The indoor wireless communication in general, suffers from several challenges like, signal reflection, diffraction, and attenuation. With these problems, the error range is increased significantly and the accuracy will be lost. To address those problems, Mini Zone (MZ)e technique propos in this paper which aim to partition building into small areas lead to more simplicity and flexibility to assign suitable parameters for specific area rather than whole building. To do that, case study building separated to seven zone (A-G). Each zone has its specific characteristics related to its contents such as, objects, walls, windows and any types of materials in addition to the distance between transmitters and each zone. We took in account these specific parameters to estimate the correct position. 56 receivers (8 for each zone) and 3 transmitters deployed in the case study building. The Wireless Insite Package has been used to design the chosen building and measure the required parameters. The target position has been estimated depending on RSS and ToA methods The objectives of this study are to implement a dynamic system that has capabilities to estimate position under deference conditions like LOS or NLO with the same accuracy. In addition, study the suitability of TOA and RSS methods to estimate position. These objectives were done based on the proposed technique by decrease error in the whole system to an acceptable level to be (0.293502m). Also, the results confirm that the TOA method was better than RSS by using propos technique.
Indoor position localization suffers from the regressive signal when the system implement based on Receive Signal Strength (RSS) and time synchronization when implement based on Time of Arrival (ToA). Those problems lead to high error in terms of position localization. To mitigate those errors many techniques and methods are deployed such as NLOS identification, Maximum Likelihood (ML), and weighted least-squares (WLS). In this paper, a new technique based on optimization of transmitter location has been proposed by separating the case study building into multi-zone, each zone having specific parameters which defer from other ones. The deployed receivers were 8 for the zones (A-F) and 20 into the zone G to be 68 for the whole system. There are three transmitters deployed with a changeable position to select a better one. The results confirm that the error improved from (0.638m) based on individual TOA to (0.136m) by using propose Multi-zone ToA, while improved from (0.756m) rely on individual RSS to (0.1223m) based on Multi-Zone RSS.
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