Modified subband adaptive notch filters for eliminating multiple sinusoids with reduced bias and faster convergence

This paper proposes an improved version of sub-band adaptive notch (SAN) filters for detecting and eliminating multiple unknown sinusoids embedded in the broadband (in fact, white) signals. The proposed SAN filters enhance both the convergence speed and estimation accuracy especially when sinusoids have close angular frequencies, under which circumstances the original SAN filters suffer from convergence and accuracy problems. Several simulations are included illustrating the superiority of the proposed SAN filters over their original counterparts, in terms of considerably better estimation accuracy and faster convergence speed.