Performance prediction in adaptive noise radar

Author

Rigling, Brian D.

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

Volume

1

fYear

2004

fDate

7-10 Nov. 2004

Firstpage

3

Abstract

In continuous wave noise radar, pseudopulse compression is typically accomplished through a simple cross-correlation of received and reference signals. We consider the use of adaptive filtering algorithms in pseudopulse compression for air-to-ground noise radar. We compare the SNR performance of simple cross-correlation, cross-correlation with signal whitening and channel estimation via the LMS algorithm. The LMS algorithm was found to provide performance equivalent to the whitened cross-correlation with the same computational complexity as simple cross-correlation.

Keywords

CW radar; adaptive filters; adaptive radar; channel estimation; correlation theory; least mean squares methods; prediction theory; pulse compression; LMS algorithm; adaptive filtering algorithm; air-to-ground adaptive noise radar; channel estimation; continuous wave noise radar; cross-correlation; performance prediction; pseudopulse compression; signal whitening; Correlators; Costs; Layout; Least squares approximation; Radar; Radio frequency; Radio transmitters; Receivers; Signal to noise ratio; Unmanned aerial vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on

Print_ISBN

0-7803-8622-1

Type

conf

DOI

10.1109/ACSSC.2004.1399074

Filename

1399074