Variable step-size normalized adaptive direct position determination by alternate iteration

Author

Wenying Jiang ; Wei Xia ; Sen Zhong

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2014

fDate

9-13 July 2014

Firstpage

772

Lastpage

776

Abstract

The adaptive direct position determination (ADPD) algorithm provides an effective method to determine the emitter position directly. However, the algorithm has the dilemma of fast convergence rate or low steady-state mean-square error since the fixed step-sizes are used. In this paper, the variable step-size normalization scheme and alternate iteration scheme are jointly applied in the adaptive direct position determination algorithm. The improvements of the proposed algorithm in complex scenarios are verified through simulations.

Keywords

iterative methods; mean square error methods; time-of-arrival estimation; ADPD algorithm; iteration scheme; steady-state mean-square error; variable step-size normalized adaptive direct position determination; Convergence; Delay effects; Estimation; Signal processing; Signal processing algorithms; Steady-state; Vectors; Passive localization; adaptive direct position determination (ADPD); alternate iteration; normalized variable step size; time differences of arrival (TDOA);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4799-5401-8

Type

conf

DOI

10.1109/ChinaSIP.2014.6889349

Filename

6889349