講演抄録/キーワード |
講演名 |
2015-11-23 14:50
Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing ○Masanari Noto・Fang Shang・Shouhei Kidera・Tetsuo Kirimoto(UEC) SANE2015-54 |
抄録 |
(和) |
Super-resolution time of arrival (TOA) estimation techniques are strongly demanded for general radar system. As one of the most promising solution, the compressed sensing (CS) algorithm has been widely developed, which only assumes the sparseness of target existing distribution. To retain the reconstruction accuracy of CS, this paper introduces the random re-sampling and frequency domain based CS algorithms as a pre-processing. The results from numerical simulation show that our proposed method retains super resolution TOA estimation, which cannot be achieved by the original CS algorithm. |
(英) |
Super-resolution time of arrival (TOA) estimation techniques are strongly demanded for general radar system. As one of the most promising solution, the compressed sensing (CS) algorithm has been widely developed, which only assumes the sparseness of target existing distribution. To retain the reconstruction accuracy of CS, this paper introduces the random re-sampling and frequency domain based CS algorithms as a pre-processing. The results from numerical simulation show that our proposed method retains super resolution TOA estimation, which cannot be achieved by the original CS algorithm. |
キーワード |
(和) |
Super-resolution time of arrival estimation / Compressed sensing (CS) / / / / / / |
(英) |
Super-resolution time of arrival estimation / Compressed sensing (CS) / / / / / / |
文献情報 |
信学技報, vol. 115, no. 320, SANE2015-54, pp. 27-32, 2015年11月. |
資料番号 |
SANE2015-54 |
発行日 |
2015-11-16 (SANE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SANE2015-54 |