Mohamed Sahmoudi

TL;DR: The current aeronautical Space Based Augmentation System (SBAS) DO-229D Minimum Operational Performance Specification (MOPS) SBAS standard mainly defined by the Radio Technical ComiteeCommittee for Aeronautical applications (RTCA) is extended.

TL;DR: This paper proposes two approaches to combine the data from the different CA-CFAR detectors to achieve even better detection performance and proposes another preprocess­ ing approach, based on a non-linear compressing filter, to reduce the noise effect.

Abstract: This paper deals the cell averaging constant false alarm rate (CA-CFAR) distributed RADAR detection of targets embedded in a non Gaussian clutter. We develop a novel pre-processing algorithm to reduce spiky clutter effects, notably a non linear compression procedure. This technique is similar to that used in non uniform quantization where a different law is used. Two approaches to combine data from the pre-processed CA-CFAR detectors are proposed The performance characteristics of the proposed CA-CFAR distributed systems are presented for different values of the compression parameter. We demonstrate, via simulation results, that the pre-processed procedure combined with distributed systems when the clutter is modeled as alpha-stable distribution, are computationally efficient and can significantly enhance detection performance

TL;DR: In this article, the clock bias and drift of individual receivers with respect to GPS time are not predictable and will produce large errors in measurements and position if the problem of clock difference is not taken into account in the collaborative processing.

TL;DR: It is demonstrated, via simulation results, that the pre-processed procedure combined with distributed systems when the clutter is modeled as alpha-stable distribution, are computationally efficient and can significantly enhance detection performance.