Coherent integration loss due to white Gaussian phase noise

Author

Richards, Mark A.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

10

Issue

7

fYear

2003

fDate

7/1/2003 12:00:00 AM

Firstpage

208

Lastpage

210

Abstract

We develop a simple analytic expression for the change in coherent weighted integration gain due to a white Gaussian error or noise in the phase of the integrated samples. Our expression is shown by simulation to be very accurate for any reasonable value of phase noise standard deviation. The result is useful in estimating the performance impact on coherent signal processing systems of oscillator noise, residual motion compensation errors, and other system imperfections that are manifested primarily as phase errors.

Keywords

Gaussian noise; Monte Carlo methods; phase noise; signal sampling; white noise; Monte Carlo simulation; coherent integration loss; coherent signal processing systems; coherent weighted integration gain; integrated samples; oscillator noise; performance; phase noise standard deviation; residual motion compensation errors; white Gaussian error; white Gaussian phase noise; Clutter; Gaussian noise; Motion estimation; Oscillators; Phase estimation; Phase measurement; Phase noise; Radar; Random variables; Sonar measurements;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2003.811589

Filename

1203785