Blind receivers for nonlinearly modulated signals in multipath

Hakan A. Cirpan

doi:10.1109/78.740148

Blind receivers for nonlinearly modulated signals in multipath

Hakan A. Cirpan^*

^*Corresponding author for this work

Stevens Institute of Technology

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continous phasemodulated 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. Cramér-Rao bounds are derived, and some illustrative simulations are presented.

Original language	English
Pages (from-to)	583-586
Number of pages	4
Journal	IEEE Transactions on Signal Processing
Volume	47
Issue number	2
DOIs	https://doi.org/10.1109/78.740148
Publication status	Published - 1999
Externally published	Yes

Funding

Manuscript received March 31, 1997; revised July 30, 1998. This work was supported by the National Science Foundation under Grants NCR-9706658 and CCR-9733048 and the Army Research Office under Grant DAAG55-98-1.0224. The associate editor coordinating the review of this paper and approving it for publication was Prof. Barry D. Van Veen.

Funders	Funder number
National Science Foundation	CCR-9733048, NCR-9706658
Army Research Office	DAAG55-98-1.0224

Access to Document

10.1109/78.740148

Cite this

@article{f0e913ac0ee54695a3c879c2e30e5b67,

title = "Blind receivers for nonlinearly modulated signals in multipath",

abstract = "Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continous phasemodulated 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. Cram{\'e}r-Rao bounds are derived, and some illustrative simulations are presented.",

author = "Cirpan, {Hakan A.}",

year = "1999",

doi = "10.1109/78.740148",

language = "English",

volume = "47",

pages = "583--586",

journal = "IEEE Transactions on Signal Processing",

issn = "1053-587X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - Blind receivers for nonlinearly modulated signals in multipath

AU - Cirpan, Hakan A.

PY - 1999

Y1 - 1999

N2 - Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continous phasemodulated 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. Cramér-Rao bounds are derived, and some illustrative simulations are presented.

AB - Classical blind channel equalization methods may not be suitable for systems with nonlinear modulation (e.g., continous phasemodulated 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. Cramér-Rao bounds are derived, and some illustrative simulations are presented.

UR - http://www.scopus.com/inward/record.url?scp=0033079962&partnerID=8YFLogxK

U2 - 10.1109/78.740148

DO - 10.1109/78.740148

M3 - Article

AN - SCOPUS:0033079962

SN - 1053-587X

VL - 47

SP - 583

EP - 586

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 2

ER -

Blind receivers for nonlinearly modulated signals in multipath

Abstract

Funding

Access to Document

Other files and links

Fingerprint

Cite this