A complex algorithm for linearly constrained adaptive arrays
Young-Lim Su · IRE Transactions on Antennas and Propagation · 1983
A linearly constrained least mean squares (lms) algorithm for complex signals is derived to minimize noise power in the array output. The original algorithm for real signals isW(k + 1) = P[W(k) - \mu y(k)X(k)] + F. The complex form is shown to beW(k + 1) = P[W(k) - \mu y(k)\bar{X}(k)] + F, where the bar above\bar{X}denotes complex conjugate.W, y, X, andFare complex.Pand\muare real.