Results 221 to 230 of about 98,054 (260)
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Geometrical characterizations of constant modulus receivers
IEEE Transactions on Signal Processing, 1999Convergence properties of the constant modulus (CM) and the Shalvi-Weinstein (SW) algorithms in the presence of noise remain largely unknown. A new geometrical approach to the analysis of constant modulus and Shalvi-Weinstein receivers is proposed by considering a special constrained optimization involving norms of the combined channel-receiver ...
Ming Gu 0013, Lang Tong 0001
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Tracking analysis of the constant modulus algorithm
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Recently, we proposed a model for the steady-state estimation error of real-valued constant-modulus-based algorithms as a function of the a priori error and of a term that measures the variability in the modulus of the transmitted signal. In this paper, we extend this model to complex-valued data and use it in conjunction with the feedback analysis ...
Magno T. M. Silva, Vítor H. Nascimento
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On the Misbehavior of Constant Modulus Equalizers for Improper Modulations
IEEE Signal Processing Letters, 2007In this letter, the constant-modulus (CM) cost function is analyzed under the general assumptions that improper modulation schemes of practical interest are employed and the baseband equivalent of the channel impulse response is complex-valued. This study allows one to determine a broad family of undesired minima of the CM cost function, which do not ...
CACCIAPUOTI, ANGELA SARA +1 more
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A finite-interval constant modulus algorithm
IEEE International Conference on Acoustics Speech and Signal Processing, 2002A finite-interval constant modulus algorithm is developed which is vastly simpler than the Analytic Constant Modulus Algorithm and, unlike that algorithm, can claim to minimize a constant modulus criterion. It requires one QR decomposition of a data matrix, followed by a power iteration.
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2010 2nd International Conference on Signal Processing Systems, 2010
The hybrid implementation of the multistage constant modulus CM array is designed for separating correlated signals. The canceller weights in the cascade structure provide estimates of the direction vectors of the captured signals. These estimates are then used in a parallel implementation of the linearly constraint CM (LCCM) array leading to the ...
Heba Y. M. Soliman +3 more
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The hybrid implementation of the multistage constant modulus CM array is designed for separating correlated signals. The canceller weights in the cascade structure provide estimates of the direction vectors of the captured signals. These estimates are then used in a parallel implementation of the linearly constraint CM (LCCM) array leading to the ...
Heba Y. M. Soliman +3 more
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On the finite sample behavior of the constant modulus cost
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002We study the location of local minima of the finite sample approximation to the constant modulus cost function. This paper concentrates on source separation. The main result is a connection between the number of samples and the probability of obtaining a local minimum of the finite approximation within a given sphere around the local minimum of the CM ...
Amir Leshem, Alle-Jan van der Veen
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Analysis of the prewhitened constant modulus cost function
IEEE International Conference on Acoustics Speech and Signal Processing, 2002We provide an analysis of the constant modulus (CM) cost function under the assumption of a white equalizer input. This can be achieved by means of an adaptive prewhitening all-pole filter and has been suggested in previous works as a means for both MSE improvement and DFE cold start-up.
Roberto López-Valcarce +1 more
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Performance Bounds on the Constant Modulus Error Surface
2006 IEEE International Symposium on Circuits and Systems, 2006The constant modulus (CM) error surface is multimodal in nature. This leads to possibility of convergence to undesired local minima. Recently, we characterized the various stationary points associated with the CM error surface. In this paper we make use of the stationary points to develop upper and lower bounds on the weight vector, ordering the minima
Tokunbo Ogunfunmi, Hamadi Jamali
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Online adaptive reinitialization of the constant modulus algorithm
IEEE Transactions on Communications, 2000An adaptive reinitialization algorithm for the constant modulus algorithm is proposed that relies on the similarities between the constant modulus and the Wiener equalizer and expands the capabilities of a previous algorithm. The proposed algorithm determines adaptively if the CMA will benefit through reinitialization, and if so, it will calculate new ...
Scott Evans, Lang Tong 0001
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Minimax Design Of Constant Modulus Mimo Waveforms
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018Waveform optimization is a crucial step in the design of a multiple-input multiple-output (MIMO) system. This paper considers the joint optimization of constant modulus waveforms and mismatched (or matched) receive filters to suppress the auto- and cross-correlations using the minimax $(\ell_{\infty})$ design criterion.
Zhen Lin, Wenqiang Pu, Zhi-Quan Luo
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