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1. 发明申请

WO2008094858A1 METHOD AND SYSTEM FOR WIRELESS DESIGN SUBJECT TO INTERFERENCE CONSTRAINTS 审中-公开
标题翻译：用于干扰约束的无线设计的方法和系统
公开(公告)号：WO2008094858A1
公开(公告)日：2008-08-07
申请号：PCT/US2008/052186
申请日：2008-01-28
申请人： NTT DOCOMO INC. , PINTO, Pedro, C. , WIN, Moe Z. , WATANABE, Fujio , INAMURA, Hiroshi
发明人： PINTO, Pedro, C. , WIN, Moe Z. , WATANABE, Fujio , INAMURA, Hiroshi
IPC分类号： H04L12/26
CPC分类号： H04W16/22
摘要： A wireless communication system experience interference from other wireless communication networks. A method for designing wireless communication systems subject to interference is proposed based on a realistic interference model which accounts for the propagation effects introduced by the wireless environment (such as path loss, shadowing, and multipath fading), and for the spatial scattering of transmitters (using a Poisson field). The method accounts for tradeoffs between network parameters, such as signal-to-noise ratio (SNR), interference-to-noise ratio (INR), path loss exponent, spatial density of the interferers, and error probability. Advantages of this method include: 1) a unified framework for designing a wireless system, subject to cumulative interference and noise, incorporating a wide range of performance metrics; and 2) a general application that covers a broad class of wireless communication systems and channel fading distributions.
摘要翻译：无线通信系统经受来自其他无线通信网络的干扰。提出了一种用于设计受干扰的无线通信系统的方法，该实际干扰模型考虑了由无线环境引入的传播效应（如路径损耗，阴影和多径衰落）以及发射机的空间散射（使用泊松场）。该方法考虑了网络参数之间的折衷，如信噪比（SNR），干扰信噪比（INR），路径损耗指数，干扰源的空间密度和误差概率。该方法的优点包括：1）设计无线系统的统一框架，受到累积干扰和噪声的影响，并结合广泛的性能指标; 和2）涵盖广泛类别的无线通信系统和信道衰落分布的通用应用。

2. 发明申请

WO2012166757A2 TRACKING A BODY BY NONLINEAR AND NON-GAUSSIAN PARAMETRIC FILTERING 审中-公开
标题翻译：通过非线性和非GAUSSIAN参数滤波跟踪身体
公开(公告)号：WO2012166757A2
公开(公告)日：2012-12-06
申请号：PCT/US2012/039918
申请日：2012-05-30
申请人： MASSACHUSETTS INSTITUTE OF TECHNOLOGY , WIN, Moe Z. , MAZUELAS, Santiago , SHEN, Yuan
发明人： WIN, Moe Z. , MAZUELAS, Santiago , SHEN, Yuan
IPC分类号： G06F17/00
CPC分类号： G01C21/206 , G01C21/165 , G01S5/0278 , G01S19/45 , G01S19/47
摘要： A general framework for parametric filters is based on belief condensation (BC), which can cope with highly nonlinear and non-Gaussian system models. The methodology exploits the specific structure of the problem and decomposes it in such a way that the linear and Gaussian part can be solved in closed form, while the remaining parts are addressed by an optimization process, referred to as BC. Simulation results show that the performance of the proposed BC filter is close to that of the particle filter, but with a much lower complexity.
摘要翻译：参数滤波器的一般框架基于信念冷凝（BC），可以应对高度非线性和非高斯系统模型。该方法利用了问题的具体结构，并将其分解成线性高斯部分可以以封闭形式解决，而其余部分则通过称为BC的优化过程来解决。仿真结果表明，提出的BC滤波器的性能接近于粒子滤波器的性能，但复杂度要低得多。

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