Abstract
In order to meet the requirement of passive radar source localization in electronic warfare, the concept of the virtual time differences of arrival (VTDOA) is proposed by taking advantage of the characteristics of the same UAV in different positions at different times and the periodic rotation of radar pulse signal. The VTDOAs are the passive localization information defined as the time differences of the radar pulse transmission from the radar position to different virtual receivers. Firstly, a nonlinear VTDOA (NVTDOA) localization model is constructed. Moreover, sufficient conditions for accurately calculating the periodic integers in the model are analyzed, and the observability conditions of the localization model determined are deduced. Secondly, the convergence solution of the NVTDOA localization equation is obtained by Cuckoo search algorithm; thus, passive radar source localization is realized. Finally, the performance of the proposed method is verified by comparing with the existing methods.
Highlights
Passive localization is a fundamental problem that usually accomplishes localization task using the radiation signals of the target without radiating electromagnetic wave signals outwards, which has been widely used in many fields such as radar [1], sonar [2], sensor network [3], and wireless communication [4].e passive localization method belongs to a two-step localization system
In order to overcome the shortcomings of the above time difference of arrival (TDOA) estimation, a norm approximation method was proposed by Wan [14]. e approximate mathematical expression of the main lobe beam pattern of the radar antenna is obtained at the receiving end, and the time point corresponding to the maximum value is used as the arrival time of radar signal to complete the estimation of virtual time differences of arrival (VTDOA) for radar signal
Based on the shortcomings of VTDOA, the nonlinear VTDOA (NVTDOA) localization model of periodic radiation source based on single-station small-load unmanned aerial vehicle (UAV) is established considering the integral characteristics of radar antenna rotation time difference
Summary
Passive localization is a fundamental problem that usually accomplishes localization task using the radiation signals of the target without radiating electromagnetic wave signals outwards, which has been widely used in many fields such as radar [1], sonar [2], sensor network [3], and wireless communication [4]. E method takes the rising time of pulse signals received by the UAV as the signal arrival time and builds localization equations based on UAV’s movement trajectory. E method utilizes the characteristics of a single-station small-load UAV in different positions at different times and the periodic rotation characteristics of radar pulse signals and uses VTDOA to complete the localization task. For the deficiency of the above algorithm, based on the motion characteristics of UAV and the periodic rotation characteristics of radar pulse signal, a new method of passive localization for the radar emitter based on Cuckoo search NVTDOA is proposed.
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