Steady-state analysis of the multistage CM array for correlated signals

Abstract

A steady-state analysis of the multistage constant modulus (CM) array is presented for the case of correlated source signals. Using a Wiener model for the converged adaptive algorithms, it is demonstrated that because of the cascade structure, signal cross-correlation results in "phantom" sources. The resulting "leakage" in the signal cancellers between stages causes an increase in the minimum mean-square error. A parallel implementation is discussed that overcomes this loss in performance.