Partially adaptive array algorithm combined with CFAR technique in transform domain

Sung Hoon Moon, Dong Hyun Yu, Dong Seog Han

Research output: Contribution to conferencePaperpeer-review

Abstract

A frequency domain partially adaptive algorithm, called a censoring adaptive array (CAA) algorithm, is proposed to reduce the computational complexity of a frequency domain adaptive array. The CAA algorithm uses a cell averaging constant false alarm rate (CA-CFAR) processor to adapt only those weights that correspond to the frequency bins expected to contain interferences. The false alarm rate also adapts according to the environment. Furthermore, a censoring spatial smoothing is proposed to combine the CAA algorithm with a spatial smoothing technique. The performances of the proposed algorithms are compared with conventional algorithms using computer simulation.

Original languageEnglish
Pages439-443
Number of pages5
StatePublished - 2000
EventProceedings of the 10th IEEE Workshop on Statiscal and Array Processing - Pennsylvania, PA, USA
Duration: 14 Aug 200016 Aug 2000

Conference

ConferenceProceedings of the 10th IEEE Workshop on Statiscal and Array Processing
CityPennsylvania, PA, USA
Period14/08/0016/08/00

Fingerprint

Dive into the research topics of 'Partially adaptive array algorithm combined with CFAR technique in transform domain'. Together they form a unique fingerprint.

Cite this