The Doherty concept has proven to be a very effective technique for designing amplifiers, which maintain a high efficiency over a wide range of operating conditions. This technique is extensively used in terrestrial applications like base stations where power efficiency is getting more and more attention. Power efficiency is also of concern for space and the Doherty concept could certainly help in designing more efficient PAs. Ka-band is now being considered for mobile services that could offer very high capacity as compared to the existing ones at L-band.

“Remote Sensing for Marine Litter - RESMALI” has identified the ideal parameters to study marine litter (ML) from space, including spectral bands with affordable signal-to-noise ratio (SNR) at top-of-atmosphere (TOA) level, in a range of wavelengths from visible to SWIR. To continue this path towards a dedicated mission, performance assessment against simulated real-case scenarios of ML is key. We want to build a simulator to estimate ML signal at TOA from a set of scenarios representing the various applications already targeted by the community (e.g.

There is growing global concern over the chemical, biological and ecological impact of marine plastic pollution. Every year many millions of tons of plastic enter the global oceans but where it goes remains largely unknown. Remote sensing has the potential to provide long-term, global monitoring but for plastics in the ocean it is still in early stages.

The straylight characterisation and verification of EO instruments are quite challenging due to the stringent requirements regarding straylight and radiometric accuracy typically set for such instruments. The straylight verification generally requires an input source as an extended black (Lmin)/white(Lmax) scene with a very sharp and high contrast transition between the dark/bright region. The realisation of such a source is not straightforward as it requires careful design so as not to introduce additional straylight by its own.

With the increased frequency of shipping activities, such as tourism and freight’s transport, navigation safety has become a major concern, especially when human casualties, environmental issues and economic losses are considered. Even if new technologies have already supplied aids to pilots for the navigation risk reduction, the International Maritime Organization (IMO) reports that the majority of accidents could have been avoided by providing suitable input to the navigation decision-making process.

Background and justification:

•The railway simulation testbed is an essential tool / capability needed to support validation of GNSS receiver technologies / techniques / integrity algorithms for safety-related applications in railway

•Testbed complements field testing allowing conditions that are statistically unlikely to be observed in the field to be simulated in a highly controlled and repeatable environment

Achievements and status:

The focus of study is to build near-IR capability onto Si CCDs for Time-Delay-Integration (TDI) applications, with the main requirement being charge domain summation, which allows the lowest noise performance on these types of devices. Currently there is no product that exists to do this. Si CCDs are a well-established technology which, whilst being an “old” technology, are still world leading in certain applications up to a wavelength of ~1μm.

The activity aims at developing a tool that can investigate the failure modes of GNSS systems. Such tool can then be used for detection of failures, and/or to characterise the tolerance of GNSS system or subsystem architectures to failures. Focus will be given primarily to failures and failure modes that may impact critical services (e.g. Safety-of-Life). The tool shall be able to model GNSS systems and subsystems (i.e. ground or space segments, elements and/or components) and its failure modes in a modular way.

Detecting, identifying, quantifying and tracking strategies for leakage plastic litter in terrestrial as well as aquatic environments using remote sensing technologies is expected to support future continuous monitoring of waste pollution at wide covering geo-spatial scales. The methodologies to detect plastic waste from airborne or satellite observations should be based on fundamental and well-characterised optical features.