Abstract
AbstractA modified indoor path loss prediction model is presented, namely, effective wall loss model. The modified model is compared to other indoor path loss prediction models using simulation data and real‐time measurements. Different operating frequencies and antenna polarizations are considered to verify the observations. In the simulation part, effective wall loss model shows the best performance among other models as it outperforms 2 times the dual‐slope model, which is the second best performance. Similar observations were recorded from the experimental results. Linear attenuation and one‐slope models have similar behavior, the two models parameters show dependency on operating frequency and antenna polarization.
Highlights
The ability to locate a target object in an indoor environment has many potential applications: e.g. in security, emergency services, health care and commercial fields
Effective Wall Loss Model (EWLM) shows the best performance among other models as it outperforms two times the dual slope model which is the second-best performance
Similar observations were recorded from the experimental results
Summary
The ability to locate a target object in an indoor environment has many potential applications: e.g. in security, emergency services, health care and commercial fields It is difficult to provide accurate location by radio means because of the complex multipath propagation within buildings (Obeidat et al, 2016). Multipath propagation of wireless signals within buildings has been extensively studied in the context of the deployment of cordless phones (Keenan & Motley, 1990) and wireless local area networks (WLAN) (Borrelli, Monti, Vari, & Mazzenga, 2004; Crow, Widjaja, Kim, & Sakai, 1997; Kong, Tsang, Bensaou, & Gao, 2004). Propagation from outdoors to indoors has been studied in the context of cellular networks (Damosso & Correia, 1999). There has been significant interest in developing indoor location technologies, in many cases relying on the opportunistic exploitation of available WLAN signals (Zekavat & Buehrer, 2011) and deploying WLAN in the mm-Wave band (Moraitis & Constantinou, 2004)
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