A low-complexity SNR estimation algorithm and channel estimation method for OFDM systems

He, Pei; Li, Zhixin; Wang, Xuan

doi:10.1109/icist.2014.6920573

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…The DA-SNR estimator has higher estimation accuracy than the NDA-SNR estimator but involves the insertion of a periodic pilot sequence, which is inefficient. Recently, there have been studies on preamble based DA-SNR estimators that can be classified into two groups: with and without throughput penalty [19]- [21]. The DA-SNR estimator that exploits the synchronization preamble does not incur a throughput penalty [20], [21].…”

Section: A Related Workmentioning

confidence: 99%

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Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Manzoor

Othman

2022

IEEE Access

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This paper presents an adaptive modulation in a single-input-single-output (SISO)-OFDM-based cooperative system that employs a Constant Amplitude Zero Autocorrelation (CAZAC) preamble-based SNR estimator. A novel CAZAC preamble-based SNR estimator that does not incur a throughput penalty is derived by exploiting a modified CAZAC preamble structure for the OFDM system. The proposed CAZAC SNR estimator is used to estimate the channel quality by finding the instantaneous SNR of the received cooperative data, which is sent to the transmitter via feedback channel. The modulation scheme is then changed according to the estimated SNR. The performance of the CAZAC preamble-based SNR estimator exhibits less than 0.02 dB and less than 0.2 dB bias when communicating over AWGN and SUI-5 channels, respectively. The proposed adaptive modulation scheme with the CAZAC SNR estimator significantly improved the channel throughput in comparison with the corresponding benchmarker scheme dispensing with adaptive modulation that invokes M -PSK and M -QAM. More explicitly, the proposed adaptive modulation system with the CAZAC SNR estimator that invokes M -PSK exhibits significant improvement by about 5 dB at BER=10 −3 in comparison to its corresponding benchmarker scheme dispensing with adaptive modulation when communicating over the SUI-5 channel. On the other hand, the relay-aided cooperative transmission exhibited an approximately 6 dB SNR gain in terms of channel throughput in comparison to the corresponding non-cooperative benchmarker scheme, and benefited from spatial diversity.

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Section: A Related Workmentioning

confidence: 99%

“…Some of the methods used in the derivation of SNR estimations are maximum likelihood [19], second order moment criteria [20], second and fourth order moments (M2M4) [16], and autocorrelation function [17]. In [20], second-order moment criteria are used to derive the SNR expression.…”

Section: A Related Workmentioning

confidence: 99%

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Manzoor

Othman

2022

IEEE Access

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“…Let Y(k, n) be the received OFDM signal in frequency domain corresponding to the k-th subcarrier in the n-th frame, and the actual received signal power S(n) for the n-th frame OFDM signal can be calculated as [39]:…”

Section: Estimation Of the Snrmentioning

confidence: 99%

A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems

2019

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Orthogonal frequency division multiplexing (OFDM) systems have inherent symmetric properties, such as coding and decoding, constellation mapping and demapping, inverse fast Fourier transform (IFFT) and fast Fourier transform (FFT) operations corresponding to multi-carrier modulation and demodulation, and channel estimation is a necessary module to resist channel fading in the OFDM system. However, the noise in the channel will significantly affect the accuracy of channel estimation, which further affects the recovery quality of the final received signals. Therefore, this paper proposes an efficient noise suppression channel estimation method for OFDM systems based on adaptive weighted averaging. The basic idea of the proposed method is averaging the last few channel coefficients obtained from coarse estimation to suppress the noise effect, while the average frame number is adaptively adjusted by combining Doppler spread and signal-to-noise ratio (SNR) information. Meanwhile, to better combat the negative effect brought by Doppler spread and inter-carrier interference (ICI), the proposed method introduces a weighting factor to correct the weighted value of each frame in the averaging process. Simulation results show that the proposed channel estimation method is effective and provides better performance compared with other conventional channel estimation methods.

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“…Reference [17] showed the feasibility of utilizing zero subcarrier to measure noise power and verified its performance through simulations. Reference [18] proposed a novel SNR estimation algorithm for OFDM system in the doubly selective channels by inserting special preambles. The noise variance was estimated by one preamble symbol in time domain.…”

Section: Introductionmentioning

confidence: 99%

Non Data-Aided SNR Estimation for UAV OFDM Systems

Liu

Tang

et al. 2020

Algorithms

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Signal-to-noise ratio (SNR) estimation is essential in the unmanned aerial vehicle (UAV) orthogonal frequency division multiplexing (OFDM) system for getting accurate channel estimation. In this paper, we propose a novel non-data-aided (NDA) SNR estimation method for UAV OFDM system to overcome the carrier interference caused by the frequency offset. First, an absolute value series is achieved which is based on the sampled received sequence, where each sampling point is validated by the data length apart. Second, by dividing absolute value series into the different series according to the total length of symbol, we obtain an output series by stacking each part. Third, the root mean squares of noise power and total power are estimated by utilizing the maximum and minimum platform in the characteristic curve of the output series after the wavelet denoising. Simulation results show that the proposed method performs better than other methods, especially in the low synchronization precision, and it has low computation complexity.

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A low-complexity SNR estimation algorithm and channel estimation method for OFDM systems

Cited by 5 publications

References 14 publications

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

Adaptive Modulation With CAZAC Preamble-Based Signal-to-Noise-Ratio Estimator in OFDM Cooperative Communication System

A Novel Noise Suppression Channel Estimation Method Based on Adaptive Weighted Averaging for OFDM Systems

Non Data-Aided SNR Estimation for UAV OFDM Systems

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