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Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. Using a theoretical analysis, we first show how selection of different signal powers and frequencies can improve...
This paper presents a robust distributed weighted least-square scaling localization algorithm based on the local network feature. It first filters out 1-hop gross ranging errors of the unknown nodes by using the threshold parameters of extreme ranging overestimates and extreme ranging underestimate with the local network feature, and then employs Gauss-kernel- weighted least squares to position nodes...
Location of a source is of considerable interest in wireless sensor networks, and it can be estimated from passive measurements of time difference of arrival (TDOA). A novel algorithm for source location by utilizing the TDOA measurements of a signal received at spatially separated sensors is proposed. The algorithm is based on the generalized total least-squares (GTLS) method and gives an explicit...
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