METHOD OF SIGNAL PROCESSING IN MIMO SYSTEMS OF UNMANNED AVIATION COMPLEXES
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Abstract
Noise immunity of receiving signals in the MIMO (Multiple Input Multiple-Output) system essentially depends on the choice of the signal processing method on the receiving side. Existing methods of signal processing, in the MIMO system, that provide a given quality of information transmission, have high computational complexity, so there is a necessity to improve these methods. The purpose of this article is to increase the impedance of channels of control and data transmission of unmanned aerial systems, which was achieved by developing new method of signal processing in multi-antenna systems of unmanned aerial systems. The article developed an improved method of signal processing in MIMO systems of unmanned aerial systems, the essence of which is the ability to work with a known and unknown correlation matrix, the division of received signals into groups and the evaluation of each group, taking into account the evaluation error. During the research, the theory of communication, signal theory, the theory of antennas and the theory of noise-proof coding were used. The difference between an improved method is, that the method allows you to work with an unknown correlation matrix. While processing a signal in a demodulator, each iteration takes into account not only the estimate obtained in the previous step, but also the degree of accuracy of the character estimation. The proposed improved method has characteristics, that are close to the characteristics of demodulator, optimal for the criterion of maximum likelihood, but much less computational complexity. The method allows you to reduce computing costs by 20 times, compared with the maximum likelihood algorithm. The practical implementation of this method will allow the creation of software for communication equipment of unmanned aeronautical complexes, which operate in difficult conditions of the radio electronic environment.
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References
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