Separation of cochannel signals under imperfect timing and carrier synchronization

Kannan, Arunachala Nadar Mada; Krauss, T.P.; Zoltowski, M.D.

doi:10.1109/25.917881

Cited by 13 publications

(30 citation statements)

References 20 publications

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“…Unfortunately, general guidelines for choosing the optimal design parameters and comprehensive performance analysis studies are missing in [26]. In this paper, we will present a general framework for the resynchronization filter design and show that the scheme in [26] is a special case of the proposed framework. Since the timing and channel estimates are needed in the resynchronization filter design, we first present the timing and channel estimation algorithms.…”

Section: Timing Synchronization Issue In Cooperative Systemsmentioning

confidence: 99%

“…A more direct method to resynchronize the multiple users is to design a resynchronization filter at the receiver to realign the asynchronous signals as first demonstrated in [26]. Unfortunately, general guidelines for choosing the optimal design parameters and comprehensive performance analysis studies are missing in [26].…”

Section: Timing Synchronization Issue In Cooperative Systemsmentioning

confidence: 99%

“…Note that there is no weighting matrix in the original method in [26]. In the following, we incorporate the weighting matrix to make the discussion more general, and setting will reduce the formulation back to that of [26].…”

Section: ) Choice Of Regularization Parametermentioning

confidence: 99%

“…Let for notation simplicity. Now in (26) can be expanded as (27) The (29) where It is shown in the Appendix that , therefore the minimum of (29) is achieved when…”

Section: A Matched Filteringmentioning

confidence: 99%

“…2) Special Case-Least Squares With a Quadratic Constraint: The resynchronization filter design was first discussed in [26] using the LS with a quadratic constraint (the Fixed SNR Loss or the Fixed Fidelity Loss methods). Note that there is no weighting matrix in the original method in [26].…”

Section: ) Choice Of Regularization Parametermentioning

confidence: 99%

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Timing Synchronization in Decode-and-Forward Cooperative Communication Systems

Xiao

Serpedin

2009

IEEE Trans. Signal Process.

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Abstract-Cooperative communication systems have attracted much attention recently due to their desirable performance gain while using single antenna terminals. This paper addresses the joint timing and channel estimation problem, and furthermore the resynchronization of multiple timing offsets in a cooperative relay system. The estimations of timing and channel are conducted in two phases and the associated Cramér-Rao bounds (CRB) are derived for both phases. It is demonstrated that the conventional CRB is not valid for timing parameters under fading conditions, and a new bound called Weighted Bayesian CRB is proposed. With the timing and channel estimates, a general framework of the resynchronization filter design is developed in order to compensate the multiple timing offsets at the destination. The proposed methods are applied to different scenarios with varying degrees of timing misalignment and are numerically shown to provide excellent performances that approach the perfectly synchronized case.

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Section: Timing Synchronization Issue In Cooperative Systemsmentioning

confidence: 99%

Section: Timing Synchronization Issue In Cooperative Systemsmentioning

confidence: 99%

Section: ) Choice Of Regularization Parametermentioning

confidence: 99%

“…Let for notation simplicity. Now in (26) can be expanded as (27) The (29) where It is shown in the Appendix that , therefore the minimum of (29) is achieved when…”

Section: A Matched Filteringmentioning

confidence: 99%

Section: ) Choice Of Regularization Parametermentioning

confidence: 99%

See 3 more Smart Citations