A Novel Signal Detection Algorithm for a Wide Band Detection-Finding System in the HF Band
This article describes a novel multi-dimension combination signal detection algorithm based on the space-frequency-energy domain for the raw data derived from highfrequency (HF) wide band direction-finding (DF) systems.According to the HF wide band DF data,the time-frequency-power spectrum and its corresponding azimuth information are first transformed into azimuth-frequency-energy spectrum of DF data along the time axis; then the noise characteristics of azimuth-frequency-energy spectrum are analyzed and the detection threshold is achieved by the Neyman-Pearson (N-P)criterion at one certain false alarm probability (PFA); finally the signals are detected by comparing the energy of every azimuth-frequency point with the detection threshold.Through simulation and raw data validation,this algorithm can detect the weak signals of HF wide band DF data.
projection transform noise characteristics N-P criterion signal detection HF wide band DF
Qin Shi Jin-yu Xiong Hua-feng Peng Lai-yuan Luo
Science and Technology on Blind Signal Processing Laboratory Chengdu,China Southwest Electronics and Telecommunication Technology Research Institute Chengdu,China
国际会议
杭州
英文
484-489
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）