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Non-data-assisted signal-to-noise ratio estimation method for mpsk signal based on combination of open and closed loops

A signal-to-noise ratio estimation, non-data-assisted technology, applied in the field of channel estimation, can solve the problems of insufficient utilization of continuous signal open-loop estimation methods and further improvement of estimation accuracy, and achieve low hardware implementation complexity, small estimation deviation, Estimate the effect of fast speed

Active Publication Date: 2016-09-07
PLA UNIV OF SCI & TECH
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Problems solved by technology

However, the open-loop estimation method for continuous signals is not fully utilized, and the estimation accuracy needs to be further improved.

Method used

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  • Non-data-assisted signal-to-noise ratio estimation method for mpsk signal based on combination of open and closed loops
  • Non-data-assisted signal-to-noise ratio estimation method for mpsk signal based on combination of open and closed loops
  • Non-data-assisted signal-to-noise ratio estimation method for mpsk signal based on combination of open and closed loops

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0030] The overall implementation process of the present invention is as follows figure 1 As shown, each step is described in detail below:

[0031] (1) Acquisition of envelope information

[0032] The pure MPSK signal has the characteristic of constant envelope, but the actual received signal contains noise. Noise will cause fluctuations in the envelope of the received MPSK signal, and the severity of the change in the envelope reflects the signal-to-noise ratio. Therefore, the envelope of the MPSK signal can be used to estimate the signal-to-noise ratio.

[0033] The first step of the present invention is to obtain signal envelope information. The received MPSK signal is divided into several segments of length N, and then processed segment by segment. The received MPSK signal has undergone quadrature down-conversion and can be divided into two signals ...

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Abstract

The invention discloses a non-data auxiliary SNR estimation method for open loop and closed loop combined MPSK signals. The method includes the first step of obtaining second-order envelope statistical information and first-order envelope statistical information through two received orthogonal signals, the second step of utilizing the square of the sum of the second-order statistical information of first-section data and the square of the sum of the first-order statistical information of the first-section data to calculate a statistical parameter value, the third step of estimating the SNR according to the one-one mapping relation between the statistical parameter value and the SNR, and the fourth step of carrying out smoothing filtering on the SNR estimated value through a closed-loop filter. The method has the advantages that any auxiliary data are not needed, carrier recovery does not need to be carried out, the SNR estimated value can be fast obtained, the estimation accuracy is high, the estimation deviation is small, the requirements of data quantization in the hardware implementation process are fully considered, and the complexity of hardware implementation is low. The non-data auxiliary SNR estimation method for the open loop and closed loop combined MPSK signals is applied to a communication system using an MPSK constant envelop modulation mode and other modes.

Description

technical field [0001] The invention belongs to channel estimation technology, in particular to an MPSK signal non-data-aided signal-to-noise ratio estimation method combining open and closed loops. Background technique [0002] With the help of channel information provided by SNR estimation, channel transmission efficiency can be effectively improved. In today's constant pursuit of high performance, SNR estimation technology has a wide range of applications. For example, high-performance channel coding methods such as Tubo codes and LDPC codes need to use SNR information to assist decoding. Adaptive coding and modulation technology also needs SNR information as the basis for coding and modulation scheme selection. In addition, in power control, Technical fields such as adaptive equalization and dynamic resource allocation also need to use signal-to-noise ratio information to improve performance. [0003] A lot of research has been done on SNR estimation, which can be divid...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02H04L25/03
Inventor 张邦宁郭道省龚超陈祝允邹芹宇叶展王杭先杨茂强史煜
Owner PLA UNIV OF SCI & TECH
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