This study presents an analysis of 195 rainfall events gathered with the X-band weather radar SOLIDAR and a tipping bucket rain gauge network near Delft, The Netherlands, between May 1993 and April 1994. The aim of this paper is to present a thorough analysis of a climatological dataset using a high spatial (120 m) and temporal (16 s) resolution X-band radar. This makes it a study of the potent...

The detection of low, slow and small (LSS) targets, such as drones, is a developing area research in radar, wherein the presence ground clutter can be quite challenging. LSS because their unusual flying mode, easily shadowed by clutter, leading to poor radar performance. In this study, we investigated feasibility performance mitigation method combining slow-time multiple-input multiple-output (...

This workshop aims to explain and debate how new computing techniques can open opportunities to develop innovative radar processing techniques. GPU computing applied to radar signal generation has shown that it is possible to simulate, in quite real time, a dynamic sea with ships in motion. Concerning target simulation, the use of a dynamic sea surface is a way to simulate realistic motions and...

This paper addresses the problem of adaptively canceling both conventional clutter and terrain-scattered jamming (TSJ) in airborne radar systems. Existing algorithms for this type of interference adapt first in space/fast-time to cancel the TSJ, then in space/slow-time to cancel the conventional clutter. Unfortunately, the rapid weight updating required to cancel the nonstationary TSJ will modu...

In this paper, we consider the signal model and parameter estimation for multiple-input multiple-output (MIMO) radar with colocated antennas on stationary platforms. Considering internal clutter motion, a closed form of the covariance matrix of the clutter signal is derived. Based on the proposed closed form and low rank property of the clutter covariance matrix and by using the singular value ...

Singular value decomposition and information theoretic criterion based clutter reduction is proposed for ground penetrating radar imaging. The scheme is capable of discriminating target, clutter and noise subspaces. Information theoretic criterion is used with conventional singular value decomposition to find the target singular values. The proposed scheme also works for extracting multiple tar...

The Defence Science and Technology Organisation of Australia undertakes the role of evaluating proposals for the acquisition and upgrade of military systems. Simulation is increasingly employed as a means of assessing military effectiveness and systems performance. This might be because the systems concerned exist only on paper or because there are too many variables affecting the system’s perf...

In the United States, the WSR-88D (NEXRAD) Doppler weather radar network will be upgraded with a dual polarization capability (Istok et al., 2009) beginning in late 2010. This will allow for type characterization of bulk scatterers (hydrometeor classification) in addition to the standard radar moments. Knowing which scatterers dominate a radar return offers physical insight into underlying atmo...

In this paper, a detector/estimator is proposed for compressed sensing radars, which does not need to reconstruct the radar signal, and which works directly from compressive measurements. More precisely, through direct processing of the measurements, and without the need for reconstructing the original radar signal, the system performs target detection, and then estimates range, Doppler frequen...

The results of automatic discrimination between weather and sea clutter using S-band dual-polarization Doppler weather radar are presented. The data were collected with the NCAR SPOL radar located in the Pacific shoreline near Seattle, USA. The multiparameter dataset includes backscattered power P (or radar reflectivity Z), Doppler velocity V, spectrum width σv, differential reflectivity ZDR (p...