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SNR estimation method based on sub space

A technology of subspace and signal subspace, which is applied in the field of SNR estimation based on subspace, achieves the effect of fast processing speed, excellent estimation performance, and small amount of calculation

Active Publication Date: 2019-01-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

The classic frequency-domain method is based on the smooth characteristics of the white noise power spectrum, which is suitable for the SNR estimation of the Additive White Gaussian Noise (AWGN) channel, but not suitable for the color noise environment

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  • SNR estimation method based on sub space
  • SNR estimation method based on sub space
  • SNR estimation method based on sub space

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0047] In a complex AWGN channel, the received signal can be expressed as

[0048] r k =x k +n k

[0049] Among them, nk is the complex Gaussian white noise with zero mean under sequential sampling, and its variance is The noise column vector composed of L sampling data before time t can be expressed as

[0050] n(t)=[n t ,n t-1 ,...,n t - L+1 ] T

[0051] in,() T Represents the transpose, and the second moment of the noise vector can be expressed as

[0052]

[0053] Where E[] represents mathematical expectation, superscript H represents conjugate transpose, and I is an L×L identity matrix.

[0054]

[0055] x k is at the carrier frequency f c The band-pass signal under , expressed as

[0056] ...

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Abstract

The present invention discloses an SNR estimation method based on a sub space. The method comprises the following steps of: the step 1: solving an estimation value of a covariance matrix by employingreceiving signals obtained through a communication device; the step 2: solving dimensions of a signal sub space; the step 3: performing characteristic value decomposition for the estimation value of the covariance matrix obtained in the step 1, and performing descending order of the characteristic values according to the dimensions of the signal sub space; and the step 4: solving noise power and signal power according to the characteristic values obtained in the step 3 so as to obtain an estimation value of the SNR. The SNR estimation method based on the sub space is small in calculated amountand faster in processing speed, and has estimation performances being superior to that of other algorithms in the prior art.

Description

technical field [0001] The present invention relates to the technical field of signal processing, in particular to a subspace-based SNR estimation method. Background technique [0002] Mars is the most explored planet in the solar system. Due to the long distance between Mars and the Earth, the signal transmission time is prolonged and the signal attenuation is large. At the same time, the relative distance changes rapidly, and the detector load and power consumption are also very limited. These realistic situations have caused great troubles to ground fire communications. A short communication arc will result in less effective communication time, so a higher effective data transmission rate is required. Furthermore, real-time changes in the relative distance and relative attitude between devices will also cause real-time changes in the signal-to-noise ratio (SNR) of the signal received at the receiving end. This requires real-time adjustment of the code rate to improve ...

Claims

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Application Information

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IPC IPC(8): H04B17/336
CPCH04B17/336
Inventor 张小飞孙泽洲郑旺王成华朱秋明
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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