Particle filter with ant colony optimization for frequency offset estimation in OFDM systems with unknown noise distribution

Orthogonal frequency division multiplexing (OFDM) is sensitive to carrier frequency offset (CFO) that causes inter-carrier interference (ICI). In this paper, a particle filter (PF) method augmented with ant colony optimization (ACO) is developed to estimate the CFO. The ACO for continuous domains is...

Full description

Saved in:
Bibliographic Details
Published in:Signal processing 2011-05, Vol.91 (5), p.1339-1342
Main Authors: Yu, Yihua, Zheng, Xuanyuan
Format: Article
Language:English
Subjects:
Ant colony optimization (ACO)
Applied sciences
Carrier frequencies
Carrier frequency offset (CFO)
Colonies
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Multiplexing
Noise
Offsets
Optimization
Orthogonal Frequency Division Multiplexing
Orthogonal frequency division multiplexing (OFDM)
Particle filter
Sampling
Sampling, quantization
Signal and communications theory
Signal, noise
Simulation
Telecommunications and information theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Orthogonal frequency division multiplexing (OFDM) is sensitive to carrier frequency offset (CFO) that causes inter-carrier interference (ICI). In this paper, a particle filter (PF) method augmented with ant colony optimization (ACO) is developed to estimate the CFO. The ACO for continuous domains is incorporated into PF to optimize the sampling process. Unlike the standard PF, resampling is not required in the method. Moreover, it does not require the noise distribution. Simulation results show that the proposed method is effective when estimating the CFO and can effectively combat the effect of ICI in OFDM systems.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2010.12.009