研究者詳細 - 安在　大祐

論文 - 安在　大祐

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Use of area layout information for RSSI-based indoor target tracking methods 査読あり

Daisuke Anzai, Kentaro Yanagihara, Kyesan Lee, and Sinsuke Hara

IEICE Trans. Commum. E94-B ( 7 ) 1924 - 1932 2011年07月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（学術雑誌）

Analysis on TOA and TDOA location estimation performances in a cellular system 査読あり

S. Hara, D. Anzai, T. Yabu, T. Derham, R. Zemek

IEEE International Conference on Communications (ICC), 2011 2011年06月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Selection criteria of cooperative nodes for reliable wireless multi-hop data transmission 査読あり

Masaki Kubo, Daisuke Anzai, Shinsuke Hara

International Symposium on Wireless Communication Systems 2010 345 - 349 2010年09月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

The use of cooperative nodes is effective
for enhancing the reliability of
wireless data transmission
between a source and a destination by means of transmit diversity effect.
However, in its application to wireless multi-hop networks,
how to form cooperator candidates and then how to select cooperative nodes out of them
have been rarely discussed.
In this paper, we propose two selection methods
of cooperative nodes based on
``the literal triangle'' and ``fading/blocking'' criteria
and evaluate their performances
in an environment often encountered
in industrial factories.
Computer simulation results demonstrate that
the simple literal triangle selection method can perform
comparable to the complicated fading/blocking selection method.

Does particle filter really outperform low pass filter in indoor target tracking? 査読あり

Daisuke Anzai, Shinsuke Hara

IEEE International Symposium on Personal, Indoor and Mobile Radio Communication 2010 882 - 886 2010年09月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper compares the indoor tracking performance for a moving target
between an IIR (Infinite Impulse Response) low pass filter and a particle filter.
It reveals that,
in the computer simulations where the motion of a target exactly follows
the state transition model in the particle filter, the particle filter-based
tracking system outperforms the IIR low pass filter-based tracking system.
On the other hand, in the experiments where the motion of a target
is really unpredictable and does not always follow the state transition model,
the IIR low pass filter outperforms the particle filter.
It concludes that the IIR low pass filter-based tracking system is advantageous in reality,
because it requires far less computational cost and shows better tracking performance.

An area layout-based MAP estimation for indoor target tracking 査読あり

Daisuke Anzai, Shinsuke Hara

IEEE Vehicular Technology Conference 2010-Fall 1 - 5 2010年09月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

To improve the performance of
a received signal strength indication (RSSI)-based maximum likelihood (ML) location estimation method,
we have so far proposed an area layout-based maximum a posterirori (MAP) location estimation method
for a stationary target.
For the MAP location estimation,
we have derived the priori probability density function of a target location,
and shown the improvement of the estimation accuracy
by computer simulations, experiments and
theoretical analyses.
In this paper, we introduce the area layout-based MAP estimation technique
to location tracking with an infinite impulse response (IIR) filter and a particle filter
for a moving target.
The results of experiments demonstrate that
the area layout-based MAP estimation technique can improve the location estimation performance
for not only a stationary target but also a moving target.
Furthermore, our experiments show that
the MAP location tracking with the IIR filter
outperforms that with the particle filter
in terms of the estimation accuracy and the computational complexity.