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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"

共 1808 条记录，以下是1711-1720 订阅

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Space-time coded eigenbeamforming for wireless downlink transmission

Space-time coded eigenbeamforming for wireless downlink tran...

引用

International Conference on signal processing Proceedings (ICSP)

作者： Yongzhao Li Feng Wang Guisheng Liao National Key Laboratory of Radar Signal Processing Xidian University Xi'an China Shanghai Institute of Micro System and Information Technology Shanghai China

Space-time (ST) coded eigenbeamforming (EBF) is studied in this paper. A group of eigenvectors of the spatial-correlated-matrix (SCM) are introduced as the weights of the ST code-matrix. In a multipath environment, EBF can channel the transmit power in the directions with the biggest gains. It works very well with downlink transmission and time-division-duplex modes. Since ST coded EBF technique combines diversity and beamforming techniques, it is one of the most important research directions in the realm of space-time coding.

关键词： Downlink Base stations Fading Phased arrays Eigenvalues and eigenfunctions radar signal processing Space technology Transmitters Feedback Performance analysis

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A novel blast based on RAKE receiving for wireless communications

A novel blast based on RAKE receiving for wireless communica...

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Sensor Array and Multichannel signal processing Workshop

作者： Yongzhao Li Guisheng Liao Feng Wang National Key Laboratory for Radar Signal Processing Xidian University Xi'an China Shanghai Institute of Micro System and Information Technology Shanghai China

ISBN: (纸本)0780385454

Bell layered space-time architecture (BLAST) is a multi-antenna communication structure with high spectrum efficiency, and it has found wide applications in LANs and WANs. However, its performance is much poorer than other space-time coding approaches. In order to improve its performance, a novel BLAST based on RAKE receiving is investigated in this paper. The new system introduces orthogonal spreading sequences (OSS) into the transmitter while retains the basic structure of BLAST. The proposed receiver suppresses interferences from other antennas by using orthogonality contained in the received signals and extracts information from each receive antenna by using RAKE receiving principle to construct efficient statistic decision. We discuss the proposed system over both frequency-flat and frequency-selective fading channels.

关键词： Wireless communication Fading Frequency Receiving antennas Transmitters Interference suppression Transmitting antennas RAKE receivers Decoding Channel estimation

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Multichannel array processing in radar: state of the art, hot topics and way ahead

Multichannel array processing in radar: state of the art, ho...

引用

Sensor Array and Multichannel signal processing Workshop

作者： A. Farina G.A. Fabrizio W.L. Melvin L. Timmoneri Chief Technical Office Radar & Technology Division AMS Rome Italy Radar Signal Processing Group Intelligence Surveillance and Reconnaissance Division Defence Science and Technology Organisation Edinburgh SA Australia Sensors and Electromagnetic Applications Laboratory Georgia Institute of Technology GA USA

The space-time adaptive processing (STAP) technique was originally conceived to suppress clutter (and jamming) received by radar on board moving platforms such as aircraft; this was so because of the clutter ridge in the Doppler frequency and angle (spatial frequency) plane. In fact, the clutter echoes appear coupled in angle and Doppler frequency. When the platform is stationary this coupling does not exist any more. However, the STAP technique still seems valuable when clutter and jamming are present and their statistical features are not known a priori. This paper demonstrates concerning this statement by showing results concerning the processing of recorded live data. It also tackles the problem of selecting an algorithm to work in a nonstationary, nonhomogeneous environment.

关键词： Array signal processing signal to noise ratio Jamming radar clutter radar detection Spaceborne radar Colored noise Frequency estimation Covariance matrix Intelligent sensors

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A robust RBF neural net Bayesian estimator for channel equalization

A robust RBF neural net Bayesian estimator for channel equal...

