Pulsar Signal Characteristic Frequency Identification And Phase Estimation Base On FFT

DOI

10.2991/lemcs-14.2014.146How to use a DOI?

Keywords

pulsar;fft; phase evaluation;CRB;Mento-Carlo

Abstract

To meet the detection of pulsars with low SNR, this paper presents a pulse signal recognition algorithm based on FFT. The new method could reduce the accumulation of time domain compared with the traditional method and could complete the detecting within a very short period of time First combined with the characteristics of pulsar signals ,make a theoretical description, for characteristic frequency identification method Second ,after fft ,by looking at the peak of a specific frequency ,find the characteristic frequency ,use it to estimate pulsar phase change in time domain .Third, Give the CRB(Cramer-Rao performance limit ) of characteristic frequency identification method. Use Mento-Carlo simulation for the simulation of pulsar PSRJ0007+7303. Simulation results show statistical results compared to the CRB in the same order of magnitude. Characteristic frequency identification method could achieve effective detection. The result shows Characteristic frequency identification method is an effective way for pulsar Identification and the evaluation of phase change which is directly related to the TOA parameters evaluation

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tianrui Hou
AU  - Guodong Xu
AU  - Pengfei Li
AU  - Jialin Hou
PY  - 2014/05
DA  - 2014/05
TI  - Pulsar Signal Characteristic Frequency Identification And Phase Estimation Base On FFT
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 639
EP  - 643
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.146
DO  - 10.2991/lemcs-14.2014.146
ID  - Hou2014/05
ER  -