#### DMCA

## 1 Cyclostationarity-based Doppler Spread Estimation in Mobile Fading Channels

Citations: | 1 - 0 self |

### Citations

643 |
Principles of Mobile Communications
- Stuber
- 1996
(Show Context)
Citation Context ...d interleaving can take advantage of the Doppler information as well. Knowledge of the mobile speed is also useful for cellular network control algorithms, such as handoff and channel/cell assignment =-=[2]-=-. Handoff algorithms normally use the average strength of the received signal to determine when the MS is to be served by another base station (BS). Appropriate choice of a the temporal averaging wind... |

188 | Proper complex random processes with applications to information theory
- Neeser, Massey
- 1993
(Show Context)
Citation Context ...ier transform of ˜rw(l) and given by ∞∑ ˜Ωw(f) = A. The Cyclic Correlation Approach l=−∞ ˜rw(l)e −j2πlT f . (8) IV. THE CYCLOSTATIONARITY-BASED ESTIMATORS For an arbitrary proper complex process z(t) =-=[18]-=-, it is known that r ˙z(t; τ) = r ˙z(t, u) = ∂ 2 rz(t; u)/∂t∂u, where dot denotes differentiation with respect to time t. According to (4) we have r ˙z(t; τ) =r ˙ h (τ)rs(t; τ) + r h ˙ h (τ)r ˙ss(t; τ... |

87 |
Introduction to Random Processes with Applications to Signals and Systems (2nd Edition
- Gardner
- 1990
(Show Context)
Citation Context ...− mT ), (5) February 5, 2008 DRAFT5 in which ˜rw(n − m) = E {w(m)w ∗ (n)} and l = n − m. It is well known that s(t) is a cyclostationary random process since rs(t; τ) is periodic in t, with period T =-=[17]-=-. Consequently we have rz(t + kT ; τ) = rz(t; τ), ∀ t, τ, which indicates that z(t) is cyclostationary as well, with the same period T . The cyclic correlations which are the Fourier coefficients of r... |

71 | A Parametric Model for the Distribution of the Angle of Arrival and the Associated Correlation Function and Power Spectrum at the Mobile Station
- Abdi
- 2002
(Show Context)
Citation Context ...istribution for the AOA, the autocorrelation function of h(t), defined by rh(τ) = E[h(t)h ∗ (t + τ)], where E[.] and ∗ denote mathematical expectation and complex conjugate, respectively, is given by =-=[16]-=- rh(τ) = K K + 1 exp(j2πfDτ cos α0) + 1 K + 1 × I0 ( √κ 2 − 4πf 2 D τ 2 + j4πκfDτ cos α I0(κ) ) , (3) where α ∈ [−π, π) is the mean AOA of the diffuse component, κ ≥ 0 controls the width of the diffus... |

40 |
Adaptive Averaging Methodology for Handoffs in Cellular Systems
- Holtzman, Sampath
- 1995
(Show Context)
Citation Context ...biles’ speeds to allocate slow mobiles to microcells and fast ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods =-=[4]-=- [5] [6] [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level c... |

22 | On velocity estimation and correlation properties of narrow-band mobile communication channels
- Tepedelenlioglu, Giannakis
- 2001
(Show Context)
Citation Context ...peeds to allocate slow mobiles to microcells and fast ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] =-=[6]-=- [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level crossing,... |

15 | Effect of mobile velocity on communications in fading channels
- Chu, Stark
- 2000
(Show Context)
Citation Context ...subsystems. One important application is adaptive transceiver design. In order to improve performance or reduce complexity, the system parameters need to be adapted to the changing channel conditions =-=[1]-=-, which in turn necessitates the estimation of Doppler spread. For example, the MS can use Doppler information to regularly adjust the power of the received signal to exploit, as much as possible, the... |

15 |
Doppler spread estimation in mobile radio systems
- Krasny, Arslan, et al.
- 2001
(Show Context)
Citation Context ...st ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] [7] [8], maximum likelihood (ML) based methods =-=[9]-=- [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level crossing, which is proportional to the mobile speed. On the ... |

11 | Robust Doppler spread estimation in nonisotropic fading channels
- Baddour, Beaulieu
- 2005
(Show Context)
Citation Context ... allocate slow mobiles to microcells and fast ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] [7] =-=[8]-=-, maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level crossing, which i... |

11 | Vepsd: a novel velocity estimation algorithm for nextgeneration wireless systems
- MOHANTY
- 2005
(Show Context)
Citation Context ...stimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] =-=[12]-=- [13]. Crossing-based approaches rely on the number of received signal level crossing, which is proportional to the mobile speed. On the other hand, covariance-based algorithms exploit the Doppler inf... |

11 |
Nonparametric Polyspectral Estimators for kth-order (Almost) Cyclostationary Processes
- Giannakis, Dandawate
(Show Context)
Citation Context ...) − R ) ˙s(k; 0) , k = 0. (12) Rs(k; 0) The cyclic correlations of z(t) can be estimated from the discrete-time-version signal of z(t), oversampled at a rate of P/T and represented by {z[n]} N−1 n=0 =-=[19]-=- where τd ˆRz(k; P τd/T ) = 1 N−τd−1 ∑ √ N n=0 z[n]z ∗ [n + τd]e −j2πkn/P , (13) = 0, 1, 2, ..., N − 1. To estimate the cyclic correlations of ˙z(t), first ˙z(t) can be estimated from the oversampled ... |

