Title :
Detecting target motion by frequency-plane smoothing
Author :
Allen, Jeffery C. ; Hobbs, Stephen L.
Author_Institution :
NRaD, San Diego, CA, USA
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;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269139