Modern methods for optimal spatio-temporal signal processing in active, passive, and combined active-passive radio-engineering systems

• Published in: Journal of communications technology & electronics Vol. 59; no. 2; pp. 97 - 118
• Main Authors: Volosyuk, V. K., Gulyaev, Yu. V., Kravchenko, V. F., Kutuza, B. G., Pavlikov, V. V., Pustovoit, V. I.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.02.2014; Springer; Springer Nature B.V
• Subjects: Antennas; Approximation; Communications Engineering; Communications equipment; Communications technology; Electric waves; Electromagnetic radiation; Electromagnetic waves; Electromagnetism; Engineering; Estimates; Estimating techniques; Fourier transforms; Mathematical models; Methods; Networks; Nuclear radiation; Optimization; Parameter estimation; Radar systems; Radiation; Radio; Radio astronomy; Regression; Regression analysis; Remote sensing; Review; Signal processing; Studies; Weight function; Atomic Function; Radar Image; Chirp Signal; Ambiguity Function; Radar
• ISSN: 1064-2269; 1555-6557
• DOI: 10.1134/S1064226914020090

Using the concept of the search for the optimal signal parameter estimates and related to them parameters of electromagnetic and regression models of scattering and radio-thermal radiation of electromagnetic waves by various objects and natural medias on the basis of modern theory of statistical decisions and estimates of probability distribution parameters, a number of fundamental results developing the theory and methods of optimal spatio-temporal signal processing are obtained for the first time. Corresponding directions of their practical application in active, passive, and combined (complex) active-passive radar and remote-sensing radio systems are considered. Special attention is given to application of Kravchenko weight functions (windows) in problems of radio engineering systems synthesis.