A second-feature extraction based High Frequency emitter direction finding cross location algorithm

X. Shen, R. Liu, W. Ji, D. Liu & X. Zhang · 2015

Determining the location of an emitter is one of the fundamental functions of electronic warfare systems [1]. Especially for High Frequency (HF) band which is the earliest utilized by human beings and has vital military uses [2]. The location of a HF emitter is a hot research point with a long history. The location of a HF emitter is often estimated from two steps. First the parameters which will be used in the location algorithm are estimated. Then these parameters are used in the location algorithm to estimate the target location of a HF emitter. Depending on the classification of these parameters, the HF emitter location method can be divided into three main categories: Direction Of Arrival (DOA) based method, Time Difference Of Arrival (TDOA) based method and direction and time difference of arrival based method [3-9]. In the DOA based method, the emitter location is obtained by intersecting the direction bearing lines taken at different direction finding stations. This method is referred as triangulation and is firstly proposed by Stansfield [3]. In the TDOA based method, the arrival time of the same signals is measured between different Direction Finding (DF) stations. The direction and time difference of arrival based method needs the DOA and TDOA parameters in the meantime. But estimation of the arrival time is critical in strict time synchronization. And moreover the method using TDOA parameter increase the system complexity. Therefore over the last few years, the DOA based method with low system complexity requirements has been large-scale applied in the engineering fields. And in these applied DOA based system, the process of the DOA is a hot point and has been much more researched to increase the location accuracy [10-12]. However the location accuracy of the applied DOA based method is much lower than that of these other two methods. It requires efforts to increase the location accuracy and decrease the location error of the DOA based method.

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