基本信息:
- 专利标题： ADAPTIVE NONLINEAR MODEL LEARNING
- 专利标题（中）：自适应非线性模型学习
- 申请号：PCT/IB2014/002688 申请日：2014-09-09
- 公开(公告)号：WO2015033232A2 公开(公告)日：2015-03-12
- 发明人： ELIAZ, Amir , REUVEN, Ilan , PITARASHO, Gal
- 申请人： MAGNACOM LTD.
- 申请人地址： 128 73115 Moshav Ben Shemen IL
- 专利权人： MAGNACOM LTD.
- 当前专利权人： MAGNACOM LTD.
- 当前专利权人地址： 128 73115 Moshav Ben Shemen IL
- 优先权： US61/875,174 20130909
摘要：
In accordance with an example implementation of this disclosure, a receiver may comprise a signal reconstruction circuit and a nonlinearity modeling circuit. The nonlinearity modeling circuit may be operable to generate a look-up table (LUT)-based model of nonlinear distortion present in a received signal. An entry of the LUT may comprise a signal power parameter value and a distortion parameter value. The signal reconstruction circuit may be operable to generate one or more candidates for a transmitted signal corresponding to the received signal. The signal reconstruction circuit may be operable to distort the one or more candidates according to the model, the distortion resulting in one or more reconstructed signals. The signal reconstruction circuit may be operable to decide a best one of the candidates based on the one or more reconstructed signals.
摘要（中）：
根据本公开的示例性实现，接收机可以包括信号重建电路和非线性建模电路。 非线性建模电路可以用于产生在接收信号中存在的非线性失真的查找表（LUT）模型。 LUT的条目可以包括信号功率参数值和失真参数值。 信号重构电路可以用于为对应于接收信号的发射信号产生一个或多个候选。 信号重构电路可以用于根据模型使一个或多个候选者失真，导致一个或多个重构信号的失真。 信号重建电路可以用于基于一个或多个重建信号来决定候选中的最佳候选。