Performance analyses of the power-domain kernel adaptive locally optimum processor (ALOP) against interference waveforms with continuous power density

Author

Schmidt, Hank ; Bond, James W.

Author_Institution

Technology Service Corp., Silver Spring, MD, USA

Volume

1

fYear

1997

Firstpage

79

Abstract

The power kernel adaptive locally optimal processor (ALOP) is an implementation of non-linear locally optimum detection in the presence of non-Gaussian noise using a kernel estimation technique to model the noise power density function. Methods of analyzing the expected performance of this algorithm are developed for a class of noise processes with continuous power density functions. These methods are used to illustrate the performance and the parameter tradeoffs that can be made with the power kernel ALOP

Keywords

adaptive signal detection; adaptive signal processing; interference suppression; noise; parameter estimation; adaptive locally optimum processor; algorithm; continuous power density; interference suppression; interference waveforms; kernel estimation; noise power density function; noise processes; nonGaussian noise; nonlinear locally optimum detection; parameter tradeoffs; performance; power-domain kernel; Adaptive signal detection; Approximation algorithms; Density functional theory; Interference suppression; Kernel; Performance analysis; Performance gain; Signal processing; Signal processing algorithms; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 97 Proceedings

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4249-6

Type

conf

DOI

10.1109/MILCOM.1997.648672

Filename

648672