Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Adaptive primary user’s signal detection algorithm based on matrix accumulation estimation for cognitive radio | Wang et al. EURASIP Journal on Advances in Signal Processing 2011 2011 51 http content 2011 1 51 o EURASIP Journal on Advances in Signal Processing a SpringerOpen Journal RESEARCH Open Access Adaptive primary user s signal detection algorithm based on matrix accumulation estimation for cognitive radio Hongjun Wang1 2 Guangguo Bi 1 Zifa Zhong2 Shuo Zhang2 and Zaichen Zhang1 Abstract In this article a new adaptive primary user s signal detection algorithm for cognitive radio which integrates frequency-domain block adaptive filtering with a matrix accumulation estimation is presented with detailed description of the concept and process of the algorithm. Then the performance of the algorithm is analyzed and compared by simulation according to the practical requirement of cognitive radio. The result shows that the proposed detection algorithm can detect weak signals quickly and effectively with higher detection probability. Keywords cognitive radio signal detection block-FFT adaptive filter matrix accumulation estimation 1. Introduction The cognitive radio 1-5 can sense and recognize the changes of the electromagnetic environment and borrow a spectrum-hole to transmit information in real-time manner without bringing about any interference to primary users and other users around. It must release the borrowed channels and switch to the next spectrumhole as soon as primary users appear. The cognition must run through the whole communication process. The chief task of cognitive radio is to scout and determine the spectrum-hole that is cognitive radio should have the ability of detecting weak primary user signals from strong background noise 6-8 . Since the digital filters was presented the adaptive filters technology especially the adaptive least mean square LMS filters have been applied widely in scientific and technological domains such as communication systems and signal processing systems. Among the adaptive filters the adaptive block LMS filters
