A Study on the Covariance Matrix Correction of Correlation Signal for Correct Direction Estimation in Phase Mismatch

Lee, Kwan Hyeong

doi:10.1007/978-981-15-1465-4_9

Cited by 1 publication

(2 citation statements)

References 9 publications

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“…The spatial adaptive processing method is effective in the removing interference signal by applying weight to the receiver. The weight dimension is determined by the number of antenna array and the number of tap delay of each array element [11].…”

Section: Spatial Adaptive Processingmentioning

confidence: 99%

“…A temporary filtering technique is required in signal processing in order to remove a large interference signal such as broad band signal. A spatial only beamforming technique without the adaptive spatial technology can be used by increasing the signal to noise ratio to estimate a desired signal [8][9][10][11][12][13][14]. However, this technique increase a side lobe level while increase the signal to noise ratio to find the desired signal.…”

Section: Introductionmentioning

confidence: 99%

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A Study on Target Detection using Covariance Correlation Matrix of Spatial Adaptive Processing

Lee¹

2021

TURCOMAT

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In this paper, we study for direction of arrival estimation of the desired target in spatial adaptive processing system. The interference signal removed by using the optimal weight of the covariance correlation matrix in order to estimate desired target signal. The spatial adaptive processing system updates the weight of the direction of arrival algorithm to estimate the desired signal. The weight update use an adaptive algorithm such as MUSIC. The optimal weight is obtained by Lagrange multiplier and the covariance correlation matrix. The covariance correlation matrix applies signal phase matching and uses the output power spectrum of the direct of arrival algorithm to estimate the desired target direction. We compare the performance of the proposed method with the existing method by computer simulation. The existing method has poor resolution due to phase errors of 5o and -3o in the estimation of three targets [10o, 20o, 30o]. While, the method proposed in this study accurately estimated the desired three targets. This study proved that the proposed method is superior to the existing method as a result simulation result.

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Section: Spatial Adaptive Processingmentioning

confidence: 99%