Interference Elimination and Direction-Of-Arrival Estimation of Wideband Cyclostationary Communication Signals

An important class of wideband communication signals exhibits cyclostationarity. Using this property, some deficiencies in conventional MUSIC direction-of-arrival (DOA) estimation algorithm including the inability to eliminate the interference, can be removed. Hence, in order to use this property, this paper is focused on wideband cyclic-based MUSIC algorithms and four wellknown algorithms, conventional MUSIC, averaged cyclic MUSIC (ACM), extended wideband cyclic MUSIC (EWCM) and generalized wideband cyclic MUSIC (GWCM) are investigated. Considering wideband desired and interference signals impinging on uniform linear array (ULA) from far field, the performance of different algorithms in estimating the DOA of desired signals and eliminating the interference signals is evaluated. According to this fact that cyclic correlation within a certain range of time delay has large values, appropriate value of averaging window for simulations is obtained 𝜏 = [−01 + 01]. Moreover, the simulation results in MATLAB software show that: 1. By choosing the proper cyclic frequency, interference can be removed. In this research, by evaluating the root mean square error (RMSE) of algorithms, appropriate value of cyclic frequency is obtained 𝛼 = −𝑟𝑏. 5. DOA estimation depends on frequency. Therefore, those methods that take into account the frequency offer higher performance based on spatial spectrum and RMSE. 0. Increasing the desired and interference signals, conventional MUSIC algorithm is unable to eliminate the interference. Also, it does not well estimate DOAs of desired and interference signals.