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Classical GPS/Acoustic positioning techniques using ranging position location in low depth environment suffer from the bad system geometry. The aim of this article is to propose a new hyperbolic position location technique that takes into account the system geometry. In our approach we process the position with the normal distribution of the beacon location defined as a sum of uniform distributions...
In the context of the design of a simple lightweight underwater positioning system aboard a boat, we aim to develop an innovative approach for path difference estimation. In this work, we consider a spread spectrum communication system with a CDMA-BPSK modulation. Communications are realized between a transceiver, an underwater transponder and two hydrophones. The two hydrophone signals are integrated...
Soil moisture can be processed with the difference of power between a direct and a nadir GNSS signal reflected by the soil. The estimate carrier to noise ratio C/N0 is a classical measure of power for the GNSS signals. We show in this paper that the classical estimate of C/N0 processed for one satellite depends on the carriers, code and phase delay of the visible satellites. This dependence decreases...
New GNSS signals broadcast at different carrier frequencies include, most of them, a pilot and data channels. In this article we propose to fuse the information of code and phase delay provided by the two channels in order to improve the position accuracy and to extract the message of navigation. The proposed system is composed of a change point estimate of the slope of discriminator variations and...
Many practical application in the field of robotic and perception are using angular data. In this work we present a multi-sensor multi-temporal data fusion filter for angular data. Most of the time, statistic filters, are designed on linear domain. In this work we propose a recursive filter defined on the circular domain with a von Mises distribution. In our application we consider a set of measurement...
Mean wind speeds and mean wind directions are important input parameters for environmental models and applications. In many practical cases, anemometer sensor provides measurements of direction and wind speed, supposed to be Gaussian and piecewise stationary. In this work we use a von Mises distribution and a Log-normal distribution in order to model sensor data with distributions having a physical...
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