MMSE cyclic equalization

Latouche, G.; Pirez, D.; Vila, P.

doi:10.1109/milcom.1998.722562

Cited by 10 publications

(11 citation statements)

References 4 publications

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“…The coefficients W γ of all branches are jointly adapted based on some criteria such that the sum of their output closely approximates the reference signal of the desired user [4,5].…”

Section: A Conceptmentioning

confidence: 99%

Pulse Shape Design for Efficient Rejection of Unknown In-Band Interference Using Cyclic Wiener Filtering

Benjebbour

Asai

Yoshino

2006

IEEE Vehicular Technology Conference

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We study cyclic Wiener (CW) filtering based interference rejection to deal with unknown jamming interference. A desired wideband signal is assumed to spectrally overlap with an unknown narrowband interference. At the receiver, the CW filter exploits the spectral redundancy associated with pulse shaping the desired signal for rejecting the interference and recovering the desired signal. Its performance, however, largely depends on the carrier frequency offset between the desired and interfering signals and the amount of excess bandwidth associated with pulse shaping the desired signal. To alleviate these problems, we propose new pulses that we name as time-domain shrunk raised cosine pulses. Proposed pulses satisfy the Nyquist criterion and, compared to conventional raised cosine pulses, largely improve the ability of CW filtering at rejecting in-band interference, even for a less amount of excess bandwidth. Besides, the almostflat shape of their frequency response is shown to entail a good performance for CW filtering irrespective of the carrier frequency offset between the desired and interfering signals.

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“…The coefficients W γ of all branches are jointly adapted based on some criteria such that the sum of their output closely approximates the reference signal of the desired user [4,5].…”

Section: A Conceptmentioning

confidence: 99%

Pulse Shape Design for Efficient Rejection of Unknown In-Band Interference Using Cyclic Wiener Filtering

Benjebbour

Asai

Yoshino

2006

IEEE Vehicular Technology Conference

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“…A DFE uses prior sensor's decisions to mitigate damaging effects of ISI on the received symbols. Because of its nonlinear behviour, DFE outperforms linear equalizer LE) in systems where ISI is sever [2].Various equalization methods have been proposed for MIMO systems [3]- [10]. In our paper, a novel algorithm for MIMO communication systems centered on constrained optimization technique is developed.…”

Section: Introductionmentioning

confidence: 99%

A Robust MAI Constrained Adaptive Algorithm for Decision Feedback Equalizer for MIMO Communication Systems

Kazemzad¹,

Asad²,

Moinuddin³

et al. 2016

ijacsa

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Abstract-Decision feedback equalizer uses prior sensor's decisions to mitigate damaging effects of intersymbol interference on the received symbols. Due to its inherent non linear nature, decision feedback equalizer outperforms the linear equalizer in case where the intersymbol interference is sever in a communication system. Equalization of multiple input multiple output fast fading channels is a daunting job as these equalizers should not only mitigate the intersymbol interference but also interstream interference. Various equalization methods have been suggested in the adaptive filtering literature for multiple input multiple output systems. In our paper, we have developed a novel algorithm for multiple input multiple output communication systems centered around constrained optimization technique. It is attained by reducing the mean squared error criteria with respect to known variance statistics of multiple access interference and white Gaussian noise. Novelty of our paper is that such a constrained method has not been used for scheme of multiple input multiple output decision feedback equalizer resulting in a constrained algorithm. Performance of the proposed algorithm is compared to the least mean squared as well as normalized least mean squared algorithms. Simulation results demonstrate that proposed algorithm outclasses competing multiple input multiple output decision feedback equalizer algorithms.Index Terms-Decision feedback equalizer, inter symbol interference, multiple access interference, Rayleigh fading, AWGN, adaptive algorithm I. INTRODUCTIONMultiple input multiple output (MIMO) is a diversifying technique for mobile communication systems which uses multiple antennas at the transmitting side and receiving side for an efficient channel gain capacity. Antennas installed at both side of a communication system are utilized in such a way as to reduce the errors and boost data speed resulting in an effective communication for the users. Due to its inherent performance drawbacks, single input, single output (SISO) technology, has given way to the MIMO technology. In SISO, an antenna is utilized at transmitter as well as at receiver that results in multi path phenomina. When electromagnetic field (EM) waves are blocked by barricades, mountains, tall buildings, poles etc, these waves are dispersed, and as such use numerous ways to reach the desired destination. The late arrival of disseminated waveforms (signals) results in problems such as fading, cut outs, or sporadic reception. Another drawback of SISO is observed in mobile Internet, in which it has not only reduced the data rate as but also enhanced error propagation. Utilization of MIMO technology where multiple antennas are used at both end of the channel has mitigated the multipath wave propagation problem.Equalization of MIMO fast fading channels is a daunting task as these equalizers should not only mitigate the intersymbol interference (ISI) but also interstream interference (ISI) and this led to the introduction of decesion feedback equlaizati...

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“…Moreover, WL FRESH filtering for equalization/demodulation purposes in the presence of CCI has been considered in [41][42][43][44] for R signals and in [45][46][47] for QR signals. However, while [45] concerns DS-CDMA systems, [47] considers a particular DT MMSE approach and assumes different cyclostationarity properties of the signal of interest (SOI) and CCI.…”

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confidence: 99%

Enhanced Widely Linear Filtering to Make Quasi-Rectilinear Signals Almost Equivalent to Rectilinear Ones for SAIC/MAIC

Chevalier

Chauvat

Delmas

2018

IEEE Trans. Signal Process.

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Abstract-Widely linear (WL) receivers have the capability to perform single antenna interference cancellation (SAIC) of one rectilinear (R) or quasi-rectilinear (QR) co-channel interference (CCI), a function which is operational in global system for mobile communications (GSM) handsets in particular. Moreover, SAIC technology for QR signals is still required for voice services over adaptive multi-user channels on one slot (VAMOS) standard, a recent evolution of GSM/EDGE standard, to mitigate legacy GSM CCI in particular. It is also required for filter bank multi-carrier offset quadrature amplitude modulation (FBMC-OQAM) networks, which are candidate for 5G mobile networks, to mitigate inter-carrier interference (ICI) at reception for frequency selective propagation channels in particular. In this context, the purpose of this paper is twofold. The first one is to get more insights into the existing SAIC technology, and its extension to multiple antenna called MAIC, by showing analytically that, contrary to what is accepted as true in the literature, SAIC/MAIC implemented from standard WL filtering may be less efficient for QR signals than for R ones. From this result, the second purpose of the paper is to propose and to analyze, for QR signals and frequency selective fading channels, a SAIC/MAIC enhancement based on a three-input WL frequency shift (FRESH) receiver, making QR signals always almost equivalent to R ones for WL filtering in the presence of CCI. The results of the paper, completely new, may contribute to develop elsewhere new powerful WL receivers for QR signals and for both VAMOS and FBMC-OQAM networks in particular.

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MMSE cyclic equalization

Cited by 10 publications

References 4 publications

Pulse Shape Design for Efficient Rejection of Unknown In-Band Interference Using Cyclic Wiener Filtering

Pulse Shape Design for Efficient Rejection of Unknown In-Band Interference Using Cyclic Wiener Filtering

A Robust MAI Constrained Adaptive Algorithm for Decision Feedback Equalizer for MIMO Communication Systems

Enhanced Widely Linear Filtering to Make Quasi-Rectilinear Signals Almost Equivalent to Rectilinear Ones for SAIC/MAIC

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