Abstract
In Mars exploration the effective time of communication between orbiters is short, and the relative distance and gesture between them change fast. The signal to noise ratio (SNR) estimation is required in receiver to change adaptively the data rate in the communication system. Therefore, SNR estimation is a key technique in adaptive data transmission. We propose a blind SNR estimation for communication between orbiters in Mars exploration via subspace method. The subspace method has better SNR estimation than some conventional SNR estimation algorithms. Numerical simulations demonstrate the effectiveness and improvement of the proposed algorithm.
Highlights
The long distance between Mars and Earth causes long transmission time delay and signal attenuation
signal to noise ratio (SNR) estimation algorithms based on data aided (DA) contain maximum likelihood (ML), minimum mean square error (MMSE) [5, 6], split symbol moments estimator (SSME) [7, 8], and the separation of signal and noise using higher-order cumulants [9]
SNR estimation algorithms based on non-data aided (NDA) are second- and fourth-order moments (M2M4) [10, 11], signal-to-variation ratio (SVR) [12], squared signal-to-noise variance (SNV) [13], and data fitting (DF) [14]
Summary
The long distance between Mars and Earth causes long transmission time delay and signal attenuation. SNR estimation algorithms based on DA contain maximum likelihood (ML), minimum mean square error (MMSE) [5, 6], split symbol moments estimator (SSME) [7, 8], and the separation of signal and noise using higher-order cumulants [9]. SNR estimation algorithms based on NDA are second- and fourth-order moments (M2M4) [10, 11], signal-to-variation ratio (SVR) [12], squared signal-to-noise variance (SNV) [13], and data fitting (DF) [14]. This paper intends to develop a blind SNR estimation for communication between orbiters in Mars exploration via subspace method, which achieves accurate estimate result.
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