Simulation and performance of the pan-European land mobile radio system

D'Aria, G.; Muratore, F.; Palestini, V.

doi:10.1109/25.142776

Cited by 40 publications

(15 citation statements)

References 7 publications

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“…The signal is input to , the time-varying impulse response of a multipath channel, as (1) Assume that the kernel can be represented by an expansion of the form (2) where is a set of functions (wavelets) and are the (wavelet) coefficients of the expansion. Using this representation, we can express (1) as (3) where…”

Section: A Significance Of Modeling Time-varying Systems Using Waveletsmentioning

confidence: 99%

“…The unknown channel time variations are in fact decomposed using optimal unconditional bases [7] such as orthonormal wavelet bases [4], [5]. The use of basis expansion models in the representation of time-varying multipath channels is discussed in [9], but was used in earlier works on multipath modeling [3]. It is extremely important to realize that modeling of linear systems by basis functions can turn a time-varying system identification problem into a time-invariant one.…”

Section: Introductionmentioning

confidence: 99%

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Wavelet-based separating kernels for array processing of cellular DS/CDMA signals in fast fading

Martone¹

2000

IEEE Trans. Commun.

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We propose new detectors for direct-sequence code-division multiple-access (CDMA) signals that outperform known approaches in rapidly fading multipath channels. Multipath compensation in CDMA systems is a problem of significant complexity especially when rapidly fading is afflicting the radio frequency channel. In this work, we depart from typical approaches in search of new kernels that can more accurately characterize the time-varying nature of the estimation problem and focus on a multiresolution representation of the fading processes. The unknown channel time variations are in fact decomposed using optimal unconditional bases in the family of the orthonormal wavelets. We show that it is possible to represent the channel in a reduced-order dimensional space by matching the scattering function of the multipath channel to its decomposition and obtain an approach that is effective in fast fading environments, such as those practically found in macrocell wireless communication applications. We apply this representation to the development of a practical multiscale filter that achieves multiuser separation minimizing a time-averaged squared error. The technique is studied by means of computer simulations and hardware experiments that employ a currently deployed base-station system.

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Section: A Significance Of Modeling Time-varying Systems Using Waveletsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wavelet-based separating kernels for array processing of cellular DS/CDMA signals in fast fading

Martone¹

2000

IEEE Trans. Commun.

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“…In this paper, such rapidly fading channels are considered, specifically, the channel model described in [9,10,11,12] is used. In this model, the time varying channel taps are modeled by a finite linear combination of complex exponentials.…”

Section: Introductionmentioning

confidence: 99%

Recursive Detection of M-ary Signals over Fast Varying Mobile Communication Channel

El-Mahdy¹

2013

TELKOMNIKA

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Abstrak IntroductionMultipath fading has a major effect on the performance of mobile communication systems. The time varying nature of the mobile wireless channel causes a limitation in the performance of the designed for non-fading channel even at high signal to noise ratio. Then, the development of mobile cellular resulted in increasing interest in the study of signal detection in the presence of this rapidly time varying environment. If the channel exhibits intersymbol interference (ISI) in the received data, adaptive equalizers [1][2][3], that use adaptive algorithms [4], are used to recover the received signal and to remove the ISI. When the channel is rapidly varying, tracking these variations becomes a challenging problem and hence the equalizer may not be able to track the channel.Several articles discuss the problem of detection of M-ary signals [5][6][7][8]. In [5] the authors derived an exact expression for the symbol error probability (SEP) for coherent detection of M-ary PSK signals using array of antennas with optimum combining. They consider a Rayleigh flat fading channel. In [6], a low complexity breadth first tree detector, termed improved M-algorithm (IMA) is proposed. The authors showed that IMA works well without an energy compacting front end prefilter (FEP) even in frequency-selective channels. Moreover, the authors propose to make use of the cepstrum to compute the FEP via a minimum phase target impulse response. In [7], the effect of power and rate adaptation on the spectral efficiency of orthogonal frequency division multiplexing (OFDM) systems using M-ary quadrature

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“…As effective methods of constructing the adaptive equalizer, the decision feedback equalizer (DFE) [5] and maximum likelihood sequence estimation (MLSE) equalizer [1,2,5] are known [22]. In practice, an LSI implementation of DFE is considered, aiming at application to high-speed wireless land communications [23].…”

Section: Introductionmentioning

confidence: 99%