10 |
On generalized covariance-based velocity estimation
- Anim-Appiah
- 1999
(Show Context)
Citation Context ...s’ speeds to allocate slow mobiles to microcells and fast ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] =-=[5]-=- [6] [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level cross... |

9 |
Estimating Jakes’ Doppler power spectrum parameters using the Whittle approximation
- Dogandzic, Zhang
- 2005
(Show Context)
Citation Context ...nes to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] [7] [8], maximum likelihood (ML) based methods [9] =-=[10]-=-, and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level crossing, which is proportional to the mobile speed. On the other... |

8 |
Efficient simulation of space-time correlated MIMO mobile fading channels
- Acolatse, Abdi
- 2003
(Show Context)
Citation Context ...tion and next investigate the effect of noise, nonisotropic scattering, and LOS. Then we present the performance of our space-time estimator. The fading channel is generated using the spectral method =-=[22]-=-. The bandlimited Gaussian noise v(t), with the autocorrelation σ2 vg(τ), is simulated via the same method. It is worth noting that our algorithm does not put any constraint on the distribution of bot... |

5 |
Proakis, “A parametric method for doppler spectrum estimation in mobile radio channels
- Lin, G
- 1993
(Show Context)
Citation Context ...s to allocate slow mobiles to microcells and fast ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] =-=[7]-=- [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the number of received signal level crossing, whi... |

5 | Blind synchronization and Doppler spread estimation for MSK signals in time-selective fading channels
- Swami, Ghogho, et al.
- 2000
(Show Context)
Citation Context ...eloped PSD based estimators utilize some unique features of the Doppler spectrum. All the above existing speed estimators work based on transmitted pilot tones. To the best of our knowledge, only one =-=[14]-=- has addressed blind speed estimation in a nonlinear modulation system, with no analytical or simulation-based performance evaluation. In this paper, we develop February 5, 2008 DRAFT3 new speed esti... |

4 |
A unified approach to the performance analysis of speed estimation techniques in mobile communication
- Abdi, Zhang, et al.
- 2008
(Show Context)
Citation Context ...lgorithm uses the estimated mobiles’ speeds to allocate slow mobiles to microcells and fast ones to macrocells. There are four major classes of speed estimation techniques: crossing-based methods [2] =-=[3]-=-, covariance-based methods [4] [5] [6] [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] [13]. Crossing-based approaches rely on the num... |

3 |
Nonparametric mobile speed estimation in fading channels: Performance analysis and experimental results
- Zhang, Abdi
- 2009
(Show Context)
Citation Context ...tion techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods [11] [12] =-=[13]-=-. Crossing-based approaches rely on the number of received signal level crossing, which is proportional to the mobile speed. On the other hand, covariance-based algorithms exploit the Doppler informat... |

3 |
Parametric modeling and estimation of the spatial characteristics of a source with local scattering
- Abdi, Kaveh
- 2002
(Show Context)
Citation Context ...hat ∆ = d/λ, is given by rz((b − a)∆, (t; τ)) = rh((b − a)∆, τ)rs(t; τ) + rv(τ)δb−a, (30) where the space-time channel crosscorrelation, defined by rh((b − a)∆, τ) = E[ha(t)h∗ b (t + τ)], is given by =-=[21]-=- rh((b − a)∆, τ) = × I0 K K + 1 exp (j(ζ + ϱ) cos α0) + 1 K + 1 ) ( √κ 2 − ζ 2 − ϱ 2 − 2ζϱ + j2κ(ζ + ϱ) cos α I0(κ) , (31) where ζ = 2πfDτ, and ϱ = 2π(a − b)∆. We assume the same Rician factor K and u... |

2 |
Nonparametric Doppler spread estimation for flat fading channels
- Baddour, Beaulieu
- 2003
(Show Context)
Citation Context ...eed estimation techniques: crossing-based methods [2] [3], covariance-based methods [4] [5] [6] [7] [8], maximum likelihood (ML) based methods [9] [10], and power spectrum density (PSD) based methods =-=[11]-=- [12] [13]. Crossing-based approaches rely on the number of received signal level crossing, which is proportional to the mobile speed. On the other hand, covariance-based algorithms exploit the Dopple... |

1 |
Mimo equalization for space-time coded signals using cyclostationarity
- Choi
- 2003
(Show Context)
Citation Context ...ases such as β = 0, (29) is applicable to the blind method. V. A MULTI-ANTENNA CYCLOSTATIONARITY-BASED ESTIMATOR Multi-antenna systems can take advantage of the cyclostationarity of modulated signals =-=[20]-=-. In this section, we extend our algorithm to a system with multiple antennas, to improve the performance. Consider a uniform linear antenna array at an elevated base station (BS) of a marcocell, comp... |