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A software sampling frequency adaptive algorithm for reducing spectral leakage

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Frontiers of Electrical and Electronic Engineering in China 2006年第4期1卷 375-379页

作者： PAN Li-dong WANG Fei College of Electronic and Information Engineering Hebei UniversityBaoding 071002China

spectral leakage caused by synchronous error in a nonsynchronous sampling system is an important cause that reduces the accuracy of spectral analysis and harmonic *** paper presents a software sampling fre-quency adaptive algorithm that can obtain the actual signal frequency more accurately,and then adjusts sampling in-terval base on the frequency calculated by software algo-rithm and modifies sampling frequency *** can reduce synchronous error and impact of spectral leakage;thereby improving the accuracy of spectral analysis and harmonic measurement for power system signal where fre-quency changes *** algorithm has high precision just like the simulations show,and it can be a practical method in power system harmonic analysis since it can be implemented easily.

关键词： sampling frequency spectral leakage synchro-nous error self-adaptive harmonic analysis

Enhanced Wideband Frequency Estimation via FFT: Leveraging Polynomial Interpolation and Array Indexing

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Journal of Computer and Communications 2024年第1期12卷 35-48页

作者： Kiran Jayarama Chien-In Henry Chen Digital Receiver Laboratory Department of Electrical Engineering Wright State University Dayton OH USA

Accurate frequency estimation in a wideband digital receiver using the FFT algorithm encounters challenges, such as spectral leakage resulting from the FFT’s assumption of signal periodicity. High-resolution FFTs pose computational demands, and estimating non-integer multiples of frequency resolution proves exceptionally challenging. This paper introduces two novel methods for enhanced frequency precision: polynomial interpolation and array indexing, comparing their results with super-resolution and scalloping loss. Simulation results demonstrate the effectiveness of the proposed methods in contemporary radar systems, with array indexing providing the best frequency estimation despite utilizing maximum hardware resources. The paper demonstrates a trade-off between accurate frequency estimation and hardware resources when comparing polynomial interpolation and array indexing.

关键词： Scalloping Loss Goertzel’s Algorithm Super-Resolution Fast Fourier Transform (FFT) Decimation in Frequency (DIF) Decimation in Time (DIT) spectral leakage Frequency Estimation

Windowing Techniques, the Welch Method for Improvement of Power Spectrum Estimation

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Computers, Materials & Continua 2021年第6期67卷 3983-4003页

作者： Dah-Jing Jwo Wei-Yeh Chang I-Hua Wu Department of Communications Navigation and Control EngineeringTaiwan Ocean UniversityKeelung202-24TaiwanChina Innovative Navigation Technology Ltd. Kaohsiung801TaiwanChina

This paper revisits the characteristics of windowing techniques with various window functions involved,and successively investigates spectral leakage mitigation utilizing the Welch *** discrete Fourier transform(DFT)is ubiquitous in digital signal processing(DSP)for the spectrum analysis and can be efciently realized by the fast Fourier transform(FFT).The sampling signal will result in distortion and thus may cause unpredictable spectral leakage in discrete spectrum when the DFT is *** is implemented by multiplying the input signal with a window function and windowing amplitude modulates the input signal so that the spectral leakage is evened ***,windowing processing reduces the amplitude of the samples at the beginning and end of the *** addition to selecting appropriate window functions,a pretreatment method,such as the Welch method,is effective to mitigate the spectral *** to the noise caused by imperfect,nite data,the noise reduction from Welch’s method is a desired *** nonparametric Welch method is an improvement on the periodogram spectrum estimation method where the signal-to-noise ratio(SNR)is high and mitigates noise in the estimated power spectra in exchange for frequency resolution *** periodogram technique based on Welch method is capable of providing good resolution if data length samples are appropriately *** design of nite impulse response(FIR)digital lter using the window technique is rstly *** inuence of various window functions on the Fourier transform spectrum of the signals is *** on spectral resolution based on the traditional power spectrum estimation and various window-function-based Welch power spectrum estimations is presented.

关键词： Window functions Welch method discrete Fourier transform spectral leakage

A Blackman-Harris windowed triple-spectrum-line interpolation method for measuring SNR of ADCs

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Journal of Measurement Science and Instrumentation 2017年第4期8卷 321-327页

作者： YU Zhi-guo SUN Yi-zhou HUANG Pu HE Qin GU Xiao-feng Engineering Research Center of IoT Technology Applications (Ministry of Education) Wuxi 214122 China Department of Electronic Engineering Jiangnan University Wuxi 214122 China

In the practical measurement of signal to noise ratio(SNR)of analog-to-digital converters(ADCs)by using fast Fourier transformation(FFT)method,the non-coherent sampling is inevitable,leading to spectral leakage which in turn affects the calculation accuracy and final measurement *** this paper,a new method based on the Blackman-Harris windowed triple-spectrum-line interpolation is presented for the measurement of ADCs SNR by *** simulation platform is built based on MATLAB and the behavioral dynamic models of the high-speed ADC products of Analog Devices Inc.(ADI)are *** simulation results show that,even in the case of the maximum non-coherent degree,the SNR error is less than0.23dB and reaches the testing standards provided by ADI,confirming that the proposed method is effective for suppressing the spectral leakage effects and improving the SNR test accuracy.

关键词： Blackman-Harris windowed signal to noise ratio (SNR) triple-spectrum-line interpolation spectral leakage non-coherent sampling