An adaptive array utilizing an adaptive spatial averaging technique for multipath environments

Takao, K.; Kikuma, Nobuyoshi

doi:10.1109/tap.1987.1144039

Cited by 57 publications

(30 citation statements)

References 10 publications

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“…Hence, in order to completely suppress the interference wave, the correlation between the arriving waves must be completely suppressed. A spatial smoothing method capable of realizing such a sharp suppression is the adaptive spatial smoothing method [6,10].…”

Section: Correlation Suppression By An Adaptive Spatial Smoothing Methodsmentioning

confidence: 99%

“…In this case, an adaptive spatial smoothing method [6,10] using the frequency characteristics of the OFDM signal, which suppresses correlation between the arriving waves in the correlation matrix, is introduced. Also, computer simulation is used to perform an analysis of the basic characteristics and a characteristic analysis of the mutual coupling between the elements in order to demonstrate the effectiveness of the proposed system.…”

confidence: 99%

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Applying the DCMP adaptive array to the OFDM‐CDMA systems

Uraguchi

Kikuma

Inagaki

2001

Electron. Comm. Jpn. Pt. I

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SUMMARYIt is known that DS/CDMA has extremely good interference suppression characteristics. However, due to the correlation of the spreading code, interference occurs and the communication quality is degraded. In order to resolve this problem, various systems have been proposed that suppress interference by means of adaptive arrays. In this paper, we propose a system for operating a DCMP adaptive array based on estimation of the array propagation vector of the desired signals in the OFDM-CDMA communication system by the ESPRIT algorithm. In this application, correlation between the arriving waves is suppressed by adaptive spatial smoothing using the frequency characteristics of the OFDM signals. In order to determine the effectiveness of the proposed system, a computer simulation is used for analysis of the fundamental characteristics and the nature of the mutual coupling between elements. It is found that the system works well as a DCMP adaptive array and that separated reception of correlated multiple waves is possible. © 2001 Scripta Technica, Electron Comm Jpn Pt 1, 84(11): 4453, 2001

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Section: Correlation Suppression By An Adaptive Spatial Smoothing Methodsmentioning

confidence: 99%

Applying the DCMP adaptive array to the OFDM‐CDMA systems

Uraguchi

Kikuma

Inagaki

2001

Electron. Comm. Jpn. Pt. I

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“…To estimate the covariance matrix, we use the sub-array averaging technique [28]. In the sub-array averaging technique, multiple sub-arrays are situated into the full-size array.…”

Section: Wavenumber Estimation Using the Esprit Algorithmmentioning

confidence: 99%

Rapid High-Resolution Wavenumber Extraction from Ultrasonic Guided Waves Using Adaptive Array Signal Processing

et al. 2018

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Quantitative ultrasound techniques for assessment of bone quality have been attracting significant research attention. The axial transmission technique, which involves analysis of ultrasonic guided waves propagating along cortical bone, has been proposed for assessment of cortical bone quality. Because the frequency-dependent wavenumbers reflect the elastic parameters of the medium, high-resolution estimation of the wavenumbers is required at each frequency with low computational cost. We use an adaptive array signal processing method and propose a technique that can be used to estimate the numbers of propagation modes that exist at each frequency without the need for time-consuming calculations. An experimental study of 4-mm-thick copper and bone-mimicking plates showed that the proposed method estimated the wavenumbers accurately with estimation errors of less than 4% and a calculation time of less than 0.5 s when using a laptop computer.

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“…Adaptive spatial smoothing processing (ASSP) has been considered [10,11], in contrast, as a form of spatial smoothing that strongly reduces cross-correlation. It is a method based on the fact that the correlation matrix is a Toeplitz matrix [10,11] when the interference wave and the desired wave are uncorrelated.…”

Section: Use Of Adaptive Spatial Smoothing Processingmentioning

confidence: 99%

“…It is a method based on the fact that the correlation matrix is a Toeplitz matrix [10,11] when the interference wave and the desired wave are uncorrelated. The weight is chosen so that the correlation matrix after spatial smoothing is a Toeplitz matrix, that is, the variance of each diagonal component is minimized.…”

Section: Use Of Adaptive Spatial Smoothing Processingmentioning

confidence: 99%

DOA estimation of desired signals by cyclic ESPRIT based on noise subspace and its performance improvement

Inagaki

Kikuma

Hirayama

et al. 2007

Electron. Comm. Jpn. Pt. I

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SUMMARYBecause of the rapid development of mobile communications and ITS (intelligent transport systems), the electromagnetic wave propagation environment is becoming complex, and there is an increasing demand for techniques to estimate the direction of arrival with high resolution and to reduce the effect of interference waves. Among these, Cyclic MUSIC and Cyclic ESPRIT, in which the direction of the arriving wave can be estimated selectively by utilizing the periodic stationary property of the arriving wave, are attracting attention. The authors are proposing Cyclic ESPRIT based on the noise subspace (NS Cyclic ESPRIT) in order to remedy the performance degradation produced by the fact that the correlation matrix of the array input used in Cyclic ESPRIT is not a Hermitian matrix. However, when the number of snapshots is finite in the estimation of arrival direction by Cyclic MUSIC or Cyclic ESPRIT, the interference wave component remaining in the correlation matrix has an adverse effect on the accuracy of directionof-arrival estimation. Consequently, adaptive spatial smoothing processing and generalized eigenvalue decomposition are introduced into NS Cyclic ESPRIT in this study, aiming at reduction of the remaining interference component and at performance improvement in directionof-arrival estimation. A computer simulation verifies that the performance in direction-of-arrival estimation in NS Cyclic ESPRIT is improved.

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An adaptive array utilizing an adaptive spatial averaging technique for multipath environments

Cited by 57 publications

References 10 publications

Applying the DCMP adaptive array to the OFDM‐CDMA systems

Applying the DCMP adaptive array to the OFDM‐CDMA systems

Rapid High-Resolution Wavenumber Extraction from Ultrasonic Guided Waves Using Adaptive Array Signal Processing

DOA estimation of desired signals by cyclic ESPRIT based on noise subspace and its performance improvement

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