2011
DOI: 10.1109/tcomm.2011.010411.100273
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Iterative Receivers Based on Subblock Processing for Phase Noise Compensation in OFDM Systems

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Cited by 24 publications
(10 citation statements)
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“…In 15 We now derive each term required to computeŜ opt in (14). From (3), the elements of SS in (17) and (18) can be obtained as…”
Section: The Proposed Wiener Filter Preprocessing Algorithmmentioning
confidence: 99%
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“…In 15 We now derive each term required to computeŜ opt in (14). From (3), the elements of SS in (17) and (18) can be obtained as…”
Section: The Proposed Wiener Filter Preprocessing Algorithmmentioning
confidence: 99%
“…It is noted that without changing the structure of conventional OFDM systems, the proposed Wiener filter preprocessing algorithm is based on the statistics of phase http://asp.eurasipjournals.com/content/2013/1/7 noise (which can be obtained from measurements or data sheets) and performs directly on the received signal Y (see Figure 1 for illustration). Subsequently, the algorithms of previous researches on phase noise cancelation (e.g., [12][13][14][15][16][17]) can be performed based on the preprocessed received signalŜ opt instead of on the received signal Y. We will show in the next section that by utilizing the correlation inherently exists in phase noise process, the proposed Wiener filter preprocessing algorithm can effectively mitigate the ICI which results from phase noise and lower the error floor, and therefore significantly improve the performances of previous researches phase noise cancelation, especially in severe phase noise case.…”
Section: Stationary Phase Noisementioning
confidence: 99%
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“…In [8]- [11], iterative detection and PN compensation techniques are proposed with pilot subcarriers used to estimate the PN-induced common phase-error (CPE) as an initialization for the PN process. In [9], the OFDM symbol is divided into sub-blocks where the PN process is assumed quasi-static over each sub-block. Furthermore, a Kalman filter for PN tracking is derived in [10] where knowledge of the This paper is supported by a NPRP grant from QNRF.…”
Section: Introductionmentioning
confidence: 99%