Proposed and existing hyperspectral remote sensors, provide information about the scene of interest at resolutions ranging from few meters to few kilometers in terrestrial and space applications. Understanding the typ...
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In this paper, a novel method utilizing a multi-walled carbon nanotube (MWNT) gas-ionization sensor based on Lyapunov exponent algorithm was proposed for argon, ethanol, acetone, and ammonia detection. The sensor was ...
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Automatic detection of occluded targets from a sequence of images is an interesting area of research for defense related application. In this paper, change detection methods are investigated for the detection of burie...
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In this paper, the road information collection systems andprocessing algorithms of video signal was researched based on vision sensor, the processor of Smart car used MC9S12XS128, the hardware of Sampling system usin...
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ISBN:
(纸本)9781424451944
In this paper, the road information collection systems andprocessing algorithms of video signal was researched based on vision sensor, the processor of Smart car used MC9S12XS128, the hardware of Sampling system using OV7620 digital camera;The key of software part is the turn of double-array storage andprocessing technology, which made the Acquisition system has higher efficiency, more in line with the requirements of real-time. Experiments have proved that the algorithm has good real-time performance, reliability and robustness.
We propose a space-time compressive sampling (STCS) array architecture by exploiting the sparsity in the angle and frequency domain. Two Doppler-DoA estimation methods are designed to efficiently reconstruct the two-d...
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We propose a space-time compressive sampling (STCS) array architecture by exploiting the sparsity in the angle and frequency domain. Two Doppler-DoA estimation methods are designed to efficiently reconstruct the two-dimensional (2D) sparse signal. The STCS array together with the 2D reconstruction methods allow for accurate yet low-power location and speed estimation of moving targets. The proposed methods are not only tested by simulations but also using an experimental ultrasonic sensorarray setup.
Proposed MIMO and hybrid MIMO/phased array (HMPAR) radar systems have the potential for tremendous flexibility in the choice of the transmit beampattern, through the selection of multiple transmitted signals. This pap...
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In arrayprocessing, lower bounds are used as a benchmark to evaluate the ultimate performance of estimators. Among these bounds, the Weiss-Weinstein bound (WWB) is known as the tightest bound of Weiss-Weinstein famil...
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In arrayprocessing, lower bounds are used as a benchmark to evaluate the ultimate performance of estimators. Among these bounds, the Weiss-Weinstein bound (WWB) is known as the tightest bound of Weiss-Weinstein family, and is able to predict the threshold effect of estimator's mean square error (MSE) at low signal-to-noise ratio (SNR) and/or at low number of snapshots. In this paper, we derive a closed-form expression of the WWB for 3D source localization using an arbitrary planar antenna array in the case of a deterministic known signal. The presented results are shown to be useful for system design such as array geometry optimization.
In this paper, a new method is proposed for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple narrowband coherent signals impinging on an L-shaped sensorarrays structured by two uniform linear...
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In this paper, a new method is proposed for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple narrowband coherent signals impinging on an L-shaped sensorarrays structured by two uniform linear arrays (ULAs). The coherency of incident signals is decorrelated through subarray averaging technique, and the null space is obtained through linear operator of the cross-correlation matrix between the received data of two ULAs without eigendecomposition. The elevation angles and the quasi-azimuth angles are firstly decoupled and estimated, and the pair-matching of two groups of angles can be accomplished by using a novel method. Then by investigating the geometrical relationship, the azimuth angles can be obtained. Furthermore the asymptotic mean-square-error (MSE) of the estimated elevation and azimuth angles are derived, and the effectively of the proposed method is verified through numerical examples.
Far End Crosstalk (FEXT) in a twisted pair cable is the most dominant noise impairment in short loops for VDSL2 systems. Its impact significantly reduces the VDSL2 modems performance and in some cases might reduce the...
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Far End Crosstalk (FEXT) in a twisted pair cable is the most dominant noise impairment in short loops for VDSL2 systems. Its impact significantly reduces the VDSL2 modems performance and in some cases might reduce the modem throughput by more than 50%. Canceling the FEXT impact using Dynamic Spectral Management Level 3 (DSM L3, aka Vectoring aka FEXT Cancellation) is an emerging technology for high rates data traffic over copper (Up to 100Mbit/sec). We have developed an eight VDSL2 modems prototype with DSM L3 capabilities. In this article we introduce an overview of our system design and a variety of tests results that reflect the DSM L3 potential.
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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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 by outliers and is not captured by standard tools such as the Cramér-Rao bound (CRB). The search of the SNR threshold value can be achieved with the help of approximations of the Barankin bound (BB) proposed by many authors. These approximations may result from linear or non-línear transformation (discrete or integral) of the uniform unbiasedness constraint introduced by Barankin. Additionally, the strong analogy between derivations of deterministic bounds and Bayesian bounds of the Weiss-Weinstein family has led us to propose a conjectural bound which outperforms existing ones for SNR threshold prediction.
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