The continuous and dynamic nature of data streams may lead a query execution plan (QEP) of a long-running continuous query to become suboptimal during execution, and hence will need to be altered. The ability to perform an efficient and flawless transition to an equivalent, yet optimal QEP is essential for a data stream query processor. Such transition is challenging for plans with stateful bin...

Abstract This paper proposes the scheme of subband spacetime adaptive processing (SSTAP) for mobile communications. Unlike the available array processing methods, this scheme combines the advantages of the space-time adaptive processing (STAP) and the subband signal processing. It is known that the main difficulties for the real-time implementation of STAP are due to its huge computation burden...

A multichannel terrain observation by progressive scans (TOPS) synthetic aperture radar (SAR) system is capable of imaging a wider swath with a higher azimuth resolution for improved moving target detection. For TOPS SAR, due to antenna beam steering, the azimuth bandwidth of background clutter is much larger than the instantaneous signal bandwidth. To overcome this problem, a method referred t...

The processing type is usually a fixed property of an enterprise system that is decided when the architecture of the system is designed, prior to implementing the system. This choice depends on the non-functional requirements of the system. These requirements are not fixed and can change over time. In this paper, we introduce the concept of a middleware that is able to adapt its processing type...

In this paper, we deal with the problem of constrained code optimization for radar Space-Time Adaptive Processing (STAP) in the presence of colored Gaussian disturbance. At the design stage, we devise a code design algorithm complying with the following optimality criterion: maximization of the detection performance under a control on the regions of achievable values for the temporal and spatia...

Airborne radar Space-Time Adaptive Processing (STAP) in a heterogeneous, target-rich environment is addressed. An efficient Kalman Filter implementation of the normalized form of the Parametric Adaptive Matched Filter (NPAMF) is introduced and shown to perform well against a detailed simulation of a site-specific, dense-target environment, Ground Moving Target Indication (GMTI) scenario. The nu...

Space Time Adaptive Processing (STAP) techniques that are being developed for the next generation radar systems require very high computing power. In order to meet the real-time requirements in STAP applications, High Performance Computing (HPC) systems are used. In this paper, we present a methodology to design high throughput-rate parallel algorithms for STAP on HPC platforms. Data remapping ...

With the wide use of GPS, it becomes more and more important to improve the positioning accuracy. The GPS signal is very weak, and can be easily interfered. Space-time adaptive processing(STAP) can suppress the jamming not only in the temporal domain, but also in the spatial domain. STAP has now become a good candidates for jamming mitigation in GPS. In order to evaluate the performance of vari...

In this paper, Optimum adaptive loading algorithms are applied to multicarrier system with Space-Time Block Coding (STBC) scheme associated with space-time processing based on singular-value decomposition (SVD) of the channel matrix over Rayleigh fading channels. SVD method has been employed in MIMO-OFDM system in order to overcome subchannel interference. Chaw’s and Compello’s algorithms have ...

Adaptive algorithms require a good estimate of the interference covariance matrix. In situations with limited sample support such an estimate is not available unless there is structure to be exploited. In applications such as space-time adaptive processing (STAP) the underlying covariance matrix is structured (e.g., block Toeplitz), and it is possible to exploit this structure to arrive at impr...