Blind equalization of single-input single-output fir channels for chaotic communication systems

Vural, Cabir; Çetinel, Gökçen

doi:10.1016/j.dsp.2009.06.001

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…In order to mitigate the ISI, equalization schemes applied to CBCSs have been proposed in the literature, using different approaches of message encoding (see, e.g., [10], [11], [14], [23]- [27]). Among these references, [10], [11] and [14] consider the equalization applied in the discrete-time domain for the chaotic modulation that feeds back the transmitted sequence in the CSG.…”

Section: Introductionmentioning

confidence: 99%

Equalization in chaos-based communication systems using kernel adaptive filtering

Candido

Eisencraft

Silva

2019

JCIS

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Chaos-based communication systems have attracted attention of researchers in academy and industry in the last decades. A particular family of such systems has as basic idea to use the transmitted message to modify a known nonlinear chaotic signal generator (CSG). In the receiver, the knowledge of the employed nonlinear CSG in conjunction with chaotic synchronization permits to recover the original message. These systems are an alternative for spread spectrum communication with a possible increase in the security in the physical layer, since it is necessary to perfectly know the CSG in the receiver to decode the message. However, the lack of robustness of chaotic synchronization in relation to channel noise and intersymbol interference still poses a barrier for their practical use. The problem of equalization for such systems have been tackled for a while, and algorithms based on the normalized least-mean squares have presented auspicious results for linear channels. For nonlinear channels, Kernel Adaptive Filters (KAFs) have been used since they are able to solve nonlinear problems implicitly projecting the input vector into a larger dimension space, where they can be linearly solved. Therefore, in this paper, we propose the use of KAFs with two purposes: to equalize linear and nonlinear channels and, at the same time, decode the message without knowledge of the CSG in the receiver. Simulation results show that the proposed solution is able to perform these tasks.

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Section: Introductionmentioning

confidence: 99%

Equalization in chaos-based communication systems using kernel adaptive filtering

Candido

Eisencraft

Silva

2019

JCIS

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“…Performance of these systems can degrade if fading coefficients are complex and the correct channel coefficients are not known at the receiver. Various adaptive equalization algorithms and corresponding BER performance for CDMA system with binary spreading codes have been investigated in [24][25][26][27][28] but none of these were used in chaos based CDMA system. Further, complex fading coefficients are estimated using Bayesian estimator in [14,29] and with least mean square (LMS) in [30,31] for chaos based CDMA systems.…”

Section: Introductionmentioning

confidence: 99%

Maximal Ratio Combining Using Channel Estimation in Chaos Based Pilot-Added DS-CDMA System with Antenna Diversity

Patel

Berber

Sowerby

2017

Wireless Communications and Mobile Computing

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This paper presents an adaptive multiuser transceiver scheme for DS-CDMA systems in which pilot symbols are added to users’ data to estimate complex channel fading coefficients. The performance of receiver antenna diversity with maximal ratio combining (MRC) technique is analyzed for imperfect channel estimation in flat fading environments. The complex fading coefficients are estimated using least mean square (LMS) algorithm and these coefficients are utilized by the maximal ratio combiner for generating the decision variable. Probability of error in closed form is derived. Further, the effect of pilot signal power on bit error rate (BER) and BER performance of multiplexed pilot and data signal transmission scenario are investigated. We have compared the performance of added and multiplexed pilot-data systems and concluded the advantages of both systems. The proposed CDMA technique uses the chaotic sequence as spreading sequence. Assuming proper synchronization, the computer simulation results demonstrate the better bit error rate performance in the presence of channel estimator in the chaotic based CDMA system and the receiver antenna diversity technique further improves the performance of the proposed system. Also, no channel estimator is required if there is no phase distortion to the transmitted signal.

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“…The first term of the objective function is the sum of the squared error signals over all chaotic signals and it is called the nonlinear prediction error (NPE). Minimizing the NPE overcomes the effect of ISI as discussed previously[23]. Even if the NPE goes to zero, it is not possible to recover transmitted signals reliably because of MUI resulting from the contribution of other chaotic input signals.…”

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confidence: 97%

Adaptive blind equalization for a MIMO chaotic communication system

Çetinel¹,

Vural²

2020

Turk J Elec Eng & Comp Sci

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There exist few blind solutions for chaotic MIMO channel equalization. In this work, a chaotic MIMO channel equalization framework is proposed. The objective function to be minimized in the proposed solution is obtained by adopting the objective function developed for chaotic SISO channel equalization. Furthermore, an optimum filter that minimizes the proposed cost function is designed to recover chaotic input signals assuming that the channel is known. The stationary point of the adaptive solution is equal to the optimal filter if the adaptive filter coefficients change sufficiently slowly. The adaptive solution is contrasted with the optimum filter in terms of mean-square error and bit error rate performances. In addition, the proposed solution reconstructs chaotic input signals at the same time. Consequently, it can be applied to multiple signal separation problems as well.

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Blind equalization of single-input single-output fir channels for chaotic communication systems

Cited by 12 publications

References 15 publications

Equalization in chaos-based communication systems using kernel adaptive filtering

Equalization in chaos-based communication systems using kernel adaptive filtering

Maximal Ratio Combining Using Channel Estimation in Chaos Based Pilot-Added DS-CDMA System with Antenna Diversity

Adaptive blind equalization for a MIMO chaotic communication system

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