Fiber dispersion is a severe constraint to be addressed in high speed optical communication, as it restricts the transmission capacity and reach of fiber optics link. This work presents an effective dispersion compens...
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Fiber dispersion is a severe constraint to be addressed in high speed optical communication, as it restricts the transmission capacity and reach of fiber optics link. This work presents an effective dispersion compensation technique in the optical domain with minimal hardware complexity. Here, we integrated a single linearly chirped fiber Bragg grating (CFBG) with tanh apodization for Chromatic Dispersion (CD) compensation and a second-order optical FIR filter for Polarization Mode Dispersion (PMD) compensation. Adaptive PMD compensation is obtained by updating the filter parameters using Least Mean Square (lms) error algorithm, which enables the system to adjust and mitigate PMD effects dynamically, enhancing overall efficiency. The performance of the proposed system with different modulation schemes such as NRZ, RZ, and duo-binary schemes are experimented. A WDM link of 16 channels over 100 km is designed with the proposed model, with each channel transmitting data at 40 Gbps. Simulation results reveal that the presented model performed well with reduced hardware complexity, keeping BER value below 10-9\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$10<^>{-9}$$\end{document} and Q-Factor above 6.
The problem of accelerating echo canceller tracking, during full duplex transmission, in single carrier (data) receivers with adaptive equalization is addressed. The scheme presented accelerates the convergence rate b...
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The problem of accelerating echo canceller tracking, during full duplex transmission, in single carrier (data) receivers with adaptive equalization is addressed. The scheme presented accelerates the convergence rate by orders of magnitude, with a minor increase in complexity, which can be traded for speed. The complexity may be reduced to a fraction of that of previously published acceleration schemes, while providing substantial speedup factors with respect to conventional echo cancellers. The new scheme is based on measuring the residual echo signal at the slicer (symbol-by-symbol detector) but applying the correction to the conventional echo canceller. Measuring changes in a low-noise (post-slicer) environment enables speedup of the adaptation. Updating the pre-equalizer echo canceller both reduces complexity and distills the echo from the noisy equalizer input.
Novel deterministic digital calibration of pipelined ADC has been proposed and analyzed theoretically. Each MDAC is dithered exploiting its inherent redundancy during the calibration. The dither enables fast accurate ...
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Novel deterministic digital calibration of pipelined ADC has been proposed and analyzed theoretically. Each MDAC is dithered exploiting its inherent redundancy during the calibration. The dither enables fast accurate convergence of calibration without requiring any accurate reference signal and hence with minimum area and power overhead. The proposed calibration can be applied to both the 1.5-bit/stage MDAC and the multi-bit/stage MDAC. Due to its simple structure and algorithm, it can be modified to the background calibration easily. The effectiveness of the proposed calibration has been confirmed by both the extensive simulations and the measurement of the prototype 0.13-mu m-CMOS 50-MS/s pipelined ADC using the op-amps with only 37-dB gain. As expected, SNDR and SFDR have improved from 35.5 dB to 58.1 dB and from 37.4 dB to 70.4 dB, respectively by the proposed calibration.
Since kinematic and dynamic coupling phenomena occur in a parallel manipulator, the outputs of the system corresponding to a sinusoidal pose contains coupling poses besides the fundamental input, causing coupling pose...
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Since kinematic and dynamic coupling phenomena occur in a parallel manipulator, the outputs of the system corresponding to a sinusoidal pose contains coupling poses besides the fundamental input, causing coupling pose outputs. The method for pose output decoupling based on adaptive noise cancellation, a method for noise control and vibration control, is proposed here. The task is accomplished by generating a reference signal with the same frequency of the input pose. The reference input is weighted by the least mean square (lms) algorithm in such a way that it closely matches the coupling pose output. The weighted reference signal is added to the fundamental signal such that the coupling pose output is cancelled leaving the desired pose alone. The weights of the lms algorithm are adjusted by the coupling pose output, which is to be cancelled. The system is based on linkspace control, and its pose output is calculated in real-time from the actuator lengths by forward kinematics. The above concept is used as a basis for the development of an adaptive pose output decoupling algorithm. Experimental results performed with a hydraulically driven six degrees-of-freedom parallel manipulator demonstrate the efficiency and validity of the proposed control scheme.
OBJECTIVE: In this paper, an adaptive method based on error entropy criterion is presented in order to eliminate noise from Electroencephalogram (EEG) signals. METHOD: Conventionally, the Mean-Squared Error (MSE) crit...
