文章摘要
Kamayani Shrivastav,R. P. Yadav,K. C. Jain.[J].重庆邮电大学新办英文刊,2021,7(1):55-61
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Joint MAP channel estimation and data detection for OFDM in presence of phase noise from free running and phase locked loop oscillator
Received: April 16, 2018  Revised: September 02, 2020
DOI:https://doi.org/10.1016/j.dcan.2020.09.007
中文关键词: 
英文关键词: Orthogonal frequency division multiplexing;Phase noise;Free running oscillator;Phase-locked loop oscillator;Maximum a posteriori;Channel estimation;Data detection
基金项目:
AuthorInstitutionE-mail
Kamayani Shrivastav Department of Electronics and Communication, Malaviya National Institute of Technology, 302017, India 2014rec9012@mnit.ac.in 
R. P. Yadav Department of Electronics and Communication, Malaviya National Institute of Technology, 302017, India  
K. C. Jain Department of Mathematics, Indian Institute of Information Technology, Kota, India  
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中文摘要:
      
英文摘要:
      This paper addresses a computationally compact and statistically optimal joint Maximum a Posteriori (MAP) algorithm for channel estimation and data detection in the presence of Phase Noise (PHN) in iterative Orthogonal Frequency Division Multiplexing (OFDM) receivers used for high speed and high spectral efficient wireless communication systems. The MAP cost function for joint estimation and detection is derived and optimized further with the proposed cyclic gradient descent optimization algorithm. The proposed joint estimation and detection algorithm relaxes the restriction of small PHN assumptions and utilizes the prior statistical knowledge of PHN spectral components to produce a statistically optimal solution. The frequency-domain estimation of Channel Transfer Function (CTF) in frequency selective fading makes the method simpler, compared with the estimation of Channel Impulse Response (CIR) in the time domain. Two different time-varying PHN models, produced by Free Running Oscillator (FRO) and Phase-Locked Loop (PLL) oscillator, are presented and compared for performance difference with proposed OFDM receiver. Simulation results for joint MAP channel estimation are compared with Cramer-Rao Lower Bound (CRLB), and the simulation results for joint MAP data detection are compared with “NO PHN” performance to demonstrate that the proposed joint MAP estimation and detection algorithm achieve nearoptimum performance even under multipath channel fading.