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| 2025-10-17JST13:53:59 Recommended | Recommended |
| 2025-10-17JST13:48:57 my name is tarot | my name is tarot |
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| 2025-10-17JST13:48:53 猿の惑星 なんj | 猿の惑星 なんj |
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| 2025-10-17JST13:48:26 This paper deals with joint carrier frequency offset (CFO) and direction of arrival (DOA) estimation based on estimation of signal parameters via rotational invariance technique (ESPRIT) with computational efficiency in interleaved orthogonal frequency division multiple access (OFDMA)/space division multiple access (SDMA) uplink systems. Conventional ESPRIT relies on eigenvalue decomposition (EVD) of the autocorrelation matrix to compute the signal subspace. For interleaved OFDMA/SDMA with large subchannels or antennas, it inevitably leads to intensive computational complexity due to both calculating autocorrelation matrix and performing EVD of autocorrelation matrix. In addition, it also requires pairing of CFO and DOA and increases the computational burden. In order to circumvent these problems, the proposed method utilizes the Nyström-based technique to correctly compute the signal subspace which only needs to compute two submatrices of autocorrelation matrix. Meanwhile, this paper also presents an angular spread estimate method to improve the DOA estimation accuracy. With the general array manifold (GAM) model, the nominal DOAs are first separated from the original array manifold. Next, the angular spreads are computed from the central moments of the angular distribution in closed-form. Then, the interrelationship between the two one-dimensional ESPRIT is utilized to obtain automatically paired CFO and DOA. Simulation results verify the effectiveness of proposed method. | This paper deals with joint carrier frequency offset (CFO) and direction of arrival (DOA) estimation based on estimation of signal parameters via rotational invariance technique (ESPRIT) with computational efficiency in interleaved orthogonal frequency division multiple access (OFDMA)/space division multiple access (SDMA) uplink systems. Conventional ESPRIT relies on eigenvalue decomposition (EVD) of the autocorrelation matrix to compute the signal subspace. For interleaved OFDMA/SDMA with large subchannels or antennas, it inevitably leads to intensive computational complexity due to both calculating autocorrelation matrix and performing EVD of autocorrelation matrix. In addition, it also requires pairing of CFO and DOA and increases the computational burden. In order to circumvent these problems, the proposed method utilizes the Nyström-based technique to correctly compute the signal subspace which only needs to compute two submatrices of autocorrelation matrix. Meanwhile, this paper also presents an angular spread estimate method to improve the DOA estimation accuracy. With the general array manifold (GAM) model, the nominal DOAs are first separated from the original array manifold. Next, the angular spreads are computed from the central moments of the angular distribution in closed-form. Then, the interrelationship between the two one-dimensional ESPRIT is utilized to obtain automatically paired CFO and DOA. Simulation results verify the effectiveness of proposed method. |
