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Least variance estimation of motion error for synthetic aperture radar

Least variance estimation of motion error for synthetic aper...

引用

International Conference on Communication Systems

作者： Y.H. Lu T.S. Yeo P.S. Kooi C.B. Zhang L.P. Deng C. Tsao Department of Electrical Engineering Radar and Signal Processing Laboratory Microwave Division National University of Singapore Singapore

The main crux of motion error extraction lies on how to reduce the effects of terrain back scattering on the accuracy of extraction. A new solution which can significantly reduce these effects is presented in this paper. The phase term contained in SAR raw data consists of two parts: the phase caused by the vehicle's motion and the ground reflectivity function respectively. Since the former depends heavily on SAR geometry, the least variance estimation can be used to obtain, with high accuracy, the vehicle's motion error according to the pre-determined geometry relationship. computer simulations show that this method is highly accurate and it decreases significantly the dependence of the accuracy on the terrain mapped.< >

关键词： Estimation error Motion estimation Synthetic aperture radar Data mining Geometry Azimuth Aircraft navigation Radar scattering Vehicles Radar signal processing

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Adaptive time-varying parametric modeling

Adaptive time-varying parametric modeling

引用

International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： A. Akan L.F. Chaparro Real-Time Signal Processing Laboratory Department of Electrical Engineering University of Pittsburgh Pittsburgh PA USA

We propose an adaptive procedure to model non-stationary signals using autoregressive systems with time-varying parameters. A non-stationary signal that is representable by a time-varying autoregressive system has parameters which are expandable in terms of a set of basis functions. The parameters can be found by posing a minimum least-squares modeling problem and solving a large set of normal equations. The costly calculations involved in this problem make an adaptive solution quite desirable. Using the parameter expansions, we convert the modeling into a linear prediction problem and solve it adaptively for a given set of basis functions. We apply our procedure in the modeling of a segment of speech and in the estimation of the evolutionary spectrum of a non-stationary signal.< >

关键词： Parametric statistics Time varying systems Biological system modeling signal processing Least squares methods Polynomials Laboratories Speech processing Radar signal processing Equations

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SAR real time motion compensation: average cancellation method for aircraft

SAR real time motion compensation: average cancellation meth...

引用

International Conference on Communication Systems

作者： C.B. Zhang T.S. Yeo P.S. Kooi Y.H. Lu L.P. Deng C. Tsao Radar and Signal Processing Laboratory Microwave Division Department of Electrical Engineering National University of Singapore Singapore

Effective motion compensation is the key for achieving high quality SAR images. A frequency domain method which is based on an analysis of the azimuth spectrum of SAR raw data to extract aircraft's motion-error, has the advantage of having the ability to operate without accelerometer and INS. However, an antenna with a wide azimuth beam is required. Furthermore,its accuracy depends heavily on the contrast of the ground reflectivity function. A new method based on the time domain approach is presented. Compared with the existing method, the new approach not only has all the mentioned features, but also the advantages of low computation requirement as well as the wide-band motion-error extraction capability. Furthermore, it relaxes some requirements on azimuth antenna beamwidth as well as the ground reflectivity function contrast.< >

关键词： Motion compensation Azimuth Reflectivity Frequency domain analysis Image motion analysis Data mining Aircraft Motion analysis Accelerometers Wideband

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A neural network approach to broadcast scheduling in multi-hop radio networks

A neural network approach to broadcast scheduling in multi-h...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Gangsheng Wang N. Ansari Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology University Heights Newark NJ USA Center for Communications and Signal Processing Research Department of Electrical and Computer Engineering University Heights Newark NJ USA

The problem of scheduling interference-free transmissions with maximum throughput in a multi-hop radio network is NP-complete. The computational complexity becomes intractable as the network size increases. In this paper, the scheduling is formulated as a combinatorial optimization problem. An efficient neural network approach, namely, mean field annealing, is applied to obtain optimal transmission schedules. Numerical examples show that this method is capable of finding an interference-free schedule with (almost) optimal throughput.< >

关键词： Neural networks Radio broadcasting Intelligent networks Spread spectrum communication Radio networks Optimal scheduling Interference Radio network Processor scheduling Throughput

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Computing depth from out-of-focus blur using a local frequency representation

Computing depth from out-of-focus blur using a local frequen...

引用

International Conference on Pattern Recognition

作者： M. Gokstorp Image Processing Laboratory Computer Engineering Division Department of Electrical Engineering Linkoping University Sweden

We present a method to compute depth from the amount of defocus in two images obtained from the same view-point but with different camera parameter settings. The change in defocus (blur) between the two images is proportional to the depth in the scene. We introduce a novel method to estimate the blur using a multiresolution local frequency representation of the input image pair. A confidence measure is used to discriminate between high error and low error blur estimates. Quantitative experimental results are shown for both real and synthetic images.

关键词： Layout Cameras Frequency estimation Robustness Lenses Focusing Optical imaging Geometry Image processing Laboratories

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Performance of a frequency hop spread spectrum multiple access radio network in a factory environment

Performance of a frequency hop spread spectrum multiple acce...

