Jean-Philippe Montillet

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This work deals with the development of pre-filtering techniques for low-cost devices using high data rate communications. Many positioning algorithms have been recently revisited in a centralized architecture scenario, where a cheap Mobile Sensor is surrounded by N Base Stations. The overview of the system is composed of two blocks: a Smoothing Filters and(More)
The noise in GPS coordinate time series is known to follow a power-law noise model with different components (white noise, flicker noise, and random walk). This work proposes an algorithm to estimate the white noise statistics, through the decomposition of the GPS coordinate time series into a sequence of sub time series using the empirical mode(More)
In 2005 The UK Department for Trade and Industry (DTI) commenced funding a project called Visualising Integrated Information on Buried Assets to Reduce Streetworks (VISTA). The project aims to precisely map buried assets (gas pipes, telecom cables, etc) and increase the efficiency of the process in challenging environments such as in urban canyons, where(More)
This paper examines the performance of time of arrival (TOA) estimation techniques for an UWB system employing a non-coherent energy collection receiver. The performance of two different algorithms, namely, the threshold-crossing (TC) and the maximum selection (MAX) algorithms, are compared in terms of TOA estimation error. The effect of the TOA estimation(More)
With the recent advances in the theory of fractional Brownian motion (fBm), this model is used to describe the position coordinate estimates of Global Navigation Satellite System (GNSS) receivers that have long-range dependencies. The Modified Leaky Least Mean Squares (ML-LMS) algorithms are proposed to filter the long time series of the position coordinate(More)
A new distributed algorithm is described in this paper for localizing sensor network nodes in Wireless Sensor Networks (WSN). The algorithm shares a common three-phase structure: (1) determine node-beacon distances, (2) build a cost function for every sensor node, and (3) compute the coordinate of the node. The coordinates of the sensor nodes are computed(More)
This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition(More)
Fractional Brownian motion (fBm) is an important mathematical model for describing a range of phenomena and processes. The properties of discrete time fBm (dfBm) when m equals 1 and 2 have been reported in the literature. This paper focuses on analysis of auto-covariance matrix of the m-th order (m > 2) of a dfBm process and the error associated with the(More)