On the error probability of decision-feedback differential detection

Author

Schober, Robert ; Ma, Yao ; Pasupathy, Subbarayan

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada

Volume

51

Issue

4

fYear

2003

fDate

4/1/2003 12:00:00 AM

Firstpage

535

Lastpage

538

Abstract

We give a tight approximation for the bit-error rate (BER) of decision-feedback differential detection (DF-DD). The influence of error propagation is modeled by a Markov chain. A simple state reduction method is proposed to limit computational complexity. Our results show that error propagation strongly depends on the chosen feedback filter. In particular, the popular assumption that error propagation increases BER by a factor of two is not always justified.

Keywords

AWGN channels; Markov processes; approximation theory; computational complexity; differential detection; error statistics; feedback; filtering theory; AWGN channel; BER approximation; MPSK; Markov chain; additive white Gaussian noise channel; bit-error rate; carrier phase recovery; computational complexity; decision-feedback differential detection; differential M-ary phase-shift keying; error probability; error propagation; feedback filter; state reduction method; AWGN; Additive white noise; Bit error rate; Computational complexity; Differential quadrature phase shift keying; Error analysis; Error probability; Feedback; Filters; Phase shift keying;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2003.810857

Filename

1199274