NLOS Localization Using TDOA , AOA, and AOD
碩士 === 國立交通大學 === 電信工程研究所 === 104 === Localization has been an important issue in wireless systems. Many methods have been proposed to solve the problem. However, most methods were developed for line-of-sight (LOS) scenarios. Recently, a single-bound scattering (SBC) model has been proposed to solve...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/04561529723030244295 |
id |
ndltd-TW-104NCTU5435067 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-104NCTU54350672017-09-10T04:30:11Z http://ndltd.ncl.edu.tw/handle/04561529723030244295 NLOS Localization Using TDOA , AOA, and AOD 在非直視環境下利用到達時間差,入射角度,以及發射角度進行定位 Huang, Ching-Wen 黃慶文 碩士 國立交通大學 電信工程研究所 104 Localization has been an important issue in wireless systems. Many methods have been proposed to solve the problem. However, most methods were developed for line-of-sight (LOS) scenarios. Recently, a single-bound scattering (SBC) model has been proposed to solve non-LOS (NLOS) localization problem using time-difference-of-arrival (TDOA), angle-of-arrival (AOA), and angle-of-departure (AOD). Although this method is effective, only a single scattering path is considered for a wireless link. Also, how to obtain TDOA, AOA, and AOD observations are not discussed. This thesis is aimed to solve the problems. First, a SBC model with multiple scattering paths and the corresponding localization method are developed. Then, a joint channel, AOA, and AOD method is applied to obtain the observations. Finally, a particle-filter-like algorithm is developed to solve the local minimum problem frequently encountered in localization algorithms. Simulations show that the proposed method can yield satisfactory results and it significantly outperforms the existing method. Wu, Wen-Rong 吳文榕 2016 學位論文 ; thesis 63 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 電信工程研究所 === 104 === Localization has been an important issue in wireless systems. Many methods have been proposed to solve the problem. However, most methods were developed for line-of-sight (LOS) scenarios. Recently, a single-bound scattering (SBC) model has been proposed to solve non-LOS (NLOS) localization problem using time-difference-of-arrival (TDOA), angle-of-arrival (AOA), and angle-of-departure (AOD). Although this method is effective, only a single scattering path is considered for a wireless link. Also, how to obtain TDOA, AOA, and AOD observations are not discussed. This thesis is aimed to solve the problems. First, a SBC model with multiple scattering paths and the corresponding localization method are developed. Then, a joint channel, AOA, and AOD method is applied to obtain the observations. Finally, a particle-filter-like algorithm is developed to solve the local minimum problem frequently encountered in localization algorithms. Simulations show that the proposed method can yield satisfactory results and it significantly outperforms the existing method.
|
author2 |
Wu, Wen-Rong |
author_facet |
Wu, Wen-Rong Huang, Ching-Wen 黃慶文 |
author |
Huang, Ching-Wen 黃慶文 |
spellingShingle |
Huang, Ching-Wen 黃慶文 NLOS Localization Using TDOA , AOA, and AOD |
author_sort |
Huang, Ching-Wen |
title |
NLOS Localization Using TDOA , AOA, and AOD |
title_short |
NLOS Localization Using TDOA , AOA, and AOD |
title_full |
NLOS Localization Using TDOA , AOA, and AOD |
title_fullStr |
NLOS Localization Using TDOA , AOA, and AOD |
title_full_unstemmed |
NLOS Localization Using TDOA , AOA, and AOD |
title_sort |
nlos localization using tdoa , aoa, and aod |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/04561529723030244295 |
work_keys_str_mv |
AT huangchingwen nloslocalizationusingtdoaaoaandaod AT huángqìngwén nloslocalizationusingtdoaaoaandaod AT huangchingwen zàifēizhíshìhuánjìngxiàlìyòngdàodáshíjiānchàrùshèjiǎodùyǐjífāshèjiǎodùjìnxíngdìngwèi AT huángqìngwén zàifēizhíshìhuánjìngxiàlìyòngdàodáshíjiānchàrùshèjiǎodùyǐjífāshèjiǎodùjìnxíngdìngwèi |
_version_ |
1718532240420372480 |