Y.V. Kuznetsov – Dr.Sc. (Eng.), Professor, Head of Department «Theoretical Radio Engineering»,

Moscow Aviation Institute (National Research University)

A.B. Baev – Ph.D. (Eng.), Associate Professor,

Department «Theoretical Radio Engineering»,

Moscow Aviation Institute (National Research University)

M.A. Konovalyuk – Ph.D. (Eng.), Associate Professor, Department «Theoretical Radio Engineering»,

Moscow Aviation Institute (National Research University)

A.A. Gorbunova – Ph.D. (Eng.), Associate Professor,

Department «Theoretical Radio Engineering»,

Moscow Aviation Institute (National Research University)

A.A. Denisov – Student, 

Moscow Aviation Institute (National Research University) E-mail: kuznetsov@mai.ru

The modern problem of the direction of arrival (DOA) estimation for communication signals deals with the spatial properties and temporal properties of electromagnetic waves. Antenna arrays are useful for estimating the DOA of signals from several sources [1]. Cyclostationarity of the communication signals is the property of periodic characteristics of non-stationary random processes that are used to model signals with unknown information [2]. The temporal information associated with the signal is the bit sequence unique properties. The different bit rate makes it possible to select signal of interest using special signal processing. The widely used approach of DOA estimation utilizing the signal of interest (SOI) cyclostationarity is cyclic MUSIC method [3,4].

For characterization the cyclic correlation properties of two different complex signals cyclic cross-correlation function and conjugate cyclic cross-correlation function can be used [4]. These cyclic cross-correlation functions contain information about the phase differences between cyclostationary components at cyclic frequencies and can be used to solve DOA problem with antenna array.

In this paper difficult interference situation for solving problem of wireless communication signals DOA estimation using the cyclic characteristics is considered. The reflections of SOI, low signal-to-noise ratio, co-channel interference are real world examples that push to solve the problem with proposed methods.

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