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Online S/N ratio estimation of calibrated average for Rayleigh channel

A signal-to-noise ratio estimation and signal-to-noise ratio technology, which is applied in the field of channel estimation and can solve problems such as inapplicable Rayleigh fading channels

Inactive Publication Date: 2005-02-23
SOUTHEAST UNIV
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Problems solved by technology

[0004] However, the estimation algorithm of the existing online SNR estimation method is based on the AWGN channel, which is not suitable for the Rayleigh fading channel

Method used

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  • Online S/N ratio estimation of calibrated average for Rayleigh channel
  • Online S/N ratio estimation of calibrated average for Rayleigh channel
  • Online S/N ratio estimation of calibrated average for Rayleigh channel

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Embodiment Construction

[0016] The present invention replaces the actual time-varying Rayleigh fading factor with the mean value of the Rayleigh fading factor, deduces the relationship between the channel SNR and the statistical value of the received data, utilizes this relationship to obtain the estimated value of the channel SNR,

[0017] The specific steps are as follows:

[0018] Step 1: For each frame signal r output by the demodulator n ′, find the mean value of its envelope E(|r n ′|) and power mean E(|r n '| 2 );

[0019] Step 2: According to the signal envelope mean value and power mean value obtained in step 1, calculate the ratio z=E(|r n '| 2 ) / [E(|r n '|)] 2 ;

[0020] Step 3: Use the average value of the Rayleigh fading factor E(|α n |) instead of the time-varying Rayleigh fading factor α n , using the least squares fitting method, the approximate functional relationship between the signal-to-noise ratio β and the ratio z obtained in the second step β=-43.3586z 2 +83.9816z-30...

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Abstract

The estimate method is to apply to the mobile communication system. Substitute the actual Rely fading factor with the average value of the Rely fading factor to derivate the relationship between the signal-to-noise ratio (S / N) of the channel and the statistic value of the received data. By applying this relationship, the estimated value of the S / N of the channel is obtained. The invention overcomes the disadvantage of the method, which can only be applied on the AWGN channel.

Description

technical field [0001] The invention is an online signal-to-noise ratio estimation method applicable to a mobile communication system, which belongs to the technical field of channel estimation in the mobile communication system. Background technique [0002] In mobile communication, channel SNR estimation is an important technique. Power control, adaptive modulation, channel decoding, etc. all require an estimate of the signal-to-noise ratio. According to the applicable channel type, common SNR estimation methods can be divided into SNR estimation methods applicable to additive white Gaussian noise (AWGN) channels and SNR estimation methods applicable to Rayleigh fading channels. Two categories. [0003] Online SNR estimation is an estimation algorithm that directly uses received data symbols to estimate channel SNR. It does not require additional auxiliary signals and has high channel utilization. Its estimation is based on the received dat...

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Application Information

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IPC IPC(8): H04B17/336
Inventor 潘志文李晋尤肖虎高西奇金润姬朴宇欧
Owner SOUTHEAST UNIV
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