volume | PIER Journals

Abstract

To solve the problem of low accuracy and real-time performance of direction of arrival (DOA) estimation in an impulsive noise environment, this paper proposes a single-snapshot DOA estimation method based on the median deviation correntropy of hyperbolic tangent kerne and designs an intelligent optimization algorithm for the segmentation and hunting mechanism of gold long-nosed raccoon to obtain accurate DOA estimation angle. The DOA estimation method proposed in this paper uses spatial smoothing technology to process the median deviation correntropy of single snapshot data, and then uses the hyperbolic tangent kernel to remove impulse noise from the pseudo-covariance matrix. The weighted signal subspace fitting method is used to obtain the accurate DOA estimation angle. The Monte Carlo analysis experiments of different schemes are verified, especially in the case of a single snapshot, low generalized signal-to-noise ratio (GSNR), and strong impulse noise.

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Dr. Hongyuan Gao

Dr. Kailong Liu

Dr. Ying Guo