Statistics – Applications
Scientific paper
Aug 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995spie.2529..290k&link_type=abstract
Proc. SPIE Vol. 2529, p. 290-296, Photorefractive Fiber and Crystal Devices: Materials, Optical Properties, and Applications, Fr
Statistics
Applications
Scientific paper
Among contemporary well-known acousto-optic rf signal processing systems, space integrating acousto-optic spectrum analyzers (SIAOSA) are most adapted for commercial applications. This is because their laboratory prototypes achieve high parameters and their elementary base is well-developed. SIAOSA can process rf signals directly at carrier in the metric and decimetric bands, has a wide band of simultaneously processed frequencies, high parameter stability, and small weight and dimensions. Due to this unique parameter combination, SIAOSA are already used in warfare, rf monitoring, and radio astronomy. A method for SIAOSA design is required in order to broaden the area where those systems can be used. In its turn, such a method requires a SIAOSA mathematical model for simulating its operation. The most general mathematical model is a statistics model. But such a model requires statistic characteristics of separate SIAOSA elements, and their connections and joint operation. The latter information can be obtained from a deterministic model based on the study of how a known signal passes through SIAOSA. Such a deterministic model is used in most works on acousto-optic spectrum analyzers. This paper is based on an experimental model and devoted to some ways of SIAOSA performance enhancement.
Kludzin Victor V.
Kulakov Sergei V.
Molotok Victor V.
Razhivin B. P.
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