A new importance function for particle filtering and its application to blind detection in flat fading channels

Yufei Huang; Petar M. Djurić

doi:10.1109/icassp.2002.5744927

A new importance function for particle filtering and its application to blind detection in flat fading channels

Yufei Huang
, Petar M. Djurić

Electrical Engineering

Stony Brook University

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

6 Scopus citations

Abstract

Particle filtering has drawn much attention in recent years due to its capacity to handle nonlinear and non-Gaussian problems. One crucial issue in particle filtering is the selection of importance function. In this paper, we propose a new type of importance function, which possess advantages over both the posterior and the prior importance functions. In addition, we demonstrate the use of the proposed importance function in blind detection in flat fading channels. Simulation results show its efficiency and performance.

Original language	English
Pages (from-to)	II/1617-II/1620
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
DOIs	https://doi.org/10.1109/icassp.2002.5744927
State	Published - 2002
Event	2002 IEEE International Conference on Acoustic, Speech and Signal Processing - Orlando, FL, United States Duration: May 13 2002 → May 17 2002

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10.1109/icassp.2002.5744927

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abstract = "Particle filtering has drawn much attention in recent years due to its capacity to handle nonlinear and non-Gaussian problems. One crucial issue in particle filtering is the selection of importance function. In this paper, we propose a new type of importance function, which possess advantages over both the posterior and the prior importance functions. In addition, we demonstrate the use of the proposed importance function in blind detection in flat fading channels. Simulation results show its efficiency and performance.",

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AU - Djurić, Petar M.

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AB - Particle filtering has drawn much attention in recent years due to its capacity to handle nonlinear and non-Gaussian problems. One crucial issue in particle filtering is the selection of importance function. In this paper, we propose a new type of importance function, which possess advantages over both the posterior and the prior importance functions. In addition, we demonstrate the use of the proposed importance function in blind detection in flat fading channels. Simulation results show its efficiency and performance.

UR - https://www.scopus.com/pages/publications/0036293794

U2 - 10.1109/icassp.2002.5744927

DO - 10.1109/icassp.2002.5744927

M3 - Conference article

AN - SCOPUS:0036293794

SN - 0736-7791

VL - 2

SP - II/1617-II/1620

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2002 IEEE International Conference on Acoustic, Speech and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

A new importance function for particle filtering and its application to blind detection in flat fading channels

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