The Imaging Localization Algorithm of Radar Transmitters with Decoys Based on Position Observing Information Tolerance Synthesize

To solve the problem of radar transmitters with decoys localization, a novel imaging localization algorithm based on position observing information tolerance synthesize (“POINTS” for short) is put forward. The following provides specific steps. Signals in the observing area are received by two moving passive scoutplanes. The signals received by scoutplane 2nd use Fourier transformation to the frequency domain, and the time difference is compensated in the frequency domain. Then the signals whose time difference has been compensated use the inverse Fourier transformation to time domain, and the Doppler frequency shift difference is compensated in the time domain. The information increment function is constructed by complex conjugate sum operation with the signals which have been transformed and the signals received by scoutplane 1st. Finally, the POINTS is constructed with the weighted operation which is used to associate different slice position information increment function. The results of simulation show that the imaging localization algorithm has high precision and super resolution features and can help identify the key point radars and the radar decoys.