A fractionally spaced MLSE receiver

Hamied, Khalid; Stuber, G.L.

doi:10.1109/icc.1995.525129

Cited by 13 publications

(7 citation statements)

References 6 publications

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“…The MIMO-DFE, in contrast, is much less sensitive to synchronization offsets. Nonetheless, sensitivity to sampling phase offsets would be drastically reduced-in all cases-with fractional spacing [40]. Both OSIC-DFE receivers perform very similarly in this example.…”

Section: Performance Evaluationmentioning

confidence: 68%

Layered space-time receivers for frequency-selective wireless channels

Lozano¹,

Papadias²

2002

IEEE Trans. Commun.

181

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Abstract-Recent results in information theory have demonstrated the enormous potential of wireless communication systems with antenna arrays at both the transmitter and receiver. To exploit this potential, a number of layered space-time architectures have been proposed. These layered space-time systems transmit parallel data streams, simultaneously and on the same frequency, in a multiple-input multiple-output fashion. With rich multipath propagation, these different streams can be separated at the receiver because of their distinct spatial signatures. However, the analysis of these techniques presented thus far had mostly been strictly narrowband. In order to enable high-data-rate applications, it might be necessary to utilize signals whose bandwidth exceeds the coherence bandwidth of the channel, which brings in the issue of frequency selectivity. In this paper, we present a class of layered space-time receivers devised for frequency-selective channels. These new receivers, which offer various performance and complexity tradeoffs, are compared and evaluated in the context of a typical urban channel with excellent results.

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Section: Performance Evaluationmentioning

confidence: 68%

Layered space-time receivers for frequency-selective wireless channels

Lozano¹,

Papadias²

2002

IEEE Trans. Commun.

181

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“…In [7], they have developed a practical FS-MLSE receiver insensitive to the sampler timing phase, in which the matched filter is a fixed analog filter matched to pulse shaping filter. This practical FS-MLSE receiver would outperform the SS-MLSE one under the rapidly time-varying fading circumstances if the side information has 0 This work was supported in part by the National Science Council of Taiwan under Grant NSC 94-2213-E-033-012.…”

Section: Introductionmentioning

confidence: 99%

“…SYSTEM MODEL An equivalent baseband system model of the FS-MLSE receiver insensitive to the sampler timing phase [7] is illustrated in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

SPC10-1: Fractionally-Spaced a-EM-MLSE Receivers Over Frequency-Selective Fading Channels

2006

IEEE Globecom 2006

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The EM (expectation-maximization) algorithm is used to solve the decision delay problem existed in maximumlikelihood sequence estimation (MLSE) receivers, while the α-EM-MLSE receivers provide an alternative controllable convex divergence scheme for accelerating the overall convergence speed at the expense of more complicated mathematical structures. Instead of the conventional symbol-spaced (SS) MLSE structure, a new design based upon T /2-spaced samples for α-EM MLSE receivers has been scrutinized. Simulation results reveal that the number of branch metric computations and the accuracy of received sampling data dominate the overall convergence speed. That is, fractionally-spaced (FS) adaptive α-EM MLSE receivershave not only demonstrated a better BER performance, but they also could further speed up the convergence speed for α ≥ −0.5 under SNR ≤ 20 dB. Furthermore, the FS adaptive α-EM-MLSE receiver gives the more accurate sampling data for compensating the penalty of its twice number of branch metric computations so that both FS and SS receivers would reach almost the same convergence speed under the circumstance of SNR > 20 dB and α ≥ −0.5.

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“…In [10] and [11], the performances of systems with various fractionally spaced receivers are investigated with simulations. The theoretical performance of fractionally spaced equalizer 1536-1276/07$20.00 c 2007 IEEE is analyzed in [12] with the union bound technique, where the pairwise error probabilities of mutually overlapped error events are added up as an upper bound of system error probability. It is well known that the union bound is rather loose compared to the actual system performance, especially at low signal-to-noise ratio (SNR).…”

mentioning

confidence: 99%

“…To remove the effects of spectrum aliasing at the receiver, fractionally spaced equalizers are discussed in [1], [10]- [12]. In [10] and [11], the performances of systems with various fractionally spaced receivers are investigated with simulations.…”

mentioning

confidence: 99%

On the error performance of wireless systems with frequency selective fading and receiver timing phase offset

Zheng

Letaief

et al. 2007

IEEE Trans. Wireless Commun.

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Receiver timing phase is one of the essential factors defining the performance of wireless communication systems. In this paper, we investigate the effects of timing phase offset, which is introduced by the phase difference between the transmitter clock and receiver clock, on the performance of wireless systems over frequency selective fading. With frequency domain analysis, the instantaneous signal-to-noise ratio (SNR) observed by the communication receiver is expressed as an explicit function of system timing phase offset and receiver oversampling factor. A tight performance lower bound, which corresponds to the best possible system performance under particular system configuration, is then derived by examining the statistical properties of the receiver SNR. From the analytical results, it is observed that, if the receiver sampling rate is less than the Nyquist rate of the received signal, then the system performance lower bound is a periodic function of the timing phase offset. On the other hand, the best possible performance of the oversampled system is independent of timing phase offset. Moreover, the oversampled system can use a receive filter matched to the time-invariant transmit filter instead of a statistical filter matched to the joint response of channel and transmit filter without affecting the best possible system performance. Simulation results show that the theoretical bound derived in this paper can accurately predict the performance of practical communication systems suffering from both frequency selective fading and timing phase offset.Index Terms-Fractionally spaced receiver, frequency selective fading, matched filter bound, timing phase sensitivity.

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A fractionally spaced MLSE receiver

Cited by 13 publications

References 6 publications

Layered space-time receivers for frequency-selective wireless channels

Layered space-time receivers for frequency-selective wireless channels

SPC10-1: Fractionally-Spaced a-EM-MLSE Receivers Over Frequency-Selective Fading Channels

On the error performance of wireless systems with frequency selective fading and receiver timing phase offset

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