DocumentCode :
2585798
Title :
On model identification for distortion correction of OTH radar signals
Author :
Anderson, S.J. ; Godfrey, S.E. ; Voigt, S.M.
Author_Institution :
HF Radar Div., DSTO, Salisbury, SA, Australia
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
When HF skywave radars are employed for missions where high Doppler resolution is required, such as ship detection or remote sensing of the sea surface, nonstationarity of the ionospheric propagation channel within the coherent integration period often occurs to the extent that the Doppler spectrum is corrupted and the mission is unsuccessful. To overcome this problem, various signal processing techniques have been developed to maximise the detection probability and estimation accuracy. In the best-known methods, the nonstationarity is modelled as a smooth but nonlinear variation of the phase path, which is then estimated from one or more peaks in the power spectrum and removed by conjugate demodulation. We outline some extensions to the process of phase modulation distortion correction, based on a more elaborate model of the distortion process, to overcome some of the limitations of the previous approach
Keywords :
HF radio propagation; ionospheric electromagnetic wave propagation; phase modulation; radar detection; radar signal processing; Doppler resolution; Doppler spectrum; HF skywave radar; OTH radar signals; coherent integration period; conjugate demodulation; detection probability; estimation accuracy; ionospheric propagation channel; model identification; nonstationarity; phase modulation distortion correction; power spectrum; remote sensing; sea surface; ship detection; signal processing techniques; Doppler radar; Hafnium; Marine vehicles; Nonlinear distortion; Phase distortion; Radar detection; Radar remote sensing; Remote sensing; Sea surface; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389923
Filename :
389923
Link To Document :
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