OFDM channel estimation by singular value decomposition

Edfors, Ove; Sandell, Magnus; Beek, Jaap van de; Wilson, Sarah Kate; Börjesson, Per Ola

doi:10.1109/26.701321

Cited by 1,269 publications

(645 citation statements)

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“…Correlation is one of the most frequently applied signal processing techniques for detection, as studied in, for example, [17,25], for channel estimation. In addition, in terms of eliminating channel fading, studies have shown that partly due to the partial elimination of the channel tap with the most energy in the time-domain, the use of a time-domain approach can produce improved performance i.e.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…Several forms of channel estimation exist and in practical systems, an adaptive channel estimation is usually implemented at the receiver in order to select the best channel estimation approach for different channel fading environments. In addition, channel estimation methods such as the linear minimum mean square error (L-MMSE) have very high computational complexity compared with the least squares (LS) method of channel estimation [4,[17][18][19]. Moreover, the L-MMSE method requires apriori knowledge of both the channel correlation and noise statistics, which may either be unavailable or further introduce practical implementation and design constraints [19,20].…”

Section: Introductionmentioning

confidence: 99%

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A selective control information detection scheme for OFDM receivers

2016

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In wireless communications, both control information and payload (user-data) are concurrently transmitted and required to be successfully recovered. This paper focuses on block-level detection, which is applicable for detecting transmitted control information, particularly when this information is selected or chosen from a finite set of information that are known at both transmitting and receiving devices. Using an orthogonal frequency division multiplexing architecture, this paper investigates and evaluates the performance of a time-domain decision criterion in comparison with a form of Maximum Likelihood (ML) estimation method. Unlike the ML method, the proposed time-domain detection technique requires no channel estimation as it uses the correlation (in the time-domain) that exists between the received and the transmitted selective information as a means of detection. In comparison with the ML method, results show that the proposed method offers improved detection performance, particularly when the control information consists of at least 16. However, the implementation of the proposed method requires a slightly increased number of mathematical computations.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A selective control information detection scheme for OFDM receivers

2016

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“…VI. RESULTS AND PERFORMANCE EVALUATION The system parameters correspond to the parameters in the 3GPP LTE standard [1]. In particular, we consider a MIMO-OFDM system with 512 sub-carriers and QPSK modulation, operating at a 5 GHz band.…”

Section: Equation (1) F Is the N × N Dft Matrix With Its Element At Rmentioning

confidence: 99%

“…In least-square (LS) and minimum-mean-square-error (MMSE) channel estimation methods, together with various linear interpolation methods such as linear, second order, low pass, spline-cubic and time domain interpolation are investigated. The authors extend the channel estimation method in [1] to take into account ICI and use a comb-type pilot placement instead of a block-type pilot placement. None of these schemes however, utilize data symbols in the channel estimation process.…”

Section: Introductionmentioning

confidence: 99%

“…Data symbols are then estimated by a detector and these estimates are utilized to iteratively refine the channel estimation. The simulation results show that the performance of the proposed iterative Doppler-assisted channel estimation with the PIC-DSC interference cancellation scheme in a high mobility environment is significantly better [1] deals with pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Iterative Channel Algorithm for MIMO OFDM systems using Doppler Spread

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2017

IJERT

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Abstract-Multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system operating in high mobility scenarios, channel estimation becomes a challenging issue, due to fast channel variation and severe intercarrier interference (ICI). This paper proposes a novel pilotaided iterative receiver, based on pilot symbols and iterative softestimate of data symbols and parallel interference cancellation (PIC) scheme coupled with decision statistical combining (DSC) is used to cancel the ICI and to improve the data symbols detection. These data symbols are then utilized to refine the channel estimation further, iteratively. The simulation results of both methods are compared and values obtained depict that the PIC-DSC method improve channel estimation and its BER/SNR value remains stable. Keywords-MIMO; OFDM; DSC;PIC; BER. I. INTRODUCTIONIn a high mobility environment, the wireless channel is time variant and frequency selective causing the symbol transmission to be impaired by the Doppler spread. The Doppler spread destroys the orthogonality and creates intercarrier interference (ICI) between OFDM sub-carriers. In addition, the channel changes significantly within one OFDM symbol. Standard channel estimation methods that assume the wireless channels to be invariant within one OFDM symbol, or apply a block-type pilot placement, cannot be used in such a high mobility system. In estimation of the time domain channel coefficients is performed by using pilot tones and by linear interpolation of the time domain channel estimates. The authors use a comb-type pilot tones placement. In least-square (LS) and minimum-mean-square-error (MMSE) channel estimation methods, together with various linear interpolation methods such as linear, second order, low pass, spline-cubic and time domain interpolation are investigated. The authors extend the channel estimation method in [1] to take into account ICI and use a comb-type pilot placement instead of a block-type pilot placement. None of these schemes however, utilize data symbols in the channel estimation process.Recently, high mobility transmission has been considered as one of the important key features of LTE standard. This standard needs to provide support for high mobility users that move at speeds up to 350 Km/h. When users are highly mobile, the multipath wireless channel becomes time-variant and frequency-selective within one OFDM Symbol. The Doppler spread, caused by mobility, destroys the orthogonality and creates inter-carrier interference (ICI) between OFDM subcarriers. As a consequence, the existing channel estimation methods that assume an invariant

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