates. This simpler target tracking method is compared against the original bootstrapping and the traditional extended Kalman filter. The performance comparison shows no performance loss for our simplified method
Keywords :
Kalman filters; Monte Carlo methods; computational complexity; direction-of-arrival estimation; filtering theory; maximum likelihood estimation; nonlinear filters; target tracking; Monte Carlo maximum likelihood method; array signal processing; bootstrapping filter; complexity maximum likelihood algorithm; direction-of-arrival; extended Kalman filter; performance loss; target DOA tracking; Bayesian methods; Direction of arrival estimation; Equations; Filters; Maximum likelihood estimation; Monte Carlo methods; Radar tracking; Sensor arrays; Signal processing algorithms; Target tracking;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.344522
