Research On Signal Source Location Observability And Tracking Technology

Active detection systems, such as radar and sonar, have encountered more and more threaten in modern electronic warfare and information warfare. The signal source location system, which uses electromagnetic wave emitted by target or opportunity transmitter, has proved its merits of self-hiding and far-distance detecting and highly independence, As the complement of active detection system, signal source location system can be widely used in many applications and it can help to improve viability and battle effectiveness of the whole system. Due to its slow speed and low accuracy in location, moreover, corresponding locating precision is sensitive to measurement errors, the traditional signal source location technology has proved itself hard to meet the demand of tactics. So it is an urgent trend to explore new location system and location technology with high precision and speed.The work in this dissertation is performed around the key problems of signal source location and tracking system.Firstly, this paper studies the models and principles of the signal source location systems. The signal source location system models, which are based on TDOA information, spatial information from opportunity transmitter, spatial and frequency range information from the transmitter, temporal and frequency range information from the transmitter are obtained respectively.In this paper signal source location algorithms are proposed. On the one hand, an algorithm that combines Chan algorithm with culture algorithm is proposed. This algorithm is used to solve nonlinear optimization problems in TDOA-based location. On the other hand, the algorithms using MGEKF (Modified Gain EKF), MVEKF (Modified covariance EKF) are deduced against the defect of traditional Extended Kalman Filtering. Furthermore, the performances of these algorithms are compared by means of the computer simulations.Secondly, the observability of the above location systems which are based on difference of time information and geometry using direction of arrival and Doppler frequency information and particle kinematics using difference of time and Doppler frequency information are studied respectively and their observable conditions are got.Thirdly, the applications of signal source location algorithms presented in chapter III are studied. Being combined with IMM, unscented transformation, date information fusion, multitarget location, these algorithms are used to solve several problems in practical situations.The fast independent component analysis algorithm of location parameter information is also studied.Finally, this paper studies the techniques in measuring the time of arrival (TOA) and Doppler frequency changing rate and the pulse repetition interval (PRI) and the difference of TOA..To sum up, signal source location is now the hotspot in the field of non-linear tracking and estimation. This dissertation thoroughly studies the signal source location technology. With the help of computer simulations, the methods discussed in this paper are proven to be correct and effective.