Optimal training signals for MIMO OFDM channel estimation
By Hlaing Minn, Naofal Al-Dhahir. IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., 2004
354 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/91f0184faba66f56fbada717e3bcfd837e710056
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In Computer Networks and Communications
In Electrical and Electronic Engineering
- Rui Zhang
- Ying-Chang Liang
- Geoffrey Y. Li
- Qingqing Wu
- F. Gao
- Robert D. Nowak
- Jarvis D. Haupt
- Waheed Uz Zaman Bajwa
Citations in the corpus
- Millimeter Wave Beam-Selection Using Out-of-Band Spatial Information (2017, neutral): “We assume that the estimate of the MIMO channel taps Ĥ[ ] or equivalently H[k] is available (see [41] for OFDM channel estimation techniques).”
- Optimal channel estimation and training design for two-way relay networks (2009, background): “It is well known that LS approach in traditional point-to-point systems [17], or even in OWRN [20], coincides with the ML approach.”
- Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels (2010, methodology): “The preceding discussion brings forth several salient char acteristics of traditional training-based methods such as tho e in [5]–[12].”
- Channel Estimation for OFDM (2014, background): “A general framework for optimum training signal design is proposed in [146], which includes all existing training signals as special cases.”
- Blind Channel Estimation for MIMO-OFDM Systems (2007, neutral): “The training requirements, however, are significant [10]–[18].”