Subband array implementations for space-time adaptive processing
EURASIP Journal on Applied Signal Processing
An FIR notch filter for adaptive filtering of a sinusoid in correlated noise
EURASIP Journal on Applied Signal Processing
Convergence analysis of a frequency domain adaptive filter with constraints on the output weights
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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The frequency domain implementation of the LMS algorithm is attractive due to both the reduced computational complexity and the potential of faster convergence compared with the time domain implementation. Another advantage is the potential of using frequency-domain constraints on the adaptive filter, such as limiting its magnitude response or limiting the power of its output signal. This paper presents a computationally efficient algorithm that allows the incorporation of various frequency domain constraints into the LMS algorithm. A penalty function formulation is used with a steepest descent search to adapt the filter so that it converges to the new constrained minimum. The formulation of the algorithm is derived first, after which the use of some practical constraints with this algorithm and a simulation example for adaptive blind equalization are described