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OBJECTIVE: In this paper, an adaptive method based on error entropy criterion is presented in order to eliminate noise from Electroencephalogram (EEG) signals. METHOD: Conventionally, the Mean-Squared Error (MSE) criterion is the dominant criterion deployed in the adaptive filters for this purpose. By deploying MSE, only second-order moment of the error distribution is optimized, which is not adequate for the noisy EEG signal in which the contaminating noises are typically non-Gaussian. By minimizing error entropy, all moments of the error distribution are minimized;hence, using the Minimum Error Entropy (MEE) algorithm instead of MSE-based adaptive algorithms will improve the performance of noise elimination. RESULTS: Simulation results indicate that the proposed method has a better performance compared to conventional MSE-based algorithm in terms of signal to noise ratio and steady state error.
In this paper, we proposed a new mixed variable step size Elms algorithm (MVSS-Elms) which combined the mean square error and the correlation of the error to modify the step size. The approach is general in the sense ...
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In this paper, we proposed a new mixed variable step size Elms algorithm (MVSS-Elms) which combined the mean square error and the correlation of the error to modify the step size. The approach is general in the sense that it not only retains the benefits of Elms algorithm lower steady-state error, but also improves the system convergence speed. In comparison, the new approach performance is much better than VSS-Elms algorithm and VFSS-Elms algorithm in the convergence speed and anti-noise capacity. Effectiveness of the proposed algorithm is demonstrated through computer simulations.
An automatic ac bridge method employing the principle of balancing by means of a stochastic gradient search algorithm is presented. Among the various gradient search techniques, the Widrow-Hoff least mean square (lms)...
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An automatic ac bridge method employing the principle of balancing by means of a stochastic gradient search algorithm is presented. Among the various gradient search techniques, the Widrow-Hoff least mean square (lms) technique has been chosen as it involves a low computational burden. The lms algorithm has been used by the authors for the operation of an ac bridge operating with continuous variables. The relevant operation has been verified by simulation;it can also measure negative impedance. A relation has been established between parameters to be used in the lms algorithm for discrete and continuous versions of the bridge. The balance convergence time for a relatively simple form of the lms bridge, namely, the R-R type bridge, has been theoretically established and experimentally verified both by simulation and real-time implementation. The frequency response of the lms algorithm has also been determined.
A fourth-order Butterworth band-pass filter whose Q value is greater than 10 implemented in nanoscale CMOS process, is presented. The center frequency can be switched by an external switch. The filter integrates a Q-t...
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A fourth-order Butterworth band-pass filter whose Q value is greater than 10 implemented in nanoscale CMOS process, is presented. The center frequency can be switched by an external switch. The filter integrates a Q-tuning scheme and a frequency tuning scheme. The Q-tuning scheme has a high accuracy based on the lms algorithm. The basic block OTA in the filter takes advantage of the dynamic source degeneration technique, which could improve the input linearity range. The pass bandwidth is 260 kHz, the adjacent channel rejection is greater than 30 dB, and the max power consumption is only 7.9 mW.
It is proposed a digital signal processing (DSP) controller used in the control system of six degree-of-freedom (DOF) giant magnetostrictive smart structure (GMSS). Also are presented the controller design and i...
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It is proposed a digital signal processing (DSP) controller used in the control system of six degree-of-freedom (DOF) giant magnetostrictive smart structure (GMSS). Also are presented the controller design and its implementation, the embedded adaptive least mean-square (lms) control algorithm and the real-time experiments of GMSS. Three programs are embedded in this controller. Of them are the adaptive lms control algorithm and the other two which are used to search for the optimal values for the initial weight vectors. Moreover, the work flow and the control approach of the GMSS with the DSP controller are introduced. The experimental results indicate that the DSP controller has better control precision and real-time property, and the damping effect is up to 20 dB-30 dB.
A blind adaptive channel mismatch equalisation method for global navigation satellite system (GNSS) antenna arrays is proposed. The anti-jamming performance of the antenna arrays is limited by the channel mismatch tha...
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A blind adaptive channel mismatch equalisation method for global navigation satellite system (GNSS) antenna arrays is proposed. The anti-jamming performance of the antenna arrays is limited by the channel mismatch that is a relative characteristic of each radio frequency channel but not an absolute non-ideal characteristic. To pre-process the received data in the frequency domain, the least mean square (lms) algorithm is used. The reference signal in lms is the received data in the reference element. The purpose of pre-processing is to make the received data in the other elements approach the reference signal, which, in essence, is to equalise the mismatched channel. Without any auxiliary sensors and calibration source, this method can estimate the channel characteristics relative to the reference elements. Simulations and experimental results show that the proposed method is significant in improving the anti-jamming performance.
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