Propagator Method for joint time delay and frequency estimation

Qasaymeh, M. M.; Hiren, Gami; Tayem, Nizar; Pendse, Ravi; Sawan, M.E.

doi:10.1109/acssc.2008.5074709

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…However, it is only used in the arrival angle estimation [14], and has not been introduced into the application of time-delay estimation. The null space of the JTDEF was extracted by applying the Propagator Method (PM) [15], Rank Revealing QR factorization (RRQR) [16] and an extra step was made in [16] to convert the complex matrix to a real data one via the unitary transformation of a square Toepltiz complex data matrix.…”

Section: Introductionmentioning

confidence: 99%

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Further Results on the Joint Time Delay and Frequency Estimation Without Eigendecomposition

Qasaymeh¹

2013

IJCNC

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Joint Time Delay and Frequency Estimation (JTDFE) problem of complex sinusoidal signals received at two separated sensors is an attractive problem that has been considered for several engineering applications. In this paper, a high resolution null (noise) subspace method without eigenvalue decomposition is proposed. The direct data Matrix is replaced by an upper triangular matrix obtained from Rank-Revealing LU (RRLU) factorization. The RRLU provides accurate information about the rank and the numerical null space which make it a valuable tool in numerical linear algebra. The proposed novel method decreases the computational complexity of JTDFE approximately to the half compared with RRQR methods. The proposed method generates estimates of the unknown parameters which are based on the observation and/or covariance matrices. This leads to a significant improvement in the computational load. Computer simulations are included in this paper to demonstrate the proposed method

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Section: Introductionmentioning

confidence: 99%

“…This paper is structured as follows. In Section 2, the system model and the problem formulation is presented which is similar to the models [6], [15]. The development of the proposed method is presented in Section 3.…”

Section: Introductionmentioning

confidence: 99%

Further Results on the Joint Time Delay and Frequency Estimation Without Eigendecomposition

Qasaymeh¹

2013

IJCNC

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“…Our methods are based on the well-known subspace estimation techniques Rank Revealing QR factorization (RRQR) [11], [12] and Propagator method (PM) [13], [14]. The RRQR is a special QR factorization that is guaranteed to reveal the numerical rank of the matrix.…”

Section: Introductionmentioning

confidence: 99%

Semiblind Multiuser MIMO Channel Estimators Using PM and RRQR Methods

Hiren

Qasaymeh

Pendse

et al. 2009

2009 Seventh Annual Communication Networks and Services Research Conference

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Estimating the channel state information (CSI) of several transmitters that use orthogonal space-time block codes (OSTBC) to communicate with a single receiver is considered. Based on Rank Revealing QR (RRQR) factorization and Propagator method (PM), two new algorithms to estimate multiuser MIMO channels are proposed. The algorithm estimates the subspace spanned by the user channels use only a few training blocks to extract the users CSI from this subspace. Our both algorithms achieve better performance in comparison with reference LS based approach. Computer simulations are included to validate proposed methods.

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“…We have used the existing structure of OFDM system to form a propagator to explore the presence of carrier offset. The propagator [11], [12] is a linear operator which only depends on steering vectors and which can be easily extracted from the direct data set. It is well known that the computational load of the PM based method is significantly reduced; as such it does not involve eigenvalue decomposition (EVD) or singular value decomposition (SVD) of cross-spectral matrix (CSM) [11] of the received signal.…”

Section: Introductionmentioning

confidence: 99%

Subspace based blind CFO estimation for OFDM by exploiting used carriers

Hiren

Qasaymeh

Tayem

et al. 2009

2009 IEEE Sarnoff Symposium

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Orthogonal Frequency Division Multiplexing (OFDM) is a promising technique to handle impairments of multipath channel. Alternatively, one of its major drawbacks is the drift in reference carrier, which is known as Carrier Frequency Offset (CFO). Hence, the CFO should be estimated and compensated with a sufficient accuracy. In this paper, a new algorithm for blind CFO-OFDM estimation is obtained by introducing the Propagator Method (PM) in conjunction with the well-known MUSIC based high resolution searching algorithm. Furthermore, the PM does not require the Eigenvalue Decomposition (EVD) or Singular Value Decomposition (SVD) of the covariance matrix of the received signals; Simulations are also included to demonstrate the effectiveness of the proposed method in comparison with other conventional methods.

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Propagator Method for joint time delay and frequency estimation

Cited by 5 publications

References 14 publications

Further Results on the Joint Time Delay and Frequency Estimation Without Eigendecomposition

Further Results on the Joint Time Delay and Frequency Estimation Without Eigendecomposition

Semiblind Multiuser MIMO Channel Estimators Using PM and RRQR Methods

Subspace based blind CFO estimation for OFDM by exploiting used carriers

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