An Improved Generalized Adaptive Coherent Integrator Algorithm

DOI

10.2991/iiicec-15.2015.384How to use a DOI?

Keywords

LFM (Linear Frequency Modulated) signal; GACI (Generalized Adaptive Coherent Integrator) algorithm; IGACI (Improved Generalized Adaptive Coherent Integrator) algorithm

Abstract

GACI (Generalized Adaptive Coherent Integrator) algorithm is quite effective in detecting pulse signals. We aim to improve it further and present in this paper improved GACI algorithm, called by us IGACI algorithm. In IGACI algorithm, momentum factors, more than those in GACI algorithm, are introduced into the iteration formulas for weight coefficients. This greater introduction of momentum factors allows the utilization of more history information available in weight coefficients during impulse period, and accordingly the sinusoidal and LFM (Linear Frequency Modulated) signals to be detected can be integrated adaptively and coherently; thus, under the condition of low input SNR (signal to noise ratio), signal detection can be accomplished without requiring knowledge of a priori information or with a little knowledge of a priori information required. Both GACI and IGACI algorithms are used for detecting the LFM signals in white Gaussian noise. Simulation results confirm preliminarily that IGACI algorithm is indeed better than GACI algorithm, and show that IGACI algorithm is feasible.

Copyright

© 2015, 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  - Peng Wang
AU  - Mingyu Song
PY  - 2015/03
DA  - 2015/03
TI  - An Improved Generalized Adaptive Coherent Integrator Algorithm
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1767
EP  - 1770
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.384
DO  - 10.2991/iiicec-15.2015.384
ID  - Wang2015/03
ER  -