In this paper we study the joint estimation of the direction-of-arrival (DOA), signal and channel parameters for an unknown polynomial phase signal in a multipath channel. We derive the Cramer Rao bound (CRB), and use...
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In this paper we study the joint estimation of the direction-of-arrival (DOA), signal and channel parameters for an unknown polynomial phase signal in a multipath channel. We derive the Cramer Rao bound (CRB), and use it to study the dependence of the optimal performance on the SNR, and the spatial and temporal separation, of the different paths. Finally, we compare the optimal DOA estimation performance to the performance achievable by several suboptimal estimators, and to the performance achievable in the presence of a single propagation path.
signal cancellation causes the performance of conventional adaptive beamformers to severely deteriorate in environments containing interference sources that are correlated with the signal. We propose an algorithm whic...
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signal cancellation causes the performance of conventional adaptive beamformers to severely deteriorate in environments containing interference sources that are correlated with the signal. We propose an algorithm which overcomes the signal cancellation problem for wideband signals. The proposed algorithm applies array manifold interpolation to perform frequency domain averaging, which reduces the correlation between the signals and the interference sources. In contrast to other algorithms that apply frequency averaging, the algorithm proposed does not require any preliminary estimation or prior information on the interference environment.
This paper presents a new approach to lossy image compression through singularity preservation to obtain high compression ratios. The concept of this approach is based on a conjecture that image singularities carry mo...
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This paper presents a new approach to lossy image compression through singularity preservation to obtain high compression ratios. The concept of this approach is based on a conjecture that image singularities carry most of the perceptual information, hence the essential part of an image should be represented by its singularity as opposed to its energy alone. Wavelet maxima have been chosen to represent signal singularity because of their ability to characterize image singularity fully. There are algorithms to reconstruct the original image faithfully from wavelet maxima. A compression scheme can then be designed to reduce the bit rate while preserving singularities. The resulting low bit-rate image has sharp edges without distortions, such as blockiness or blurs. This approach has been used to compress aerial ortho images, in which the perceptual quality of a 27 peak signal-to-noise ratio (PSNR) singularity-preserving image outperforms that of a 30 dB PSNR energy-preserving joint-photographic expert group (JPEG) image at a 15:1 compression ratio.
Orthogonal transmultiplexers have been successfully utilized for multi-user communications. They are of the FDMA type in their most common version. Mostly, frequency-selective PR-QMFs were used in transmultiplexers as...
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Orthogonal transmultiplexers have been successfully utilized for multi-user communications. They are of the FDMA type in their most common version. Mostly, frequency-selective PR-QMFs were used in transmultiplexers as orthogonal user codes for CDMA communications reported in the literature. This conflicts with the fundamentals of CDMA theory. We introduce novel M-valued spread spectrum PR-QMF codes in this paper. It is shown that the proposed M-valued spread spectrum PR-QMF codes with minimized auto- and cross-correlation properties outperform the conventional Gold codes in CDMA communication scenarios considered in the paper.
Various equalization and detection techniques are considered for the digital video cassette recorder (DVCR) application. Bit error rate (BER) performances are evaluated based on computer simulation. The equalization/d...
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Various equalization and detection techniques are considered for the digital video cassette recorder (DVCR) application. Bit error rate (BER) performances are evaluated based on computer simulation. The equalization/detection schemes considered are class IV partial response equalisation followed by Viterbi algorithm detection (PR4/VA), extended class IV combined with VA detection (EPR4/VA), decision feedback equalization (DFE) and fixed-delay tree search with decision feedback (FDTS/DF). For all cases, the rate 24/25 modulation DC-controlled channel code is used. The BER simulations are performed at different channel SNR values and in the presence of off-track, head-tape space variations and sampling phase error. The results show that the FDTS/DF with a search depth of 3 has significant performance advantage and improved robustness over other schemes under various channel conditions.
We address the problem of coherent detection of a signal embedded in heavy-tailed noise modeled as a subGaussian, alpha-stable process. We assume that the signal is a complex-valued vector of length L, known only with...
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We address the problem of coherent detection of a signal embedded in heavy-tailed noise modeled as a subGaussian, alpha-stable process. We assume that the signal is a complex-valued vector of length L, known only within a multiplicative constant. The dependence structure of the noise, i.e., the underlying matrix of the sub Gaussian process, is not known. The intent is to implement a generalized likelihood ratio detector which employs robust estimates of the unknown noise underlying matrix and the unknown signal strength. The performance of the proposed adaptive detector is compared to that of an adaptive matched filter that uses Gaussian estimates of the noise underlying matrix and the signal strength and is found to be clearly superior. The proposed new algorithms an evaluated via Monte-Carlo simulation.
Discrete-time systems using /spl delta/-operator instead of shift operator are being studied vigorously in view of the many numerical advantages they provide. In the design of discrete-time filters, polynomial transfo...
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Discrete-time systems using /spl delta/-operator instead of shift operator are being studied vigorously in view of the many numerical advantages they provide. In the design of discrete-time filters, polynomial transformations from continuous-time systems play an important role. This paper would present efficient tabular algorithms to perform polynomial transformation between continuous-time {s-variable}, /spl delta/-DT {/spl gamma/-variable} and q-DT {z-variable} systems. Both 1-D and 2-D cases are considered.
In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental co...
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ISBN:
(纸本)0818673524
In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental conditions and do not perform well in vehicle classification. The new generation of range or distance sensors that are being developed offer the promise of sensors which are not sensitive to lighting conditions and provide information which should give better vehicle detection and classification percentages than current systems. The focus of this project is to develop an automated vehicle location and classification system based upon imagery obtained from range sensors. Image analysis operators and classification methods are developed for vehicle classification. Preliminary results indicate that accurate vehicle classification can be obtained.
Considering a closed loop model of the cardiovascular system, the authors develop accurate multi-input linear and nonlinear approaches for estimation of the heart beat interval time series using mean arterial blood pr...
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Considering a closed loop model of the cardiovascular system, the authors develop accurate multi-input linear and nonlinear approaches for estimation of the heart beat interval time series using mean arterial blood pressure (MABP), instantaneous lung volume (ILV) and muscle sympathetic nerve activity (MSNA). The nonlinear model proved to be more adequate compared to the linear one, with respiration being the most nonlinear component of the system.
A system of T resources (wireless channels) shared by a number of un-buffered applications is considered. The shared transmission resources are defined to be the slots (packet transmission times) of a TDMA frame (serv...
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A system of T resources (wireless channels) shared by a number of un-buffered applications is considered. The shared transmission resources are defined to be the slots (packet transmission times) of a TDMA frame (service cycle). Packets which are not allocated a channel within the current service cycle are dropped. The quality of service (QoS) vector is equivalently described in terms of (diverse) packet dropping probabilities (p/sub i/), or (diverse) packet dropping rates (d/sub i/). From a precisely defined region of achievable QoS vectors, easy to implement scheduling policies that deliver the achievable QoS vectors are derived. As an example, a policy that delivers a target QoS vector is derived; its performance is verified through simulations.
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