title: Dynamic Digital Channelizer Based on Spectrum Sensing.
abstract: The ability to efficiently channelize a received signal with dynamic sub-channel bandwidths is a key requirement of software defined radio (SDR) systems. The digital channelizer, which is used to split the received signal into a number of sub-channels, plays an important role in SDR systems. In this paper, a design of dynamic digital channelizer is presented. The proposed method is novel in that it employs a cosine modulated filter bank (CMFB) to divide the received signal into multiple frequency sub-bands and a spectrum sensing technique, which is mostly used in cognitive radio, is introduced to detect the presence of signal of each sub-band. The method of spectrum sensing is carried out based on the eigenvalues of covariance matrix of received signal. The ratio of maximum-minimum eigenvalue of each sub-band is vulnerable to noise fluctuation. This paper suggests an optimized method to calculate the ratio of maximum-minimum eigenvalue. The simulation results imply that the design of digital channelizer can effectively separate the received signal with dynamically changeable sub-channel signals.
authors: School of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China.
authors: Junpeng
authors: J
authors: Hu
authors: School of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China.
authors: Zhen
authors: Z
authors: Zuo
authors: School of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China.
authors: Zhiping
authors: Z
authors: Huang
authors: School of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China.
authors: Zhi
authors: Z
authors: Dong
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D011846:Radio Waves; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013057:Spectrum Analysis / Q000379:methods*