On the potential applicability of auto-regressive spectral estimation to HF chirp sounders

Physics

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Scientific paper

A major limitation of HF chirp sounders is the use of fast Fourier transform (FFT) analysis to resolve the different multipath components. To reduce the effects of spectral leakage associated with the FFT, the signal is usually weighted by a suitable window prior to spectral analysis. For negligible frequency dispersion, multipath resolution including the two magneto-ionic waves is determined by the width of the mainlobe of the window function whereas, for large frequency dispersion, the use of window functions improves the resolution of multipath. Modern spectral estimation techniques such as auto-regressive (AR) modelling offer higher resolution capabilities which are only limited by the signal to noise ratio. This paper discusses the required stages for both FFT analysis and AR analysis. The results of applying both techniques to ionospheric data obtained over a short skywave link in the U.K. are presented. These include distributions for the 6 dB width, group time delay and order of the AR model. The resolution advantage of the AR method is demonstrated by ionograms.

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