A STUDY ON FAST CONVERGENCE BLIND ADAPTIVE EQUALIZER WITH FRACTIONAL TAP SPACE

分数阶抽头空间快速收敛盲自适应均衡器的研究

• 批准号: 10650374
• 负责人: OCHI Hiroshi
• 金额: $ 2.18万
• 依托单位: KYUSHU INSTITUTE OF TECHNOLOGY (1999)University of the Ryukyus (1998)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 1999
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10650374/
• 关键词: BLIND SYSTEM IDENTIFICATION; ADAPTIVE FILTER; NOISE ROBUST; LMS ALGORITHM

In recent telecommunication systems, signal equalization is essential and necessary technique to achieve fast bit rate. In order to make it possible, blind equalization techniques, which do not need any training signals, are gathering a lot of attention and demand. In this paper, we propose a novel blind system identification scheme which is robust for additive noise. The proposed algorithm can carry out blind system identification even if there is no statistical information in terms of noise signals as far as it is uncorrelated. In addition, gradient type adaptive algorithm, which is not available in conventional schemes, is also derived and then some computer simulations are shown in order to show the effectiveness of the proposed method.

在现代通信系统中，信号均衡是实现高比特率必不可少的技术。为了使其成为可能，不需要任何训练信号的盲均衡技术正引起人们的极大关注和需求。本文提出了一种新的对加性噪声具有鲁棒性的盲系统辨识方法。在噪声信号不相关的情况下，即使没有统计信息，该算法也能进行盲系统辨识。此外，还推导了传统方法所不具备的梯度型自适应算法，并进行了计算机仿真，验证了该方法的有效性。

项目成果

Mirai Oshiro, Hiroshi Ochi: "Noise Robust Blind System Identification Using Second Order Statistics"Asilomar conference, Oct. (1999)

Mirai Oshiro、Hiroshi Ochi：“使用二阶统计的噪声鲁棒盲系统识别”Asilomar 会议，10 月（1999 年）

比嘉良人他: "QAM信号の等化が可能な2次統計量を用いる勾配型ブラインド等化アルゴリズム"信学技報. DSP98-165. 29-34 (1999)

Yoshito Higa 等人：“使用二次统计的梯度盲均衡算法可以均衡 QAM 信号” DSP98-165 (1999)。

Y.Higa,H.OCHI: "A Gradient Type Algorithm for Blind System Identification and Equalizer Based on SOS" Proc.of Globecom. S133.4(発表予定). (1999)

Y.Higa，H.OCHI：“基于 SOS 的盲系统识别和均衡器的梯度型算法”Proc of Globecom S133.4（待公布）。

Mirai Oshiro, Hiroshi Ochi: "Noise Robust Blind System Identification Using Second Order Statistics"TENCON99, Sept.. 1205-1208 (1999)

Mirai Oshiro、Hiroshi Ochi：“使用二阶统计的噪声鲁棒盲系统识别”TENCON99，九月 1205-1208 (1999)

比嘉良人他: "QAM信号の等化が可能な2次統計量を用いる公配型ブラインド等化アルゴリズム" 信学技報. DSP98-165. 29-34 (1999)

Yoshito Higa 等人：“使用可均衡 QAM 信号的二次统计的公共分布式盲均衡算法” DSP98-165 (1999)。