Efficiency Improvement for Path Detection and Tracking Algorithm in a Time-Varying Channel
Efficiency Improvement for Path Detection and Tracking Algorithm in a Time-Varying Channel
复制标题
时变信道中路径检测与跟踪算法的效率提升
DOI：
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发表时间：
2015
期刊：
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通讯作者：
A. Molisch
中科院分区：
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作者：
Rui Wang;Olivier Renaudin;Ricardo M. Bernas;A. Molisch
本文回顾了多输入多输出(MIMO)系统的信道参数估计和跟踪问题。由于信道参数的初始化一直被认为是一个计算复杂的问题，我们开发了一种新的参数初始化方法，该方法利用了信道测量数据结构的性质。对于中型或大型问题，参数初始化的运行时加速超过500倍。结果表明，与传统的初始化方法相比，当测量数据或搜索网格的维度增加时，新的初始化方法的运行时间增长要慢得多。
This paper revisits estimation and tracking of channel parameters of multiple-input multiple-output (MIMO) systems. Since initialization of channel parameters has always been regarded as a computationally complex problem, we develop a new parameter initialization method that exploits the nature of the data structure of channel measurements. For medium or large problems it leads to a more than 500 times runtime acceleration for parameter initialization. We show that the runtime of the new initialization method increases much more slowly compared with that of the traditional initialization method when the dimensions of measurement data or search grids grow.