Low-Complexity Implementation of a Data-Reuse RLS Algorithm

被引：2
|
作者：
Ficiu, Ionut-Dorinel [1 ]
Stanciu, Cristian-Lucian [1 ]
Elisei-Iliescu, Camelia [1 ]
Anghel, Cristian [1 ]
Udrea, Radu-Mihnea [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Telecommun, Bucharest, Romania
来源：
2022 45TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING, TSP | 2022年
关键词：
adaptive algorithms; data-reuse; recursive leastsquares (RLS); tracking speed; FILTERS;
D O I：
10.1109/TSP55681.2022.9851293
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The recursive least-squares (RLS) family of adaptive algorithms is an attractive solution for adaptive systems due to their capacity of mitigating the correlation of input signals. The associated forgetting factor parameter is used to compromise between convergence speed/tracking and accuracy. This paper proposes a data-reuse methodology for a low-complexity RLS adaptive algorithm based on the dichotomous coordinate descent iterations, which offers improved tracking performances and an acceptable overall arithmetic workload, suitable for hardware implementations.
引用
收藏
页码：289 / 293
页数：5
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