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A novel I/Q mismatch compensation scheme for a low-IF receiver front-end

A novel I/Q mismatch compensation scheme for a low-IF receiv...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： J. Chabloz C. Enz Swiss Center for Electronics and Microtechnology Neuchatel Switzerland

Any quadrature IF front-end inherently suffers from mismatch between its I and Q paths. This results in an image rejection degradation, thus decreasing the dynamic range. In this paper, a novel mismatch compensation scheme for a low-IF receiver, but also suitable to many other quadrature front-ends, is proposed. With this approach, gain and phase imbalance corrections result independently from simply two gain adjustments. This allows an analog realization, therefore avoiding costly DSP implementation. In order to compute the wanted compensation gains, an LMS-type adaptive algorithm is also proposed. Its robustness and stability are investigated by extensive simulations.

关键词： Frequency Filters Degradation Robust stability Computer architecture Dynamic range Digital signal processing adaptive algorithm Computational modeling Local oscillators

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Detection Of QRS-Wave In Electrocardiogram: Based On Kalman And Wavelets

Detection Of QRS-Wave In Electrocardiogram: Based On Kalman ...

引用

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

作者： Yu chen Zhuangzhi Yan Weixin He School of Comm and Inform Engineering Shanghai University Shanghai China School of Elec and Inform Engineering Jiangsu University Jiangsu China

An algorithm using wavelets and Kalman filtering method has been developed for QRS detection. The algorithm takes following steps: i) We use a RLS adaptive algorithm to establish a model of the electrocardiogram. Thus the algorithm can change its own model according to the change of the electrocardiogram, ii) Based on the model established in stage i), we combined the wavelet and Kalman algorithm, decomposed the signal to several scales, filtering the signal in each scale. And then, iii) A decision rule is used to determine the QRS complex. The method was tested on ECG data form the MIT database, and experimental results show that the method is effective, and the influence of the noise can be eliminated

关键词： Kalman filters Electrocardiography Change detection algorithms Filtering algorithms Resonance light scattering Wavelet transforms adaptive algorithm Working environment noise Cardiac disease Time series analysis

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adaptive Robust Regulation for Plants with Coprime Factor Perturbation in the Presence of Unknown Disturbances

Adaptive Robust Regulation for Plants with Coprime Factor Pe...

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Shengping Li Department of Mechatronics Engineering Shantou University Shantou China

This paper investigates an adaptive robust regulation problem when a discrete-time plant is subjected to both coprime factor perturbation and unknown external disturbances. Firstly, we present a design method of optimal robust regulation controller for plant with coprime factor perturbation and unknown external disturbances. Then, based on the idea of set-membership identification, we propose a recursive estimation for extended parameters in which includes the parameters of nominal model and the bound of unmodelled dynamics and disturbances. Finally, we propose a novel adaptive robust tracking scheme, a tight bound for robust performance and prove the overall convergence of the adaptive algorithm. The adaptive scheme proposed in this paper has good robust stability and asymptotically optimal robust performance

关键词： Robustness Robust control Robust stability TV Mechatronics Design methodology Optimal control Recursive estimation adaptive algorithm adaptive control

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Lower Bounds for the MSE Convergence of APA

Lower Bounds for the MSE Convergence of APA

引用

Proceedings of 2006 IEEE International Symposium on Circuits and Systems,Volume 7

作者： Ifiok J. Umoh Tokunbo Ogunfunmi Department of Electrical Engineering Santa Clara University Santa Clara USA

It is well known that the Least Mean Square (LMS) algorithm convergence speed degrades considerably when the input signal is correlated. On the other hand, the Affine Projection algorithm (APA) was recently developed and has faster convergence for correlated inputs compared to LMS. Convergence Analysis done on APA to date has been based on either a modification of the independence assumption, a special regression model, or a Gaussian regression data model, In this paper, an analysis of the standard APA algorithm under the assumption of a finite strong memory and finite moments for the regression data is done. We prove that under steady state conditions, the weight error covariance is lower bounded and dependent on the step size and not the correlation of the input regression matrix.

关键词： Convergence Least squares approximation Steady-state algorithm design and analysis Projection algorithms Equations Covariance matrix adaptive algorithm Mean square error methods Transient analysis

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Space-time coded CDMA: blind equalization and multiuser detection

Space-time coded CDMA: blind equalization and multiuser dete...

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Asilomar Conference on Signals, Systems & Computers

作者： X. Yue W. Zhu H. Fan Department of Mathematics and Computer Science Central Missouri State University Warrensburg MO USA Department of ECECS University of Cincinnati Cincinnati OH USA

The blind multiuser detection problem for asynchronous direct sequence code division multiple access (DS-CDMA) systems operating in a multipath environment using multiple transmit and receive antennas is considered. The Alamouti space-time block code (STBC) for two-transmit-antenna configuration is adopted. Using only the spreading code of the desired user, a blind minimum mean square error (MMSE) detector is obtained without explicit channel estimation. Corresponding batch and adaptive algorithms are developed. Simulations verify the effectiveness of the proposed method.

关键词： Multiaccess communication Blind equalizers Multiuser detection Direct-sequence code-division multiple access Receiving antennas Block codes Mean square error methods Detectors Channel estimation adaptive algorithm

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adaptive interference suppression for direct sequence CDMA over severely time-varying channels

Adaptive interference suppression for direct sequence CDMA o...

