I.V. Kuznetsov - Dr. Sc. (Eng.), Professor, Associate Professor, Ufa State Aviation Technical University E-mail: tks@ugatu.ac.ru P.E. Filatov - Senior Lecturer, Ufa State Aviation Technical University E-mail: filatovpe@gmail.com A.N. Gimaev - Telecommunications Engineer, JSC «Rostelecom» E-mail: Reikit3005@mail.ru

This article researches clustered Differential Pulse Codec Modulation (DPCM) which allows increase of multichannel communication system throughput that experiences power shortages. Main merit of the clustered codec is usage of common coded prediction upon several (or all) the transmitting channels/circuits of the multichannel system. Many research papers focus on single-channel Differential Pulse Code Modulation codecs (DPCM-codecs), the ones that help enhance their dynamic range with respect to input data spectral properties, and require different transmitting data technologies adaptation. Thus the problem on creation and development of newer ways of digital data capture appears along with necessity to employ these methods in multichannel satellite communication systems and/or in independent. Main idea of clustered DPCM converter lies in common coordinating prediction on all the channels of the multichannel system that requires lesser power supply demands on processing capacity of onboard computers. This owes to the process by which coordinating prediction parameter definition results in simultaneous processing on all the channels, and not for each channel at a time. The concept of clustered DPCM-codec synthesis for power-short communication systems is also considered. The idea suggests mathematical representation of a clustered (double-channel) DPCM converter. Static centred random signal with well-known auto- and inter power spectrum density is taken as a signal sample. Quasi-white noise with predetermined parameters is taken as a noise signal sample. For improvement purposes in a class of stable systems analytical equations for transmitting functions of coordinating prediction calculus are determined with numerical modelling graph results of the clustered DPCM converter. Expected efficiency of the DPCM-codec usage from the informational processing capability viewpoint in power-short data transmitting systems constitutes 1,15 times enhancement in comparison with single-channel DPCM signal converter. Further research aims are listed in the Concluding Remarks.

 

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