Estimation of transition range bin in clutter edge for space time adaptive processing

Author

Tang, Bo ; Tang, Jun ; Peng, Yingning ; Lu, Junjiang

Author_Institution

Nat. Key Lab. of Inf. Control Technol. for Commun. Syst. of China, China

Volume

1

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

688

Lastpage

691

Abstract

In this paper, clutter suppression and target detection in clutter edge is discussed. Firstly the statistical model of the clutter edge is established, based on which maximum likelihood estimation for the transition range bin of the clutter edge is derived. Simulations illustrate that by carefully choosing the secondary samples based on the estimation result of the transition range bin, the signal to inference plus noise ratio (SINR) can be improved significantly.

Keywords

clutter; maximum likelihood estimation; object detection; space-time adaptive processing; clutter edge; clutter suppression; maximum likelihood estimation; secondary samples; signal to inference plus noise ratio; space time adaptive processing; statistical model; target detection; transition range bin estimation; Clutter; Covariance matrix; Estimation; Frequency estimation; Image edge detection; Signal to noise ratio; Space time adaptive processing (STAP); clutter edge; estimation of the transition range bin;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar (Radar), 2011 IEEE CIE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8444-7

Type

conf

DOI

10.1109/CIE-Radar.2011.6159634

Filename

6159634