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In order to enhance the performance of the existing beamformer-based direction-of-arrival (DOA) estimation methods, a novel DOA estimation method based on the sparse and low-rank decomposition of the sample covariance matrix is proposed. First, the sample covariance matrix is divided into the covariance matrix of the desired signal and interference as well as that of noise. The first component is...
The histogram algorithm based on sound intensity having been widely used to estimate the azimuths of underwater acoustic targets. The advantage of this algorithm is that all we need is a single vector hydrophone to distinguish multiple targets' azimuths. The histogram approach acquiesces in that the acoustic pressure is perfectly correlated with the particle velocity. However, the sound field excited...
This paper addresses the problem of robust tracking control of networked control systems with communication constraints (network-induced delay, packet dropouts, and packet disorder) and external disturbance. A novel networked predictive control algorithm based on k-order adaptive discrete-time sliding-mode control (k -ADSMC) is proposed. The ADSMC, which can self-adapting adjust sliding-mode parameters...
In this paper, an improved joint processing algorithm based on Estimation of Signal Parameters via Rotational Invariance Technique(ESPRIT), which can efficiently combine acoustic pressure and analytic velocity, is proposed to estimate azimuth angle. This method can be applied in acoustic vector sensor array (AVSA) of any formation. A novel cross-covariance matrix of acoustic pressure and analytic...
The direction-of-arrival (DOA) estimation for the long-distance underwater acoustic sources usually suffers from low levels of signal-to-noise ratio (SNR) and insufficient snapshot data. Therefore, a novel signal self-nulling based DOA estimation algorithm is proposed. First, assume that the angular sector, where the desired signal is located, is known. Then, the beampattern of the minimum variance...
Over the past decades, many phase unwrapping algorithms have been developed and formulated for overcoming the problem of phase ambiguity. In this paper, a novel ambiguity reduced phase unwrapping method is proposed, which unwraps the linear combined phases instead of the instantaneous phases, and thus substantially reduces the degrees of ambiguity. It turns out that the ambiguity-reduce phase unwrapping...
Surface elevation data on a certain road are tested and extracted in this paper. The sampling speed and other information are sized at the same time. After pretreated the elevation data by finite impulse response filter, finished the power spectrum estimation by the methods of traditional algorithm and improved algorithm, and obtained power spectrum estimation on measured pavement. The given power...
Web-based online submission of computer aided design (CAD) models for prototype parts is getting popular among service bureaus and gaining wider acceptance among rapid prototyping users. In the web based rapid prototyping (RP), an instant quote needs to be generated for an arbitrary polygonal model (usually in STL format). Hence the manufacturability analysis of polygonal models is critical in automating...
The increasingly large ensemble size of modern High-Performance Computing (HPC) systems has drastically increased the possibility of failures. Performance under failures and its optimization become timely important issues facing the HPC community. In this study, we propose an analytical model to predict the application performance. The model characterizes the impact of coordinated checkpointing and...
The paper presented a novel intra-rate estimation method for H.264/AVC rate control. This method establishes the intra-frame rate-quantization (R-Q) estimation model by using gradient-based picture complexity measure. By this R-Q model, the quantization parameters can be accurately obtained. Simulation results show that by using this scheme, better rate control for Intra-frames.
To solve moving parameters identification problem for deep sea-bed mining robot, estimation model of key parameters is built after the discussion on robot dynamic model and hydraulic system. And a controller based on key parameters estimation model is presented to accomplish the path following task for deep sea-bed mining robot with assumption that the desired path is given. Experiment results on...
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