SNR estimation and jamming detection techniques using wavelets

详细信息   

• 作者：Quiros ; Paula Quintana ; M.S.
• 学历：M.S.
• 年：2014
• 关键词：Electrical communications ; Estimation ; Jamming detec
• 导师：Tsang,Chit-Sang
• 毕业院校：California State University
• Department：Electrical Engineering
• 专业：Electrical engineering,Computer science
• ISBN：9781321357547
• CBH：1569590
• Country：USA
• 语种：English
• FileSize：3307257
• Pages：127

文摘

An SNR estimation approach and a jamming detector based on wavelet transform theory are presented. The SNR estimator is an in-service,non-data aided estimator that operates on M-PSK and QAM modulated signals transmitted over baseband CWGN channels. The signal and noise power are separated through a non-linear wavelet technique known as denoising. Two wavelet-based estimators are presented. The first method uses hard thresholding which extracts the amplitude trend over one or several symbol periods,depending on whether the modulation is constant or multi-level envelope. The second method uses adaptive soft-thresholding and applies a self-similarity criterion between the signal and wavelet. A SNR Moments estimator was also developed as a reference for evaluation purposes. A jamming detector based on discontinuity recognition using wavelets is presented. The detector is implemented for constant-envelope modulation schemes,leaving the multi-level case for future research.