Paper
21 January 1994 High-accuracy adaptive-frequency measures for low signals in acoustic optical processors
Kirill V. Zaitchenko
Author Affiliations +
Proceedings Volume 2051, International Conference on Optical Information Processing; (1994) https://doi.org/10.1117/12.165963
Event: Optical Information Processing: International Conference, 1993, St. Petersburg, Russian Federation
Abstract
Development of coherent devices secures an essential increace of effective signals parameters appreciation indexes against noise and clutters background is of a great theoretical and practical interest. Frequency sensitive elements (FSE) based on acoustic optical Furie—processors (FP) are related to these devices. Owing to the usage of FP input signal analysis is transforming from frequency to time area. If FP has sufficiently high resolution ability, it is possible to apperciate such parameters as a signal—noise ratio, a width of signal energy spectrum and its form. Parameters of FSE should be altered according to the obtained appreciate values in order to secure minimum of mediquadratic measure error of the effective signal energy spectrum central Requirement of full measure error minimi'sation is taken as a criterion of adaptation which In case of linear model of FSE comes to the requirement of equivalent spectrum density minimum and in case of non—linear model — mediqadratic measure error. Synthesis of adaptive procedures is performed by obtaining the reliable appreciations of unknown parameters with the usage of inherent in many measures structure surplus.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kirill V. Zaitchenko "High-accuracy adaptive-frequency measures for low signals in acoustic optical processors", Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); https://doi.org/10.1117/12.165963
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KEYWORDS
Signal processing

Chemical elements

Acoustics

Optical components

Adaptive optics

Interference (communication)

Signal to noise ratio

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