Wang Liandong

Repeating Decoys Discrimination Based on Range Glint

Repeating decoys (based on DRFM), through the main lobe into the radar receiver, realistically simulate real targets echo in both time and frequency domain, and cause serious threat to radars search, identification and tracking. At the near distance, angular error caused by targets angular glint is an important noise source and it can be utilized to the discrimination of repeating decoys. At the remote and ultra long distance, angular glint is not applicable for the discrimination of repeating decoys. Compared with the angular glint error, the range glint error is completely independent of the targets absolute distance. Therefore, the targets range glint provides a basis to the discrimination between the repeating decoy and the actual target. This paper, based on the premise that the actual target is multi-feed radiation and the repeating decoy is single feed radiation, analyzes the range glint of extended targets by sampling ratio ranging model and explains its physical essence from the perspective of echo spectrum distortion. On the basis, by analyzing the range measuring variance of both actual targets and repeating decoys, the Neyman-Pearson theorem and GLRT are utilized to make correct discrimination. Finally, the performance of the discrimination algorithm is illustrated by Monte Carlo simulations.

Repeating decoy discrimination based on angular glint

Repeating decoys (based on DRFM), through main lobe into the radar receiver, realistically simulate real targets echo in both time and frequency domain, and greatly affect radar regular operation of radar. This paper, based on the premise that the actual target is multi-feed radiation and the repeating decoy is single feed radiation, analyzes in theory and explains its physical essence from the perspective of echo spectrum distortion. On the basis, it utilizes the monopulse amplitude comparison angle estimation method to establish angular glint statistics model and analyzes the differences between actual target and repeating decoys in angle measuring variance. Then, the Neyman-Pearson theorem and GLRT are utilized to make correct discrimination. Finally, the performance of the discrimination algorithms are illustrated through Monte Carlo simulations.

Position estimation method for rotating part in Non-cooperation aerial target

Position estimation for rotating part in high resolution range profile is precondition for rotating part signal separation, when non-cooperation aerial target is observed by inverse synthetic aperture radar (ISAR). Position estimation methods for rotating part put forward in current literatures are not enough robust, when they are applied to real data. In this paper, based on formulation of high resolution range profile with rotating part, distribution characteristic of micro-motion component correspond to rotating part is analyzed at first, then position estimation method is put forward and ISAR real data is used to test the method. The processing result in real data shows effectiveness of the estimation method in this paper.