No abstract

The paper focuses on scientific issues related to new application of pulsar signals for airplane-based navigation. A possible algorithm for processing of pulsar signals that consists of epoch-folding, matched filtering and detection is proposed and evaluated in this paper. The algorithm proposed is verified using the real experimental data obtained from the radio observatory Dwingeloo, the Netherland. The serious trouble in this study is that the total number of the input data within a repetition period is much more of the number of samples in a pulsar template taken from the EPN database. Therefore have been developed and evaluated two new algorithms for epoch-folding, which not only improve Signal-to-Noise Ratio of pulsar signals but as well reduce the number of samples of the output signals to the required number.

Abstract.A new parallel algorithm for signal processing and a parallel systolic architecture of a CFAR processor with adaptive censoring and post detection integration (API) are presented in the paper. The processor proposed is used for target detection when echoes from targets are performed in conditions of binomial distribution pulse jamming. The property of the algorithm proposed is its ability automatically to determine and censor the unwanted samples corrupted by pulse jamming in both, the two-dimensional reference window and the test cell, before noise level estimation. In case of binomial distribution pulse jamming for big repetition frequency, the censoring capabilities of the algorithm offered from Behar is small and the probability of false alarm is not constant. We offer the vector at the output of the reference window to be sorted and censored again. In such a way the influence of pulse jamming environment over adaptive threshold is reduced to minimum. The systolic architecture of the API CFAR is designed. Computational losses of the systolic architecture are estimated as a number of processor elements and computational steps needed for real-time implementation.

No abstract