Hybrid Monte Carlo - Recursive identification algorithms for blind detection over a Rayleigh fading channel

Jayesh H. Kotecha; Petar M. Djuric

Hybrid Monte Carlo - Recursive identification algorithms for blind detection over a Rayleigh fading channel

Jayesh H. Kotecha
, Petar M. Djuric

Electrical Engineering

Stony Brook University

Research output: Contribution to journal › Conference article › peer-review

Abstract

A joint detection and adaptive estimation scheme is presented for a Rayleigh fading channel. The channel is modeled as an autoregressive process and the communication system is modeled as a dynamic state space model. A new filtering method called hybrid Monte Carlo-recursive identification is used, which combines sampling based filters with classical recursive identification methods to estimate the transmitted symbol sequence and the channel fading.

Original language	English
Article number	7075696
Journal	European Signal Processing Conference
Volume	2015-March
Issue number	March
State	Published - Mar 31 2000
Event	2000 10th European Signal Processing Conference, EUSIPCO 2000 - Tampere, Finland Duration: Sep 4 2000 → Sep 8 2000

Cite this

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title = "Hybrid Monte Carlo - Recursive identification algorithms for blind detection over a Rayleigh fading channel",

abstract = "A joint detection and adaptive estimation scheme is presented for a Rayleigh fading channel. The channel is modeled as an autoregressive process and the communication system is modeled as a dynamic state space model. A new filtering method called hybrid Monte Carlo-recursive identification is used, which combines sampling based filters with classical recursive identification methods to estimate the transmitted symbol sequence and the channel fading.",

author = "Kotecha, \{Jayesh H.\} and Djuric, \{Petar M.\}",

note = "Publisher Copyright: {\textcopyright} 2000 EUSIPCO.; 2000 10th European Signal Processing Conference, EUSIPCO 2000 ; Conference date: 04-09-2000 Through 08-09-2000",

year = "2000",

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language = "English",

volume = "2015-March",

journal = "European Signal Processing Conference",

issn = "2219-5491",

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TY - JOUR

T1 - Hybrid Monte Carlo - Recursive identification algorithms for blind detection over a Rayleigh fading channel

AU - Kotecha, Jayesh H.

AU - Djuric, Petar M.

PY - 2000/3/31

Y1 - 2000/3/31

N2 - A joint detection and adaptive estimation scheme is presented for a Rayleigh fading channel. The channel is modeled as an autoregressive process and the communication system is modeled as a dynamic state space model. A new filtering method called hybrid Monte Carlo-recursive identification is used, which combines sampling based filters with classical recursive identification methods to estimate the transmitted symbol sequence and the channel fading.

AB - A joint detection and adaptive estimation scheme is presented for a Rayleigh fading channel. The channel is modeled as an autoregressive process and the communication system is modeled as a dynamic state space model. A new filtering method called hybrid Monte Carlo-recursive identification is used, which combines sampling based filters with classical recursive identification methods to estimate the transmitted symbol sequence and the channel fading.

UR - https://www.scopus.com/pages/publications/84937053957

M3 - Conference article

AN - SCOPUS:84937053957

SN - 2219-5491

VL - 2015-March

JO - European Signal Processing Conference

JF - European Signal Processing Conference

IS - March

M1 - 7075696

T2 - 2000 10th European Signal Processing Conference, EUSIPCO 2000

Y2 - 4 September 2000 through 8 September 2000

ER -

Hybrid Monte Carlo - Recursive identification algorithms for blind detection over a Rayleigh fading channel

Abstract

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