引用

International Symposium on Communications Control and signal processing (ISCCSP)

作者： D. Khedim A. Benyettou M. Woolfson SIgnal-IMage-PArole (SIMPA) Laboratory Department of Computer Science University of Science and Technology of Oran Oran Algeria Signal processing laboratory Department E.E. Engineering University of Nottingham Nottingham UK

The characteristic (transfer function) of a dispersive M-ary channel equalizer designed through a Bayesian estimator, a performance indicator that is not trivial to obtain for M>2 due to intersymbol interference (ISI), is investigated. A set of curves is obtained and interpreted. Implementation through a radial basis function neural network is considered. It is shown that because network centers endure updating with different rates, the equalizer characteristic errates off the optimum, causing thus the symbol error rate and/or the training time to increase. A solution, based on incorporating an underlying symmetry in the channel response levels into the updating algorithm, brings the characteristic uniformly closer to the optimal one. It is also provided a strategy endowing the network with self-initializing. Simulation results are presented for a channel with sufficient ISI strength.

关键词： Robustness Neural networks Bayesian methods Equalizers Dispersion Intersymbol interference Additive noise Delay estimation Laboratories Error analysis

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The simple SNR estimation algorithms for MPSK signals

The simple SNR estimation algorithms for MPSK signals

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International Conference on signal processing Proceedings (ICSP)

作者： Hua Xu Hui Zheng National Key Laboratory of Signal Processing IETTC Chengdu Sichuan China University of Electronic Science and Technology Chengdu Sichuan China

The data-aimed signal-to-noise ratio (SNR) estimation algorithm (ADML), decision-directed SNR estimation algorithm (DDML) and a new blind SNR estimation algorithm for MPSK signals over an additive white Gauss noise channel (AWGN) have been presented in this paper by using maximum-likelihood (ML) principle. The ADML has perfect performance and is as good as the performance lower bounds. The performance of DD algorithm depends directly on the accuracy of decision, so it's good for high SNR, but suffers when the SNR is low and especially, less than 0 dB. The new blind SNR estimation algorithm has good performance and low computational complexity for M=2(BPSK), but the performance degrades when M is increasing. The brief performance analysis, computer simulation and performance comparing with other SNR estimation algorithms are also given in this paper.

关键词： signal to noise ratio Additive white noise AWGN Maximum likelihood estimation Additive noise Gaussian channels Gaussian noise Computational complexity Degradation Performance analysis

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TLS-SVD based overlapping delay estimation for DS-CDMA

TLS-SVD based overlapping delay estimation for DS-CDMA

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IEEE Conference on Vehicular technology (VTC)

作者： Li HanQiang DaWei Liu Wei Guo Zheng Hui NCT Key LAB University of Electronic Science and Technology Chengdu China National Key Laboratory of Modern Signal Processing Southwest Institute of Electronics and Telecommunications Technology Chengdu China

ISBN: (纸本)0780385217

This paper aims at resolving overlapped multipaths. A fast high resolution overlapping delay estimation technique is proposed. The method first uses a new correlation-based estimation function to eliminate the effect on estimation error caused by complex amplitude phase, then uses the FFT transform and deconvolution to convert the delay estimation problem to a sinusoid frequency estimation problem. Finally, the Pisarenko's harmonic retrieval (PHR) and TLS-SVD (total least squares singular value decomposition)-based algorithm is adopted to estimate the overlapped delay. The computer simulations show that the proposed method produces rapid, high resolution time delay estimations.

关键词： Delay estimation Multiaccess communication Frequency estimation Amplitude estimation Phase estimation Estimation error Deconvolution Least squares approximation Computer simulation Delay effects

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Rate control for MPEG-4 FGS coded video using piecewise rate distortion model

Rate control for MPEG-4 FGS coded video using piecewise rate...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Li Zhuo Kin-Man Lam Lansun Shen Signal & Information Processing Laboratory Beijing University of Technology Beijing China Department of Electronic and Information Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

ISBN: (纸本)0780386035

Three efficient rate allocation schemes for the MPEG-4 fine granular scalability (FGS) enhancement layer with constant quality are proposed. With the distortion measured using the mean squared error (MSE) or peak signal-to-noise ratio (PSNR) metric, the rate distortion (R-D) curve of the MPEG-4 FGS enhancement layer exhibits piecewise characteristics. For each piecewise region, a first-order or a second-order model is adopted to estimate the actual R-D curve. Based on these piecewise models, three optimal rate allocation schemes are proposed to allocate an appropriate number of bits to the enhancement layer of each frame. Experimental results show that, compared to the average rate allocation method and the exponential model method, our proposed algorithms can achieve a more constant quality in the reconstructed video.

