To an Estimation for UWB Localization Basing on Peak-Detection

Author

Ding, Hong ; Zheng, Linhua ; Xiang, Liangjun

Author_Institution

Nat. Univ. of Defense Technol., Changsha, China

fYear

2012

Firstpage

1537

Lastpage

1541

Abstract

In this paper the continuous and discrete ML criteria used in UWB localization will be discussed. Two ToA estimation methods using ML criteria basing on peak-detection will be studied deeply. In search and subtract algorithm, according to the ML criteria, we adjust the observation parameter which is used to calculate the amplitude estimation. We also propose a quick searching method and two corresponding stopping criteria for this algorithm. A cluster-peak-detection-based algorithm will be shown in the paper. We also will discuss its stopping criteria problem.

Keywords

amplitude estimation; maximum likelihood detection; time-of-arrival estimation; ToA estimation methods; UWB localization; amplitude estimation; cluster-peak-detection-based algorithm; continuous ML criteria; discrete ML criteria; search algorithm; stopping criteria problem; subtract algorithm; Amplitude estimation; Clustering algorithms; Maximum likelihood estimation; Signal processing algorithms; Vectors; Wireless communication; cluster-peak-detection; maximum-likelihood (ML); peak-detection; time-of-arribal (ToA); ultra-wideband (UWB);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4577-2120-5

Type

conf

DOI

10.1109/ISdea.2012.510

Filename

6173500