Title :
A new efficient LMS adaptive filtering algorithm
Author :
Chen, Sau-Gee ; Kao, Yung-An ; Tsai, Kwung-Yee
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
5/1/1996 12:00:00 AM
Abstract :
A new efficient LMS adaptive filtering algorithm is proposed. The algorithm has comparable performance to that of the direct-form LMS algorithm (DLMS), while it costs N/2-1 fewer multiplications at the expense of N/2+5 more additions than the DLMS algorithm, where N is the number of filter taps. The new algorithm has one more parameter adaptation than the DLMS algorithm. Further, the algorithm was combined with sign LMS algorithm (SA), signed regressor algorithm (SRA) and zero forcing (ZFA) algorithm for more complexity reduction. Simulation results showed that the new combined algorithms converge as fast as the direct-form SA, SRA and ZFA algorithms, while still maintaining comparable performances
Keywords :
adaptive filters; filtering theory; least mean squares methods; two-dimensional digital filters; LMS adaptive filtering algorithm; filter taps; parameter adaptation; sign LMS algorithm; signed regressor algorithm; zero forcing algorithm; Adaptive algorithm; Adaptive filters; Convolution; Costs; Equations; Filtering algorithms; Frequency domain analysis; Interference cancellation; Least squares approximation; Signal processing algorithms;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
