A partitioned adaptive approach to nonlinear channel equalization

Lainiotis D.G.; Papaparaskeva P.

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A partitioned adaptive approach to nonlinear channel equalization

机译：非线性信道均衡的分区自适应方法

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The problem of identifying digital transmitted symbols over nonlinear communication channels is addressed. The equalization scenario is considered from the decision point of view, and constitutes a joint identification and estimation situation due to incomplete knowledge of the system model. A new class of multilinearization algorithms for nonlinear systems is derived according to partitioning theory concepts. The procedure targets on adaptively selecting the best reference points for linearization from an ensemble of generated trajectories that span the whole state space of the desired signal. In the various simulations examined, the partitioned-based equalizer is found superior to the classical extended Kalman filter.

机译：解决了在非线性通信信道上识别数字传输符号的问题。从决策角度考虑均衡方案，由于对系统模型的了解不充分，因此构成了联合识别和估计情况。根据划分理论的概念，推导了一类用于非线性系统的新型多线性化算法。该过程的目标是从跨越所需信号整个状态空间的生成轨迹的集合中自适应地选择最佳的线性参考点。在检查的各种模拟中，发现基于分区的均衡器优于经典的扩展卡尔曼滤波器。

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《IEEE Transactions on Communications》 |1998年第10期|P.1325-1336|共12页
作者
Lainiotis D.G.; Papaparaskeva P.;
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正文语种 eng
中图分类无线电电子学、电信技术;
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A partitioned adaptive approach to nonlinear channel equalization

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