A Frequency Selection Method Based on Fusion Algorithm in Bistatic HFSWR

摘要：

　　T/R-R High Frequency Surface Wave Radar can detect targets over the horizon.There is a large difference in working environment between stationary station and mobile station.The traditional frequency selection methods are hard to choose the best operating frequency for the T/R-R High Frequency Surface Wave Radar(HFSWR), and this flaw seriously affects detection performance and target positioning accuracy of the radar.This paper adopts the weighted fusion algorithm based on Kalman filter to fuse the spectrum information of the T/R-R bistatic radar in the electromagnetic environment, and selects the optimal working frequency band by average power and variance combination minimum, then finds the best operating frequency based on maximum signal-to-noise ratio(SNR) criterion of the target.Simulation results demonstrate the effectiveness of the adopted frequency method.

作者: Chen Weiwei Yu Changjun Chcn Wentao

作者单位: School of Information and Electrical Engineering Harbin Institute of Technology at Weihai Weihai, China

会议类型: 国际会议

会议名称: 2013 International Symposium on Antennas and Propagation(2013天线与传播国际会议)

会议地点: 南京

会议语种:英文

页码: 1040-1043

在线出版日期: 2013-10-23（万方平台首次上网日期，不代表论文的发表时间）