Space-time estimation techniques for UTRA system

Hew, N.; Zein, N.F.

doi:10.1049/cp:20000058

Cited by 5 publications

(3 citation statements)

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“…By estimating direction and time delay of arrival, the received signals from different paths (direct signal and multiple reflected signals) can be weighted and shifted to get the stronger signal. This principle is used in many algorithms like the one proposed in [3] or the algorithm which we use in Rake receivers [4].…”

Section: Introductionmentioning

confidence: 99%

Joint delay and direction of arrivals estimation in mobile communications

Grenier

Elahian

Blanchard-Lapierre

2014

SIViP

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In this paper, we present a novel and precise way of estimating the direction and delay of arrivals in multipath environment for channel estimation purposes. Recently, super-resolution methods have been widely used for highresolution direction of arrival (DOA) or time difference of arrival (TDOA) estimation. The proposed algorithm, called JDTDOA, is applicable to space-time channel estimation for space-time processing systems that employ hybrid DOA/TDOA technology. The estimator is based on conventional MUSIC algorithm to find the DOA and uses a standard correlator along with spline interpolation to find the TDOA of each arrival. In the interest of estimating the channel's characteristics, each direction must be associated with its proper delay of arrival. To achieve this, we suggest a very simple and optimum beamforming by performing maximum variance distortionless response applied to each DOA found. The output at each DOA beamforming process gives the recovered signal from the relevant direction. A correlation is then made between each recovered signals which can be interpolated by cubic spline. The peak in correlation figure indicates the specific delay between the signal arrivals coming from the two considered direction.

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Section: Introductionmentioning

confidence: 99%

Joint delay and direction of arrivals estimation in mobile communications

Grenier

Elahian

Blanchard-Lapierre

2014

SIViP

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“…Accurate estimation of the received signal angle of arrival (AOA) can be very beneficial for signal reception enhancement [1,2] and wireless positioning [3,4]. If the AOA estimates were not estimated accurately, then wireless devices would not be located accurately or the received signal bit error rate would be high.…”

Section: Introductionmentioning

confidence: 99%

Angle of Arrival Estimation Using Cholesky Decomposition

Al-Jazzar

2012

International Journal of Antennas and Propagation

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An angle of arrival (AOA) estimator is presented. Many applications require accurate AOA estimates such as wireless positioning and signal enhancement using space-processing techniques. The proposed AOA estimator depends on the Cholesky decomposition of the received signal autocorrelation matrix. The resultant decomposed matrices are used to modify the crosscorrelation matrix of the received signals at the antenna array doublets. The proposed method is named the Cholesky-decomposition-based-AOA (CDBA) estimator. In comparison with the TLS-ESPRIT algorithm which utilizes the eigenvalue decomposition (EVD) of the received signal autocorrelation and crosscorrelation matrices, the CDBA method has better performance than the TLS-ESPRIT algorithm especially in low signal-to-noise-ratio (SNR) cases. Simulations for the proposed CDBA method are shown to assess its performance.

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“…This idea is exploited in many approaches such as [4] where the algorithm used is based on a multidimensional version of ESPRIT. Previously, algorithms like MLE [5] or multidimensional MUSIC [6] were used but were discarded because they are unattractive for online estimation.…”

Section: Introductionmentioning

confidence: 99%

UWB joint TOA and DOA estimation

Lagunas

Nájar

Navarro

2009

2009 IEEE International Conference on Ultra-Wideband

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Abstract-This paper deals with the simultaneous estimation of Time of Arrival (TOA) and Direction of Arrival (DOA) in UWB systems considering multipath propagation. The estimation is performed in the frequency domain by computing a two dimensional power delay-angle spectrum based on the periodogram because of its low computational complexity. High accuracy is obtained in the estimation of both parameters, TOA and DOA, based on the wide bandwidth of the UWB signals.

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Space-time estimation techniques for UTRA system

Cited by 5 publications

References 0 publications

Joint delay and direction of arrivals estimation in mobile communications

Joint delay and direction of arrivals estimation in mobile communications

Angle of Arrival Estimation Using Cholesky Decomposition

UWB joint TOA and DOA estimation

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