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.

Volume

1

fYear

2006

fDate

16-20 2006

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2006 8th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9736-3

Electronic_ISBN

0-7803-9736-3

Type

conf

DOI

10.1109/ICOSP.2006.344522

Filename

4128858