DocumentCode
1585567
Title
Detecting target motion by frequency-plane smoothing
Author
Allen, Jeffery C. ; Hobbs, Stephen L.
Author_Institution
NRaD, San Diego, CA, USA
fYear
1992
Firstpage
1042
Abstract
The technique of diagonal smoothing, which provides a consistent estimator of the two-dimensional spectrum for a harmonizable, periodically correlated (PC) random process, is extended to radial and Doppler smoothing to produce consistent estimators for the two-dimensional cross-spectrum of sensor outputs receiving a signal from a moving target. Simulations are presented to illustrate both the radial and the Doppler smoothing techniques. Since the diagonal smoothing readily adapts to produce cross-spectral estimators for sensor outputs governed by the linear motion model and consistent spectral estimation of almost PC processes, it is conjectured that radial and Doppler smoothing estimators will apply to these more general random processes
Keywords
Doppler effect; correlation methods; filtering and prediction theory; motion estimation; radar theory; random processes; Doppler smoothing; cross-spectrum; diagonal smoothing; frequency-plane smoothing; harmonisable processes; linear motion model; moving target; periodically correlated random processes; radial smoothing; spectral estimation; target motion detection; two-dimensional spectrum; Fourier transforms; Frequency; Motion detection; Motion estimation; Noise generators; Power measurement; Random processes; Signal generators; Smoothing methods; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-3160-0
Type
conf
DOI
10.1109/ACSSC.1992.269139
Filename
269139
Link To Document