In this paper, we develop a new maximum likelihood (ML) moving target parameter estimation technique for multipleinput multiple-output (MIMO) radar. It is required for this technique that different receive antennas ha...
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The paper. is devoted to the description and practical verification of a new CCD linear image sensor control method. This method is used for inherent signal preprocessing or processing in the CCD linear image sensor. ...
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ISBN:
(纸本)0780381386
The paper. is devoted to the description and practical verification of a new CCD linear image sensor control method. This method is used for inherent signal preprocessing or processing in the CCD linear image sensor. This new method is suitable for a movement compensation, an one-frame filtration or a two-frame filtration. Because of the similarity between the Non-Recursive Digital Filter with Finite Impulse Response (NRDF FIR) and the new mode it was named FIR mode. Conclusions and hints applicable for operation of CCD image sensor in FIR mode are also included in the paper.
This paper describes our experiences using a wireless sensor network to monitor volcanic eruptions with low-frequency acoustic sensors. We developed a wireless sensorarray and deployed it in July 2004 at Volcan Tungu...
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ISBN:
(纸本)0780388011
This paper describes our experiences using a wireless sensor network to monitor volcanic eruptions with low-frequency acoustic sensors. We developed a wireless sensorarray and deployed it in July 2004 at Volcan Tungurahua, an active volcano in central Ecuador. The network collected infrasonic (low-frequency acoustic) signals at 102 Hz, transmitting data over a 9 km wireless link to a remote base station. During the deployment, we collected over 54 hours of continuous data which included at least 9 large explosions. Nodes were time-synchronized using a separate GPS receiver, and our data was later correlated with that acquired at a nearby wired sensorarray. In addition to continuous sampling, we have developed a distributed event detector that automatically triggers data transmission when a well-correlated signal is received by multiple nodes. We evaluate this approach in terms of reduced energy and bandwidth usage, as well as accuracy of infrasonic signal detection.
Time-reversal methods have attracted increasing interest recently. The so-called computational time-reversal approach creates an image of the illuminated scene by computing the back-propagated field and is useful for ...
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Time-reversal methods have attracted increasing interest recently. The so-called computational time-reversal approach creates an image of the illuminated scene by computing the back-propagated field and is useful for detecting and estimating targets in the scene. In Shi and Nehorai ["Maximum Likelihood Estimation of Point Scatterers for Computational Time-Reversal Imaging," Communications in Information and Systems, vol. 5, no. 2, pp. 227-256, 20051], we estimated point scatterers by maximum-likelihood estimate (MLE) using the Born-approximated physical model, as well as the Foldy-Lax model. In this correspondence, we further find an explicit relationship between energy-based basic time-reversal imaging and the MLE approach: the time-reversal imaging function differs by only a scaling factor from the likelihood imaging function using the estimated scattering potential when a single-scatterer model is employed. Furthermore, this scaling factor is a function of the imaging position only. We show that, as a result, time-reversal imaging has a near-far problem that tends to produce a weaker image for areas further away from the imaging arrays, whereas the MLE-based image is more balanced. Experimental results confirm this conclusion.
Protocols for digital wireless communication systems generally contain known bit sequences that are transmitted periodically for the purposes of training and/or synchronization. We study the performance improvement th...
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A new approach to cochannel interference rejection in frequency selective fading using an antenna array is presented. The fundamental idea is to exploit the higher-order cyclostationarity of the digitally modulated si...
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In this paper, non standard deterministic parameters estimation is considered, i.e. the situation where the probability density function (p.d.f.) parameterized by unknown deterministic parameters results from the marg...
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In this paper, orthogonal low-dimension models for broad-band sources, as observed by an array/delay-line structure, are developed. The models are termed broad-band source representation spaces, and are subspaces of t...
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In this paper, orthogonal low-dimension models for broad-band sources, as observed by an array/delay-line structure, are developed. The models are termed broad-band source representation spaces, and are subspaces of the observation space. They are generated from eigenstructures of source sample covariance matrices and represent sources efficiently in the 2nd-order statistical sense. For a single broad-band source, propagating in a pure delay environment and observed with an isotropic array, an accurate indication of the model dimension is derived which is independent on the array configuration, being a function of the observed source time-bandwidth product only. Using these representations, procedures are described for controlling the spatial and spectral response of linearly constrained minimum variance broad-bandarray/beamformers. The procedures employ linear constraints to control complex gain characteristics, over selected bands of frequency, for multiple points of 3-D regions of source locations and do not require the use of steering delays. The constraints are derived from source representation spaces and are termed eigenvector constraints. Simulations are presented which illustrate the effectiveness of the new linear constraints.
It is well known that in non-linear estimation problems the ML estimator exhibits a threshold effect, i.e. a rapid deterioration of estimation accuracy below a certain SNR or number of snapshots. This effect is caused...
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sensor devices widely used on vehicles enable the massive data collection for social behavior analysis. We mined trajectory data and on-board sensor data for point-of-interest (POI) locations, which further indicate p...
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