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Near-optimal states estimation in dynamic systems with Gaussian noise has been extensively applied in research using Kalman filtering (KF). This method is especially useful in technological applications that use noisy data from several sensors or need the estimation of an optimal state vector in systems with multiple observations. A particular situation is that in which some constraints are applied...
In recent years, communications systems through mains, known as PLC (Powerline Communication), have received a lot of interest as part of intelligent networks or smart grids, as well as for multimedia applications at homes. In broadband PLC, systems using multicarrier modulations allow the mitigation of selective frequency fading in the channel. Nevertheless, these modulations require accurate time...
Ultra-Wideband (UWB) has a high interest in research and industry for accurate indoor positioning. This technology comprises signals with a bandwidth of at least 500 MHz at a power decay of −10dB. This large bandwidth con-feres the capability of resolving multipath, penetrating through obstacles and accurate ranging. However, NLOS (Non-Line-Of-Sight) conditions produced by obstacles in indoor environments...
The underwater channel is a highly variable medium due to the influence of several effects on the acoustic signal, and the physical variability of the environment. This behavior makes the underwater channel a very difficult one to model, and also a complex environment to work with. In acoustic-based positioning or sonar systems, where it is important to know accurately the time-of-flights of the signals,...
This paper proposes a way to improve the position estimates in an indoor location systems (ILS) based on readings from the power levels (RSSI) of an ad hoc ZigBee network. A mobile object, also equipped with a ZigBee device, can be located, positioned, and tracked by the system. The initial estimate of the mobile node position is extracted from IC devices from Texas Instruments, equipped with a specific...
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