DOA estimation for uncorrelated and coherent signals in non-stationary noise environments

被引：1

作者：

Gholipour, Atefeh ^{[1
]}

Zakeri, Bijan ^{[2
]}

Mafinezhad, Khalil ^{[1
]}

机构：

[1] Ferdowsi Univ Mashhad, Dept Elect Engn, Mashhad, Razavi Khorasan, Iran

[2] Babol Noshirvani Univ Technol, Dept Elect & Comp Engn, Babol Sar, Iran

来源：

INTERNATIONAL JOURNAL OF ELECTRONICS | 2020年 / 107卷 / 01期

关键词：

Direction-of-arrival (DOA) estimation; nonstationary noise; multipath environment; Cramer-Rao Lower Bound (CRLB); Generalised Autoregressive Conditional Heteroskedasticity (GARCH); OF-ARRIVAL ESTIMATION; ESPRIT; LOCALIZATION; MULTIPATH;

D O I：

10.1080/00207217.2019.1636309

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：

In this paper, a new method, namely double spatial covariance difference (DSCD), is presented for DOA estimation of uncorrelated and coherent signals in time varying noise environments. In the proposed method, the effect of the noise is eliminated and therefore DSCD can be used in general noise, as well as low SNR environments. In addition, computational burden has been reduced regarding to no use of parameter and peak search or iterative calculation. Simulation results demonstrate the performance of the proposed method.

引用

页码：141 / 156

页数：16

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