关键词： MPEG 4 Standard Rate-distortion Image reconstruction PSNR Scalability Distortion measurement Video coding signal processing Information processing Laboratories

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Robust M-estimation for multipath CDMA communication systems with phased array receiver

Robust M-estimation for multipath CDMA communication systems...

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IEEE Workshop on signal processing Advances in Wireless Communications (SPAWC)

作者： M.-S. Lee V. Katkovnik K. Kim Y.-H. Kim Department of Mechatronics Gwangju Institute of Science and Technology Gwangju South Korea Signal Processing Laboratory (TICSP) Tampere University of Technology Tampere Finland Department of Information and Communications Gwangju Institute of Science and Technology Gwangju South Korea

The problem of estimating information symbols transmitted through nonGaussian multipath CDMA wireless channels with a phased array is considered. First, we propose a new robust estimator based on the Huber's minimax robust estimation theory. A strong advantage of the proposed robust algorithm is a decreased sensitivity of the estimates with respect to an actually unknown distribution of random noises and interferences. Then, we analyze the estimation accuracy of DOA and information signals by Monte Carlo simulation of this robust algorithm in multipath scenario.

关键词： Phased arrays Multiaccess communication Noise robustness Communication systems Phase estimation Wireless sensor networks Minimax techniques Estimation theory Interference Information analysis

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Sparse factorization preprocessing-based offline analysis for a cursor control experiment

Sparse factorization preprocessing-based offline analysis fo...

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IEEE Biomedical Circuits and Systems (BIOCAS)

作者： Yuanqing Li Andrzej Cichocki Cuntai Guan Jianzhao Qin Laboratory of Advanced Brain Signal Processing RIKEN Brain Science Institute Wako Saitama Japan Institute of Automation Science and Engineering South China University of Technology Guangzhou China Institute for Infocomm Research Singapore

ISBN: (纸本)0780386655

As a communication interface translating brain activities into a control signal for devices like computers, brain-computer interfaces (BCI) have received more and more attentions in recent years due to many potential applications. It is well known that preprocessing (e.g., filtering, etc.) of EEG signals plays an important role in EEG based BCI. In this paper, a sparse factorization approach is presented as a new kind of preprocessing method for BCI. Next, we define power feature vectors related to /spl mu/ and /spl beta/ frequency bands of these components, and use regularized Fisher discriminant method for classification. Our offline analysis based on the data of a cursor control experiment shows that sparse factorization preprocessing can improve considerably accuracy rate in comparison to PCA or ICA preprocessing.

关键词： Electroencephalography Independent component analysis Communication system control Sparse matrices Principal component analysis Data analysis Automatic control signal processing Brain computer interfaces Computer interfaces

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An effective iris recognition system for identification of humans

An effective iris recognition system for identification of h...

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IEEE International Conference on Multi Topic

作者： M.K. Khan J. Zhang S.-J. Horng Research Group for Biometrics (RGB) Key Laboratory Signal and Information Processing Southwest Jiaotong University Chengdu Sichuan China Department of Computer Science & Information Engineering National Taiwan University of Science and Technology Taipei Taiwan

In this paper, identification and verification approach based on human iris pattern is presented. The system is based on several steps from capturing the iris pattern, determining and localizing the iris boundaries, transformation of localized iris into rectangular and polar components, extracting the features from the image, based on wavelet transformation and at the end the matching of the iris. Matching is based on calculating the hamming codes of different irises. The algorithms used in this research are computationally effective, reliable, robust, and meet the industry standards in an efficient and effective manner. The accuracy of the presented work shows that our system is ideal for human recognition at high security places.

关键词： Iris recognition Humans Biometrics Information security Fingerprint recognition Authentication Computer science Read only memory Pins Government

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