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Titel |
Comparison of the performance of different radar pulse compression techniques in an incoherent scatter radar measurement |
VerfasserIn |
B. Damtie, M. S. Lehtinen |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
0992-7689
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Digitales Dokument |
URL |
Erschienen |
In: Annales Geophysicae ; 27, no. 2 ; Nr. 27, no. 2 (2009-02-17), S.797-806 |
Datensatznummer |
250016414
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Publikation (Nr.) |
copernicus.org/angeo-27-797-2009.pdf |
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Zusammenfassung |
Improving an estimate of
an incoherent scatter radar signal is vital to provide reliable and unbiased information about the Earth's ionosphere.
Thus optimizing the measurement spatial and temporal resolutions has attracted
considerable attention. The optimization usually relies on
employing different kinds of pulse compression filters in the analysis and a matched filter is perhaps the
most widely used one.
A mismatched filter has also been used in order to suppress the undesirable
sidelobes that appear in the case of matched filtering. Moreover, recently an
adaptive pulse compression method, which can be derived based on the minimum
mean-square error estimate, has been proposed. In this paper we have
investigated the performance of matched, mismatched and adaptive pulse
compression methods in terms of the output signal-to-noise ratio (SNR) and
the variance and bias of the estimator. This is done by using different types
of optimal radar waveforms. It is shown that for the case of low SNR the
signal degradation associated to an adaptive filtering is less than that of
the mismatched filtering. The SNR loss of both matched and adaptive pulse
compression techniques was found to be nearly the same for most of the
investigated codes for the case of high SNR. We have shown that
the adaptive filtering technique is a compromise between matched and mismatched filtering method
when one evaluates its performance in terms of the variance and the bias of
the estimator. All the three analysis methods were found to have the same
performance when a sidelobe-free matched filter code is employed. |
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