Indoor localization of wireless emitter using direct position determination   and particle swarm optimization

Saeid HASSANHOSSEINI; Mohammad Reza TABAN; Jamshid ABOUEI

Makale detayları

Indoor localization of wireless emitter using direct position determination and particle swarm optimization

Yazarlar:

Saeid HASSANHOSSEINI | Mohammad Reza TABAN | Jamshid ABOUEI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.655-665

Belge Tipi:

Makale

Yayın Tarihi:

3/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000735209

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Many methods are introduced to accomplish determining the   position of emitters with respect to known-position receivers in indoor   localizations. Among them, the direct position determination (DPD) approach   advocates using the received signals by all the base stations together in   order to estimate the locations in a single step. However, DPD is not very   accurate due to the use of a gridding area, the effect of noise, and the   multipath phenomenon. In order to improve the DPD performance, we derive an   analytic model based on weighted least square estimation that uses   simultaneously the effect of delay, Doppler, attenuation, and angle of   reception of the signals. In addition, a new approach to define a cost   function based on the analytic model is proposed that is optimized by   particle swarm optimization (PSO). A combination of the improved DPD and the   proposed PSO-based technique is also used to decrease the computation volume   and increase the resolution. Finally, the accuracy of the proposed   algorithms is investigated by Monte Carlo computer simulation in a wireless   local area network. Numerical results show that the localization by PSO, the   improved DPD, and previous DPD are more accurate in that order.

Makale detayları

Indoor localization of wireless emitter using direct position determination and particle swarm optimization

Yazarlar: Saeid HASSANHOSSEINI | Mohammad Reza TABAN | Jamshid ABOUEI

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.655-665

Belge Tipi: Makale

Yayın Tarihi: 3/2018

Belge Dili: Türkçe

Document ID (Org No.): 2000735209

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Saeid HASSANHOSSEINI | Mohammad Reza TABAN | Jamshid ABOUEI

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2018 Vol.26 Issue 2, pp.655-665

Belge Tipi:

Makale

Yayın Tarihi:

3/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000735209

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632