Blind Source Signal Separation and Retrieval

盲源信号分离与检索

• 批准号: 11650427
• 负责人: INOUYE Yujiro
• 金额: $ 2.3万
• 依托单位: Shimane University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11650427/
• 关键词: Blind Equalization; Blind Retrieval; Equalizers; Statistical Approach; Data Communication; Wide Band; Multiple Access; Multichannel; ブラインド復元; 広帯域

Recently, with the rapid development of high-speed digital computers, it is practically possible to processing a huge size of data all at once. In this research, we considered blind deconvolution ( or blind equalization) of a discrete-time linear channel system driven by multiple source signals using the second-order and/or the fourth-order cumulants of the output signals. We proposed several procedures for designing equalizers and investigated the effectiveness of the proposed procedures through digital simulations.Roughly speaking, there are two approaches to design equalizers.(1) The first approach is to blindly identify the channel system from the channel outputs and then to design an equalizer accordingly.(2) The second approach is directly to design an equalizer from the equalizer outputs.The second approach is called the direct approach, which is preferable, because it bypasses the process of blind system identification, and also bypasses the order estimation of the channel system. We devoted ourselves to take the direct approach in this research.We proposed new criteria for solving the blind deconvolution problem. Base on these criteria, we developed iterative algorithms for attaining blind deconvolution, and then we investigated the effectiveness of the proposed algorithms through digital simulations.Moreover, we established a system-theoretical foundation for the blind deconvolution of an FIR channel system. In this fundamental setting, we showed that every equalizable channel system has an FIR irredusible-paraunitary factorization. Based on this fact, we showed that any equalizable channel system can be reduced to a paraunitary FIR systemby a filter called a whitener. We believe that the system-theoretical foundation gives us a principle for designing futther advanced equalizers.

近年来，随着高速数字计算机的快速发展，一次性处理大量数据实际上已经成为可能。在本研究中，我们考虑使用输出信号的二阶和/或四阶累积量对由多个源信号驱动的离散时间线性通道系统进行盲解卷积（或盲均衡）。我们提出了几种设计均衡器的程序，并通过数字仿真研究了所提出程序的有效性。粗略地说，有两种设计均衡器的方法。(1)第一种方法是从通道输出中盲识别通道系统，然后相应地设计均衡器。(2)第二种方法是直接从均衡器输出中设计均衡器。第二种方法称为直接方法，这是更好的方法，因为它绕过了盲系统的过程。 识别，并且还绕过了信道系统的阶次估计。我们在这项研究中致力于采取直接方法。我们提出了解决盲反卷积问题的新标准。基于这些标准，我们开发了实现盲反卷积的迭代算法，然后通过数字仿真研究了所提出算法的有效性。此外，我们为FIR通道系统的盲反卷积奠定了系统理论基础。在这个基本设置中，我们证明了每个可均衡通道系统都具有 FIR 不可复次次元分解。基于这一事实，我们表明任何可均衡通道系统都可以通过称为白化器的滤波器简化为准酉 FIR 系统。我们相信系统理论基础为我们提供了设计更先进均衡器的原则。

项目成果

Y.Inouye and R.Liu: "A System-Theoretic Foundation for Blind Equalization of an FIR MIMO Channel System"accepted for publication in IEEE Trans. on Circuits and Systems. (2000)

Y.Inouye 和 R.Liu：“FIR MIMO 信道系统盲均衡的系统理论基础”接受 IEEE Trans 发表。

Y.Inouye and T.Sato: "Iterative Algorithms Based on Multistage Criteria for Multichannel Blind Deconvolution"IEEE Trans.on Signal Processing. 47巻6号. 1759-1764 (1999)

Y.Inouye 和 T.Sato：“基于多通道盲解卷积的多级标准的迭代算法”IEEE Trans.on 信号处理，第 47 卷，第 6 期。1759-1764 (1999)

Y.Inouye and R.Liu: "Criteria for Direct Blind Deconvolution of MIMIFIR Systems Driven by White Source Signals"Pro.IEEE Int.Conf.on Acoust.,Speech and Signal Processing. 5巻. 2889-2892 (1999)

Y. Inouye 和 R. Liu：“白源信号驱动的 MIMIFIR 系统的标准”Pro. IEEE Int.，语音和信号处理。

Y.Inouye and R.Liu: "Direct Blind Deconvolution of FIR Multiple-Input Multiple-Output Systems"Proc. 31st ISCIE Int.Sympos. on Stochastic Systems Theory and Its Applications, Yokohama, Japan. 175-180 (1999)

Y.Inouye 和 R.Liu：“FIR 多输入多输出系统的直接盲解卷积”Proc。

Y.Inouye and R.Liu: "Direct Blind Deconvolution of FIR Multiple-Input Multiple-Output Systems"Proc.31st ISCIE Int.Sympos.on Stochastic Systems Theory and Its Applications. 175-180 (1999)

Y.Inouye 和 R.Liu：“FIR 多输入多输出系统的直接盲解卷积”Proc.31st ISCIE Int.Sympos.on 随机系统理论及其应用。