Adaptive Array Signal Processing using Cyclostationary property nder Non-ideal Situations

This essay aims to provide a proper method to solve the error problem of the cycle frequency caused by Doppler Effect while dealing with robust adaptive beamforming for cyclostationary signals. The desired signals with cyclostationarity can be received efficiently without requiring the direction of Arrival (DOA). It is argued that some traditional methods such as LS-SCORE [17] and CAB [27] algorithms can help in receiving signals properly. However, if there is a small mismatch in the cycle frequency of the desired signal, these algorithms could suffer from severe performance degradation. According to previous researches [2] [21], LS-SCORE and CAB were proved to solve the problem of the cycle frequency error (CFE), but they seem to suffer from slow convergence speed and complexity. Therefore, one possible solution of this issue is to consider using the method proposed in this essay that could find the correct frequency error faster. Also this method has been proved as an improvement with better performance comparing to LS-SCORE algorithm.n many practical applications of telecommunication, the system usually receives multiple signals at the same time. This essay also attempts to demonstrate a proper algorithm which allows receiving different cycle frequencies at the same time in order to release the loading of the hardware and save more processing time in adaptive array beamforming.