Bit error probability of M-QAM under η-μ or κ-μ fading and impulsive noise gated by a signal characterized by a Markov process or Poisson process

Silva, Hugerles S.; Alencar, Marcelo S.; Queiroz, Wamberto J. L.; Almeida, Danilo Brito Teixeira de; Madeiro, Francisco

doi:10.1016/j.dsp.2020.102699

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…For example, in 3D detection of military targets, these 3D images need to be sent back to the ground station in real time, thus to guide the flight path or attitude adjusting by the drone operator. While transmitting on air-to-ground channel, these 3D images (videos) suffer from fading, noises, and interferences (such as radar signal jamming and a periodic strong pulse jamming) [3][4][5], and these will inevitably lead to bit errors at the receiver. A certain number of errors will cause changes in the shape and color of the 3D object and degrade the image quality.…”

Section: Introductionmentioning

confidence: 99%

Performance of Polar-Coded 3D Image Transmission over Fading Channel

Hao

Liu

Chen

2020

Mathematical Problems in Engineering

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Any signal transmitted over an air-to-ground channel is corrupted by fading, noise, and interference. In this paper, a Polar-coded 3D point cloud image transmission system with fading channel is modeled, and also the simulation is performed to verify its performance in terms of 3D point cloud image data transmission over Rician channel with Gaussian white noise and overlap of Gaussian white noise + periodic pulse jamming separately. The comparison of Polar-coded scheme with RS-coded scheme in the same scenario indicates that Polar-coded system gives far better performance against AWGN noise and fading than the RS-coded system does in the case of short block length. But RS-coded scheme shows better performance on antipulse jamming than that of Polar-coded scheme, while there is no interleaving between codewords.

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Section: Introductionmentioning

confidence: 99%

Performance of Polar-Coded 3D Image Transmission over Fading Channel

Hao

Liu

Chen

2020

Mathematical Problems in Engineering

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Channel equalization through pre‐denoising using a hybrid multiscale decomposition in an impulsive noise environment

Wilson,

Panigrahi,

Mishra

et al. 2024

Int J Communication

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SummaryIn wireless communication, impulsive noise often degrades channel quality, which poses challenges for equalizers. Although robust equalization methods offer some effectiveness, the occurrence of impulsive noise after training significantly impacts the symbol error rate (SER). To mitigate this issue, we propose a method that involves denoising the received signal using robust wavelet decomposition before equalization. This approach combines the discrete wavelet transform with median and morphological filters to reduce impulsive noise. A pre‐impulsive noise detection mechanism triggers denoising only when impulsive noise is detected. We evaluate the SER performance of the proposed technique using simulations of a 16‐QAM orthogonal frequency division multiplexing (OFDM) system with kernel interpolation‐based frequency domain equalization (FDE) in a Rayleigh fading channel with impulsive noise. Results show that our approach achieves SER levels comparable to conventional methods in Gaussian noise scenarios, demonstrating its effectiveness in challenging wireless communication environments. The simulation results demonstrate that the proposed technique in non‐Gaussian noise gives the SER on par with the FDE in a Gaussian noise environment.

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Bit error probability of M-QAM under η-μ or κ-μ fading and impulsive noise gated by a signal characterized by a Markov process or Poisson process

Cited by 2 publications

References 32 publications

Performance of Polar-Coded 3D Image Transmission over Fading Channel

Performance of Polar-Coded 3D Image Transmission over Fading Channel

Channel equalization through pre‐denoising using a hybrid multiscale decomposition in an impulsive noise environment

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