Robust DOA Estimation Based on an Exponential Hyperbolic Cosine Adaptive Algorithm

被引：10

作者：

Joel, S. ^{[1
]}

Kumar, Krishna ^{[1
]}

George, Nithin V. ^{[1
]}

机构：

[1] Indian Inst Technol Gandhinagar, Dept Elect Engn, Gandhinagar 382355, India

来源：

IEEE SENSORS LETTERS | 2023年 / 7卷 / 05期

关键词：

Estimation; Direction-of-arrival estimation; Cost function; Signal processing algorithms; Approximation algorithms; Computational complexity; Adaptive arrays; Sensor signal processing; adaptive filtering; alpha-stable noise; array signal processing; exponential hyperbolic cosine function (EHCF); robust direction-of-arrival (DOA) estimation; OF-ARRIVAL ESTIMATION; MAXIMUM-LIKELIHOOD; FILTERS; ARRAY; MUSIC; NOISE;

D O I：

10.1109/LSENS.2023.3267784

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Direction-of-arrival (DOA) estimation methods based on conventional adaptive signal processing are not robust to outliers. A robust DOA estimation technique based on an exponential hyperbolic cosine function under such situations is proposed in this letter. To further enhance the performance of the proposed approach, a variable scale parameter strategy has been incorporated into the proposed scheme. The new methods have been shown to offer improved and robust DOA estimation performance.

引用

页数：4

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