Frequency Hopping Communications Network Sorting Method And Simulation,

Frequency hopping communication networking can expand the covering scope of radio stations, enhance the communication capacities and efficiently improve single radio's abilities of interference, anti-tracking, and anti-interception. Therefore, it becomes very important to do some research about FH communication networking. In this dissertation, my main work is to sorting the FH signals. It includes the following several aspects:1) The basic principle of Frequency Hopping Communication System (FHCS) is presented. The main technical indicators and characteristics of FHCS are all described. At the same time, the common networking mode of FHCS is studied as well as it's principle and characteristics.2) The sorting of Frequency hopping radios bases on finishing the work of intercepting, manipulating signals and estimating the parameters. So after the careful study of the working principles of Channelized Receiver, a pre-manipulating way of pushing aside all kinds of interference is proposed. Then use time-frequency analytic approaches, such as STFT, Winger-Ville and WT,etc, to estimate parameters of FH signals after pre-manipulating is done and analyze corresponding algorithm.3) The common methods of FH signal sorting have been studied and the shortcomings of those hose methods have been pointed out. We may adopt an algorithm named K-Means to complete FH signal's sorting. The simulation results show that this method has a good sorting effect.4) An algorithm named ICA (Independent Component Analysis) is expounded to separate overlapped frequency-hopping signals. A simulation experiment has proved that the algorithm had a good separation effect though lack of any prior parameter. The algorithm ICA is a new ides to sort the FH networking signals.