引用

IEEE Southeastcon

作者： A. Orichi D.B. Koch Communications Information and Signal Processing Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

Wireless indoor networks which can provide terminal portability to any node in the network, promise to reduce significantly the expense and troubles of wiring and rewiring associated with wired networks. Since wireless systems operate on bandlimited channels and have to adjust to the constant fluctuations of the indoor environment (i.e., multipath and intermittent fading), any viable wireless technology should be able to accommodate those constraints. A very attractive wireless technology for indoor networks is spread spectrum because of its ability to mitigate multipath fading and incorporate multiple access for bandwidth efficient sharing. A simulated model for a noncoherent FH/BFSK spread spectrum multiple access indoor network in a factory environment is developed. The system is evaluated based on the bit error rate (BER) performance for various chip rates, data rates, and number of hopping frequencies for a given signal to noise plus interference density ratio and the results are compared to theoretical upper and lower bounds.< >

关键词： Frequency Spread spectrum communication Fading Bit error rate Wiring Fluctuations Indoor environments Bandwidth Production facilities Working environment noise

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Fast design of Gabor filters [medical image processing application]

Fast design of Gabor filters [medical image processing appli...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Youhong Lu J.M. Morris Communication & Signal Processing Laboratory Electrical Engineering Department University of Maryland Baltimore County Catonsville MD USA

The Gabor expansion and its associated Gabor filter design are important in image processing and image coding. An important application recently is in medical image analysis combined with neural network techniques. Hence, seeking fast algorithms for the design of Gabor filters is particularly useful in these applications. Here, the authors present existence conditions for Gabor filters, and a fast algorithm to compute a pair of analysis and synthesis Gabor filters based on this condition and the Gram determinant. One of the main contributions of this work is that a pair of analysis and synthesis Gabor filters generate a frame and dual frame pair that do not require the computation of frame bounds.

关键词： Gabor filters signal processing algorithms Algorithm design and analysis Time frequency analysis Laboratories signal analysis signal synthesis Network synthesis Image processing Image coding

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On perfect cosine-modulated filter banks

On perfect cosine-modulated filter banks

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Asilomar Conference on signals, Systems & computers

作者： Youhong Lu J.M. Morris Communication & Signal Processing Laboratory Electrical Engineering Department University of Maryland Baltimore County Catonsville MD USA

We present a design technique for perfect-reconstruction cosine-modulated filter banks. The design of analysis and synthesis filter banks in this case is much more efficient in terms of computation compared with previous work. In particular, a design technique for perfect-reconstruction of FIR analysis and synthesis filter banks with arbitrary length is presented. The existence of synthesis/analysis filter banks for given analysis/synthesis filter banks are addressed via frame theory and (a time domain design technique) biorthogonal-like functions (BLFs), which have advantages over traditional short-time Fourier transform (STFT) and filter bank summations (FBS). A set of Gaussian analysis or synthesis filter banks is possible in our filter bank system.< >

关键词： Channel bank filters Filter bank Band pass filters signal synthesis Finite impulse response filter signal analysis Information analysis Performance analysis System analysis and design Convergence

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On collections of joint time-frequency functions generated by biorthogonal-like functions

On collections of joint time-frequency functions generated b...

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： Youhong Lu J.M. Morris Communications and Signal Processing Laboratory Electrical Engineering Department University of Maryland Baltimore County Catonsville MD USA

We generalize the Gabor (1946) expansion via a biorthogonal-like function theory. We show that a pair of biorthogonal-like functions (BLFs) form a pair of analysis and synthesis functions for the Gabor expansion. Moreover, the pair of collections used in the Gabor expansion must be generated by a pair of BLFs; BLF theory, therefore, covers frame theory and basis theory for the Gabor expansion. Two efficient computation methods for BLFs and examples are presented. It is shown that the signal representation in the joint time-frequency domain is completely determined by the existence of BLFs and solutions to the biorthogonal-like condition.< >

关键词： Time frequency analysis Hilbert space signal generators Biomedical signal processing Laboratories signal synthesis Sampling methods

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Time-frequency representations using a radial Butterworth kernel

Time-frequency representations using a radial Butterworth ke...

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： Dongsheng Wu J.M. Morris Communications and Signal Processing Laboratory Electrical Engineering Department University of Maryland Baltimore County Catonsville MD USA

A new radial Butterworth kernel (RBK) with two adjustable parameters for the Cohen's (1966) class of distributions (CCD) is presented in the ambiguity function domain. It is particularly suitable for signals with a high degree of of nonstationarity and, by adjusting these parameters, the resulting time-frequency distribution can effectively suppress the crossterms while retaining the autoterms. Numerical experiments using the RBK are compared with other famous distributions. Finally, the RBK is generalized such that a wide variety of shapes can be obtained in the ambiguity function domain.< >

关键词： Time frequency analysis Kernel signal analysis Shape Biomedical signal processing Laboratories Charge coupled devices Speech Multiple signal classification Music

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