Weather Radars provide valuable information on various weather phenomenon such as rain, hail, storm, etc that are increasingly become important in today’s scenario where disaster management has got a wider role to play. But due to the way a radar works, not only precipitation but also unwanted echoes ,that we broadly classify as clutter , which includes returns from land, sea waves, birds, inse...

Ice sounding with radar is a well-established technique for the retrieval of ice depth, and provides information on ice structures and layering. Airborne radar ice sounders suffer from off-nadir surface clutter that masks the signal from bedrock and ice layers with unwanted but simultaneously received surface reflections. This is of importance for future satellite ice-sounding missions, as the ...

Nonlinear dynamics are basic to the characterization of many physical phenomena encountered in practice. Typically, we are given a time series of some observable(s) and the requirement is to uncover the underlying dynamics responsible for generating the time series. This problem becomes particularly challenging when the process and measurement equations of the dynamics are both nonlinear and no...

Sea clutter is the backscattered returns from a patch of the sea surface illuminated by a radar pulse. The amplitude waveforms of sea clutter and indoor radio propagation are very complicated. Can the apparent randomness of these waveforms be attributed to be generated by low-dimensional chaos? Based on the assumption that a chaotic attractor is characterized by a noninteger fractal dimension a...

In conventional radar signal and image processing, the background clutter and noise are assumed to follow the Gaussian model. Under this assumption, it has been shown that the conventional matched filter is optimal in target detection (Reference 1). However, recent research has found that many nonhomogeneous types of clutter and noise, such as sea clutter, do not fit the Gaussian model well bec...

A class of novel STAP algorithms based on sparse recovery technique were presented. Intrinsic sparsity of distribution of clutter and target energy on spatial-frequency plane was exploited from the viewpoint of compressed sensing. The original sample data and distribution of target and clutter energy was connected by a ill-posed linear algebraic equation and popular L1 optimization method could...

An adaptive neural-network approach to targetand clutter-modelling is introduced. A key novelty of this approach is that both targets and clutter can be modelled within the same neural network, so that detection and recognition can take place simultaneously within an integrated framework. The approach can therefore be applied across the spectrum of ATR discrimination levels, e.g.: detection of ...

With the increasing prevalence of virtual reality, games for this medium have also been increasing in number lately. Several factors affect the balancing of video games. However, effects of environmental clutter and motion on game design for virtual reality have not been well explored yet. Environmental clutter and motion are important in making virtual environments more interesting and closer ...