Adaptive Array Filter Using a Combined QLMS-CLMS Algorithm

摘要

A new adaptive filler, called quaternion least mean square plus complex least mean square (QLMS-CLMS) filter, is proposed for an electromagnetic vector sensor array. The QLMS-CLMS filter involves the use of two LMS-based sections. The first one is the quaternion LMS algorithm, the other is the complex LMS algorithm. Computer simulation results show that QLMS-CLMS filter is superior in the output signal-to-noise ratio over earlier CLMS filter. In addition, the proposed QLMSCLMS algorithm is robust when the interference signal is coherent with the desired signal.