A Novel Parameter-Tuned Stochastic Resonator for Binary PAM Signal Processing at Low SNR

Liu, Jin; Li, Zan; Guan, Lei; Pan, Lei

doi:10.1109/lcomm.2014.011214.132465

Cited by 34 publications

(35 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, γ b /(c f T b f c ) is directly related to the output SNR of the SQPW, which proves that the input signal frequency components below f c passes. In addition to that, (14) is a supplement to the one in [15]. The former is specific for the filter usage, while the latter is for the weak signal detection.…”

Section: The Effect Of Cutoff Frequencymentioning

confidence: 99%

“…To take advantage of the double well potential behaviors, they are effectively implemented as signal processing block sets within the receiver architecture. Examples of implementation have been shown for binary phase shift keying (BPSK) [9], frequency shift keying (FSK) [10], minimum shift keying (MSK) [11], and binary pulse amplitude modulation (BPAM) [12][13][14][15][16][17]. Upon implementation, these block sets are more generically referred to as a stochastic resonator.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Symmetric Quartic Potential Well for Noise Filtering

2018

View full text Add to dashboard Cite

In this letter, a symmetric quartic potential well is considered for use as a low-pass filter in BPAM receivers. By using the BPAM input to force a change in the shape of the well, the output can be considered as the position of a particle in the well. The potential well has been designed to pass the BPAM signal and suppress the background noise. Within the paper, DC gain and cut-off frequency are defined where the potential well is subject to a noise free single pulse. The effects of the background noise are also discussed. These initial results are applicable to other pulse modulation methods. Moreover, it is revealed that the cut-off frequency plays a significant role on the BPAM detector. Finally, a new result for the probability of error is introduced which clearly shows that the potential well filters out the background noise as much as a lowpass Butterworth filter does.

show abstract

Section: The Effect Of Cutoff Frequencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Use of Symmetric Quartic Potential Well for Noise Filtering

2018

View full text Add to dashboard Cite

show abstract

“…Dalabaev et al [20] studied the application of PSR in baseband digital signals. Liu et al [21] proposed a PSR receiver to improve the reception performance of PAM signals. Liang et al [22] derived the expression of the bit error rate of the bistable stochastic resonance system under the coherent receiver.…”

Section: Introductionmentioning

confidence: 99%

Adaptive parameter-tuning stochastic resonance based on SVD and its application in weak IF digital signal enhancement

Zhang

2019

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

Parameter-tuning stochastic resonance can effectively use noise to enhance signal energy, whereas its system parameters are hard to select, and how to combine it with more practical signals needs to be researched. In this study, the IF (intermediate frequency) digital signal with low SNR (signal-noise ratio) is selected as the research object, and the measuring function based on SVD (singular value decomposition) that is not dependent on prior knowledge is proposed as the evaluation function to optimize the parameters of stochastic resonance system. The nature of the stochastic resonance is first described from the eigenspace of the signal. After the analysis of the effects of different system parameters, amplitude normalization is employed to optimize only one parameter, simplifying the algorithm. Finally, an adaptive parameter-tuning stochastic resonance method based on AFSA (artificial fish swarm algorithm) is developed for three types of modulated signals, achieving an optimum matching of noisy signals and non-linear systems at fast convergence speed. According to the simulation, the proposed algorithm is proven effective, efficient, and robust, laying a solid foundation for the subsequent signal processing work.

show abstract

“…Further, the authors in [8, 9] investigated the relationship between the symbols period of the signal and the response rate. To ensure the benefit of cooperative, analytical expressions of the parameters of SR system were theoretically derived in [10–13], where the system parameters were adaptively adjusted. Also, parameter‐induced stochastic resonator is used in energy detection to decrease the SNR wall and in binary image to improve the transmission quality.…”

Section: Introductionmentioning

confidence: 99%