Improved algorithm for blind signal extraction
Zhang Er-yang · Systems engineering and electronics · 2007
Blind FRESH(frequency shift filter) can separate desired signals from spectrally over lapping interference by exploiting cyclostationarity.FRESH gets severe performance degradation,when there is a small mismatch in the cyclic frequency error of the desired signal.The behavior of the FRESH in the presence of cyclic frequency error is considered.A forgetting factor algorithm to alleviate the performance degradation is adopted.Based on the theoretical analysis,forgetting factor can eliminate the zero point of sinc function due to finite data samples.So this algorithm would largely depress the sensitivity of the FRESH to cyclic frequency error.It also has a low computational complexity and easy application without estimating cyclic frequency.