Spectral correlation evaluation of MSK and offset QPSK modulation

Vucic, Desimir; Obradovic, M.

doi:10.1016/s0165-1684(99)00075-4

Cited by 22 publications

(6 citation statements)

References 3 publications

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“…Furthermore, they enable an analysis of cycle features depending on the probability distribution of information symbols in an M-ary system. The results in this paper benefit from the previous work on a unified, stochastic, matrix-based method for cyclic spectral analysis of digitally modulated signals [5][6][7].…”

Section: Introductionmentioning

confidence: 85%

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Cyclic spectral analysis of TH-PPM UWB impulse radio signals

Vucic

Moulines

Pokrajac

2009

2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services

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A new, matrix-based, stochastic method for the cyclic spectral analysis of pulse position modulation with timehopping multiple access (TH-PPM) ultra-wideband impulse radio (UWB-IR) signals, based on their Markov chain representation, is proposed. Explicit expression for the cyclic spectrum of TH-PPM signal is derived and spectral correlation characterization is performed. Some theoretical and graphed results for the spectral correlation characterization of multipleaccess UWB-IR systems with binary pulse position modulation and user specific TH coding are presented, as well.

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Section: Introductionmentioning

confidence: 85%

“…By applying definitions (1-4) on the previously described matrix model of the UWB-IR signals (11), their cyclic spectrum ( ) x f S  is obtained (similarly to [5,6]) in the form…”

Section: Cyclic Spectrum Of Th-ppm Signalmentioning

confidence: 99%

Cyclic spectral analysis of TH-PPM UWB impulse radio signals

Vucic

Moulines

Pokrajac

2009

2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services

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“…Here α i and β i are the so-called non-conjugate and conjugate SO cyclic frequencies of n(t) such that α i = β i = i/T (i ∈ Z) for R signals and α i = i/T and β i = (2i + 1)/2T (i ∈ Z) for QR signals [50][51][52], R αi n (τ ) and C βi n (τ ) are the first and second cyclic correlation matrices of n(t) for the cyclic frequencies α i and β i and the delay τ , defined by…”

Section: Models and Total Noise Second-order Statistics A Observmentioning

confidence: 99%

“…As the two-input pseudo-MLSE receiver applied to the model (11) exploits the information contained in (α 0 , β 0 ) = (0, 0), it always exploits most of the SO non-circularity information of R signals, hence its very good performance. On the contrary, the main information about the SO non-circularity of QR signals is always symmetrically contained in the two conjugate SO cyclic frequencies (β 0 , β −1 ) = (1/2T, −1/2T ), as illustrated in [51], [52], or equivalently in (β d0 , β d−1 ) = (0, −1/T ) for derotated QR signals. As a consequence, as the two-input pseudo-MLSE receiver applied to the model (15) exploits the information contained in (α d0 , β d0 ) = (0, 0), or in (α 0 , β 0 ) = (0, 1/2T ), it only exploits half of the main SO non-circularity information of QR signals, hence its sub-optimality.…”

Section: A the Lower Efficiency Of Qr Signalsmentioning

confidence: 99%

“…It is easy to verify from (51), (52) and (53) that z F3 (n) can be written as (21) where z n,F (n) is replaced by z n,F3 (n) = [j −n y n,F3 (n)] and where y n,F3 (n) is defined by (52) for k = n with n F3 (f ) instead of x F3 (f ). The SINR on the current symbol n at the output of the three-input pseudo-MLSE receiver is then defined by…”

Section: Sinr At the Output Of The Three-input Pseudo-mlse Receivermentioning

confidence: 99%

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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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