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
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 complicates the channel estimation task. In this paper, we derive blind maximum likelihood channel estimation algorithms for nonlinearly modulated signals, using a hidden Markov model formulation. The novel algorithm is based on a modified Baum-Welch procedure. 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 :
cellular radio; continuous phase modulation; cordless telephone systems; digital radio; equalisers; hidden Markov models; maximum likelihood estimation; multipath channels; radio receivers; time division multiple access; Cramer-Rao bounds; TDMA systems; blind channel equalization methods; blind maximum likelihood channel estimation algorithms; blind receivers; continuous phase modulated signals; hidden Markov model formulation; modified Baum-Welch procedure; multipath; nonlinearly modulated signals; stochastic maximum likelihood approach; AWGN; Channel estimation; Continuous phase modulation; Dispersion; Hidden Markov models; Maximum likelihood estimation; Phase modulation; Pulse modulation; Pulse shaping methods; Time division multiple access;
Conference_Titel :
Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on
Conference_Location :
Paris, France
Print_ISBN :
0-7803-3944-4
DOI :
10.1109/SPAWC.1997.630185