LMMSE Channel Estimation Algorithm Based on Channel Autocorrelation Minimization for LTE-Advanced with Adaptive Guard Interval

Kavitha, K. V. N.; Manikandan, S.

doi:10.1007/s11277-014-2181-5

Cited by 3 publications

(1 citation statement)

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“…This method depends on prior information regarding the channel's impulse response and on the appropriate placement of pilots across the OFDM subcarriers. Although the length of CIR can be obtained from the knowledge of the channel autocorrelation function by using the adaptive guard interval (GI) as given in [20], the length of the channel may not be guaranteed to be equal to exact integer multiples of the number of pilot subcarriers.…”

Section: Introductionmentioning

confidence: 99%

A DFT-based Low Complexity LMMSE Channel Estimation Technique for OFDM Systems

Patra¹,

Pradhan²,

Singh³

2022

JTIT

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The linear minimum mean square error (LMMSE) channel estimation technique is often employed in orthogonal frequency division multiplexing (OFDM) systems because of its optimal performance in the mean square error (MSE) performance. However, the LMMSE method requires cubic complexity of order O(N 3 p ), where Np is the number of pilot subcarriers. To reduce the computational complexity, a discrete Fourier transform (DFT) based LMMSE method is proposed in this paper for OFDM systems in the frequency selective channel. To validate the proposed method, the closed form mean square error (MSE) expression is also derived. Finally, a computer simulation is carried out to compare the performance of the proposed LMMSE method with the classical LS and LMMSE methods in terms of bit error rate (BER) and computational complexity. Results of the simulation show that the proposed LMMSE method achieves exactly the same performance as the conventional LMMSE method, with much lower computational complexity.

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Section: Introductionmentioning

confidence: 99%