Simulating Correlated K-Distributed Clutter

被引：0

作者：

Humphreys, Ellis ^{[1
]}

Antoniou, Michael ^{[1
]}

Baker, Chris ^{[1
]}

Stafford, William ^{[2
]}

机构：

[1] Univ Birmingham, Birmingham, W Midlands, England

[2] BAE Syst, Farnborough, Hants, England

来源：

2020 IEEE INTERNATIONAL RADAR CONFERENCE (RADAR) | 2020年

关键词：

RADAR;

D O I：

10.1109/radar42522.2020.9114864

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：

A method of simulating the temporal and spatial correlation of k-distributed sea clutter has been developed. Long term correlation is simulated by interpolation and rotation of a correlation Gaussian surface which is then transformed a Gamma "texture" surface by a MNLT (Memoryless Nonlinear Transform). Short term correlation is simulated by a weighted local average. This provides a fast, flexible means of generating realistic correlated K-distributed data (both IQ and amplitude).

引用

页码：671 / 676

页数：6

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