Airborne Passive Location In The Information Fusion Technology Research

In electronic countermeasure passive location and tracking system are playing a vital part due to the fact that it works"quietly"without emiting any signals that possibly expose self to attack of some kind. Among various applications, single observer passive location and tracking (SOPLAT) system, outweights another candidate scheme, multisensor location and trackingsyetem, avoiding data synchronization and fusion in the latter. Therefore SOPLAT has become a focus. In this thesis, Passive location algorithms based on particle filter are discussed and Monte Carlo experimental results prove effectiveness of those algorithms. Regarding different scenarios the following part of the thesis is arranged as follows.In the first chapter, background and current situation in location and tracking are briefly introduced.For completeness of discussion Chapter 2 provides fundamental of particle filter.Chapter 3 considers location of a stationary target. After introducing the nonlinear filtering technique of particle filtering, location algorithm is implemented by particle filtering. On the base of fusing information of bearing and distance, a fast passive location algorithm based on particle filter is got.Fitting of flight path is an important part of location. Chapter 4 introduces three algorithms of linear regression. After comparing these algorithms, the best of them is applied to fitting of flight path. Convergence criterion is designed for Kalman filtering at last.In the last chapter, implementing the location algorithm by DSP and FPGA is the main work. The programs of location and fitting of flight path are designed in VisualDSP++ environment, the interface control module with CPCI is implemented by FPGA.