Reliability of target selection in the network of geographically separated radar stations in joint processing of radar information in the conditions of relayed interference

Introduction: Radar information processing methods are used to identify targets at short observation intervals, based on the identification of marks of different radar stations and the parametric identification of a target. However, a mutual comparison of the effectiveness of using such methods of target selection in the conditions of relayed interference has not been carried out. Purpose: The comparison of the reliability of target selection in the conditions of relayed interference in a network of geographically separated radar stations for space surveillance with the implementation of correlation ellipsoid method, strobe method of target selection and spatial separation of measured target positions method. Results: We give the decision rules for dividing the space of coordinate difference of a target into subdomains to make a decision about the truth of the target. We have carried out simulation modeling of the target selection in the conditions of relayed interference and have obtained the dependencies for the change in the probability of erroneous selection of false marks on the normalized range which is measured from the middle of the spacing base of the two geographically separated radar stations. There are also quantitative estimates of the reliability of target selection for various conditions of radar surveillance by two geographically separated radar stations. The gain in increasing the normalized range with the use of the correlation ellipsoid method as compared to strobe methods of target selection and spatial separation of measured target positions method ranged from 36% to 46%. It is shown that in most practical situations one can use the simplest method, that is the spatial separation of measured target positions method, and when solving most important problems the correlation ellipsoid method can be used. Practical relevance: Research results can be used in the development of target selection algorithms in the conditions of relayed interference.