Anchored blind equalization using the constant modulus algorithm

Kamel, R.E.; Bar-Ness, Y.

doi:10.1109/82.580849

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…The problem with this algorithm is that convergence of the weight coefficients to the optimal solution is not guaranteed [15]. Applying CMA to constrained equalizers [16] was proposed as a solution to the problem. However, this solution does not work well when the direct wave gain of the AR communications channel is small.…”

Section: Suppression Of Intersymbol Interference By Using Blind Adaptmentioning

confidence: 99%

Chaotic synchronization‐based communications using constant envelope pulse

Nakamura

Miyajima

Yamanaka

2008

Electrical Engineering Japan

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SUMMARYWe propose use of a constant-envelope pulse for the purpose of improving noise-rejection property in chaotic synchronization-based communication systems. In a conventional system where discrete-time chaotic signals are transmitted through the pulse amplitude modulation, the correlator output variance increases as the spreading factor decreases, while the synchronization error increases as the spreading factor increases. Therefore, it is difficult to control the bit error rate only by adjusting the spreading factor. In the proposed system, use of pulse width modulation keeps the envelope of transmitted signals constant, which leads to the correlator output with zero variance. The synchronization error is kept small because the spreading factor can be set to be one without increasing the correlator output variance. We have a result of computer simulation showing that the proposed system achieves a bit error performance better than the conventional system. In addition, a new blind adaptive algorithm is proposed which suppresses intersymbol interference.

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Section: Suppression Of Intersymbol Interference By Using Blind Adaptmentioning

confidence: 99%

Chaotic synchronization‐based communications using constant envelope pulse

Nakamura

Miyajima

Yamanaka

2008

Electrical Engineering Japan

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“…Among the blind linear equalization research different approaches can be pursued. These are: 1) Implicit/explicit higher order statistics (HOS) based methods [3], [4] in which nonconvex optimization algorithms can be included such as the constant-modulus algorithm (CMA) [2] and its derivatives [5], [6]; 2) Second-order cyclostationary statistics (SOCS) based methods such as linear prediction based direct equalization method of Li and Fan [7], output correlation matrix based method of [8], channel estimation based approaches of Tong et al [9] and Moulines et al [10]. Mathematical analysis of blind equalization has also attracted attention and tractable results are obtained particularly for CMA [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Blind Matched Filter Receiver

Baykal

2004

IEEE Trans. Circuits Syst. I

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Matched filter receiver (MFR) of Forney in the presence of intersymbol interference (ISI) and additive white Gaussian noise is investigated from a blind perspective, which includes blind maximum likelihood sequence detection, blind decision feedback equalization and linear blind equalization. Various realizations of the blind MFR are discussed. In a blind MFR, the channel can be easily estimated using a simple algorithm such as the constantmodulus algorithm (CMA). In this sense, the CMA can be used to estimate the channel directly without complicated matrix decomposition techniques. Zero forcing and minimum mean-square estimation based designs of the blind MFR are explored. Channel estimation using the CMA deteriorates in the presence of noise. A new method to tackle this problem is developed and shown to have satisfactory behavior in low signal-to-noise ratios. Tracking performance of the blind MFR is found to be acceptable in representative Rayleigh fading channels of mobile communication.Index Terms-Blind channel estimation, blind decision feedback equalization, constant-modulus algorithm (CMA), matched filter receiver.

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“…Systems studied in Refs. [3,9,10] are single carrier systems, and Ref. [11] studies CMA blind channel estimation in MC-CDMA systems.…”

Section: Introductionmentioning

confidence: 99%

SDCMA blind detection in frequency domain for MC DS-CDMA systems

Feng

2006

J. of Electron.(China)

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This paper proposes Steepest Decreasing Constant Modulus Algorithm (SDCMA) detection in frequency domain for MultiCarrier Direct Sequence-Code Division Multiple Access (MC DS-CDMA) systems.The proposed algorithm is used to equalize independent fadings of all subcarriers. At the same time we compare the SDCMA blind detection with subspace-based Minimum Mean-Squared Error (MMSE) detection. The simulation results show that the performance of SDCMA blind detection is superior to that of subspace-based MMSE detection and the complexity of the former is much lower than that of the latter.

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Anchored blind equalization using the constant modulus algorithm

Cited by 7 publications

References 16 publications

Chaotic synchronization‐based communications using constant envelope pulse

Chaotic synchronization‐based communications using constant envelope pulse

Blind Matched Filter Receiver

SDCMA blind detection in frequency domain for MC DS-CDMA systems

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