Multiple Target Direction Finding Cross Location Algorithm Research Quickly

In modern electronic warfare, passive location plays an increasingly important role in electronic support system by its characteristic of strong concealment, strong anti-interference ability and far detection range. Multi-stations’cross-location, one method of passive location that is early researched and has been widely applied, uses direction to locate the position of the emitters that perfectly overcomes the modern complex signal environment. So, more countries have put emphasis on the research of multi-stations’cross-location.In this thesis, properties of the existing direction finding techniques and methods of eliminating false intersection points are analyzed.Firstly, the common direction finding methods are analyzed, such as interferometer direction-finding and spatial spectrum estimation technique. Based on real-valued property of the non-circular sources, a method for DOA estimation of uniform linear array is researched by extending the original array utilizing the conjugate data of the real array. It provides much better performance than the original array.Secondly, the multi-target cross location approach is discussed in the case that direction grouped is determined. Besides, an enumeration method to eliminate the false points is presented. However, it needs a great amount computation. Hence, a fast algorithm named iterative reweighted combinational residual minimum algorithm (IRCRM) is proposed because of the drawback of enumeration method. The computational efficiency of proposed algorithm is two orders of magnitude higher than enumeration method and positioning performance deteriorates at acceptable range. Finally, theoretical analysis and computer simulation results show that its advantage of the proposed method.