Joint angle and delay estimation (JADE) for signals in multipath environments

Vanderveen, M.C.; Ng, Boon Chong; Papadias, Constantinos B.; Paulraj, A.

doi:10.1109/acssc.1996.599145

Cited by 31 publications

(14 citation statements)

References 8 publications

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“…To reduce calculation amount M.C. Vanderveen have proposed a 2-D ESPRIT method [4] [5] which is based on the rotational invariance property . The 2-D ESPRIT method fist estimates the channel impulse response.…”

Section: Introductionmentioning

confidence: 99%

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An improved 2-D ESPRIT Method for joint DOA-delay estimation

Wan

2007

2007 International Conference on Communications, Circuits and Systems

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For the purpose of estimating DOAs and delays of multipath signals, a novel improved 2-dimensional (2-D) ESPRIT is proposed. The improved method estimates the joint space-time signal subspace firstly. Then FFT and deconvolution is done to map time delay parameters into frequency phase shifts and a modified joint signal subspace is constructed. At last DOAs and delays are estimated by using rotational invariance property. Compared with traditional 2-D ESPRIT method, the method we proposed here can prevent the correlated noise problem when FFT is done to estimated channel directly. Simulation results show the effectiveness of the improved method.I.

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Section: Introductionmentioning

confidence: 99%

“…As in [4] we assume ( ) t h has finite channel length L . One usually used channel impulse response model can be expressed as From (1) If we collect array out using a tapped delay line over N symbol period and oversample the array out at P times of s T , the array out matrix X can be represented as…”

Section: Introductionmentioning

confidence: 99%

An improved 2-D ESPRIT Method for joint DOA-delay estimation

Wan

2007

2007 International Conference on Communications, Circuits and Systems

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“…The CRB in this case has been developed in [5] as CRB real (23) where element-wise matrix product (Schur-Hadamard product); matrix of ones; covariance matrix of the channel estimates , given by .…”

Section: Cramér-rao Boundmentioning

confidence: 99%

“…Joint estimation can resolve a larger number of rays than 1-D estimation and is preferred to avoid exceptions and maintain resolution in cases where two or more rays have equal directions of arrival (DOA's) or delays. Various approaches to similar joint estimation problems with known pulse shape have recently been proposed [5]- [10]. These approaches often require computationally unattractive ML searches and/or need accurate initial points and do not always work properly for rays with nearly equal directions or delays.…”

Section: Introductionmentioning

confidence: 99%

Joint angle and delay estimation using shift-invariance techniques

Veen

Vanderveen

Paulraj³

1998

IEEE Trans. Signal Process.

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258

116

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Abstract-In a multipath communication scenario, it is often relevant to estimate the directions and relative delays of each multipath ray. We derive a closed-form subspace-based method for the simultaneous estimation of these parameters from an estimated channel impulse response, using knowledge of the transmitted pulse shape function. The algorithm uses a two-dimensional (2-D) ESPRIT-like shift-invariance technique to separate and estimate the phase shifts due to delay and direction of incidence with automatic pairing of the two parameter sets. Improved resolution is obtained by enlarging the data matrix with shifted and conjugated copies of itself.

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“…Various approaches to the joint estimation problem with known pulse shape have been proposed in the literature (see e.g., [1]- [4] and references therein). These approaches often require computationally expensive maximum likelihood (ML) searches and/or need accurate initial points.…”

Section: Introductionmentioning

confidence: 99%

Joint angle and delay estimation using shift-invariance properties

Veen

Vanderveen²,

Paulraj³

1997

IEEE Signal Process. Lett.

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Abstract-Assuming a multipath propagation scenario, we derive a closed-form subspace-based method for the simultaneous estimation of arrival angles and path delays from measured channel impulse responses, using knowledge of the transmitted pulse shape function and assuming a uniform linear array and uniform sampling. The algorithm uses a two-dimensional (2-D) ESPRIT-like shift-invariance technique to separate and estimate the phase shifts due to delay and direction-of-incidence, with automatic pairing of the two parameter sets. A straightforward extension to the multiuser case allows to connect rays to users as well.

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Joint angle and delay estimation (JADE) for signals in multipath environments

Cited by 31 publications

References 8 publications

An improved 2-D ESPRIT Method for joint DOA-delay estimation

An improved 2-D ESPRIT Method for joint DOA-delay estimation

Joint angle and delay estimation using shift-invariance techniques

Joint angle and delay estimation using shift-invariance properties

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