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A blind signal detection algorithm for passive location system based on troposcatter

Published online by Cambridge University Press:  11 September 2018

Zan Liu Open the ORCID record for Zan Liu [Opens in a new window] ,
Xihong Chen ,
Qiang Liu  and
Zedong Xie
Zan Liu*
Affiliation:
Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, Shaanxi, People's Republic of China
Xihong Chen
Affiliation:
Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, Shaanxi, People's Republic of China
Qiang Liu
Affiliation:
Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, Shaanxi, People's Republic of China
Zedong Xie
Affiliation:
Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, Shaanxi, People's Republic of China
*
Author for correspondence: Zan Liu, E-mail: kgdliuzan@163.com
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Abstract

To improve detection performance of passive location system based on troposcatter, we propose a blind signal detection algorithm. According to our algorithm, complementary ensemble empirical mode decomposition decomposes the received signal into several intrinsic mode functions (IMFs). To reconstruct the signal and background noises, difference between the entropy of adjacent IMFs is utilized as a standard. Different IMFs are utilized to estimate threshold of energy detection algorithm and energy level of received signal. Simulation examples indicate that the proposed algorithm can blindly and effectively detect the signal.

Keywords

Complementary ensemble empirical mode decompositionenergy detectionentropy theorypassive location systemtroposcatter
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 10 , Issue 10 , December 2018 , pp. 1128 - 1133
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

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