Title :
Blind receivers for nonlinearly modulated signals in multipath
Author :
Cirpan, Hakan A. ; Tsatsanis, Michail K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
fDate :
2/1/1999 12:00:00 AM
Abstract :
Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continuous phase-modulated signals) because the input to the channel may not be i.i.d. due to the modulator´s memory. Moreover, the nonlinear characteristics of the modulator further complicate the channel estimation task. In this correspondence, we derive blind maximum likelihood channel estimation algorithms for nonlinearly modulated signals using a hidden Markov model (HMM) formulation. The proposed method implements a stochastic maximum likelihood approach and is well suited for short data records appearing in TDMA systems. Cramer-Rao bounds are derived, and some illustrative simulations are presented
Keywords :
blind equalisers; continuous phase modulation; hidden Markov models; maximum likelihood estimation; multipath channels; Cramer-Rao bounds; HMM; TDMA systems; blind channel equalization; blind maximum likelihood channel estimation algorithms; blind receivers; channel estimation; continuous phase-modulated signals; hidden Markov model; multipath; nonlinear modulation; nonlinearly modulated signals; stochastic maximum likelihood approach; Blind equalizers; Channel estimation; Clustering algorithms; Continuous phase modulation; Hidden Markov models; Maximum likelihood estimation; Phase modulation; Pulse modulation; Pulse shaping methods; Stochastic processes;
Journal_Title :
Signal Processing, IEEE Transactions on