Results 231 to 240 of about 98,054 (260)

Tracking Performance of Two Constant Modulus Equalizers

IEEE Communications Letters, 2013
Exploiting the error variance relation, this letter discusses the evaluation of excess mean square error (EMSE) of constant modulus equalizers in a noise-free non-stationary environment. The EMSE analyses are presented for two equalizers - the CMA22 and the βCMA.
Shafayat Abrar, Anum Ali, Azzedine Zerguine, Asoke K. Nandi   +3 more
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A normalized constant-modulus algorithm

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers, 2002
The constant-modulus algorithm (CMA), while the most commonly used blind equalization technique, converges very slowly. We propose a "normalized" constant-modulus algorithm (analogous to the widely used normalized LMS algorithm) with an adjustable step size that greatly increases the convergence rate for noise colorings with large eigenvalue spreads ...
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On the performance of source separation with constant modulus signals

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
Cramer-Rao bounds (CRBs) are developed for narrow band source separation, when the sources are constrained to have constant modulus (CM). The bounds are appropriate for multi path CM sources, in blind, semi-blind, or fully known cases. Source separation bounds are contrasted for calibrated and uncalibrated arrays.
Brian M. Sadler, Richard J. Kozick, Terrence J. Moore   +2 more
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Misadjustment and tracking analysis of the constant modulus array

IEEE Transactions on Signal Processing, 1998
The constant modulus (CM) array is a blind adaptive beamformer that can separate cochannel signals. A follow-on adaptive signal canceler may be used to perform direction finding of the source captured by the array. In this paper, we analyze the convergence and tracking properties of the CM array using a least-mean-square approximation.
Arvind V. Keerthi, Amit Mathur, John J. Shynk   +2 more
openaire   +1 more source

The fractionally spaced vector constant modulus algorithm

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
The vector constant modulus algorithm (VCMA) was previously introduced as an extension of the constant modulus algorithm (CMA) which can equalize data from shaped sources having nearly Gaussian marginal distributions. Some simple changes in the structure of VCMA allow it to be used in fractionally spaced equalizers with their attendant benefits ...
Mark A. Haun, Douglas L. Jones
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Efficient reinitialization of the prewhitened constant modulus algorithm

IEEE Communications Letters, 2001
We present a reinitialization scheme for blind equalizers adapted via the constant modulus algorithm (CMA) when an all-pole prefilter is included to whiten the received signal. The mechanism exploits the special structure of the minimum mean squared error (MMSE) equalizers and their relation with CMA equalizers. A heuristic rule for blind determination
Roberto López-Valcarce, Fernando Pérez-González   +1 more
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Constant Modulus Codebook Design for SCMA System

2018 IEEE International Conference on Communication Systems (ICCS), 2018
Sparse code multiple access (SCMA) which is based on a non-linear spreading has received great attention due to its good overloading capability. The current SCMA codewords are non-constant modulus and thus may lead to more stringent requirements than the constant modulus based ones.
Yujie Zhang, Shuang Zhao, Shengjiang Cui, Zhenyu Zhang 0007, Yuanyuan Dong, Xiyuan Wang, Xiaoming Dai   +6 more
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Incorporation of linear constraints into the constant modulus algorithm

International Conference on Acoustics, Speech, and Signal Processing, 2003
A linearly constrained version of the constant modulus algorithm (CMA) is developed. It is based on the decomposition property of the generalized sidelobe canceller (GSC) filter structure. When they can be specified, linear constraints are an effective means of incorporating a priori information into the constant modulus algorithm. Exploitation of this
Michael J. Rude, Lloyd J. Griffiths
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Coefficient bias in constant modulus adaptive filters

2006 IEEE International Symposium on Circuits and Systems, 2006
The MMSE criterion introduces a bias of the coefficients in adaptive filtering. For constant modulus signals, an estimation of this bias is derived. Constant modulus (CM) criteria lead to different values of this bias. A simple approach is presented to derive estimations for the two criteria of practical interest, namely CM(1,2) and CM(2,2), and it is ...
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Diffusion Constant Modulus Algorithm for Blind Equalization

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2022
Kang Yuan, Junnan Zhuo, Wei Gao 0021, Lingling Zhang 0003, Jing Chen   +4 more
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