引用

IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： L.J. Zhu U. Madhow Coordinated Science Laboratory University of Illinois Urbana IL USA

Recent work has shown that minimum mean squared error (MMSE) based adaptive interference suppression schemes have the potential of providing large performance and capacity gains over conventional reception for direct sequence (DS) CDMA systems. However, the applicability of such schemes to future cellular and PCS systems will depend on their ability to cope with the severe time variations characteristic of a wireless channel. We address this issue in the context of Rayleigh faded DS-CDMA signals. Our main results are as follows. (a) Standard decision directed (DD) MMSE adaptation following some initial training is unable to track a typical fading channel. (b) A modified DD (MDD) MMSE adaptation that exploits differential encoding and decoding to simplify the task of tracking is robust against fading and the near-far problem. (c) MDD-MMSE adaptation survives the arrival of new interfering transmissions even in the presence of a severe near-far problem. (d) The performance of the MDD-MMSE algorithm shows some deterioration when there are several rapidly fading independent multipath components, so that further investigation is needed for devising adaptive algorithms for this setting.

关键词： Interference suppression Time-varying channels Fading Multiaccess communication Robustness AWGN Performance gain Baseband Decoding adaptive algorithm

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Direct data domain STAP algorithm for airborne radar applications

Direct data domain STAP algorithm for airborne radar applica...

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IEEE International Conference on Radar

作者： Dong Ruijun Bao Zheng Key Laboratory for Radar Signal Processing Xidian University Xi'an China

ISBN: (纸本)0780370007

STAP has been widely studied for airborne radar as an approach to adaptively detect small target competing with ground clutter. Non-homogeneous interference is currently an important aspect of STAP. The discrete non-homogenates due to strong interference or target separating from the clutter ridge accounts for much of the degradation in urban and spiky clutter scenarios. The use of adaptive weights with the hybrid algorithm is widely applicable to discrete non-homogeneity problems, which is a hybridization of a two-dimensional non-statistical method with statistically based methods. This paper presents a new direct data domain processor with a prefilter attenuating clutter to strengthen suppression for discrete non-homogeneous interference. The desirable performance of STAP to discrete non-homogeneous interference is observed.

关键词： Airborne radar Clutter Interference suppression Sensor arrays Covariance matrix Signal processing algorithms Radar detection adaptive algorithm Counting circuits Radar signal processing

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adaptive Neural Network Control of a Helicopter in Vertical Flight

Adaptive Neural Network Control of a Helicopter in Vertical ...

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IEEE Regional Conference on Aerospace Control Systems

作者： T.J. Pallett S. Ahmad Real-Time Robot Control Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

In this paper we address the application of adaptive neural networks in the flight control of a miniature helicopter during hover. Neural networks have received a great deal of attention lately, especially in the areas of pattern recognition and control of unknown systems. In this paper we will discuss how to setup and update a two-layer neural network. We will also present an on-line control system which can be implemented using neural networks. Finally, we will show how neural networks can be used to improve the controlled response of a miniature helicopter in vertical flight by learning and adapting to changes in the plant on-line. Experimental helicopter flight control results are also given in this paper.

关键词： adaptive systems Programmable control adaptive control Neural networks Helicopters Intelligent networks Aerospace control adaptive algorithm Control systems Robot control

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Convergence analysis of an adaptive filtering structure using a new adaptation scheme

Convergence analysis of an adaptive filtering structure usin...

引用

IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： E.V. Papoulis T. Stathaki CSP Group Department of Electrical and Electronic Engineering Imperial College London London UK

The convergence analysis of a maximally decimated (MD) adaptive filtering structure (AFS) employing a new adaptation scheme is presented. The structure was based on uniform perfect reconstruction (PR) filter banks (FB), their dual transmultiplexers (TMUX) and a model for the system under identification of interpolated FIR (IFIR) filters connected in parallel. A new algorithm was used for the adaptation of the subband filter coefficients employing a new power normalisation (PN) scheme introduced in Papoulis et al. (2002). This structure is briefly described here, the adaptive algorithm is presented and an extensive convergence analysis is then given. Reference then is made to the relevant work reported in Petraglia et al. (2000), namely to a structure that can be considered as the dual of the one presented here and employed an adaptive algorithm that is a simplified version of the one we proposed. The convergence analysis is then specialised for the adaptive scheme used in Petraglia. The rest of the paper is an extensive performance comparison of both structures and of the two adaptation schemes, through both theoretical and experimental results. These demonstrate the improvement in the performance our approach offers; highlight aspects of the theoretical analysis and further enlighten on the similarities and differences of the two approaches. A performance comparison with the full-band NLMS algorithm is given.

关键词： Convergence adaptive filters Signal analysis adaptive algorithm algorithm design and analysis Performance analysis Filter bank Finite impulse response filter Computational complexity Educational institutions

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Stability of the Kalman filter with stochastic time-varying parameters

Stability of the Kalman filter with stochastic time-varying ...

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IEEE Conference on Decision and Control

作者： V. Solo Macquarie University Sydney NSW Australia

We analyse the stability of the Kalman filter with time varying stochastic system parameters-a problem which has been open for a long time. A natural form of stochastic stability is established under conditions that are analogues of well known deterministic criteria. Our results are applied to obtain new and weaker conditions for stability of some adaptive algorithms.

关键词： Stochastic processes Stability analysis Stochastic systems Time varying systems adaptive algorithm Steady-state State estimation Australia Stability criteria Time measurement

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