Intermittently Nonlinear Impulsive Noise Mitigation and Doppler Shift Compensation in UWA-OFDM Systems

Barazideh, Reza; Niknam, Solmaz; Natarajan, Balasubramaniam; Nikitin, Alexei V.

doi:10.1109/access.2019.2904010

Cited by 9 publications

(6 citation statements)

References 35 publications

(54 reference statements)

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“…The improved time-frequency synchronization method proposed in this paper is based on the fact that the Doppler effect has been shifted from a "wideband" to a "narrowband" problem, or the signal has been compensated for the wideband Doppler effect by resampling, etc. [8,36,37,[44][45][46][47][48]. The received signal is then subjected to fine time offset estimation and residual carrier frequency offset compensation to obtain more accurate and robust joint time-frequency synchronization.…”

Section: Proposed Synchronization Methodsmentioning

confidence: 99%

A Robust Time-Frequency Synchronization Method for Underwater Acoustic OFDM Communication Systems

Yang,

Wang,

Peng

et al. 2024

IEEE Access

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The strong multipath and long delay extensions can lead to large errors in the timing offset estimation and carrier frequency offset estimation of the Orthogonal Frequency Division Multiplexing (OFDM) underwater communication system, resulting in significant performance degradation. Therefore, this paper proposes a robust time-frequency synchronization method for OFDM systems. First, a new preamble based on Constant Amplitude Zero Autocorrelation (CAZAC) sequence is designed, and a new signal timing offset estimation method is developed based on the time domain characteristics of the preamble. Secondly, a two-stage frequency offset estimation (CFO) method is designed in the time domain followed by the frequency domain, which achieves a wide range of high-accuracy frequency offset estimation. Finally, an adaptive threshold signal first-arrival path detection method is proposed to achieve reliable detection of the position of the signal first-arrival path under complex multipath channels. The simulation, pool, and lake experiment results are provided to verify the reliability and effectiveness of this method. Compared with the traditional methods, the proposed method can more accurately obtain the signal timing position and estimate the CFO in complex multipath channels, and at the same time greatly expand the estimation range of the CFO.INDEX TERMS Carrier frequency offset, time synchronization, OFDM, underwater acoustic communications.

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Section: Proposed Synchronization Methodsmentioning

confidence: 99%

A Robust Time-Frequency Synchronization Method for Underwater Acoustic OFDM Communication Systems

Yang,

Wang,

Peng

et al. 2024

IEEE Access

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“…Impulsive noise is human made noise having non Gaussian characteristics, exhibiting adverse effects in communication systems such as great capacity loss and poor error rate performance [4,5]. In [6][7][8][9], authors are taking benefit of the processing in analog domain whereas IN is separable and broadband. But for analog domain technique, finding thresholds s is not trivial.…”

Section: Introductionmentioning

confidence: 99%

Impulsive Noise Cancellation in OFDM System Using Low Density Parity Check

Irum¹,

Fayyaz²,

Ayub³

et al. 2023

Computer Systems Science and Engineering

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An effective communication application necessitates the cancellation of Impulsive Noise (IN) from Orthogonal Frequency Division Multiplexing (OFDM), which is widely used for wireless applications due to its higher data rate and greater spectral efficiency. The OFDM system is typically corrupted by Impulsive Noise, which is an unwanted short-duration pulse with random amplitude and duration. Impulsive noise is created by humans and has non-Gaussian characteristics, causing problems in communication systems such as high capacity loss and poor error rate performance. Several techniques have been introduced in the literature to solve this type of problem, but they still have many issues that affect the performance of the presented methods. As a result, developing a new hybridization-based method is critical for accurate method performance. In this paper, we present a hybrid of a state space adaptive filter and an information coding technique for cancelling impulsive noise from OFDM. The proposed method is also compared to Least Mean Square (LMS), Normalized Least Mean Square (NLMS), and Recursive Least Square (RLS) adaptive filters. It has also been tested using the binary phase-shift keyed (BPSK), four quadrature amplitude modulation (QAM), sixteen QAM, and thirty-two QAM modulation techniques. Bit error Rate (BER) simulations are used to evaluate system performance, and improved performance is obtained. Furthermore, the proposed method is more effective than recent methods.

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“…Fundamentally, the image is improved by removing noise when performing spatial operations in the local neighbourhood of the input pixels. Non-linear filters do not utilize a mask and operate directly on pixel values at neighbouring pixels (Barazideh et al, 2019;Mythili et al, 2020). Nonlinear filters are maximal, minimal and median filter.…”

Section: Introductionmentioning

confidence: 99%

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

Raja

Naveen

Palaniswamy

et al. 2021

Transactions of the Institute of Measurement and Control

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Filtering is one of the essential tools utilized to remove undesirable features in biomedical images. Most biomedical image denoising systems are used for clinical diagnosis. So, in this paper, we use the advanced trilateral filter in the field programmable gate array (FPGA) for removing noise in the biomedical image. Generally, the trilateral filter is used as an edge preserving smoothing filter. This advanced approach of trilateral filter gives the best noise diminution and enhances the image quality. This paper also proposes the hardware implementation of an efficient FPGA-based advanced trilateral filter on real time execution. In this manuscript, we intend to design and implement the FPGA architecture using an advanced trilateral filter. Biomedical images with different noises are used during implementation and compared with the existing bilateral and trilateral architecture to assess the proposed architecture performance. For evaluating the performance metrics of the proposed advanced trilateral filter on MATLAB platform, peak signal-to-noise ratio (PSNR), mean squared error (MSE) and structured similarity index (SSIM) are calculated for different biomedical images – such as brain (MRI), chest (x-ray) and lungs (CT) – with different noises – such as salt and pepper, Gaussian, Poisson and Speckle noises – compared with existing bilateral filter and trilateral filter, respectively. The proposed advanced trilateral filter implementations are checked on Virtex-6, Virtex-7 and Zynq FPGA development board using Verilog programming language in Xilinx ISE 14.5 design tools. The simulation outcomes display that the FPGA execution of the advanced trilateral filter contains better noise removal efficiency in biomedical images compared with the existing bilateral and trilateral filter.

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Intermittently Nonlinear Impulsive Noise Mitigation and Doppler Shift Compensation in UWA-OFDM Systems

Cited by 9 publications

References 35 publications

A Robust Time-Frequency Synchronization Method for Underwater Acoustic OFDM Communication Systems

A Robust Time-Frequency Synchronization Method for Underwater Acoustic OFDM Communication Systems

Impulsive Noise Cancellation in OFDM System Using Low Density Parity Check

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

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