Channel estimation based on superimposed pilot and weighted averaging

Wu, Qun; Zhou, Xiao; Wang, Chengyou; Qin, Zhiliang

doi:10.1038/s41598-022-14482-6

Cited by 8 publications

(3 citation statements)

References 35 publications

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“…To enhance its performance, numerous denoising strategies have been proposed in the existing literatures. Wu et al [15] proposed a weighted averaging channel estimation method according to the temporal correlation of wireless channels. Based on the LS estimation, the channel coefficients of two adjacent OFDM symbols are weight-averaged.…”

Section: Introductionmentioning

confidence: 99%

A Double-Threshold Channel Estimation Method Based on Adaptive Frame Statistics

Song,

Zhou,

Wang

et al. 2023

Mathematics

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Channel estimation is an important module to enhance the performance of orthogonal frequency division multiplexing (OFDM) systems. However, the presence of a large amount of noise in time-varying multipath fading channels significantly affects the channel estimation accuracy and thus the recovery quality of the received signals. Therefore, this paper proposes a double-threshold (DT) channel estimation method based on adaptive frame statistics (AFS). The method first adaptively determines the number of statistical frames based on the temporal correlation of the received signals, and preliminarily detects the channel structure by analyzing the distribution characteristics of multipath sampling points and noise sampling points during adjacent frames. Subsequently, a multi-frame averaging technique is used to expand the distinction between multipath and noise sampling points. Finally, the DT is designed to better recover the channel based on the preliminary detection results. Simulation results show that the proposed adaptive frame statistics-double-threshold (AFS-DT) channel estimation method is effective and has better performance compared with many existing channel estimation methods.

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Section: Introductionmentioning

confidence: 99%

A Double-Threshold Channel Estimation Method Based on Adaptive Frame Statistics

Song,

Zhou,

Wang

et al. 2023

Mathematics

Self Cite

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“…Most existing wireless communication technologies have attempted to increase reliability by using signal compensation techniques [8][9][10] or differential techniques 11 . The former relies on channel estimation using a previously known signal, i.e.…”

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confidence: 99%

Design of Transmitter and Receiver to Achieve Ultra-reliability and Low Energy Communication

Nguyen,

Ta,

2024

Preprint

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High reliability and low energy communication are the important requirements for future communication systems. Existing approaches mainly attempted to correct modulated signals using channel estimation or increase signal strength using diversity techniques; the former revealed its limitations in a fast-fading environment, and the latter conflicted with green communication. In our approach, the transmitter transmits a compound signal consisting of a modulated signal and a dummy signal with no bandwidth that belong to the coherence bandwidth. Since the two signals experience approximately the same distortion and noise, the receiver can use a differential operation to remove distortion and suppress background noise. This approach halves the strength of each signal but satisfies the requirements by significantly improving SNR. Experiments using two testbeds, a digital communication platform using FPGA, and a testbed using three WLAN devices, show that our method achieves significantly lower SNR than existing ones at the same BER.

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“…As the channel is always changing with time in the actual environment, the non-stationary channel tracking should be considered, that is the channel must be re-estimated and updated progressively. The pilot-based channel estimation method has the advantages of low computational complexity and fast convergence, which is suitable for the real-time application of sensing signal transmission in a non-stationary channel 3,4,[15][16][17] . Furthermore, a high precision and sensitivity detection method is also essential to realize the identification of weak signals.…”

mentioning

confidence: 99%

Weak signal extraction in non-stationary channel with weak measurement

Song,

Li,

Huang

et al. 2023

Commun Phys

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An emerging challenge of integrated communication and sensing is the extraction of weak sensing signals transmitted through an unknown non-stationary channel. In this work, we propose a weak signal extraction method with weak measurement. Taking advantage of time division multiplexing, we preliminarily estimate the channel via adjustable finite impulse response filter, further suppressing the interfering signal caused by background noises via spectrum shift. By subsequently using the time-varying phase estimation method via weak measurement, the real-time detection of weak signals in the non-stationary channel is achieved. We demonstrate via theoretical analysis and confirmatory experiment that our method is able to amplify the phase shift, to suppress technical noise and to improve detection resolution limit, while proving robust against light source fluctuations, initial phase differences and detector saturation. The method hence enables weak sensing signal extraction with a low signal-to-noise ratio non-stationary channel. Furthermore, we interface our measurement method to squeezed light sources, offering the possibility of surpassing standard quantum limit.

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Channel estimation based on superimposed pilot and weighted averaging

Cited by 8 publications

References 35 publications

A Double-Threshold Channel Estimation Method Based on Adaptive Frame Statistics

A Double-Threshold Channel Estimation Method Based on Adaptive Frame Statistics

Design of Transmitter and Receiver to Achieve Ultra-reliability and Low Energy Communication

Weak signal extraction in non-stationary channel with weak measurement

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