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An Improved Symbol Rate Estimation Method for Non-Constant Envelope Signals

A symbol rate, constant envelope technology, applied in the field of digital communication, can solve the problems such as roll-off factor and modulation type sensitivity, MPSK and MQAM signal estimation error, failure and other problems, achieve high engineering realization significance, wide signal application scope , the effect of good noise immunity

Active Publication Date: 2022-04-08
SHANDONG UNIV
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Problems solved by technology

[0004] The symbol rate estimation algorithm based on the envelope square spectrum is mainly used in MQAM signals, suitable for MPSK and MQAM signals shaped by large roll-off factors, but the algorithm fails in MASK signals, and a large number of experiments show that the algorithm For MPSK and MQAM signals under small roll-off factor shaping, the estimation error is large, so this method is sensitive to the roll-off factor and modulation type

Method used

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  • An Improved Symbol Rate Estimation Method for Non-Constant Envelope Signals

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Embodiment 1

[0060] An improved symbol rate estimation algorithm suitable for non-constant envelope signals, used to estimate the symbol rate of non-constant envelope signals, such as figure 1 As shown, the method includes the following steps:

[0061] Step 1, square the envelope of the received signal sequence r(t) to obtain a new sequence {A(t)}, {A(t)}={|r(t)| 2};

[0062] In step 1, the received signal sequence r(t) is obtained through the additive Gaussian white noise channel, and the expression of r(t) is shown in formula (I):

[0063] r(t)=s(t)+n(t) (I)

[0064] In formula (I), n(t) means that the mean is 0 and the variance is Gaussian white noise independent of the signal s(t), the expression of s(t) is shown in formula (II):

[0065]

[0066] In formula (II), x(t) represents the complex baseband symbol sequence after the shaping filter, f c Indicates the carrier frequency, the expression of x(t) is shown in formula (III):

[0067]

[0068] In formula (III), c n =a n...

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Abstract

The invention relates to an improved symbol rate estimation algorithm suitable for non-constant envelopes, aiming at the problem that the symbol rate estimation algorithm based on the envelope square spectrum fails in MASK signals and signals under low roll-off factor shaping, An improved algorithm is proposed. By calculating the envelope square spectrum of the signal, and calculating the relative prominence of the amplitude of each frequency point, the relative prominence is multiplied by the original amplitude to correct the envelope square spectrum, and then corrected by extracting The maximum value of the spectrum is roughly estimated, and the simplified ZoomFFT algorithm is used to fine estimate the narrow band range around the rough estimate, so as to obtain the estimated value of the symbol rate. The improved algorithm solves the problem of large estimation errors of the original algorithm in MASK signals and low roll-off factor shaping signals. Compared with the original algorithm, the improved algorithm has a wider range of signal application, and has low complexity, which is beneficial to engineering implementation.

Description

technical field [0001] The invention relates to an improved symbol rate estimation algorithm suitable for non-constant envelope signals, which belongs to the technical field of digital communication. Background technique [0002] The symbol rate, also known as the symbol rate, is one of the main parameters for distinguishing analog signals from digital signals, and it is also an important parameter for describing signals. Accurate estimation has very important application value in the fields of radio spectrum management and monitoring, signal identification and demodulation. From the perspective of modulation identification in non-cooperative communication with less prior knowledge, the symbol rate Accurate estimation plays a prerequisite role in the recovery of digital modulation symbols, so it is very important in signal preprocessing. In addition, after the identification of the modulation scheme, the blind demodulation of the signal also requires a highly accurate symbo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02G06F17/14
CPCH04L25/0262G06F17/142
Inventor 王洪君胡燕南王娜李洋张艳艳徐红玉刘东杰张学林范玉奇程野
Owner SHANDONG UNIV
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