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Multi-sensor positioning and tracking radiation sources

Author: ZhangMin
Tutor: WeiPing
School: University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: passive localization target tracking coordinate system filter algorithm track management
CLC: TN953
Type: Master's thesis
Year: 2009
Downloads: 274
Quote: 5
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With the development of electronic reconnaissance,jamming and anti-radiation weapon technology, nowdays, radar, sonar and other active lacation systems have met more and more threats. However, passive localization and tracking system works silently without electromagnetic radiation, so it has the advantages of being hard to be deteced, strong anti-jamming ability and larger covering region. Therefore, it has important significance in improving the survival capability of electronic reconnaissance system in ECM environment in modern information war.The basic problem in target motion analysis (TMA) is to estimate the information (such as velocity, acceleration, positon) of an object emmitter from noise corrupted sensor data. Based on multiple sensor passive localization and tracking system, several technology problems of system are discussed in this dissertation. The main works can be summarized as follows.Firstly, the geometric model of localization is discussed. Because the system of coordinates is the premise of any location and tracking algorithm, basic knowledge about coordinate models in passive localization and tracking has been introduced. Based on WGS-84 model, a new method for the conversion from terrestrial coordinate to geographic coordinate is proposed.Secondly, basic theory and performance analysis of passive localization is discussed. The principle of DOA, TDOA and FDOA lacation technology is introduced briefly, and a new passive location algorithm using Direction of Arrival (DOA) measurements is proposed, which is the second innovation in this dissertation. It is shown to attain the Cramer-Rao lower bound (CRLB) near the small error region. In the following, CRLB is given and the influencing factors of Geometrical Dilution of Precision of multi-sensor passive location system that uses DOA measurements are analyzed.Thirdly, Basic theory of target tracking is researched. At first, basic elements of target tracking system is briefly introduced, and EKF, MGEKF and PF, which are the most common estimate algorithms, are simulated and analyzed. In the distributed multiple sensor passive lacalization and tracking system, the track management module and the data fusion module consists of the whole system. It makes a detailed description on the track management module, such as the process, the troubles to be solved, the function, the output and input, etc. At last, the differences between distributed and centralized target teacking system are simulated and analyzed. Simulation results show that the system is centralized or distributed depends on its own condition, different conditions makes it suitable for different systems and offer different performance.Additionally, probability hypothesis density (PHD) filter algorithm for multitarget tracking is discussed. The random finite sets (RFS) approach was proposed as a new mechanism to develop methods for multi-sensor multitarget tracking. Using RFSs to model the multi-target state and observation, the multi-target tracking problem can be formulated in a Bayesian filtering framework, which is completely different with traditional methods. Therefore, the PHD filter algorithm is the frontier research and also a difficulty in this dissertation. It is shown that the PHD algorithm can provide a good performance in estimating the number and state of targets. The PHD recursion has the distinct advantage that it operates only on the target state space and avoids data associations, so it thus has good prospects.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar tracking system
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