The project objective is to advance the shallow-water coherent communication networking techniques, to achieve high reliability and fast
The project will concern the investigation of innovative solutions for the basic building block of the communication network, that is the Multi-Element Multi-User (MEMU) array receiver operating in the absence of training sequences.
The activities foreseen are the following.
- Analysis and modelling of the shallow water propagation channel. - Analysis and upgrade of the decision-directed array processing algorithms in a receiving network node, combining jointly synchronization and fractionally-spaced decision feedback equalization.
- Introduction of channel identification to update the parameters of a MEMU equalizer, to improve performance.
- Analysis of fast blind array techniques for self-start and selfrecovery. - Combination of blind and decision-directed techniques in dual-mode processors.
- Performance evaluation obtained first on synthetic data generated by a channel and node simulator, then on data gathered at sea.
The expected achievements of the project are:
- to characterise the acoustic propagation in shallow water; - to synthesize innovative array processing algorithms not adopting training sequences;
- to quantify the capability of fast self-start and self-recovery; - to implement a channel and node simulator, for performance evaluation on synthetic data;
- to acquire sea trials data for off-line testing and performance evaluation of the processing and the modelling.
The contents of the proposal are: outlining a communication network; analysing the channel response, and generation of time signals at the receiver input; network node processing, entailing decision-directed equalization, blind and dual-mode processing; performance evaluation by software simulation and sea trials data.
Funding SchemeCSC - Cost-sharing contracts
2628 CK Delft
2600 GA Delft
06903 Sohpia Antipolis
NE1 7RU Newcastle Upon Tyne