A New Key Features Extraction Algorithm for Automatic Digital Modulation Recognition
This paper introduces a new algorithm for key features extraction of digital modulations recognition. This new algorithm utilizes complexity approach in which a set of value of Lempel- Ziv complexity for identifying different types of modulations is developed. The set of value is derived from three important parameters-the instantaneous amplitude, phase, and frequency of the intercepted digitally modulated signals. Computer simulations of different types of band-limited digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithm.
complexity modulation recognition features extraction
Sun Gangcan AN Jianping Yang Jie Zhou Ronghua
Department of Electronic Engineering, School of Information Science and Technology Beijing Institute of Technology Beijing, P.R.China
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）