1. A new method of hybrid frequency hopping signals selection and blind parameter estimation
- Author
-
Xiaoyu Zeng, Huixian Sun, and Wencheng Jiao
- Subjects
Transformation (function) ,Computer science ,Estimation theory ,Military communications ,Sorting ,Process (computing) ,Frequency-hopping spread spectrum ,Algorithm ,Signal ,Selection (genetic algorithm) - Abstract
Frequency hopping communication is widely used in military communications at home and abroad. In the case of single-channel reception, it is scarce to process multiple frequency hopping signals both effectively and simultaneously. A method of hybrid FH signals selection and blind parameter estimation is proposed. The method makes use of spectral transformation, spectral entropy calculation and PRI transformation basic theory to realize the sorting and parameter estimation of the components in the hybrid frequency hopping signal. The simulation results show that this method can correctly classify the frequency hopping component signal, and the estimated error of the frequency hopping period is about 5% and the estimated error of the frequency hopping frequency is less than 1% when the SNR is 10dB. However, the performance of this method deteriorates seriously at low SNR.
- Published
- 2018