| Location-Based Services (LBS), also called geolocation, have become increasingly popular in the past decades. They have several uses ranging from assisting emergency personnel, military reconnaissance and applications in social media. In geolocation a group of sensors estimate the location of transmitters using position and Radio Frequency (RF) information. A review of the literature revealed that a majority of the Received Signal Strength (RSS) techniques used made erroneous assumptions about the distribution or ignored effects of multiple transmitters, noise and multiple antennas. Further, the corresponding algorithms are often mathematically complex and computationally expensive. To address the issues this dissertation focused on RSS models which account for external factors effects and algorithms that are more efficient and accurate.;The models of RSS that were developed in this research include a multiple transmitter model, a multiple antenna model and several models using Differential Received Signal Strength (DRSS). A DRSS model produced results that were 80% more accurate when compared with a traditional path-loss RSS model for localization of multiple transmitters.;The principal contributions of this research to the community include new models for RSS and two novel algorithms used to localize RSS measurements. These contributions also included development of DRSS models and algorithms that have not previously been seen in the literature. |
