DOA estimation by MUSIC algorithm using forward-backward spatial smoothing with overlapped and augmented arrays
Toshiki Iwai, Naoki Hirose, Nobuyoshi Kikuma, Kunio Sakakibara, Hiroshi Hirayama
Abstract
Toshiki Iwai, Naoki Hirose, Nobuyoshi Kikuma, Kunio Sakakibara, Hiroshi Hirayama
Abstract
This paper proposes the forward-backward spatial smoothing with overlapped and augmented arrays (FBSSOA) to improve the conventional spatial smoothing for DOA (Direction-Of-Arrival) estimation. The computer simulation using FBSSOA with MUSIC demonstrates the effectiveness of the FBSSOA in improving the estimation accuracy and the angular resolution of MUSIC.
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This paper proposes the forward-backward spatial smoothing with overlapped and augmented arrays (FBSSOA) to improve the conventional spatial smoothing for DOA (Direction-Of-Arrival) estimation. The computer simulation using FBSSOA with MUSIC demonstrates the effectiveness of the FBSSOA in improving the estimation accuracy and the angular resolution of MUSIC.
Key concepts: Smoothing, Multiple signal classification, Computer science, Algorithm, Direction of arrival, Estimation, Image resolution, Speech recognition