DOA Estimation of Combining Time Modulated Arrays with Beamspace MUSIC Algorithm 


Vol. 45,  No. 6, pp. 951-960, Jun.  2020
10.7840/kics.2020.45.6.951


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  Abstract

DOA estimation technique has been actively studied in various areas including communications technology. Especially a MUSIC (MUltiple Signal Classification) algorithm has high resolution and has been most widely used. The MUSIC algorithm takes eigenvalue decomposition on covariance matrix of a received signal from antenna arrays and then separates the received signal into the signal subspace and the noise subspace. DOAs are estimated by using the fact that the noise subspace is orthogonal to the steering vector. However, the MUSIC algorithm has high computational complexity and thus is difficult to be installed in the receiver. In this paper, a simplified DOA estimation method combining a beamspace MUSIC with TMA (Time Modulated Arrays is presented. The proposed method reduces computational complexity with the use of a beamspace MUSIC and also can save equipment cost by using only a single RF chain in TMA.

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  Cite this article

[IEEE Style]

H. Noh, H. J. Kim, H. Kim, "DOA Estimation of Combining Time Modulated Arrays with Beamspace MUSIC Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 6, pp. 951-960, 2020. DOI: 10.7840/kics.2020.45.6.951.

[ACM Style]

Hea-Min Noh, Ho Jae Kim, and Hyoung-Nam Kim. 2020. DOA Estimation of Combining Time Modulated Arrays with Beamspace MUSIC Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 45, 6, (2020), 951-960. DOI: 10.7840/kics.2020.45.6.951.

[KICS Style]

Hea-Min Noh, Ho Jae Kim, Hyoung-Nam Kim, "DOA Estimation of Combining Time Modulated Arrays with Beamspace MUSIC Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 6, pp. 951-960, 6. 2020. (https://doi.org/10.7840/kics.2020.45.6.951)