@article{oai:jaxa.repo.nii.ac.jp:00022501,
 author = {円尾, 晃一 and 嶋村, 重治 and 吉川, 栄一 and 吉田, 智 and 牛尾, 知雄 and 水谷, 文彦 and 佐藤, 晋介 and Maruo, Kouichi and Shimamura, Shigeharu and Yoshikawa, Eiichi and Yoshida, Satoru and Ushio, Tomoo and Mizutani, Fumihiko and Satoh, Shinsuke},
 issue = {4},
 journal = {電気学会論文誌. A, 基礎・材料・共通部門誌, The transactions of the Institute of Electrical Engineers of Japan. A, A publication of Fundamentals and Materials Society},
 month = {Apr},
 note = {We have been developing the Phased Array Weather Radar (PAR) which detects small scale phenomena such as tornadoes and downbursts. PAR is installed on the 13th floor rooftop of a building in Suita Campus, Osaka University, Osaka, Japan. In this paper, we compare Beam Former method (BF), which is a conventional method in Digital Beam Forming signal processing of array antenna, with Minimum Mean Square Error method (MMSE), which is our proposed method, and discuss simulation results and observation results estimated by each method. In BF, antenna pattern is uniform and unique in the radar system, and its sidelobe level is high. As a result, if there are obstacles, for example high building, or very heavy rain area, the observation results of array antenna are imprecision in the region near them. In contrast, we can turn the null-point to interference wave direction at the same time we turn the mainlobe to the desired signal direction in MMSE. As a result of estimating observation results by each method and comparing each result, we can reduce the influence of clutter by almost 20dBZ., 資料番号: PA1420059000},
 pages = {197--203},
 title = {気象用フェーズドアレイレーダにおける最小二乗平均誤差法を用いたクラッタエコー低減の観測的検討},
 volume = {134},
 year = {2014}
}