Decision feedback equalisers offer a good compromise between complexity and performance for channels with strong intersymbol interference. However, their blind or decision-directed adaptation may converge to degenerat...
详细信息
Decision feedback equalisers offer a good compromise between complexity and performance for channels with strong intersymbol interference. However, their blind or decision-directed adaptation may converge to degenerative solutions for which signal at the equaliser's output is independent of its input. The known algorithms proposed to solve this problem, are evaluated in this paper. It is shown that their main defect is a lack of well-defined criteria allowing the detection of degenerative solutions, so this paper introduces a criterion proved to be sufficient for reliable detection of such solutions. Using the new criterion, an algorithm of blind decision feedback equalisation, based on constrained optimisation, is proposed. The new algorithm does not admit degenerative solutions therefore should be preferred among the analysed algorithms. Also, the problem of false phase lock, characteristic of some modulations, is addressed and a solution to it is proposed. The results of the study are presented using the experimental data and simulation. (C) 2002 Elsevier Science B.V. All rights reserved.
In this letter, a constant-modulus-algorithm-based multiuser detection scheme is proposed for a communication system under multipath propagation. To mitigate channel distortion and multiuser interference, we integrate...
详细信息
In this letter, a constant-modulus-algorithm-based multiuser detection scheme is proposed for a communication system under multipath propagation. To mitigate channel distortion and multiuser interference, we integrate multiple constraints into the optimization criterion. According to our analysis, the ability of the detector to remove all interference is ensured in the absence of noise when the constraints are properly preselected. However, in the presence of noise, the constraints highly affect the performance of the receiver. In order to optimally combine signals from different paths to achieve performance gains, those constraints can also be treated as variables and jointly optimized with the receiver, as verified by numerical examples.
The channel estimation of space-time (ST) block coding transmission using the constant modulus algorithm (CMA) is investigated. The ST block coding transmission is represented by an orthogonal vector-channel model. Ba...
详细信息
ISBN:
(纸本)0780374673
The channel estimation of space-time (ST) block coding transmission using the constant modulus algorithm (CMA) is investigated. The ST block coding transmission is represented by an orthogonal vector-channel model. Based on this orthogonal model, a general expression of linear decoding decision rules for ST block codes and the sufficient and necessary conditions for convergence of the CMA are derived. It is shown that the CMA directly converges to a vector-channel under the orthogonal condition. A channel estimation method using the convergence value of the CMA is proposed for ST block coding transmission systems and is suitable for 1-D signaling or 2-D signaling using a square constellation. Illustrative results show that the proposed scheme provides a better accuracy than the cross-correlated method.
In multi-vehicles environment, TT&C systems is realized through unified spread spectrum framework. Adaptive antenna digital beamforming technologies are used to track, measure and command objects. constantmodulus...
详细信息
ISBN:
(纸本)0780374886
In multi-vehicles environment, TT&C systems is realized through unified spread spectrum framework. Adaptive antenna digital beamforming technologies are used to track, measure and command objects. constantmodulus array (CMA) and adaptive signal canceller estimate the direction of arrival (DOA) of every signal and use the optimum weighted vector to form the beams. The phase-weighted vectors estimated from DOA improve the processing gain as well as being utilized in the transmitting of tele-command signal to form the beam of specified object. Its processing performance is researched and simulated in this paper.
We analyze a blind channel impulse response identification scheme based on the cross correlation of blind symbol estimates with the received signal, The symbol estimates specified are those minimizing the Godard (or c...
详细信息
We analyze a blind channel impulse response identification scheme based on the cross correlation of blind symbol estimates with the received signal, The symbol estimates specified are those minimizing the Godard (or constantmodulus) criterion, for which mean-squared symbol estimation error bounds have recently been derived. In this paper, we derive upper bounds for the average squared parameter estimation error (ASPE) of the blind identification scheme that depend on the mean-squared error of the Wiener equalizer, the kurtoses of the desired and interfering sources, and the channel impulse response. The effects of finite data length and stochastic gradient equalizer design on ASPE are also investigated. All results are derived in a general multiuser vector-channel context.
In fast-fading channels, the constant modulus algorithm (CMA) is unable to properly track the rime-variations because the magnitude of the received signal changes too rapidly. The Kalman filter (KF), however, works we...
详细信息
In fast-fading channels, the constant modulus algorithm (CMA) is unable to properly track the rime-variations because the magnitude of the received signal changes too rapidly. The Kalman filter (KF), however, works well in time-varying channels but needs a training sequence to operate. Therefore, a combined CMA and KF algorithm is proposed in order to utilise the advantages of both algorithms. The associated step sizes of the CMA and the KF algorithm are also varied in accordance with the magnitude of the output. Simulations are presented to demonstrate the potential of the combination.
The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three, This means that so...
详细信息
The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three, This means that source shaping (which is used to increase the shaping gain) can produce data unequalizable by CMA and other important blind equalization techniques. This paper proposes a simple extension of CMA that blindly equalizes many types of shaped constellations, including those shaped by shell mapping.
The constantmodulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian i.i.d. processes transmitted through unknown linear channels in the presence of unknown additive interfer...
详细信息
The constantmodulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian i.i.d. processes transmitted through unknown linear channels in the presence of unknown additive interference, The existence of multiple CM minima, however, makes it difficult for CM-minimizing schemes to generate estimates of the desired source (as opposed to an interferer) in multiuser environments, In this paper, we present three separate sufficient conditions under which gradient descent (GD) minimization of CIM cost will locally converge to an estimator of the desired source at a particular delay. The sufficient conditions are expressed in terms of statistical properties of the initial estimates, specifically, CM cost, kurtosis, and signal-to-interference-plus-noise ratio (SINR). Implications on CM-GD initialization methods are also discussed.
The constantmodulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian independent and identically distributed (i.i.d.) processes transmitted through unknown linear channels in...
详细信息
The constantmodulus (CM) criterion has become popular in the design of blind linear estimators of sub-Gaussian independent and identically distributed (i.i.d.) processes transmitted through unknown linear channels in the presence of unknown additive interference. In this paper, me present an upper bound for the conditionally unbiased mean-squared error (USME) of CM-minimizing estimators that depends only on the source kurtoses and the UMSE of Wiener estimators. Further analysis reveals that the extra UMSE of CM estimators can be upper-bounded by approximately the square of the Wiener (i.e., minimum) UMSE. Since our results hold for vector-valued finite-impulse response/infinite-impulse response (FIR/IIR) linear channels, vector-valued FIR/IIR estimators with a possibly constrained number of adjustable parameters, and multiple interferers with arbitrary distribution, they confirm the longstanding conjecture regarding the general mean-square error (MSE) robustness of CM estimators.
This paper studies the behavior of the error sequence of stop-and-go variants of two adaptive blind equalizers, namely CMA2-2 and Sate's algorithm. It is shown that for transmitted signals with constantmodulus ga...
详细信息
This paper studies the behavior of the error sequence of stop-and-go variants of two adaptive blind equalizers, namely CMA2-2 and Sate's algorithm. It is shown that for transmitted signals with constantmodulus gamma, the equalizer output can be made to lie within the circle of radius gamma root c infinitely often, for some value of c that is only slightly larger than one.
暂无评论