This letter presents a new algorithm for improving the Signal to Noise Ratio (SNR) of complex sinusoidal signals contaminated by additive Gaussian noises using sum of Higher-Order Statistics (HOS). We conduct some computer simulations to show that the proposed algorithm can improve the SNR more than 7 dB compared with the conventional coherent integration when the SNR of the input signal is -10 dB.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Teruyuki HARA, Atsushi OKAMURA, Tetsuo KIRIMOTO, "An Algorithm for Improving the Signal to Noise Ratio of Noisy Complex Sinusoidal Signals Using Sum of Higher-Order Statistics" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 9, pp. 1955-1957, September 1998, doi: .
Abstract: This letter presents a new algorithm for improving the Signal to Noise Ratio (SNR) of complex sinusoidal signals contaminated by additive Gaussian noises using sum of Higher-Order Statistics (HOS). We conduct some computer simulations to show that the proposed algorithm can improve the SNR more than 7 dB compared with the conventional coherent integration when the SNR of the input signal is -10 dB.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_9_1955/_p
Copy
@ARTICLE{e81-a_9_1955,
author={Teruyuki HARA, Atsushi OKAMURA, Tetsuo KIRIMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Algorithm for Improving the Signal to Noise Ratio of Noisy Complex Sinusoidal Signals Using Sum of Higher-Order Statistics},
year={1998},
volume={E81-A},
number={9},
pages={1955-1957},
abstract={This letter presents a new algorithm for improving the Signal to Noise Ratio (SNR) of complex sinusoidal signals contaminated by additive Gaussian noises using sum of Higher-Order Statistics (HOS). We conduct some computer simulations to show that the proposed algorithm can improve the SNR more than 7 dB compared with the conventional coherent integration when the SNR of the input signal is -10 dB.},
keywords={},
doi={},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - An Algorithm for Improving the Signal to Noise Ratio of Noisy Complex Sinusoidal Signals Using Sum of Higher-Order Statistics
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1955
EP - 1957
AU - Teruyuki HARA
AU - Atsushi OKAMURA
AU - Tetsuo KIRIMOTO
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1998
AB - This letter presents a new algorithm for improving the Signal to Noise Ratio (SNR) of complex sinusoidal signals contaminated by additive Gaussian noises using sum of Higher-Order Statistics (HOS). We conduct some computer simulations to show that the proposed algorithm can improve the SNR more than 7 dB compared with the conventional coherent integration when the SNR of the input signal is -10 dB.
ER -