Parameter Joint Estimation Based on Generalized Cyclic Correlation Spectrum in Alpha-stable Distribution Noise

• DOI: 10.1109/icet55676.2022.9825326
• Publication Date: 2022-07-14T19:43:50Z
• Authors: Xinxiang Li; Zheng Dou; Yaning Dong; Chuanzhang Wu
• Keywords: Alpha (finance); Stable distribution

Due to the fact that parameter estimation method of traditional second-order statistics fails under alpha-stable distribution noise, this paper proposes a two-parameter joint algorithm based on an optimized search strategy and generalized cyclic correlation spectrum (CCS). At same time, type normalized compression function which is similar "S" designed in because its ability suppress impulse noise. Firstly, cursory carrier frequency obtained by improved domain centering Welch, two thresholds are set axis corresponding result. The used divide range spectral peaks section about symbol rate estimation. And finally, discrete line extraction estimate accurate range. Simulation results show proposed can influence strong has adaptability changes mixed signal-to-noise ratios (MSNR), noise characteristic indexes, number sample points.