Tracking Analysis of Maximum Versoria Criterion Based Adaptive Filter

被引:0
作者
Khalili, Azam [1 ]
Rastegarnia, Amir [1 ]
Farzamnia, Ali [2 ]
Sanei, Saeid [3 ]
Alghamdi, Thamer A. H. [4 ,5 ]
机构
[1] Malayer Univ, Dept Elect Engn, Malayer 6571995863, Iran
[2] Univ Malaysia Sabah, Fac Engn, Kota Kinabalu 88400, Malaysia
[3] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[4] Al Baha Univ, Fac Engn, Comp Engn Dept, Al Bahah 65779, Saudi Arabia
[5] Cardiff Univ, Wolfson Ctr Magnet, Sch Engn, Cardiff CF24 3AA, England
关键词
Adaptive filters; Steady-state; Filtering algorithms; Cost function; Information filters; Symbols; Gaussian noise; Robustness; Performance analysis; Tracking; Adaptive filter; non-stationary; performance analysis; tracking; Versoria; RISK-SENSITIVE LOSS; STEADY-STATE; CORRENTROPY; ALGORITHM;
D O I
10.1109/ACCESS.2024.3370471
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, maximum Versoria criterion-based adaptive algorithms have been introduced as a new solution for robust adaptive filtering. This paper studies the steady-state tracking analysis of an adaptive filter with maximum Versoria criterion (MVC) in a non-stationary (Markov time-varying) system. Our analysis relies on the energy conservation method. Both Gaussian and general non-Gaussian noise are considered, and for both cases, the closed-form expression for steady-state excess mean square error (EMSE) is derived. Regardless of noise type, unlike the stationary environment, the EMSE curves are not increasing functions of step-size parameter. The validity of the theoretical results is justified via simulation.
引用
收藏
页码:30747 / 30753
页数:7
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