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	Joint ML estimation algorithm for higher-order OFDM systems
	Long Yi ; Kuang Linling ; Lu Jianhua
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ channel estimation maximum likelihood estimation OFDM modulation/ joint maximum-likelihood channel estimation algorithm higher-order OFDM systems timing errors residual frequency offsets phase noise orthogonal frequency division multiplexing systems channel impulse response non-Gaussian interference/ B6120 Modulation and coding methods B6150D Communication channel equalisation and identification B0240Z Other topics in statistics
中文摘要	A joint maximum-likelihood (ML) channel estimation algorithm was developed to estimate timing errors, residual frequency offsets, and phase noise, and to reduce the error floor in high-order modulation orthogonal frequency division multiplexing (OFDM) systems. The joint likelihood function of these impairments and the channel impulse response (CIR) are used to optimize the joint estimates of the timing error, residual frequency offset, phase noise, and CIR. Simulations show this algorithm more accurately estimates the channel response, reduces the non-Gaussian interference caused by those problems, and lowers the demodulator error floor by nearly one order of magnitude compared with existing joint estimation algorithms. Thus, method may be used to effectively improve the performance of high-order modulation OFDM systems.
语种	中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82488]
专题	清华大学
推荐引用方式 GB/T 7714	Long Yi,Kuang Linling,Lu Jianhua. Joint ML estimation algorithm for higher-order OFDM systems[J],2010, 2010.
APA	Long Yi,Kuang Linling,&Lu Jianhua.(2010).Joint ML estimation algorithm for higher-order OFDM systems..
MLA	Long Yi,et al."Joint ML estimation algorithm for higher-order OFDM systems".(2010).

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