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Spectrum sensing is a fundamental component in cognitive radio. A major challenge in this area is the requirement of a high sampling rate in the sensing of a wideband signal. In this paper a wideband spectrum sensing model is presented that utilizes a sub-Nyquist sampling scheme to bring substantial savings in terms of the sampling rate. The correlation matrix of a finite number of noisy samples is...
Fault location is important for attitude determination (AD) of satellite which provides better services without any degradation. Firstly, the assumption of statistically independent between 3-axis Euler angles and statistically independent between Euler angles and faults are proposed in this paper. Also it is assumed the fault appears only in one group of sensors and the fault is additive. With two...
We study the performance of distributed source coding in large wireless sensor networks obtained with enhanced correlation estimators. Distributed source coding is especially useful when data correlation exists since it tries to remove the redundancy in the information; and dense sensor networks are rich in correlations. Existing results from information theory show that this compression can be executed...
A typical consumer digital camera uses a Color Filter Array (CFA) to sense only one color component per image pixel. The original three-color image is reconstructed by interpolating the missing color components. This interpolation process (known as demosaicing) corresponds to solving an under-determined system of linear equations. In this paper, we show that by replacing the traditional CFA with a...
This paper addresses a new method based on spatial correlation matrix to calibrate uniform linear array for HF Surface Wave Radar (HFSWR). Strong point echoes, such as target, clutter, transponder and so on, which are highly spatial correlated, can be used to structure spatial correlation matrix. And the matrix contains angles of echoes and phase errors information. In this paper, we use two-dimension...
In this paper, a computationally efficient algorithm to estimate two-dimensional (2-D) direction-of-arrival (DOA) angles of narrowband signals impinging on an L-shape array is proposed. This report was inspired by the work of Tayem and Kwon, who developed a fast algorithm for estimating 2-D DOAs using the propagator method (PM) of the L-shape array (PMLA). Although PMLA is efficient, its performance...
Multisensor data association is very important in multisensor information fusion, which will decide whether the data from different sensors is representative for the same target. Tradition data association uses the joint probabilistic data association (JPDA) algorithm as the priority means, which depends on the state measurement and has long computation time. So, in this paper, a new algorithm based...
Abstract-Given the ever growing demand for radio spectrum,cognitive radio has recently emerged as an attractive wireless technology. Since orthogonal frequency division multiplexing (OFDM) is one of the major wideband transmission techniques, detection of OFDM signals in low signal-to-noise-ratio (SNR)scenario is an important research problem. In this paper, it is shown that the cyclic prefix correlation...
The paper evaluates the performance of a CDMA based wireless sensor networks (WSN) with layered architecture in terms of energy consumption for successful transmission of data packets, considering only correlation among interferers in shadowed environment. We consider a model of interference at the sink for a layered architecture of CDMA based WSN with two kinds of interference, multiple access interference...
An improved correlation algorithm to detect phase difference in Coriolis flow meter is described. It is based on the traditional correlation algorithm, but the length of correlation varies. The new algorithm can overcome the frequency varying in Coriolis flow meter and reduce the error induced from non-period correlation computation.
In this paper we address the problem of Distributed Compressed Sensing (DCS) of correlated signals. We model the correlation using the sparse components correlation coefficient of signals, a general and simple measure. We develop an sparse Bayesian learning method for this setting, that can be applied to both random and optimized projection matrices. As a result, we obtain a reduction of the number...
Ultrasonic sensors are widely used in distance measurement for robots. In practice, there is an important problem about the measurement resolution which is the ability to distinguish different targets. This paper is concern about the range resolution of the ultrasonic distance measurement using cross correlation. The highlight model is introduced to describe the resolution playing an important role...
Vibratory beam angular rate sensors are fast becoming the most widely used sensors in many applications. The mathematical modeling on the quadrature error of quartz beam vibratory angular rate sensor was presented in this paper. The effects of quadrature error model to the sensor's performance were analyzed based on the analysis of work principle and error induced by quadrature. And the correlation...
Accurate strip speed measurement is desirable in certain manufacturing industries. This paper presents the recent development in the non-contact measurement of strip speed using electrostatic sensors in conjunction with correlation signal processing techniques. A pair of narrow strip electrodes is used to derive signals from a moving solid surface. The speed of the solid surface is then determined...
Oil-water two-phase flow is commonly encountered in industrial processes of petroleum and chemical engineering. The process parameters, such as velocity and phase concentration of the mixture are of great importance in both scientific and engineering field. Cross correlation technique is one of the methods of calculating the flow velocity by deriving the transit time of the fluid flowing through a...
Spectrum sensing is an essential part of the cognitive radio systems which can be the solution for radio spectrum shortage. There are various methods of the signal detection; many of them are based on the energy detector. Another group of methods is based on known detected signal parameters as the method for DVB-T signal detection described in this paper. Because DVB-T uses OFDM with cyclic prefix,...
The usage of wireless activity recognition systems is significant in many applications. The aim of this paper is to show the expressive power of time domain features based on the case study of correlation coefficient feature for detection of the following types of movement: hopping, running, jumping, balancing and skipping. Time domain analyses were applied to acceleration data and a confusion matrix...
We study the spatio-temporal sampling of a diffusion field driven by K unknown instantaneous source distributions. Exploiting the spatio-temporal correlation offered by the diffusion model, we show that it is possible to compensate for insufficient spatial sampling densities (i.e. sub-Nyquist sampling) by increasing the temporal sampling rate, as long as their product remains roughly a constant. Combining...
This paper presents a new and fast polarity algorithm based on the analysis and summary of the correlators for flow measurement currently used at home and abroad. This algorithm is derived from the ability of microprocessor to handle 8-bit simultaneously and uses peak search through bisection method to greatly reduce the cost of correlators. It is possible to measure multichannel flow by one correlator...
Target detection and tracking are the essential functions of modern SONAR systems. Once the direction of arrival is estimated the target is tracked continuously in bearing and the target spectral information is used for classifying the target. A continuous and reliable tracking method is essential for getting the spectral information and classification of the target. Conventional tracking methods...
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