Fast cyclostationary possion signal simulation method and hardware system thereof

Abstract

The invention discloses a fast cyclostationary possion signal simulation method and hardware for realizing the method. According to the simulation method, the standard accumulation contour of cyclostationary poisson signals can be fitted by utilizing a Gaussian model. The implementation mode of the algorithm is summarized as follows: decomposing the standard accumulation contour of cyclostationary poisson signals into sub Gaussian component contour curves by utilizing a Gaussian fitting method, generating a photon sequence through sub Gaussian component contours, introducing a poisson model to control the signal flow intensity of the photon sequence, vice versa, synthesizing all sub component photon sequences to obtain the photon sequence of the fitted contour, and generating a simulation signal through the fitted contour. The fast cyclostationary poisson signal simulation method and the hardware system thereof are applicable to fast generation of poisson signals in navigation simulation systems of X-ray pulsar navigation and the like.

Description

Technical field: [0001] The invention belongs to the field of signal and information processing, and in particular relates to a cyclostationary Poisson signal fast simulation method and a hardware system for realizing the method. The method can be used in signal simulation and demonstration verification systems in X-ray pulsar navigation. Background technique: [0002] X-ray pulsar navigation is a new autonomous navigation technology that can provide accurate navigation information for earth orbiting spacecraft and deep space probes, as well as precise position, velocity, attitude and Time and other rich navigation information. In 2003, Sheikh initially demonstrated the feasibility of self-service high-precision orbit determination of spacecraft based on X-ray pulsars, which set off an upsurge in X-ray pulsar navigation research. At the beginning of 2004, the Defense Advanced Research Projects Agency of the U.S. Department of Defense proposed the research plan of "autonomou...

AI Technical Summary

Problems solved by technology

The biggest feature of the Poisson distribution model is that it is simple and easy to implement, but the disadvantage is that the signal can only be given by the total number in the sampling unit, and it is impossible to distinguish the photon arrival time with high precision, which will lead to a relatively large calculation error in the light travel time during the time conversion process. large, which is not conducive to the reliability of navigation algorithm performance evaluation

Similarly, although the exponential model has complete theoretical support, under the assumption that the arrival intensity of photons obeys the Poisson distribution, this model is an ideal data simulation model. However, in actual operation, it is found that when this model is applied to a simulation system, it is necessary to solve the differential equation and calculate If the amount is too large, the photon generation efficiency is extremely low, which seriously hinders the real-time performance and practicability of the simulation system.

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