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Mathematical Problems in Engineering
Volume 2017, Article ID 9607821, 5 pages
https://doi.org/10.1155/2017/9607821
Research Article

A Fast Detection Algorithm for the X-Ray Pulsar Signal

School of Aerospace Engineering, Tsinghua University, Beijing, China

Correspondence should be addressed to Yafeng Zhan; nc.ude.auhgnist@fynahz

Received 22 August 2016; Revised 27 November 2016; Accepted 22 December 2016; Published 4 January 2017

Academic Editor: Yakov Strelniker

Copyright © 2017 Hao Liang and Yafeng Zhan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The detection of the X-ray pulsar signal is important for the autonomous navigation system using X-ray pulsars. In the condition of short observation time and limited number of photons for detection, the noise does not obey the Gaussian distribution. This fact has been little considered extant. In this paper, the model of the X-ray pulsar signal is rebuilt as the nonhomogeneous Poisson distribution and, in the condition of a fixed false alarm rate, a fast detection algorithm based on maximizing the detection probability is proposed. Simulation results show the effectiveness of the proposed detection algorithm.