A Tri-Satellite Interference Source Localization Method for Eliminating Mirrored Location

Abstract

With the increase in satellite communication interference, the tri-satellite time difference of arrival (TDOA) localization technique, which is an effective method to determine the location of the interference using sensors or antennas, has been developed rapidly. The location of the interference source is determined through the intersection of the TDOA lines of position (LOP). However, when the two TDOA LOP have two mirrored intersection points, it is theoretically difficult to determine the real location. Aiming at this problem, a method for eliminating mirrored location based on multiple moment TDOA is proposed in this paper. First, the TDOA results are measured at multiple moments using the cross-ambiguity function (CAF), and the localization equation set is established based on the World Geodetic System (WGS)-84 earth ellipsoid model. Then, the initial location result can be obtained by solving the equation set through the Newton iteration method. Finally, the high-precision location result after eliminating the mirrored location is obtained after the single moment localization based on the initial location. Simulation experiments and real measured data processing results verify the effectiveness of the proposed method. It still has good robustness under the condition of large measurement errors and deviations from the prior initial values.

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

“…From the literature review, numerous geolocation and target-tracking algorithms based on electromagnetic propagation parameters have been considered [2,22,23]. In [24], the authors have studied the accuracy of emitter geolocation using the CAF approach. They proposed an approach to eliminate mirrored locations in tri-satellite TDOA localization based on TDOA measurements taken at many times to attain precision.…”

“…By substituting (24) in (25), it can achieve two waveforms transmitted in a BPSK of continuous-time or analog signals…”

A Fast Direct Position Determination Algorithm for LFM Signal Based on Spectrum Detection

“…Localization at High SNR. According to [46], in passive multistation localization, after obtaining TDOA measurements by Chan algorithm [13,36], the distance differences between the emitter and the base stations are obtained, thus multiple TDOA measurements form a set of estimated equations about the emitter. We assume ðx, ŷÞ is the estimated position of the emitter and ðx l , y l Þ, ðl = 1, 2, ⋯, LÞ is the known position of the lth receiver station, then the emitter position can be calculated by the following formula:…”

“…In general, the localization methods contain two main categories of two-step localization method and one-step localization method. Algorithms of two-step localization method [11][12][13][14][15][16][17][18][19][20] are commonly composed of two steps: first, each receiver station measures and computes the parameters related to the position of the target. The parameters involved in position include time difference of arrival (TDOA) [11][12][13], angle of arrival (AOA) [14][15][16][17], frequency difference of arrival (FDOA) [18][19][20], etc.…”

“…Algorithms of two-step localization method [11][12][13][14][15][16][17][18][19][20] are commonly composed of two steps: first, each receiver station measures and computes the parameters related to the position of the target. The parameters involved in position include time difference of arrival (TDOA) [11][12][13], angle of arrival (AOA) [14][15][16][17], frequency difference of arrival (FDOA) [18][19][20], etc. The second step is to construct equations using the parameters to estimate the position of the target.…”