Comparison of RLS and LMS Algorithms for Interference Cancelation in a Fixed Point to Point Microwave Link
An efficient channel estimation and interference cancelation method for a fixed point to point (p2p) microwave link is designed and investigated; it is based on Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. The LMS and RLS algorithms are compared. The objective is to minimize the computational complexity of channel estimation by using algorithms and to increase channel capacity by implementing 2×2 MIMO systems. Both the channel estimation algorithms and interference cancelation approaches are modeled on the same grounds. Cross-polar interference and fading effects on received signals are analyzed and countered. The performances are compared with one another through simulation results and with analytical results presented in different texts and publications.
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