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Blind SNR estimating method based on pseudo-error rate statistics

A technology of bit error rate and blind belief, applied in the field of signal-to-noise ratio estimation in digital communication, can solve the problems of high computational complexity and great effort

Active Publication Date: 2011-11-09
TSINGHUA UNIV
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Problems solved by technology

[0008] In summary, the main disadvantage of the existing SNR estimation algorithm is that the computational complexity is too high, and it needs to pay a lot of money to realize it in the actual system.

Method used

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  • Blind SNR estimating method based on pseudo-error rate statistics
  • Blind SNR estimating method based on pseudo-error rate statistics
  • Blind SNR estimating method based on pseudo-error rate statistics

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Embodiment Construction

[0065] Below in conjunction with accompanying drawing, introduce the content of the present invention in detail:

[0066] figure 1 is a flowchart of the SNR estimation method. like figure 1 shown. After the signal received by the receiver undergoes operations such as baseband processor, discretization processor, matched filtering, synchronization, etc., a discrete sampling signal sequence without frequency and timing deviation is obtained. The sequence passes through the decision point selector to obtain a two-way decision point sequence with the sampling rate equal to the symbol rate; the sequence passes through the pseudo-bit error rate statistician to obtain the estimated value of the pseudo-bit error rate. Finally, the value is passed through the signal-to-noise ratio mapper to obtain the estimated signal-to-noise ratio.

[0067] figure 2 It is the circuit block diagram of the signal-to-noise ratio estimator system. and figure 1 Correspondingly, the received signal...

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Abstract

The invention relates to a blind signal-to-noise ratio estimation method based on pseudo bit error rate statistic, belonging to a technical field of signal-to-noise ratio estimation in digital communication. The invention is characterized in comprising the following steps: baseband processing, discretization filter match, eliminating existed carrier wave frequency, phase error and timing error; selecting decision point by decision device, and pseudo bit error rate statistic and signal-to-noise ratio mapping. The invention performs pseudo bit error rate statistic by utilizing the message of multi sampling points in each modulation symbol of discretization system, and again performs one-to-one mapping by utilizing corresponding relation between the pseudo bit error rate and the signal-to-noise ratio, thereby obtaining signal-to-noise ratio estimation value. The invention is applicable for BPSK and QPSK modulation signal; no additional training sequences are needed, and can perform the signal-to-noise ratio estimation at lower complexity and reasonable performance and is suitable for various occasions where the signal-to-noise ratio estimation is required.

Description

technical field [0001] The invention relates to a blind signal-to-noise ratio estimation method based on pseudo-bit error rate statistics, which is suitable for BPSK and QPSK modulated signals, without additional training sequence and other expenses, and can achieve signal-to-noise ratio with very low complexity and reasonable performance The invention belongs to the technical field of signal-to-noise ratio estimation in digital communication. Background technique [0002] In most digital communication systems, noise is often introduced into the signal received by the receiver. The ratio of received signal to noise power is defined as signal-to-noise ratio, which can be used as an important measure to determine communication system performance indicators such as bit error rate and frame error rate. In addition, in order to achieve optimal performance, key algorithms and system components in many communication systems need to know the signal-to-noise ratio information. For ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/22H04L25/02H04B17/00H04B17/336
Inventor 詹亚锋邢腾飞包建荣陆建华
Owner TSINGHUA UNIV
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