Interference Analysis And Investigation Method For Electronic Devices On Ships

Marine war occupies an important position in modern war.Since the 1980s,a series of local wars illustrate the importance of the electronic equipment to the sea combat forces.The dominance of electronic equipment based shipboard electronic systems has largely become a primary factor which can decide the result of the marine war.The ship is a mobility platform which has the capability of combat.It can sail for several weeks or months in the case of almost no assistance and supplies.In order to ensure the combat capacity of the ship,a large number of electronic devices are equipped on the ship,which results the ship interference situation between electronic devices not optimistic.The environment around the electronic equipment is harsh,so that the interference situation becomes more complex.This take tasks to the ship security and combat capability.Therefore,this paper mainly studies interference between electronic devices on ships.This study includes the following two parts:1)Researching the interference analysis method between electronic devices which are on board.First,based on a lot of research,this thesis classifies a large number of electronic devices of the ship,and then the deterministic analysis method for interference between various kinds of equipment.On this basis deterministic analysis is applied,getting a curve which describes the relationship between the frequency isolation and the distance isolation.Next,simulation models of interference are created.Through simulation,a curve which describes the relationship between the signal to interference ratio and bit error rate is obtained.Based on the result,taking the ship formation as a whole,we analyze the situation of all devices interfering one device.2)Researching the interference investigation methods in the case of the interference happen.The main idea of the method is constructing the signal template,and draws ideological from the distance classifier to recognize the interference signal.Through simulation of the modulation signal and the actual signal,signal recognition accuracy rate is 90%and 83%separately.After using neural network algorithm to improve the investigation of interference,signal recognition accuracy increases.