https://scholars.lib.ntu.edu.tw/handle/123456789/632112
標題: | HALF INVERTED NESTED ARRAYS WITH LARGE HOLE-FREE FOURTH-ORDER DIFFERENCE CO-ARRAYS | 作者: | Chen Y.-P CHUN-LIN LIU |
關鍵字: | direction of arrival estimation; fourth-order difference co-arrays; nested array; Sparse arrays | 公開日期: | 2022 | 卷: | 2022-May | 起(迄)頁: | 5058-5062 | 來源出版物: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 摘要: | Sparse arrays with fourth-order cumulant processing can identify up to O(N4) source directions with only N physical sensors. To achieve this property, the fourth-order difference co-array is preferable to own a contiguous segment with no holes. However, existing sparse array designs either have holes in the co-array of size O(N4) or own fewer than O(N4) elements in the hole-free co-array. This paper proposes the half inverted nested array (HINA), which consists of a nested array and an inverted, scaled, and shifted nested array. By maximizing the size of the co-array, it can be shown that HINA with the optimal parameters possesses a hole-free fourth-order difference co-array of size O(N4). Numerical examples demonstrate the improved DOA estimation performance of HINA. © 2022 IEEE |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131256219&doi=10.1109%2fICASSP43922.2022.9746771&partnerID=40&md5=b456c603f3cda72fe626020275aca5a1 https://scholars.lib.ntu.edu.tw/handle/123456789/632112 |
ISSN: | 15206149 | DOI: | 10.1109/ICASSP43922.2022.9746771 |
顯示於: | 電機工程學系 |
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