OFDM pilot based channel estimation

Nadar, Jeba Inbaraj; Koti, Jayasudha; Jayaswal, Deepak

doi:10.1109/icaetr.2014.7012812

Cited by 4 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation 2: Fig.4 is the contrastive curve of LS [12], ESPRIT and our algorithm about channel estimation. Hadamard matrix is used to produce pilot sequences.…”

Section: Mse H H Mn Kmentioning

confidence: 99%

“…The main contribution of this paper lies in applying PASTd algorithm to DOA estimation and then studying the channel estimation performance based on PASTd. The pilots are utilized to estimate channel state information [12] and we compare our algorithm with traditional Least Square (LS) channel estimation algorithm under the condition of additive pilot sequence.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Low-complexity Channel Estimation for Large-scale Receiving Antenna Systems Based on PASTd

Liu¹,

Cheng²,

Xia³

et al. 2017

dtcse

View full text Add to dashboard Cite

Abstract. Subspace estimation is an important procedure when we make predictions about the direction of arrival (DOA). Low-complexity projection approximation and subspace tracking of deflation (PASTd) is able to estimate signal subspace without computing eign-value decomposition of the cross correlation matrix or singular value decomposition of the received signal. Furthermore, we regard the channel estimation as the combination of angular information and path attenuation. In this paper, we discuss PASTd comes into play in DOA and channel estimation. Simulation results in MATLAB verify the effectiveness in angular and channel estimation.

show abstract

“…Simulation 2: Fig.4 is the contrastive curve of LS [12], ESPRIT and our algorithm about channel estimation. Hadamard matrix is used to produce pilot sequences.…”

Section: Mse H H Mn Kmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-complexity Channel Estimation for Large-scale Receiving Antenna Systems Based on PASTd

Liu¹,

Cheng²,

Xia³

et al. 2017

dtcse

View full text Add to dashboard Cite

show abstract

“…In OFDM system, a small number of training sequences are used to obtain the CSI, which greatly decrease the complexity before transferring messages. In [6], LS (Least Square) and MMSE (Minimum Mean Square Error) algorithm are employed by additive pilots before useful signals. This method is rather simple, but at the price of reducing the accuracy.…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation Algorithm for mmWave Communication with Array Antennas via Reduced-Dimension MUSIC

Liu¹,

Xia²,

Cheng³

et al. 2017

Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 20

View full text Add to dashboard Cite

This paper considers channel estimation for mmWave communication with massive received array antennas at BS. Instead of estimate the channel matrix, we resolve the problem into two steps. Firstly, one could separately estimate DOA, on the basis of the array signal processing techniques, and then estimate the corresponding path attenuation according to the pilots from the transmitting terminals. This method is analyzed and compared with conventional LS channel estimation algorithm. The performance of the suggested algorithm precedes LS algorithm without large number of pilots. Finally, numerical simulation results are provided to verify the effectiveness of our channel estimation approach.

show abstract