Research On Signal Source Orientation And Location

With the increasing use of radio communication technology in all areas of military and civilian fields,there is a growing demand for signal source direction-finding and location technology.In the existing signal source direction-finding technology,interferometer direction-finding technology with its high precision,simple principle and high real-time advantages,has become a widely used key direction-finding technology.In the signal source location technology,time-of-arrival(TOA)location algorithm because of its better performance and strong applicability,has become one of the mainstream technology.This paper from the above two directions to start the study,the main contents are as follows:In the interferometer direction-finding algorithm,the correlation interferometer algorithm avoids the operation of the fuzzy phase by collecting the sample library and the correlation operation in advance,but in general,the sample base under the low elevation angle(or zero elevation angle)is easy to obtain,high elevation angle of the sample base is not easy to collect.However,the construction of a complete sample library is the key of the correlation interferometer direction-finding algorithm.Therefore,this paper proposes a correlation interferometer direction-finding algorithm in the case of elevation angle suppression.The algorithm can estimate the incident signal only by a known low elevation angle(or zero elevation angle)sample library.The simulation results show that the interferometer direction-finding algorithm proposed in this paper can accurately solve the elevation angle and azimuth information of the incident signal under the condition of the low elevation angle sample library.Compared with other positioning algorithms,the TOA localization algorithm has the advantages of good performance and strong applicability,but its positioning accuracy is easy to be affected by noise and multipath effects.Therefore,how to improve the accuracy and stability of TOA estimation is one of the key issues for signal source positioning.Aiming at this problem,this paper notes that the target has a sparse feature in space,so a positioning algorithms based on sparse reconstruction is proposed;at the same time it is noted that most of the existing TOA algorithm uses only a single sample to estimate target,the location results influenced by noise,therefore this paper further put forward by multi-sample joint estimation algorithm to improve noise robustness and improve the positioning accuracy of the algorithm.The simulation results show that the algorithm has higher positioning accuracy and stronger robustness than the existing algorithms.