Equalization and carrier phase recovery of CMA and MMA in blind adaptive receivers
IEEE Transactions on Signal Processing
Effects of source distributions on CMA and MMA using symmetric two-dimensional signal constellations
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Hi-index | 35.69 |
We obtain the convergence of the Godard family [including the Sato and constant modulus (CM) algorithms] and the multimodulus algorithms (MMA) in a unified way. Our analysis also works for CMA fractionally spaced equalizer (FSE). Our assumptions are quite realistic: The channel input can be asymptotically stationary and ergodic, the channel impulse response is finite and can be stationary and ergodic (this models fading channels), and the equalizer length is finite. The noise is independent and identically distributed (i.i.d.). The channel input can be discrete or continuous. Our approach allows us to approximate the whole trajectory of the equalizer coefficients. This provides estimates of the rate of convergence, and the system performance (symbol error rate) can be evaluated under transience and steady state.